diff --git a/analysis/current/analysis-report-hybrid.json b/analysis/current/analysis-report-hybrid.json index decfd8667804d2cb3e9245574499720d6ad75f81..f322a65e902a0d0c02f285ad26c65b4ce0f74cbe 100644 --- a/analysis/current/analysis-report-hybrid.json +++ b/analysis/current/analysis-report-hybrid.json @@ -1,8 +1,8 @@ { "schema_version": "1.0", "repo": "huggingface/transformers", - "snapshot_id": "20260620T180017Z", - "generated_at": "2026-06-20T18:10:01Z", + "snapshot_id": "20260621T000031Z", + "generated_at": "2026-06-21T00:05:10Z", "evidence_quality": "full", "llm_enrichment": true, "meta_bugs": [ @@ -2126,6 +2126,87 @@ } ] }, + { + "cluster_id": "cluster-44001-3", + "summary": "Cluster of 3 related pull requests linked by soft_similarity.", + "status": "open", + "confidence": 0.5, + "canonical_issue_number": null, + "canonical_pr_number": 44002, + "issue_numbers": [], + "pr_numbers": [ + 44001, + 44002, + 44004 + ], + "evidence_types": [ + "soft_similarity" + ], + "pr_comparisons": [ + { + "left_pr_number": 44001, + "right_pr_number": 44002, + "code_similarity": 0.175, + "size_similarity": 0.595, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.375, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 44001, + "right_pr_number": 44004, + "code_similarity": 0.087, + "size_similarity": 0.237, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.262, + "shared_filenames": [], + "shared_file_areas": [] + }, + { + "left_pr_number": 44002, + "right_pr_number": 44004, + "code_similarity": 0.125, + "size_similarity": 0.398, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.304, + "shared_filenames": [], + "shared_file_areas": [] + } + ] + }, + { + "cluster_id": "cluster-44000-2", + "summary": "Cluster of 2 related pull requests linked by soft_similarity.", + "status": "open", + "confidence": 0.5, + "canonical_issue_number": null, + "canonical_pr_number": 44025, + "issue_numbers": [], + "pr_numbers": [ + 44000, + 44025 + ], + "evidence_types": [ + "soft_similarity" + ], + "pr_comparisons": [ + { + "left_pr_number": 44000, + "right_pr_number": 44025, + "code_similarity": 0.206, + "size_similarity": 0.78, + "file_overlap": 0.0, + "area_overlap": 0.0, + "patch_similarity": 0.333, + "shared_filenames": [], + "shared_file_areas": [] + } + ] + }, { "cluster_id": "cluster-44018-2", "summary": "Cluster of 2 related pull requests linked by soft_similarity.", @@ -2457,6 +2538,25 @@ "target_issue_number": 43979, "reason": "PRs in cluster-43979-11 are treated as duplicates because they converge on issue #43979 with closing_reference, shared_issue_target, soft_similarity evidence." }, + { + "cluster_id": "cluster-44000-2", + "canonical_pr_number": 44025, + "duplicate_pr_numbers": [ + 44000 + ], + "target_issue_number": null, + "reason": "PRs in cluster-44000-2 are treated as duplicates because they share soft_similarity evidence." + }, + { + "cluster_id": "cluster-44001-3", + "canonical_pr_number": 44002, + "duplicate_pr_numbers": [ + 44001, + 44004 + ], + "target_issue_number": null, + "reason": "PRs in cluster-44001-3 are treated as duplicates because they share soft_similarity evidence." + }, { "cluster_id": "cluster-44018-2", "canonical_pr_number": 44068, diff --git a/analysis/current/analysis-report-hybrid.llm-reviews.json b/analysis/current/analysis-report-hybrid.llm-reviews.json index d542339aeab0ee2f7372dfc4aa9786ebbd736c31..91c00568efef3b3d55733373de11dfd88ad956de 100644 --- a/analysis/current/analysis-report-hybrid.llm-reviews.json +++ b/analysis/current/analysis-report-hybrid.llm-reviews.json @@ -1,8 +1,8 @@ { "schema_version": "1.0", "repo": "huggingface/transformers", - "snapshot_id": "20260620T180017Z", - "generated_at": "2026-06-20T18:10:01Z", + "snapshot_id": "20260621T000031Z", + "generated_at": "2026-06-21T00:05:10Z", "model": "gpt-5.4-mini?service_tier=flex", "reviews": [ { @@ -13,8 +13,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -137,9 +137,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -541,8 +541,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -641,9 +641,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -919,8 +919,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -1012,9 +1012,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -1248,8 +1248,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -1343,9 +1343,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -1591,8 +1591,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -1680,9 +1680,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -1892,8 +1892,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -1986,9 +1986,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -2222,8 +2222,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -2312,9 +2312,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -2536,8 +2536,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -2631,9 +2631,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -2879,8 +2879,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -2967,9 +2967,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -3176,8 +3176,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -3271,9 +3271,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -3516,8 +3516,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -3605,9 +3605,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -3823,8 +3823,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -3913,9 +3913,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -4131,8 +4131,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -4222,9 +4222,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -4443,8 +4443,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -4536,9 +4536,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -4769,8 +4769,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -4858,9 +4858,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -5067,8 +5067,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -5157,9 +5157,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -5369,8 +5369,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -5458,9 +5458,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -5673,8 +5673,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -5760,9 +5760,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -5966,8 +5966,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -6056,9 +6056,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -6271,8 +6271,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -6359,9 +6359,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -6562,8 +6562,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -6653,9 +6653,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -6874,8 +6874,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -6961,9 +6961,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -7158,8 +7158,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -7248,9 +7248,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -7463,8 +7463,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -7554,9 +7554,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -7775,8 +7775,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -7866,9 +7866,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -8087,8 +8087,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -8175,9 +8175,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -8378,8 +8378,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -8469,9 +8469,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -8690,8 +8690,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -8779,9 +8779,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -8988,8 +8988,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -9077,9 +9077,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -9289,8 +9289,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -9378,9 +9378,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -9587,8 +9587,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -9675,9 +9675,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -9884,8 +9884,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -9979,9 +9979,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -10224,8 +10224,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -10312,9 +10312,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -10515,8 +10515,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -10605,9 +10605,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -10820,8 +10820,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -10906,9 +10906,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -11097,8 +11097,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -11185,9 +11185,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -11397,8 +11397,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -11484,9 +11484,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -11687,8 +11687,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -11779,9 +11779,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -12012,8 +12012,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -12099,9 +12099,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -12302,8 +12302,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -12392,9 +12392,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -12610,8 +12610,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -12701,9 +12701,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -12928,8 +12928,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -13018,9 +13018,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -13233,8 +13233,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -13323,9 +13323,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -13547,8 +13547,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -13636,9 +13636,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -13940,166 +13940,166 @@ "issue:41628|issue:42757", "issue:45071|issue:46082" ], - "prepared_review_unit_hash": "84e4f6bae9b0a8cadea50c3300172483ce9eff989592bd36fbe0b288c3bfb382", + "prepared_review_unit_hash": "899b0f2f0fb48009074208e35f1f4f89db10fad28dc758a367985c7c33e43fe0", "component_budget": { "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 30, - "serialized_chars": 36675, - "estimated_input_tokens": 9169, - "estimated_eval_tokens": 18594 + "serialized_chars": 36677, + "estimated_input_tokens": 9170, + "estimated_eval_tokens": 18596 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a set of unrelated Transformers issues spanning import errors, tokenizer regressions, model/config bugs, and training/runtime problems. None of the soft-edge pairs look like true duplicates of the same underlying bug or change, so all are rejected.", - "confidence": 0.93, - "canonical_issue_reason": "issue:44779 is the clearest representative of the tokenizer-regression subset: it describes a concrete v4-to-v5 behavior change, has inbound references, and is specific enough to stand in for the most coherent theme in this otherwise heterogeneous set.", + "summary": "These are mostly unrelated Transformers issues that only share broad themes like imports, tokenizer regressions, or model/config behavior. The soft-similarity links are surface-level only; none look like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "issue:44779 is the strongest standalone issue here because it has a clear regression description, reproducibility context, and broader relevance than the more niche or vague reports.", + "best_issue_reason": null, "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:42222", "right": "issue:45200", "accept": false, - "reason": "Different model families and failures: vitpose model breakage vs Gemma 4 mm_token_type_ids defaulting." + "reason": "Different model families and failure modes: vitpose model breakage vs Gemma 4 mm_token_type_ids defaulting. No shared code-path." }, { "left": "issue:43479", "right": "issue:44079", "accept": false, - "reason": "Different bug classes: multimodal config initialization vs ModelOutput key assignment logic." + "reason": "One is multimodal config initialization defaults, the other is ModelOutput key assignment semantics. Similar Python object behavior, but not the same bug." }, { "left": "issue:42898", "right": "issue:44779", "accept": false, - "reason": "Both are tokenizer-related regressions, but they describe different models and different symptoms." + "reason": "Both are tokenizer regressions, but one is about clean_up_tokenization_spaces in v5 while the other is DeepSeek codec/BPE handling. Distinct fixes." }, { "left": "issue:43784", "right": "issue:43824", "accept": false, - "reason": "Different import failures from different causes: missing nn in sentence-transformers vs missing Qwen2_5_VL export." + "reason": "Both are import errors, but they affect different packages and symbols: sentence-transformers nn import vs transformers Qwen2.5-VL export." }, { "left": "issue:44734", "right": "issue:45103", "accept": false, - "reason": "Different code paths: serve/KV-cache tensor indexing vs auto_docstring annotation handling." + "reason": "Completely different paths: serving KV-cache continuation crash vs auto_docstring/annotation introspection AttributeError." }, { "left": "issue:27957", "right": "issue:30333", "accept": false, - "reason": "Flash Attention 2 support for XLM-Roberta is unrelated to MLflow job reporting on training failure." + "reason": "XLMRoberta Flash Attention 2 support is unrelated to MLflow not reporting failed training jobs." }, { "left": "issue:30333", "right": "issue:34689", "accept": false, - "reason": "Unrelated failures: MLflow status reporting vs model loading regression for Llama 3.2 vision." + "reason": "Training-job MLflow reporting vs model-loading regression for Llama 3.2 Vision. Different subsystems and symptoms." }, { "left": "issue:43874", "right": "issue:45092", "accept": false, - "reason": "Different multimodal problems: missing image patch method vs remote-code meta-init incompatibility." + "reason": "Both involve multimodal models, but one is a missing image-patch method in GLM46VImageProcessorFast and the other is old InternVL2 remote-code/meta-init incompatibility." }, { "left": "issue:42898", "right": "issue:43295", "accept": false, - "reason": "Both touch v5 behavior, but one is cleanup-tokenization semantics and the other is processor/tokenizer image passing regression." + "reason": "Both are v5-related tokenizer/processor regressions, but one is cleanup-space behavior and the other is processor.tokenizer/images-to-tokenizer breakage." }, { "left": "issue:42898", "right": "issue:45356", "accept": false, - "reason": "Different tokenizer regressions affecting different models and failure modes." + "reason": "Different tokenizer regressions affecting different models and code paths; not the same underlying bug." }, { "left": "issue:44060", "right": "issue:45125", "accept": false, - "reason": "Tied-weights warning bug is unrelated to missing _tp_plan tensor-parallel support." + "reason": "Both concern Qwen variants, but one is a wrong tied-weights warning and the other is missing tensor-parallel plan metadata." }, { "left": "issue:43116", "right": "issue:44190", "accept": false, - "reason": "Example-script multilabel output bug is unrelated to local dataset loading in a different script." + "reason": "Different example scripts with different failures: multi-label classification outputs vs local dataset loading." }, { "left": "issue:44295", "right": "issue:45656", "accept": false, - "reason": "Registering position_ids as a buffer is unrelated to optimizer step being called twice with deepspeed." + "reason": "Registering position_ids as a buffer is unrelated to deepspeed causing optimizer.step() to run twice." }, { "left": "issue:45405", "right": "issue:45712", "accept": false, - "reason": "PEFT version pinning issue is unrelated to leftover dummy classes leaking into dir(transformers)." + "reason": "PEFT version pinning is unrelated to dummy class cleanup and repo-check/dir(transformers) leakage." }, { "left": "issue:30333", "right": "issue:35141", "accept": false, - "reason": "MLflow failure reporting and token embedding reinitialization are unrelated training/model bugs." + "reason": "MLflow reporting on failed jobs is unrelated to token embedding resize/post_init reinitialization." }, { "left": "issue:22355", "right": "issue:28282", "accept": false, - "reason": "Both are import errors, but one is missing transformers.onnx and the other is missing PyTorch in the environment." + "reason": "Different import failures tied to different missing dependencies/modules: transformers.onnx vs PyTorch requirement for AutoModel." }, { "left": "issue:44933", "right": "issue:45712", "accept": false, - "reason": "Nonexistent image_utils import is a separate packaging/API issue from dummy PT object cleanup." + "reason": "Both touch import/export surface area, but one is a missing image_utils import and the other is leftover dummy PT classes; not the same fix." }, { "left": "issue:44222", "right": "issue:44297", "accept": false, - "reason": "FP8 save_pretrained moe bug is unrelated to tokenizer_class metadata mismatch on save_pretrained." + "reason": "Both mention save_pretrained, but one is FP8 MoE model serialization and the other is tokenizer_config.json class metadata." }, { "left": "issue:44075", "right": "issue:46231", "accept": false, - "reason": "SGD optimizer args not used is unrelated to a documentation parameter-name typo." + "reason": "Runtime optimizer argument handling vs a documentation parameter-name mismatch. Not the same bug." }, { "left": "issue:44360", "right": "issue:46762", "accept": false, - "reason": "A discussion about a missing ReLU in DSA indexer is unrelated to Minimax numerical differences." + "reason": "Different numerical/algorithmic issues in unrelated components: DSA indexer ReLU vs Minimax MSA attention accuracy differences." }, { "left": "issue:44448", "right": "issue:46132", "accept": false, - "reason": "Pegasus v4/v5 output differences are unrelated to AttentionInterface.register changing registered function behavior." + "reason": "Both are behavioral changes, but one is Pegasus output drift across versions and the other is AttentionInterface.register changing callable semantics." }, { "left": "issue:42831", "right": "issue:44623", "accept": false, - "reason": "FineGrainedFP8 accuracy issues are unrelated to processor.save_pretrained missing files." + "reason": "FP8 accuracy issues are unrelated to processor.save_pretrained missing files." }, { "left": "issue:44297", @@ -14111,43 +14111,25 @@ "left": "issue:42796", "right": "issue:43723", "accept": false, - "reason": "Both involve tokenizers, but one is BPE marker handling and the other is AutoTokenizer loading in v5." - }, - { - "left": "issue:43479", - "right": "issue:43644", - "accept": false, - "reason": "Different config bugs: default vision/audio config initialization vs non-persistent buffers filled with junk." - }, - { - "left": "issue:44222", - "right": "issue:44623", - "accept": false, - "reason": "FP8 moe save_pretrained bug is unrelated to processor.save_pretrained missing files." - }, - { - "left": "issue:45245", - "right": "issue:46132", - "accept": false, - "reason": "Category-count runtime error is unrelated to AttentionInterface.register behavior changes." + "reason": "Both are tokenizer-related, but one is tokenizer BPE marker handling and the other is AutoTokenizer.from_pretrained loading failure." }, { "left": "issue:43479", "right": "issue:46665", "accept": false, - "reason": "Multimodal config defaults are unrelated to from_pretrained behavior inside Python classes." + "reason": "Both involve from_pretrained/configuration behavior, but they describe different call patterns and failure mechanisms." }, { "left": "issue:41628", "right": "issue:42757", "accept": false, - "reason": "Both are import errors, but one is missing AutoImageProcessor export and the other is missing is_offline_mode from huggingface_hub." + "reason": "Separate import errors from different packages and symbols; no common underlying defect." }, { "left": "issue:45071", "right": "issue:46082", "accept": false, - "reason": "PretrainedConfig type-checking regression is unrelated to LlamaConfig head_dim validation." + "reason": "PretrainedConfig type-checking regression is not the same as LlamaConfig validating head_dim divisibility." } ] }, @@ -14166,8 +14148,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -14257,9 +14239,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -14562,208 +14544,208 @@ "issue:42907|issue:43937", "issue:41628|issue:45278" ], - "prepared_review_unit_hash": "847ccf51bba8f69b80362e53fcfbf5633b373a5f9dc40963df2a0a9b5778047d", + "prepared_review_unit_hash": "bb18186b3d7485bb912388344419b516e54520bde0eea31df910512c01150604", "component_budget": { "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, "item_count": 47, "soft_pair_count": 29, - "serialized_chars": 35215, - "estimated_input_tokens": 8804, - "estimated_eval_tokens": 17864 + "serialized_chars": 35217, + "estimated_input_tokens": 8805, + "estimated_eval_tokens": 17866 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This set is highly heterogeneous: most items are unrelated tokenizer, import, model-loading, generation, or numerical issues. None of the soft pairs look like the same underlying bug/change, so all soft edges should be rejected.", - "confidence": 0.95, - "canonical_issue_reason": "No single issue is a safe canonical duplicate anchor because the items span many distinct failure modes and subsystems.", + "summary": "The set is mostly a grab bag of unrelated Transformers regressions: tokenizer edge cases, model-specific loading/accuracy bugs, and several version-compatibility/import failures. None of the soft pairs look like the same concrete bug, so no duplicate merges are justified.", + "confidence": 0.84, + "canonical_issue_reason": "Issue 45278 is the broadest representative issue here: it summarizes multiple import failures after a version upgrade, which is the closest umbrella theme among the import-related items.", "canonical_pr_reason": null, - "best_issue_reason": "Issue 45278 is the closest broad umbrella for the import-regression subset, but the cluster is still too mixed to treat it as a true canonical duplicate.", + "best_issue_reason": "Issue 45278 is the best single issue to represent the cluster because it is high-level and captures the recurring upgrade/import-regression pattern better than the more narrowly scoped reports.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:41628", "right": "issue:43824", "accept": false, - "reason": "Both are import errors, but they concern different missing symbols and different code paths." + "reason": "Different import failures: missing AutoImageProcessor vs missing Qwen2.5-VL class. Similar symptom, not the same code-path bug." }, { "left": "issue:43408", "right": "issue:46402", "accept": false, - "reason": "Both mention Sam3, but one is a model-type warning and the other is a weight-loading bug." + "reason": "Different problems: a model-type warning during SAM3 instantiation versus SAM3 text-encoder weights not loading." }, { "left": "issue:22355", "right": "issue:28218", "accept": false, - "reason": "Missing transformers.onnx and tokenizer spacing after added tokens are unrelated issues." + "reason": "Unrelated: missing transformers.onnx module vs tokenizer adding an extra space after an added token." }, { "left": "issue:42831", "right": "issue:45753", "accept": false, - "reason": "FineGrainedFP8 accuracy regression and Qwen3_5 image infinite loop are different bugs." + "reason": "Accuracy issue in FineGrainedFP8 is unrelated to Qwen3_5 infinite-loop behavior on a specific image." }, { "left": "issue:39401", "right": "issue:44568", "accept": false, - "reason": "Both are tokenizer issues, but offset_mapping and BOS/EOS insertion are distinct behaviors." + "reason": "Both are tokenizer bugs, but one is wrong offset mappings and the other is missing BOS/EOS insertion; different behavior and likely different fixes." }, { "left": "issue:27957", "right": "issue:30990", "accept": false, - "reason": "Flash Attention 2 support for XLMRoberta is unrelated to a sentence-transformers loading hang." + "reason": "XLMRoberta Flash Attention 2 support and Sentence Transformers loading hang are different subsystems and failure modes." }, { "left": "issue:42886", "right": "issue:43066", "accept": false, - "reason": "Offline cache loading and wrong tokenizer decoder type are separate tokenizer failures." + "reason": "Offline cache loading failure is not the same as a wrong tokenizer decoder type in v5." }, { "left": "issue:42757", "right": "issue:45278", "accept": false, - "reason": "A missing is_offline_mode import is not the same concrete bug as broad import errors after upgrade." + "reason": "Both mention imports, but one is a specific is_offline_mode import error and the other is a broad post-upgrade import breakage; not the same bug." }, { "left": "issue:42886", "right": "issue:42994", "accept": false, - "reason": "Tokenizer cache loading offline and quantized model saving are unrelated." + "reason": "Tokenizer cache/offline loading and quantized model saving failures are unrelated." }, { "left": "issue:44188", "right": "issue:44373", "accept": false, - "reason": "torch.compile attention divergence and a wrong docstring for position_ids are unrelated." + "reason": "Torch.compile attention divergence is unrelated to a docstring typo for position_ids." }, { "left": "issue:43408", "right": "issue:46369", "accept": false, - "reason": "Sam3 model-type mismatch and sam3-litetext memory overflow are different failure modes." + "reason": "SAM3 tracker warning and sam3-litetext memory overflow are different SAM3 issues with different symptoms." }, { "left": "issue:43232", "right": "issue:45593", "accept": false, - "reason": "Generation kwargs after sync_gpus and D-FINE auxiliary-loss handling are unrelated." + "reason": "Generation kwargs after sync_gpus and D-FINE auxiliary-loss behavior are unrelated code paths." }, { "left": "issue:44261", "right": "issue:44373", "accept": false, - "reason": "MLA layernorm epsilon precision and a docstring issue do not describe the same bug." + "reason": "Missing rms_norm_eps in MLA q_a_layernorm is unrelated to a docstring error." }, { "left": "issue:43646", "right": "issue:46002", "accept": false, - "reason": "Custom model initialization breakage and NaNs after checkout+init are distinct problems." + "reason": "Custom model initialization breakage and NaNs in classification heads are not the same underlying defect." }, { "left": "issue:42796", "right": "issue:43122", "accept": false, - "reason": "Tokenizer BPE-marker handling for one model is not the same as version-to-version tokenization drift." + "reason": "Both are tokenizer-related, but one is BPE-marker handling and the other is version-to-version tokenization drift; not the same concrete bug." }, { "left": "issue:42907", "right": "issue:44945", "accept": false, - "reason": "Quantized-model saving failure and pipeline-parallel output corruption are unrelated." + "reason": "Saving dequantized Ministral/Devstral models is unrelated to incorrect LLM output under pipeline parallelism." }, { "left": "issue:30990", "right": "issue:33357", "accept": false, - "reason": "Loading hang for sentence-transformers and a MacOS bus error on CLIP are different bugs." + "reason": "Loading stuck in Sentence Transformers is not the same as a MacOS bus error on a CLIP model." }, { "left": "issue:43576", "right": "issue:43784", "accept": false, - "reason": "The env CLI regression and the sentence-transformers import NameError are unrelated." + "reason": "Broken transformers env command and NameError importing sentence-transformers are different failures." }, { "left": "issue:39401", "right": "issue:44488", "accept": false, - "reason": "Qwen3 offset_mapping and inability to load cjvt/sleng-bert are different tokenizer/model issues." + "reason": "Qwen3 wrong offset mappings and inability to load cjvt/sleng-bert are unrelated." }, { "left": "issue:43756", "right": "issue:44060", "accept": false, - "reason": "Dropped RoPE layers in Smollm3 and a tied-weights warning in Qwen3-Next are separate model-definition bugs." + "reason": "Smollm3 RoPE-layer discrepancy and Qwen3-Next tied-weights warning are unrelated model-specific issues." }, { "left": "issue:42371", "right": "issue:44263", "accept": false, - "reason": "TF32 settings guidance and torch.split return behavior are unrelated." + "reason": "TF32 behavior API warning is unrelated to torch.split return values in GlmMoeDsaIndexer." }, { "left": "issue:43976", "right": "issue:44945", "accept": false, - "reason": "Python version compatibility and pipeline-parallel output correctness are unrelated." + "reason": "Python version compatibility regression is unrelated to pipeline-parallelism output errors." }, { "left": "issue:44295", "right": "issue:44297", "accept": false, - "reason": "Buffer access for position_ids and tokenizer_class metadata mismatch are different save/load issues." + "reason": "Reading position_ids after buffer registration and tokenizer_class mismatch on save are different tokenizer/model serialization bugs." }, { "left": "issue:42907", "right": "issue:44964", "accept": false, - "reason": "Saving dequantized Ministrals/Devstrals and loading Phi-4 multimodal are unrelated." + "reason": "Dequantized model saving and loading Phi-4 multimodal instruct are different issues." }, { "left": "issue:44117", "right": "issue:44704", "accept": false, - "reason": "A None in TOKENIZER_MAPPING_NAMES and cached_file kwargs forwarding are different loader internals." + "reason": "TOKENIZER_MAPPING_NAMES returning None and AutoProcessor failing to pass kwargs are distinct loading-path bugs." }, { "left": "issue:46172", "right": "issue:46762", "accept": false, - "reason": "DeepSeek-v4 tensor transpose behavior and Minimax attention numerical drift are not the same underlying issue." + "reason": "DeepSeek comb transpose bug and Minimax attention numerical drift are different attention implementations and failure modes." }, { "left": "issue:43784", "right": "issue:45600", "accept": false, - "reason": "Import NameError for sentence-transformers and removed Sam3LiteText auto-mappings are unrelated import failures." + "reason": "Import NameError in sentence-transformers is unrelated to auto_mappings.py referencing removed Sam3LiteText configs." }, { "left": "issue:42907", "right": "issue:43937", "accept": false, - "reason": "Quantized model saving and invalid GenerationConfig validation are unrelated." + "reason": "Dequantized model saving failure and invalid GLM-5 GenerationConfig are unrelated." }, { "left": "issue:41628", "right": "issue:45278", "accept": false, - "reason": "Missing AutoImageProcessor and broad import errors after upgrade are related only at a very high level, not the same concrete bug." + "reason": "A specific missing export and a broad multi-import regression after upgrade are related only at the symptom level, not the same concrete bug." } ] }, @@ -14782,8 +14764,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -14873,9 +14855,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -15180,20 +15162,20 @@ "issue:45405|issue:45446", "issue:44291|issue:45071" ], - "prepared_review_unit_hash": "ab7a6030494c5ce37291a893d4d1bb6dbe48d8ec56bc5a82b48e94db9add1d4f", + "prepared_review_unit_hash": "93782cfb2f4bf4344d31668808ee7bceab7561a198e10e4f073b0eeefe533355", "component_budget": { "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 30, - "serialized_chars": 36461, + "serialized_chars": 36463, "estimated_input_tokens": 9116, "estimated_eval_tokens": 18488 }, @@ -15202,174 +15184,186 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is heterogeneous: the soft edges are mostly broad topical similarities (tokenizers, v5 regressions, FlashAttention, trainer/model bugs) rather than the same underlying defect. I would not merge any of the candidate pairs.", - "confidence": 0.97, - "canonical_issue_reason": "No true canonical duplicate: the issues span unrelated code paths and product areas, so a single issue should not represent the cluster as a duplicate set.", + "summary": "This cluster is heterogeneous: the soft-similarity pairs mostly share vague Transformers/version/model themes but do not describe the same concrete bug or change, so none should be merged as duplicates. No PRs are present.", + "confidence": 0.91, + "canonical_issue_reason": "issue:42371 is the broadest, highest-activity report in the set and is the best representative of a version/configuration-regression class, though it is not a duplicate of the others.", "canonical_pr_reason": null, - "best_issue_reason": "issue:42673 is the clearest standalone report in the set, with a specific repro and concrete failure mode (VRAM leak in Qwen3ForCausalLM), so it is the best representative issue only in a reporting-quality sense.", + "best_issue_reason": "issue:42371 has the most discussion and the widest surface area among these unrelated reports, making it the strongest cluster anchor.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:43976", "right": "issue:45446", "accept": false, - "reason": "Different problems: a Python/version compatibility report vs an incorrect PyTorch version check in flex_attention." + "reason": "Python version compatibility vs a PyTorch import/version check in flex_attention; different failure modes." }, { "left": "issue:43116", "right": "issue:43493", "accept": false, - "reason": "Multi-label classification script output bug vs SigLIP2 implementation mismatch; unrelated code paths." + "reason": "Example script multi-label empty output vs SigLIP2 implementation discrepancy; unrelated code paths." }, { "left": "issue:42673", "right": "issue:45072", "accept": false, - "reason": "VRAM leak in threaded dataloader usage vs dtype mismatch in bfloat16 inference; not the same bug." + "reason": "VRAM leak in multi-dataloader-thread use vs bfloat16 dtype mismatch in inference; not the same bug." }, { "left": "issue:44038", "right": "issue:45478", "accept": false, - "reason": "Both mention Qwen3.5/Qwen3 family, but one is a Qwen3-VL-Moe bug and the other is a from_pretrained error; distinct failures." + "reason": "Different Qwen model families and different from_pretrained failures; too broad to be one fix." }, { "left": "issue:44625", "right": "issue:46002", "accept": false, - "reason": "num_labels propagation issue vs NaNs in classification heads; different symptoms and likely different fixes." + "reason": "Config propagation for num_labels vs NaNs in classification heads after init; different underlying issues." }, { "left": "issue:45083", "right": "issue:45446", "accept": false, - "reason": "Helper-function behavior in qwen3_omni_moe vs flex_attention import/version gating; no shared underlying defect." + "reason": "Qwen3_omni_moe feature-length helper bug vs flex_attention import gating; no shared code path." }, { "left": "issue:45357", "right": "issue:45478", "accept": false, - "reason": "save_pretrained key persistence bug vs from_pretrained loading error; related model family, but not the same code-path issue." + "reason": "save_pretrained key serialization bug vs from_pretrained load error; related model family but distinct problems." }, { "left": "issue:42371", "right": "issue:43874", "accept": false, - "reason": "TF32 API/settings warning vs missing image-patch method in GLM46V image processor; unrelated." + "reason": "TF32 behavior settings warning vs missing image-processor method; unrelated subsystems." }, { "left": "issue:44075", "right": "issue:44936", "accept": false, - "reason": "Optimizer SGD arguments ignored vs trainer.evaluate failing after train; different trainer behaviors." + "reason": "Optimizer SGD arguments ignored vs trainer.evaluate() failing after train(); different lifecycle bugs." }, { "left": "issue:42222", "right": "issue:43441", "accept": false, - "reason": "Vitpose model breakage vs FlashAttention failure in Ministral-3; unrelated model families and failures." + "reason": "VitPose model breakage vs Ministral flash-attention failure; only a broad Transformers-v5 theme overlaps." }, { "left": "issue:43116", "right": "issue:43825", "accept": false, - "reason": "Example-script multi-label bug vs pipeline translation error-message mismatch; not the same bug." + "reason": "Empty multi-label outputs in an example script vs an error-message/docs issue for pipeline(); not the same defect." }, { "left": "issue:43992", "right": "issue:44704", "accept": false, - "reason": "Missing embed_tokens.weight in UMT5Encoder vs AutoProcessor not forwarding kwargs to cached_file; different components." + "reason": "Missing model weight on load vs AutoProcessor not forwarding kwargs to cached_file; distinct loading layers." }, { "left": "issue:44995", "right": "issue:46697", "accept": false, - "reason": "GlmMoeDsa stale indexer cache crash vs Swin2SR over-padding; unrelated implementations." + "reason": "GlmMoeDsa stale indexer cache crash vs Swin2SR over-padding; different models and bugs." }, { "left": "issue:43066", "right": "issue:46710", "accept": false, - "reason": "Wrong tokenizer decoder type in v5 vs accuracy regression in DeepSeek-R1-Distill-Llama; no shared code-path." + "reason": "Tokenizer decoder type mismatch vs accuracy regression after upgrade; too general and not one code-path fix." }, { "left": "issue:28348", "right": "issue:46640", "accept": false, - "reason": "GPT2 FlashAttention 2 support request vs a generic Flash Attention issue; too little evidence they are the same bug." + "reason": "FlashAttention 2 support request for GPT2 vs a vague Flash Attention issue; no concrete same bug." }, { "left": "issue:46614", "right": "issue:46752", "accept": false, - "reason": "Stale phonemizer language state vs apply_chat_template crash on empty list; completely different failures." + "reason": "Stale phonemizer backend state vs empty-list chat-template IndexError; unrelated tokenizer/runtime behavior." }, { "left": "issue:44263", "right": "issue:46762", "accept": false, - "reason": "GlmMoeDsa torch.split indexing issue vs Minimax attention numerical differences; unrelated." + "reason": "GlmMoeDsaIndexer torch.split handling vs Minimax attention numerical differences; different components." }, { "left": "issue:43827", "right": "issue:45446", "accept": false, - "reason": "Docs still referencing pipeline() vs incorrect PyTorch version check; documentation cleanup is not the same as runtime gating." + "reason": "Docs still referencing removed pipeline() vs a PyTorch version check bug; documentation vs runtime validation." }, { "left": "issue:45092", "right": "issue:46762", "accept": false, - "reason": "InternVL2 meta-init incompatibility vs Minimax attention numerical drift; distinct model/code paths." + "reason": "Remote-code meta-init incompatibility vs Minimax attention numerical drift; not the same change." }, { "left": "issue:43064", "right": "issue:43673", "accept": false, - "reason": "FSDP2/PEFT optimizer-state bug vs GenerationMixin cache missing in chunked prefill; unrelated training vs generation issues." + "reason": "Distributed optimizer state corruption vs missing GenerationMixin cache in chunked_prefill; unrelated code paths." }, { "left": "issue:42673", - "right": "issue:42796", + "right": "issue:46655", "accept": false, - "reason": "Qwen3 VRAM leak under multi-threaded dataloaders vs tokenizer BPE marker handling; different subsystems." + "reason": "VRAM leak in threaded loading vs video processor padding error; different symptoms and fixes." }, { "left": "issue:43937", "right": "issue:45563", "accept": false, - "reason": "Invalid GenerationConfig vs stale warning for num_return_sequences; not the same defect." + "reason": "GenerationConfig validation failure vs stale warning for num_return_sequences; one is an error, the other a warning bug." }, { "left": "issue:33453", "right": "issue:39401", "accept": false, - "reason": "Tokenizer loading regression vs Qwen3 offset_mapping bug; both tokenizer-related but clearly different problems." + "reason": "Tokenizer loading regression vs Qwen3 offset_mapping bug; both tokenizer-related but not the same defect." }, { "left": "issue:44380", "right": "issue:46077", "accept": false, - "reason": "GPT2 attention scaling ignored under SDPA/FlashAttention vs Gemma4 bidirectional mask construction; different attention semantics." + "reason": "GPT2 attention scaling ignored under SDPA/FlashAttention vs Gemma4 bidirectional mask logic; different attention semantics." }, { "left": "issue:45356", "right": "issue:46614", "accept": false, - "reason": "Kimi tokenizer codec/regex regression vs phonemizer backend stale-language bug; unrelated tokenization vs phonemization issues." + "reason": "Kimi tokenizer codec/warning regression vs stale phonemizer language backend; unrelated tokenization stacks." + }, + { + "left": "issue:43673", + "right": "issue:46328", + "accept": false, + "reason": "Chunked_prefill cache missing vs SequenceFeatureExtractor.pad performance issue; not the same bug." + }, + { + "left": "issue:42222", + "right": "issue:46752", + "accept": false, + "reason": "VitPose model breakage vs empty-list chat template crash; different components and failure modes." }, { "left": "issue:45405", "right": "issue:45446", "accept": false, - "reason": "Dependency version bump in constants vs flex_attention import check; not a duplicate bug." + "reason": "Released PEFT version requirement mismatch vs flex_attention PyTorch import check; different release issues." }, { "left": "issue:44291", "right": "issue:45071", "accept": false, - "reason": "Unexpected _is_hf_initialized arg during meta init vs PretrainedConfig type checking; separate compatibility issues." + "reason": "init_empty_weights unexpected argument vs PretrainedConfig type checking; distinct v5 compatibility problems." } ] }, @@ -15474,214 +15468,214 @@ "issue:44263|issue:44485", "issue:43066|issue:43122" ], - "prepared_review_unit_hash": "e0b4e3914b1a03e7cfc52bb873e6b5ef81574369d0e2f26a876c594d9e47b9b8", + "prepared_review_unit_hash": "ec5428f8fe301f66ffa841b30ecc56e747f178db8591b5bb8ed2911a365da526", "component_budget": { "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, "item_count": 48, "soft_pair_count": 30, - "serialized_chars": 36324, - "estimated_input_tokens": 9081, - "estimated_eval_tokens": 18418 + "serialized_chars": 36326, + "estimated_input_tokens": 9082, + "estimated_eval_tokens": 18420 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The soft edges mostly connect superficially similar Transformers issues, but the underlying bugs differ by model, API, or subsystem. I would not merge any of these pairs as duplicates.", - "confidence": 0.91, - "canonical_issue_reason": "No single issue is clearly canonical across the set; the items span unrelated bugs in tokenization, model loading, config handling, optimizers, testing utilities, and vision/video code.", + "summary": "These items are a heterogeneous mix of unrelated bug reports and regressions (tokenizers, imports, model loading, training, config, and docs). None of the soft-edge pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": "If one issue must serve as the cluster anchor, issue 44117 is the most concrete and self-contained: it states a specific failing assumption in `from_pretrained` around `TOKENIZER_MAPPING_NAMES` returning `None` and points to a clear code path.", "canonical_pr_reason": null, - "best_issue_reason": "issue:45561 is the strongest standalone issue: it has a clear regression title, concrete failure mode, and active discussion around a reproducible test-environment race.", + "best_issue_reason": "Issue 44117 is the best overall representative because it is precise, actionable, and describes a narrow runtime failure rather than a broad symptom or cosmetic complaint.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:44117", "right": "issue:45588", "accept": false, - "reason": "Both involve runtime failures, but one is a tokenizer mapping bug and the other is a flash-attention crash on sink-less models." + "reason": "Different failures: tokenizer mapping assumptions vs `flash_attention.py` crashing on `s_aux=None`; only broad library/runtime similarity." }, { "left": "issue:44466", "right": "issue:46002", "accept": false, - "reason": "Serialization of tied weights and NaNs in classification heads are different code paths and different failure modes." + "reason": "Serialization of tied `lm_head.weight` depends on device vs NaNs in classification heads after checkout/init; distinct bugs." }, { "left": "issue:44410", "right": "issue:45310", "accept": false, - "reason": "These are model-specific Qwen bugs: missing projections in qwen3next versus from_pretrained errors in Qwen3.5 MoE." + "reason": "Both involve Qwen3.5/Qwen3next, but one is missing attention projections and the other is a `from_pretrained` load error; not the same code-path." }, { "left": "issue:39401", "right": "issue:44779", "accept": false, - "reason": "Both are tokenizer complaints, but they target different models and different tokenization defects (offset mapping vs overall incorrect output)." + "reason": "Different tokenizer bugs for different models: wrong `offset_mapping` vs incorrect tokenization results; not a duplicate." }, { "left": "issue:43937", "right": "issue:44977", "accept": false, - "reason": "GenerationConfig validation for GLM-5 is unrelated to Qwen3.5 flash-attention generation behavior." + "reason": "`GenerationConfig` validation failure vs flash-attention generation misbehavior; separate runtime problems." }, { "left": "issue:45071", "right": "issue:46512", "accept": false, - "reason": "Both touch config objects, but one is type-checking in PretrainedConfig and the other is stale dtype state after from_config()." + "reason": "`PretrainedConfig` type checking regression vs stale `config.dtype` after `from_config`; related area, different bug." }, { "left": "issue:45341", "right": "issue:45561", "accept": false, - "reason": "They both mention testing utils, but one is a generic small bug and the other is a specific xdist worker race on captured_info.txt." + "reason": "A small bug in `testing_utils.py` is not the same as an xdist race on `captured_info.txt`." }, { "left": "issue:44829", "right": "issue:45216", "accept": false, - "reason": "One is training degeneration with flash_attention_3, the other is bad checkpoint saving for Qwen3.5; different failures and code paths." + "reason": "FA3 training degeneration in sequence classification vs a Qwen3.5 `save_pretrained` regression; different symptoms and paths." }, { "left": "issue:45341", "right": "issue:46328", "accept": false, - "reason": "A testing-utils bug and a SequenceFeatureExtractor.pad performance issue are unrelated." + "reason": "`testing_utils.py` bug vs `SequenceFeatureExtractor.pad` inefficiency; unrelated." }, { "left": "issue:43450", "right": "issue:43986", "accept": false, - "reason": "Incorrect batched video processor shapes and an AutoProcessor torchvision crash are both video-related but not the same bug." + "reason": "Video processor shape bug vs crash when loading a video model without torchvision; same subsystem, different failure." }, { "left": "issue:44117", "right": "issue:45081", "accept": false, - "reason": "Tokenizer mapping None handling and Mistral regex patching are different tokenizer-loading problems." + "reason": "Tokenizer mapping `None` handling vs `_patch_mistral_regex` backend attribute crash; not the same defect." }, { "left": "issue:42617", "right": "issue:45341", "accept": false, - "reason": "A 3d_parallel.py execution failure is unrelated to a small testing_utils bug." + "reason": "`3d_parallel.py` execution failure is unrelated to the `testing_utils.py` bug." }, { "left": "issue:38617", "right": "issue:41628", "accept": false, - "reason": "Both are import errors, but they concern different missing symbols and likely different exports regressions." + "reason": "Both are import errors, but they concern different symbols (`layer_type_validation` vs `AutoImageProcessor`) and different code paths." }, { "left": "issue:43408", "right": "issue:43742", "accept": false, - "reason": "A model-type warning for sam3_video/sam3_tracker is not the same as a KeyError loading MobileLLM." + "reason": "Model-type warning for `sam3_video` vs key error loading `facebook/MobileLLM-125M`; not duplicates." }, { "left": "issue:45362", "right": "issue:46328", "accept": false, - "reason": "Qwen3.5 chat crashing and a pad inefficiency in feature extraction are unrelated." + "reason": "Qwen3.5 chat crash vs `SequenceFeatureExtractor.pad` performance issue; unrelated." }, { "left": "issue:43122", "right": "issue:46298", "accept": false, - "reason": "Tokenization regression and noisy logging are different concerns with no shared underlying bug." + "reason": "Tokenizer behavior change across versions vs noisy logging message; not the same bug." }, { "left": "issue:42222", "right": "issue:46178", "accept": false, - "reason": "Broken vitpose models and an undefined backend error are separate loading failures." + "reason": "Broken VitPose models vs missing backend mapping for `tensorflow_text`; different failures in different components." }, { "left": "issue:44877", "right": "issue:46231", "accept": false, - "reason": "Strict config loading for granite_speech and a docs parameter-name mismatch are unrelated." + "reason": "Strict config loading for `granite_speech` vs a documentation parameter-name mismatch; not duplicates." }, { "left": "issue:44484", "right": "issue:45310", "accept": false, - "reason": "A question about max_shard_size is not the same as a Qwen3.5 from_pretrained regression." + "reason": "Question about `max_shard_size` vs Qwen3.5 MoE load error; unrelated." }, { "left": "issue:42371", "right": "issue:44261", "accept": false, - "reason": "TF32 API/settings guidance and a missing rms_norm_eps bug in MLA are unrelated." + "reason": "TF32 API warning vs missing `rms_norm_eps` causing MLA precision differences; different topics." }, { "left": "issue:39401", "right": "issue:46209", "accept": false, - "reason": "Tokenizer offset mapping and FP8 inference on B200 concern completely different parts of the stack." + "reason": "Tokenizer `offset_mapping` bug vs FP8 inference failure on B200; unrelated." }, { "left": "issue:43937", "right": "issue:44496", "accept": false, - "reason": "Invalid GenerationConfig and unrecognized model/config model_type are different loading/validation failures." + "reason": "Invalid `GenerationConfig` vs unrecognized model type/config schema issue; different root causes." }, { "left": "issue:44410", "right": "issue:45478", "accept": false, - "reason": "These are both Qwen-family reports, but one is missing projections in qwen3next and the other is a from_pretrained error in Qwen3.5 MoE." + "reason": "Missing projections in `qwen3next` vs Qwen3.5 MoE `from_pretrained` error; not the same issue." }, { "left": "issue:42371", "right": "issue:46617", "accept": false, - "reason": "TF32 behavior control and trust_remote_code cache file lookup are unrelated." + "reason": "TF32 settings warning and cache-file `FileNotFoundError` are unrelated." }, { "left": "issue:38617", "right": "issue:44220", "accept": false, - "reason": "A missing configuration_utils import and a fbank feature extraction issue do not share the same bug." + "reason": "ImportError for `layer_type_validation` vs `_torch_extract_fbank_features()` issue; different APIs and failures." }, { "left": "issue:44261", "right": "issue:46762", "accept": false, - "reason": "Both mention numerics in attention-like code, but they are different models and different concrete bugs." + "reason": "MLA `rms_norm_eps` precision bug vs Minimax MSA numerical differences; both numerical but not the same code path." }, { "left": "issue:44075", "right": "issue:45656", "accept": false, - "reason": "SGD arguments being ignored is not the same as optimizer.step being called twice under deepspeed." + "reason": "SGD args ignored vs optimizer step called twice under deepspeed; distinct optimizer bugs." }, { "left": "issue:44933", "right": "issue:45278", "accept": false, - "reason": "A specific missing import from image_utils and a broad import-error regression are too different to merge as duplicates." + "reason": "Specific missing import from `image_utils` vs broad import errors after upgrade; overlap is too general to be a duplicate." }, { "left": "issue:44263", "right": "issue:44485", "accept": false, - "reason": "A torch.split return-value bug in GlmMoeDsaIndexer is unrelated to GLM-5 RoPE implementation correctness." + "reason": "`torch.split()` return-value issue in `GlmMoeDsaIndexer` vs GLM-5 RoPE implementation discussion; different concrete problems." }, { "left": "issue:43066", "right": "issue:43122", "accept": false, - "reason": "Both are tokenizer-related v5 regressions, but one is decoder type validation and the other is changed tokenization output." + "reason": "Wrong tokenizer decoder type in v5 vs changed tokenization output across versions; related domain, but not the same bug." } ] }, @@ -15700,8 +15694,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -15794,9 +15788,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -16039,8 +16033,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -16133,9 +16127,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -16372,8 +16366,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -16465,9 +16459,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -16704,8 +16698,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -16795,9 +16789,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -17016,8 +17010,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -17114,9 +17108,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 47, @@ -17383,8 +17377,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -17485,9 +17479,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -17772,8 +17766,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -17876,9 +17870,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 48, @@ -18175,8 +18169,8 @@ "review_unit_count": 58, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10000-484", "nodes": [ @@ -18207,9 +18201,9 @@ "node_count": 484, "item_count": 484, "soft_pair_count": 1778, - "serialized_chars": 922407, - "estimated_input_tokens": 230602, - "estimated_eval_tokens": 461460 + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 }, "budget": { "node_count": 8, @@ -18314,8 +18308,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-10519-3", "nodes": [ @@ -18392,8 +18386,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-13244-3", "nodes": [ @@ -18463,8 +18457,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-26350-2", "nodes": [ @@ -18526,8 +18520,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-27088-8", "nodes": [ @@ -18759,8 +18753,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-36817-18", "nodes": [ @@ -19111,8 +19105,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-38740-2", "nodes": [ @@ -19174,8 +19168,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-41084-2", "nodes": [ @@ -19237,8 +19231,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-41306-2", "nodes": [ @@ -19300,8 +19294,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-43598-2", "nodes": [ @@ -19363,8 +19357,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-43684-2", "nodes": [ @@ -19426,8 +19420,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-43835-4", "nodes": [ @@ -19526,8 +19520,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-44371-5", "nodes": [ @@ -19648,8 +19642,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45145-2", "nodes": [ @@ -19768,8 +19762,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45672-2", "nodes": [ @@ -19831,8 +19825,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45762-2", "nodes": [ @@ -19894,8 +19888,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45764-2", "nodes": [ @@ -19957,8 +19951,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45810-2", "nodes": [ @@ -20020,8 +20014,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-45869-5", "nodes": [ @@ -20138,8 +20132,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-46439-2", "nodes": [ @@ -20201,8 +20195,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-46551-2", "nodes": [ @@ -20278,7 +20272,7 @@ "soft_pairs": [ "issue:46657|issue:46692" ], - "prepared_review_unit_hash": "f15257405ee859629bfe59abe9f7f9b31e68b1b0f97b991a1eba7fbca8850ca2", + "prepared_review_unit_hash": "67461834f2e2ab97c52f8b3e57d0a37f8b831ecd36d98a170410742c92cf5459", "component_budget": { "node_count": 2, "item_count": 2, @@ -20300,18 +20294,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two issues are related only at a broad training-for-object-detection level. One reports a tensor size mismatch during training; the other reports out-of-memory after several epochs in RT-DETR v2. They do not appear to describe the same underlying bug.", - "confidence": 0.92, - "canonical_issue_reason": "Issue #46657 is the more concrete bug report: it names a specific failure mode (tensor size mismatch) that is easier to diagnose and map to a single code-path problem.", + "summary": "The two issues describe different training failures: one is a tensor size mismatch during object-detection training, the other is out-of-memory after several epochs while training RT-DETR v2. They share a broad training context but not the same underlying bug.", + "confidence": 0.96, + "canonical_issue_reason": null, "canonical_pr_reason": null, - "best_issue_reason": "#46657 is the best representative issue because it describes a distinct, actionable runtime error rather than a general training resource exhaustion symptom.", + "best_issue_reason": "Issue 46657 is the more specific, actionable bug report, but it should not be treated as a duplicate of 46692 because the symptoms and likely root causes differ.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:46657", "right": "issue:46692", "accept": false, - "reason": "Reject: the reports point to different failure classes\u2014shape mismatch vs. memory exhaustion\u2014and do not look like the same defect or fixable by one change." + "reason": "Different failure modes: tensor-shape mismatch versus gradual OOM during RT-DETR v2 training. Same general subsystem, but not the same concrete bug." } ] }, @@ -20341,7 +20335,7 @@ "soft_pairs": [ "pull_request:40546|pull_request:42781" ], - "prepared_review_unit_hash": "c44a20ede68dc4f8ec38202a468d7a0a9f2a645a85d74d50acf885bb74bf9f14", + "prepared_review_unit_hash": "3d787f79bae0a93d64f924e1a8102806902ec18de40ce006d12aacd44d842791", "component_budget": { "node_count": 2, "item_count": 2, @@ -20363,18 +20357,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related VibeVoice PRs, but they are not duplicates: one implements the base VibeVoice model, while the other adds a realtime variant plus acoustic tokenizer and broader integration changes. They overlap heavily because the second builds on the first, but they are not the same underlying change.", - "confidence": 0.89, + "summary": "Two VibeVoice pull requests overlap heavily in shared scaffolding, but they are not duplicates: one adds the base VibeVoice implementation, while the other adds a separate VibeVoice Realtime/tokenizer extension.", + "confidence": 0.88, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #40546 is the better canonical PR because it is the foundational VibeVoice implementation and covers the core model, docs, auto-mapping, and pipeline integration that the later realtime work depends on.", + "canonical_pr_reason": "PR #40546 is the better canonical representative: it is the base VibeVoice implementation, has substantial review/discussion, and is more mature than the later draft realtime extension.", "best_issue_reason": null, - "best_pr_reason": "PR #40546 is the best representative of the cluster since it is the more general and complete core implementation; PR #42781 is a narrower follow-on extension for realtime support.", + "best_pr_reason": "PR #40546 is the best overall representative of the cluster because it is the foundational VibeVoice integration rather than a later variant-specific extension.", "soft_edge_verdicts": [ { - "left": "pull_request:40546", - "right": "pull_request:42781", + "left": "pull_request:40546 (Implement VibeVoice)", + "right": "pull_request:42781 (Add VibeVoice Realtime)", "accept": false, - "reason": "Reject duplicate merge: #42781 is an extension of VibeVoice rather than the same concrete change. It adds realtime-specific behavior and a new acoustic tokenizer, so it would not plausibly be merged into #40546 as one PR without losing distinct scope." + "reason": "They share VibeVoice infrastructure, but the concrete changes differ: #40546 is the core model integration, while #42781 adds realtime and acoustic-tokenizer functionality. That is related scope, not the same underlying change." } ] }, @@ -20404,7 +20398,7 @@ "soft_pairs": [ "pull_request:40755|pull_request:41224" ], - "prepared_review_unit_hash": "12b0397a95491fd87695079bb3a135230b95a92749d598f0f8ca7a6491b373ea", + "prepared_review_unit_hash": "62804b6b4b0adf24c4960e4f31f3edb712f1af64f3bae45a21ebdc2520781f1a", "component_budget": { "node_count": 2, "item_count": 2, @@ -20426,18 +20420,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two pull requests are not duplicates: one adds TimesFM covariate forecasting support, while the other adds DINOv3 image classification support. They touch different models, different code paths, and different user-facing features.", - "confidence": 0.99, + "summary": "The two pull requests are unrelated feature additions in different model families, so this is not a duplicate cluster.", + "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR for deduplication here; the PRs address unrelated features in different model families, so neither should subsume the other.", + "canonical_pr_reason": "No canonical PR: PR 40755 adds TimesFM covariate forecasting, while PR 41224 adds DINOv3 image-classification support; they do not target the same underlying change.", "best_issue_reason": null, - "best_pr_reason": "If forced to pick a single representative artifact, PR #41224 is more self-contained and narrowly scoped, but it is not a duplicate of #40755 and should not be merged with it.", + "best_pr_reason": "PR 41224 is the more self-contained representative of the pair, but it is still unrelated to PR 40755 and should not be treated as a duplicate.", "soft_edge_verdicts": [ { "left": "pull_request:40755", "right": "pull_request:41224", "accept": false, - "reason": "Different models and changesets: TimesFM covariate regression/forecasting versus DINOv3 image classification. They do not fix the same bug or implement the same change, and are not mergeable as one PR." + "reason": "Different models, different code paths, and different user-visible features: TimesFM forecasting with covariates vs DINOv3 image-classification support. They should not be merged as one PR." } ] }, @@ -20560,190 +20554,154 @@ "pull_request:44827|pull_request:45655", "pull_request:43251|pull_request:43254" ], - "prepared_review_unit_hash": "da559e6edc5247a7d71bdc2af9b98e008ce35ec47c4d34c12edd4464ce3edf94", + "prepared_review_unit_hash": "e741fd35ac3446bee399e39292dfb8077ed66d5570bd6337e34993a03f662fd2", "component_budget": { "node_count": 14, "item_count": 14, "soft_pair_count": 19, - "serialized_chars": 36838, - "estimated_input_tokens": 9210, - "estimated_eval_tokens": 18676 + "serialized_chars": 36844, + "estimated_input_tokens": 9211, + "estimated_eval_tokens": 18678 }, "budget": { "node_count": 14, "item_count": 14, "soft_pair_count": 19, - "serialized_chars": 36838, - "estimated_input_tokens": 9210, - "estimated_eval_tokens": 18676 + "serialized_chars": 36844, + "estimated_input_tokens": 9211, + "estimated_eval_tokens": 18678 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is mostly unrelated PRs with coincidental keyword overlap. The only clear duplicate-like pair is the two `fixed_cross_entropy` patches (#43251 and #43254), which both add `weight`/`label_smoothing` support to the same code path and target the same issue.", - "confidence": 0.92, + "summary": "Most items are unrelated PRs spanning different models, docs, and tooling. The only true duplicate-looking pair is the two `fixed_cross_entropy` PRs that both add `weight`/`label_smoothing` support to the same loss helper for the same tracked issue.", + "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": "#43251 is the strongest representative of the only true duplicate pair: it directly fixes issue #43240 and implements the `cross_entropy` kwarg passthrough in `loss_utils.py`; #43254 is essentially the same change with slightly less context.", + "canonical_pr_reason": "PR #43251 is the best canonical PR because it is the clearest, issue-linked implementation of the only real duplicate pair in this set and directly targets the shared loss-utils code path.", "best_issue_reason": null, - "best_pr_reason": "#43251 is the best single PR to represent the cluster because it is the clearest, most complete version of the only substantive duplicate change in the set.", + "best_pr_reason": "PR #43251 is the strongest representative of the cluster\u2019s only substantive duplicate change: it fixes the same `fixed_cross_entropy` kwargs forwarding problem as #43254, with a complete and issue-linked patch.", "soft_edge_verdicts": [ { "left": "pull_request:41855", "right": "pull_request:43823", "accept": false, - "reason": "Both are model-related, but they target different models and different missing functionality; not the same underlying change." + "reason": "Different features: Mistral tokenizer API additions vs adding MobileLLM model support. No shared bug or change." }, { "left": "pull_request:41855", "right": "pull_request:43424", "accept": false, - "reason": "One adds tokenizer methods, the other adds export tests; unrelated code paths and goals." + "reason": "Unrelated areas: tokenizer methods vs ExecuTorch dynamic-shape export test." }, { "left": "pull_request:42668", "right": "pull_request:43823", "accept": false, - "reason": "Both improve model loading, but they cover different multimodal model families and different fixes." + "reason": "Different processor/auto-loading robustness work vs introducing a new model package." }, { "left": "pull_request:43251", "right": "pull_request:43823", "accept": false, - "reason": "Different domains: loss-function kwarg passthrough vs adding a new model package." + "reason": "Loss-function kwargs forwarding is unrelated to adding MobileLLM." }, { "left": "pull_request:43251", "right": "pull_request:44827", "accept": false, - "reason": "Loss utility change versus Mistral4 test/model work; no shared concrete bug." + "reason": "Both touch different code paths: cross-entropy helper vs Mistral4 test/model adjustments." }, { "left": "pull_request:43424", "right": "pull_request:44827", "accept": false, - "reason": "Both are test-related, but they validate unrelated features in different areas." + "reason": "ExecuTorch export testing and Mistral4 fixes are separate concerns." }, { "left": "pull_request:43424", "right": "pull_request:43823", "accept": false, - "reason": "Executorch dynamic-shape export test is unrelated to MobileLLM model addition." + "reason": "Dynamic export tests do not match new-model integration work." }, { "left": "pull_request:43823", "right": "pull_request:45655", "accept": false, - "reason": "New model addition and config-resolution fix are unrelated changes." + "reason": "New MobileLLM model support is unrelated to `cls.config` resolution ordering." }, { "left": "pull_request:43823", "right": "pull_request:43995", "accept": false, - "reason": "Different model implementations and different objectives; not mergeable as one fix." + "reason": "Different model families and fixes: MobileLLM addition vs Falcon output-capture refactor." }, { "left": "pull_request:43995", "right": "pull_request:45213", "accept": false, - "reason": "Falcon refactor and model-creation skill have no shared code-path bug or change." + "reason": "Falcon refactor and model output-capturing changes are unrelated to the model-creation skill PR." }, { "left": "pull_request:43995", "right": "pull_request:44827", "accept": false, - "reason": "Different models and different issues; only broad output-interface similarity." + "reason": "Different concrete changes: Falcon forward-signature refactor vs Mistral4 test fixes." }, { "left": "pull_request:44827", "right": "pull_request:45170", "accept": false, - "reason": "Mistral4 test fixes and `layrnorm` renaming are distinct bugs in different subsystems." - }, - { - "left": "pull_request:44827", - "right": "pull_request:46267", - "accept": false, - "reason": "Mistral4 test work and chat parsing overhaul are completely separate changes." - }, - { - "left": "pull_request:44827", - "right": "pull_request:46744", - "accept": false, - "reason": "Model test fixes and Apple-silicon docs update are unrelated." - }, - { - "left": "pull_request:44827", - "right": "pull_request:46048", - "accept": false, - "reason": "Mistral4 tests and TDT loss kernel integration are different features with no shared concrete bug." - }, - { - "left": "pull_request:44827", - "right": "pull_request:45213", - "accept": false, - "reason": "Shared auto-modeling filename is incidental; one is a model fix and the other is a model-creation skill/documentation PR." - }, - { - "left": "pull_request:43823", - "right": "pull_request:45213", - "accept": false, - "reason": "A new model implementation and a model-creation skill are not the same underlying change." - }, - { - "left": "pull_request:44827", - "right": "pull_request:45655", - "accept": false, - "reason": "Mistral4 test fixes do not overlap with the config-resolution ordering bug." + "reason": "Mistral4 test fixes and CLIP-like `layrnorm` renaming are not the same underlying change." }, { "left": "pull_request:44827", "right": "pull_request:46267", "accept": false, - "reason": "Different areas entirely: model tests versus chat response parsing/serve changes." + "reason": "Mistral4 test fixes are unrelated to chat response parsing updates." }, { "left": "pull_request:44827", "right": "pull_request:46744", "accept": false, - "reason": "Unrelated: model test fixes versus docs for MPS/safetensors loading." + "reason": "Model-specific test fixes do not overlap with Apple Silicon loading docs." }, { "left": "pull_request:44827", "right": "pull_request:46048", "accept": false, - "reason": "No shared bug or code path; one is Mistral4 test cleanup, the other adds a new loss kernel." + "reason": "Mistral4 fixes and TDT loss kernel integration are distinct changes." }, { "left": "pull_request:44827", "right": "pull_request:45213", "accept": false, - "reason": "The overlap is only superficial via auto/modeling files; the change sets are unrelated." + "reason": "A model test-fix PR is not a duplicate of the model-creation skill / scaffolding PR." }, { "left": "pull_request:43823", "right": "pull_request:45213", "accept": false, - "reason": "MobileLLM model addition and model-creation skill are different artifacts and not duplicates." + "reason": "MobileLLM model addition is unrelated to the new-model skill repository changes." }, { "left": "pull_request:44827", "right": "pull_request:45655", "accept": false, - "reason": "No shared concrete issue; only both touch core modeling code." + "reason": "Mistral4 test fixes are unrelated to the config-resolution ordering fix." }, { "left": "pull_request:43251", "right": "pull_request:43254", "accept": true, - "reason": "Both PRs patch the same `fixed_cross_entropy` function to pass supported `cross_entropy` kwargs (`weight` and `label_smoothing`) and both point to issue #43240; they are the same underlying fix." + "reason": "Both PRs fix the same `fixed_cross_entropy` helper to forward supported `cross_entropy` kwargs for the same issue; they are the same underlying code-path change and could plausibly be merged into one PR." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is well grounded in the packet: the only clearly supported duplicate-like pair is #43251/#43254, which share the same file and issue target and both patch `fixed_cross_entropy` to pass supported kwargs. The other pair verdicts are conservative and do not overclaim mergeability or shared bugfixes based on the available evidence." + "feedback": "The evaluation stays grounded in the packet and the conservative rejections are justified by the listed filenames, titles, and diff previews. The only accepted pair, pull_request:43251 with pull_request:43254, is plausibly mergeable into a single PR for the same `fixed_cross_entropy` kwargs-forwarding bugfix: both target `src/transformers/loss/loss_utils.py`, both cite issue 43240, and the diff differences are minor implementation-style variations rather than different fixes." }, "evaluator_used": true, "retried": false, @@ -20770,12 +20728,12 @@ "soft_pairs": [ "pull_request:42975|pull_request:42976" ], - "prepared_review_unit_hash": "5c414ff86b340de097fef0978d43ff56886bfc3f841d946c21b92f3212fbae5b", + "prepared_review_unit_hash": "3bd4c1e4eb52a9acc088c95ec8b8c21391af2f3c97cb5a4f0825207c987030ae", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5934, + "serialized_chars": 5935, "estimated_input_tokens": 1484, "estimated_eval_tokens": 3224 }, @@ -20783,7 +20741,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5934, + "serialized_chars": 5935, "estimated_input_tokens": 1484, "estimated_eval_tokens": 3224 }, @@ -20792,18 +20750,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two unrelated workflow-maintenance PRs: one upgrades several GitHub Actions for Node 24 compatibility, the other bumps docker/build-push-action to v6 in Docker image workflows. They overlap in some files but not in concrete change intent or code path.", - "confidence": 0.95, + "summary": "Two open PRs both bump GitHub Actions dependencies, but they are separate maintenance changes with different concrete targets: one focuses on Node 24 compatibility across many workflows, the other upgrades specific actions such as docker/build-push-action to latest versions. They overlap in some workflow files, but not in the underlying change.", + "confidence": 0.93, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR: PR 42975 is a broad Actions-version refresh for Node 24 compatibility, while PR 42976 is specifically about upgrading docker/build-push-action in image build workflows.", + "canonical_pr_reason": "PR 42975 is the better canonical representative because it has the broader, clearer goal (Node 24 compatibility) and touches more workflow action upgrades across the repo.", "best_issue_reason": null, - "best_pr_reason": "Neither PR is a duplicate of the other; if forced to pick a representative for the cluster, 42975 is the broader and more general workflow-upgrade PR, but the cluster should not be merged as duplicates.", + "best_pr_reason": "PR 42975 is the best overall PR candidate since it represents the larger, more general workflow-action compatibility update; PR 42976 is a narrower action-version bump centered on Docker build workflows.", "soft_edge_verdicts": [ { "left": "pull_request:42975", "right": "pull_request:42976", "accept": false, - "reason": "Same general area (GitHub Actions workflows) and overlapping files, but the concrete changes differ: 42975 updates checkout/cache/upload-artifact for Node 24 compatibility, while 42976 upgrades docker/build-push-action for Docker image builds. These are separate maintenance changes and would not plausibly be one PR." + "reason": "Do not merge: both update GitHub Actions, but they are not the same change. 42975 is a Node 24 compatibility sweep across many workflows, while 42976 specifically bumps docker/build-push-action and a few related actions. Shared workflow filenames alone are not enough to treat them as duplicates." } ] }, @@ -20849,106 +20807,106 @@ "pull_request:45490|pull_request:46705", "pull_request:46562|pull_request:46658" ], - "prepared_review_unit_hash": "93f41f95b990d9703bdf7d8f500984ad59e9c5d87ecbc45cf5cfb3209d144cf8", + "prepared_review_unit_hash": "b1fb82cba9da4f4dc175c8f3c0fe4c947433c3ddfbbf9d67eae60d7600774238", "component_budget": { "node_count": 7, "item_count": 7, "soft_pair_count": 12, - "serialized_chars": 24618, - "estimated_input_tokens": 6155, - "estimated_eval_tokens": 12566 + "serialized_chars": 24615, + "estimated_input_tokens": 6154, + "estimated_eval_tokens": 12564 }, "budget": { "node_count": 7, "item_count": 7, "soft_pair_count": 12, - "serialized_chars": 24618, - "estimated_input_tokens": 6155, - "estimated_eval_tokens": 12566 + "serialized_chars": 24615, + "estimated_input_tokens": 6154, + "estimated_eval_tokens": 12564 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are mostly unrelated model additions and one distributed-config infra change. The only superficially close pair is the Step3p7 Flash PRs, but they are not the same mergeable change: one is the actual library integration, the other is WIP demo/conversion scaffolding.", - "confidence": 0.92, + "summary": "This set is mostly unrelated model-addition PRs. The only borderline pair is the Step 3.7 Flash implementation versus the WIP mini-model/scripts PR, but that looks like supporting scaffolding rather than the same mergeable change.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR for a duplicate cluster: the items span different models/features. The closest candidate is 46562 because it is the substantive Step3p7 Flash integration, but it is still distinct from 46658.", + "canonical_pr_reason": "PR 46562 is the most substantive, user-facing model implementation in the set; the other PRs are separate model additions or auxiliary scaffolding, so it is the closest thing to an anchor if one must be chosen.", "best_issue_reason": null, - "best_pr_reason": "46562 is the strongest standalone PR in the set because it contains the real model implementation, docs, and tests; the nearby 46658 PR is mostly auxiliary WIP/build-demo machinery rather than the same code change.", + "best_pr_reason": "PR 46562 is the strongest representative artifact here: it contains the actual Step 3.7 Flash integration and tests, while the others are distinct model launches or non-core support work.", "soft_edge_verdicts": [ { "left": "pull_request:42978", "right": "pull_request:43448", "accept": false, - "reason": "Different models (ViT NEPA vs Molmo). Shared docs/auto-registry edits are generic model-addition boilerplate, not the same bug or change." + "reason": "Both are new model PRs with shared docs/auto-registry edits, but they add different model families (ViT NEPA vs Molmo) and do not target the same bug or change." }, { "left": "pull_request:42978", "right": "pull_request:43451", "accept": false, - "reason": "Different model additions (ViT NEPA vs Molmo2) with only generic registration/doc overlap." + "reason": "Different model families and unrelated implementations; the overlap is only in shared registry/docs files." }, { "left": "pull_request:42978", "right": "pull_request:45490", "accept": false, - "reason": "Unrelated architectures and tasks: vision model addition vs time-series model addition." + "reason": "Separate model additions in different domains; shared infrastructure edits do not make them the same change." }, { "left": "pull_request:42978", "right": "pull_request:46705", "accept": false, - "reason": "Model addition vs distributed-config infrastructure; no shared concrete code-path problem." + "reason": "ViT NEPA model addition and distributed-config work are unrelated." }, { "left": "pull_request:43448", "right": "pull_request:43451", "accept": false, - "reason": "Molmo and Molmo2 are related by name but are distinct model integrations with different files and behavior; not one mergeable duplicate." + "reason": "Molmo and Molmo2 are distinct model integrations, not the same underlying feature or bug fix." }, { "left": "pull_request:43448", "right": "pull_request:45490", "accept": false, - "reason": "Different model families (Molmo vs CTSM), only broad repo boilerplate overlaps." + "reason": "Different model families with only broad registry/docs overlap." }, { "left": "pull_request:43448", "right": "pull_request:46705", "accept": false, - "reason": "Model integration vs distributed-config infra; no same underlying change." + "reason": "Model addition versus distributed configuration work; no shared code-path problem." }, { "left": "pull_request:43451", "right": "pull_request:45490", "accept": false, - "reason": "Different model additions (Molmo2 vs CTSM) and different code paths." + "reason": "Molmo2 and CTSM are unrelated model additions despite touching common auto/model registration files." }, { "left": "pull_request:43451", "right": "pull_request:46705", "accept": false, - "reason": "Molmo2 model addition is unrelated to distributed configuration changes." + "reason": "Molmo2 model work and distributed config changes are not the same change." }, { "left": "pull_request:45490", "right": "pull_request:46562", "accept": false, - "reason": "CTSM and Step3p7 Flash are different model additions; shared auto-registry/doc edits are not duplicate evidence." + "reason": "CTSM and Step 3.7 Flash are separate model integrations; shared auto-registry edits are too broad to treat as duplicates." }, { "left": "pull_request:45490", "right": "pull_request:46705", "accept": false, - "reason": "CTSM model addition vs distributed-config infra; no duplicate relationship." + "reason": "CTSM model addition and distributed config support address different parts of the codebase." }, { "left": "pull_request:46562", "right": "pull_request:46658", "accept": false, - "reason": "Both reference Step3p7 Flash, but 46562 is the actual model integration while 46658 is WIP conversion/demo and mini-model scaffolding; they are not the same concrete change and would not be merged as one PR." + "reason": "They are related Step 3.7 Flash work, but 46562 is the actual model integration while 46658 is WIP mini-model/scripts scaffolding; not the same concrete mergeable change." } ] }, @@ -20997,118 +20955,118 @@ "pull_request:46380|pull_request:46539", "pull_request:46380|pull_request:46579" ], - "prepared_review_unit_hash": "030974bc26d78ec751b33967a4f00101f66612e913bd28675e5b19643be267e3", + "prepared_review_unit_hash": "2a8e603b235dd7cd5cb1b8c476ffe2d1f24124053430aa7e2371aacdb98d652b", "component_budget": { "node_count": 8, "item_count": 8, "soft_pair_count": 14, - "serialized_chars": 23163, - "estimated_input_tokens": 5791, - "estimated_eval_tokens": 11838 + "serialized_chars": 23165, + "estimated_input_tokens": 5792, + "estimated_eval_tokens": 11840 }, "budget": { "node_count": 8, "item_count": 8, "soft_pair_count": 14, - "serialized_chars": 23163, - "estimated_input_tokens": 5791, - "estimated_eval_tokens": 11838 + "serialized_chars": 23165, + "estimated_input_tokens": 5792, + "estimated_eval_tokens": 11840 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are mostly unrelated despite superficial soft-similarity signals. They span Whisper tokenization/tests, deprecated API aliasing, vision model tests, FP8 dequant/loading, generation watermarking validation, CI/integration-test plumbing, and typo/doc cleanup.", - "confidence": 0.97, + "summary": "This cluster is a mix of largely unrelated pull requests: Whisper test/tokenizer tweaks, a deprecation alias, intentionally broken test edits, an FP8 dequantization fix, doctest cleanup, generation validation changes, a CI workaround, and broad typo fixes. The only commonality is very loose topical overlap, not the same underlying bug/change, so none of the soft duplicate edges are strong enough to accept.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR is a true duplicate canonical here; the similarities are broad labels or overlapping test/model files, not the same underlying change.", + "canonical_pr_reason": "PR 44815 is the strongest single representative: it fixes a concrete FP8 dequantization/loading bug with coordinated code changes and tests. The others are mostly docs, CI, typo cleanup, or unrelated test/deprecation edits.", "best_issue_reason": null, - "best_pr_reason": "PR 46579 is the broadest and most representative code-maintenance sweep in the set, but it still should not be treated as a duplicate of the others.", + "best_pr_reason": "PR 44815 is the best canonical PR candidate because it addresses a specific code-path defect rather than incidental cleanup, and it is the most self-contained substantive fix in the set.", "soft_edge_verdicts": [ { "left": "pull_request:43291", "right": "pull_request:43665", "accept": false, - "reason": "Whisper tokenizer/test fix vs CLIP/ViT test edits; different models and different failure modes." + "reason": "Both touch tests, but one is Whisper tokenizer/test behavior and the other is unrelated CLIP/ViT test edits; not the same underlying bug or mergeable change." }, { "left": "pull_request:43291", "right": "pull_request:44815", "accept": false, - "reason": "Whisper timestamp decoding work vs FP8 dequant/model-loading changes; unrelated code paths." + "reason": "Whisper decode/tokenization work is unrelated to the FP8 dequantization/load-path fix; different subsystem and bug." }, { "left": "pull_request:43291", "right": "pull_request:46380", "accept": false, - "reason": "Whisper decoding changes vs generation watermarking validation fix; different subsystems and bugs." + "reason": "Whisper test/tokenizer changes do not match the generation watermarking validation/CI fixes in the other PR." }, { "left": "pull_request:43498", "right": "pull_request:46579", "accept": false, - "reason": "Backward-compat alias for tie_weights is a specific API change, while 46579 is a broad typo cleanup sweep." + "reason": "A backward-compatibility alias for tie_weights is unrelated to broad typo cleanup across many files." }, { "left": "pull_request:43665", "right": "pull_request:46539", "accept": false, - "reason": "Placeholder test edits for CLIP/ViT vs Phimoe integration-test CI plumbing; not the same underlying issue." + "reason": "Broken CLIP/ViT test edits are unrelated to the Phimoe CI integration-test workaround." }, { "left": "pull_request:43665", "right": "pull_request:44815", "accept": false, - "reason": "Model test tweaks vs dequantization/loading fix; only superficial testing/modeling overlap." + "reason": "One is test-only noise in CLIP/ViT; the other fixes a concrete FP8 dequantization path. Different changes, not duplicative." }, { "left": "pull_request:43665", "right": "pull_request:46380", "accept": false, - "reason": "Unrelated test-file edits vs generation config validation bugfix." + "reason": "CLIP/ViT test edits are unrelated to generation watermarking validation and Whisper/model-test fixes." }, { "left": "pull_request:43665", "right": "pull_request:46579", "accept": false, - "reason": "Test-only placeholder changes are not the same as a repo-wide typo/documentation cleanup." + "reason": "Intentional failing test edits are not the same as broad typo fixes in code." }, { "left": "pull_request:44815", "right": "pull_request:46539", "accept": false, - "reason": "FP8 dequant/model-loading logic vs Phimoe CI/test infrastructure; different bug categories." + "reason": "FP8 dequantization/model-loading changes are unrelated to the Phimoe CI memory/device-map workaround." }, { "left": "pull_request:44815", "right": "pull_request:46380", "accept": false, - "reason": "FP8 quantization/dequantization fix vs watermarking_config validation fix; unrelated paths." + "reason": "These touch different code paths: FP8 dequantization vs generation validation and unrelated model test fixes." }, { "left": "pull_request:44815", "right": "pull_request:46579", "accept": false, - "reason": "Shared filenames do not make these the same change; one is FP8 correctness, the other is typo cleanup." + "reason": "Shared files are incidental; 44815 is a functional dequant fix while 46579 is broad typo cleanup across many modules." }, { "left": "pull_request:45114", "right": "pull_request:46579", "accept": false, - "reason": "Doctest/documentation adjustments vs typo cleanup across code; not the same underlying fix." + "reason": "Doctest/doc formatting cleanup is not the same change as code typo fixes across implementation files." }, { "left": "pull_request:46380", "right": "pull_request:46539", "accept": false, - "reason": "Generation watermarking validation fix vs Phimoe integration-test CI workaround; unrelated problems." + "reason": "Generation validation/Whisper fixes are unrelated to CI runner memory limiting for Phimoe integration tests." }, { "left": "pull_request:46380", "right": "pull_request:46579", "accept": false, - "reason": "Generation config correctness fix vs code typo sweep; only broad repository overlap." + "reason": "The overlap in generation files is superficial; 46380 fixes a runtime validation bug while 46579 is typo cleanup, so they should not be merged as one PR." } ] }, @@ -21141,12 +21099,12 @@ "pull_request:43488|pull_request:43532", "pull_request:43532|pull_request:46747" ], - "prepared_review_unit_hash": "1d7d4a379ae9f2feaed9b112e7810082941b04b7fc186706414ea991cba36b6a", + "prepared_review_unit_hash": "a259b219f05a87e91ef4774ec05b57d1a0442d7298713067c00e1147513d315a", "component_budget": { "node_count": 3, "item_count": 3, "soft_pair_count": 3, - "serialized_chars": 6349, + "serialized_chars": 6350, "estimated_input_tokens": 1588, "estimated_eval_tokens": 3432 }, @@ -21154,7 +21112,7 @@ "node_count": 3, "item_count": 3, "soft_pair_count": 3, - "serialized_chars": 6349, + "serialized_chars": 6350, "estimated_input_tokens": 1588, "estimated_eval_tokens": 3432 }, @@ -21163,30 +21121,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "All three pull requests are \"don't merge\" repository-test / workflow-demo changes, but they target different code paths and should not be clustered as duplicates.", - "confidence": 0.88, + "summary": "These are three unrelated \"don't merge\" PRs touching different code paths: setup/versioning and a test file, PR-comment/CI workflow plumbing, and the PR security-gate workflow. They are not the same underlying change, so the soft links should not be merged.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "No PR is a true duplicate canonical for the others; if one representative must be chosen, #43532 is the broadest test/demo change and touches the most files, but it is still not the same change as the other two.", + "canonical_pr_reason": "pull_request:43532 is the best cluster representative because it has the richest discussion, the broadest file footprint, and the most explicit change surface among the three, even though it is not a true duplicate of the others.", "best_issue_reason": null, - "best_pr_reason": "#43532 is the best representative of the cluster because it has the widest scope and clearest multi-file test/workflow demo intent, whereas #43488 and #46747 are narrower and unrelated changes.", + "best_pr_reason": "pull_request:43532 is the most informative single PR to keep as the representative record for this cluster due to its larger diff and more associated activity.", "soft_edge_verdicts": [ { "left": "pull_request:43488", - "right": "pull_request:43532", + "right": "pull_request:46747", "accept": false, - "reason": "Both are repo-test PRs, but #43488 changes packaging/version/dependency setup while #43532 changes CI workflows and testing utilities; they do not fix the same underlying bug or implement the same change." + "reason": "One edits setup.py/dependency metadata and a Vit test; the other changes the PR security-gate workflow trigger. Different subsystems and different underlying changes." }, { "left": "pull_request:43488", - "right": "pull_request:46747", + "right": "pull_request:43532", "accept": false, - "reason": "#43488 is about setup/version/dependency edits and a Vit test; #46747 is a security-gate workflow trigger change. Different concrete code paths and unrelated goals." + "reason": "The overlap is only a shared Vit test filename; the diffs otherwise target setup/dependency/versioning versus CI/comment workflow logic. Not the same bug or fix." }, { "left": "pull_request:43532", "right": "pull_request:46747", "accept": false, - "reason": "#43532 is a broad CI/comment/diff-display test change, while #46747 only changes the PR security-gate workflow trigger. Similar repo area, but not the same change." + "reason": "Both touch workflows, but one is about self-comment CI and test/support utilities while the other is only changing the security-gate trigger. Too broad to treat as one concrete change." } ] }, @@ -21216,12 +21174,12 @@ "soft_pairs": [ "pull_request:43612|pull_request:43613" ], - "prepared_review_unit_hash": "d3fa093c7bba168ea55642382bda5d15f934c7cc19cc9bb8b9c51bda372b0720", + "prepared_review_unit_hash": "8152989c18e9b38f1102f065b5ede84021ce840e945e0848a8a6e9767eb00038", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6083, + "serialized_chars": 6082, "estimated_input_tokens": 1521, "estimated_eval_tokens": 3298 }, @@ -21229,7 +21187,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6083, + "serialized_chars": 6082, "estimated_input_tokens": 1521, "estimated_eval_tokens": 3298 }, @@ -21238,18 +21196,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related but distinct PRs for two different segmentation pipelines; they share scaffolding and docs patterns, but they target different features and code paths.", - "confidence": 0.9, + "summary": "These are related PRs in the same area of the docs/pipeline infrastructure, but they implement different features: one adds a Promptable Concept Segmentation pipeline, the other adds a Promptable Visual Segmentation pipeline. Shared scaffolding alone is not enough to treat them as duplicates.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #43613 is the broader anchor: it adds the Promptable Visual Segmentation pipeline with more model integrations and test coverage, so it is the more representative PR for the shared segmentation-pipeline work.", + "canonical_pr_reason": "PR #43613 is the broader, more multi-model implementation for promptable visual segmentation, so it is the better representative if one must be chosen; however, it is still distinct from #43612 rather than a duplicate.", "best_issue_reason": null, - "best_pr_reason": "PR #43613 is the best representative PR in this cluster because it covers the wider visual-segmentation variant and includes the most complete integration surface; #43612 is a separate concept-segmentation feature.", + "best_pr_reason": "PR #43613 is the stronger standalone representative because it covers the visual-segmentation pipeline plus several related model/test updates, making it more complete than the concept-segmentation PR.", "soft_edge_verdicts": [ { "left": "pull_request:43612", "right": "pull_request:43613", "accept": false, - "reason": "Do not merge: despite similar scaffolding and overlapping docs/registration files, these implement different pipelines ('Promptable Concept Segmentation' vs 'Promptable Visual Segmentation') with different model backends and are not the same concrete change." + "reason": "Different underlying features and code paths: concept segmentation vs visual segmentation. They share documentation and pipeline registration scaffolding, but the changed models/tests and pipeline modules are for different tasks, so they should not be merged as duplicates." } ] }, @@ -21279,7 +21237,7 @@ "soft_pairs": [ "pull_request:43651|pull_request:43663" ], - "prepared_review_unit_hash": "d4aff849cfde022c8547f04e477b3f54f8c8c71a7e69315f1d42db5bfde6bea2", + "prepared_review_unit_hash": "5d3d8ef3407102ecb4b6ee9c39ed7428b4a006469ba2a6da52f5acc0cc469772", "component_budget": { "node_count": 2, "item_count": 2, @@ -21301,18 +21259,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two open PRs touch `src/transformers/trainer.py`, but they address different trainer extension points: gradient-accumulation loss scaling vs. signature-column filtering for custom/PEFT models. Same subsystem, not the same underlying change.", - "confidence": 0.98, + "summary": "These are two unrelated open PRs in `trainer.py`: one changes gradient-accumulation loss scaling, the other refactors signature-column filtering for PEFT/custom trainers. They share a file and subsystem, but not the same underlying bug or change.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: PR #43651 changes how loss is scaled during training, while PR #43663 refactors how allowed input columns are derived from the model signature. They are distinct fixes/enhancements.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "If one PR must represent the cluster, #43651 is the more self-contained behavior change with a concrete training-path impact; #43663 is a separate refactor of data-column filtering.", + "best_pr_reason": "No PR is a good cluster representative here: the patches address different trainer code paths and should be triaged separately rather than merged as duplicates.", "soft_edge_verdicts": [ { "left": "pull_request:43651", "right": "pull_request:43663", "accept": false, - "reason": "Reject: both modify `trainer.py`, but one is about loss scaling in `training_step` and the other about signature-column inspection for filtering inputs. Different code paths and different intended fixes, so they are not the same underlying change." + "reason": "Different functionality and failure modes: 43651 changes training loss scaling during gradient accumulation, while 43663 adds an overrideable helper for input-signature column filtering. Shared file/subsystem alone is not enough to treat them as the same change." } ] }, @@ -21342,7 +21300,7 @@ "soft_pairs": [ "pull_request:43656|pull_request:43842" ], - "prepared_review_unit_hash": "afd9de36568919b974a88e4fbfffd40184ad95bd63d00a344a91fa4228b56ae0", + "prepared_review_unit_hash": "844ba7377cab6c4ceb325aab0a83e87c4065170e985d113b3bf1e91ae5d1a06a", "component_budget": { "node_count": 2, "item_count": 2, @@ -21364,18 +21322,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two open PRs in the same CLI file address similar TypeAdapter-related errors, but they appear to fix different NameError paths and target different issues, so they should stay separate.", - "confidence": 0.86, + "summary": "Both PRs touch `src/transformers/cli/serve.py` and mention `TypeAdapter`, but they fix different NameError scenarios: one is about missing future-annotation behavior / type-hint evaluation, the other is about guarding `TypeAdapter` imports when `pydantic` is absent. They are related but not duplicates.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 43842 is the more precise and minimal fix: it directly handles the pydantic/TypeAdapter import being absent at runtime while keeping typing support via TYPE_CHECKING.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "PR 43842 is the strongest representative of the cluster because its symptom, cause, and patch are tightly aligned and narrowly scoped.", + "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "pull_request:43656", "right": "pull_request:43842", "accept": false, - "reason": "Both touch src/transformers/cli/serve.py and mention TypeAdapter, but 43656 appears to address a broader annotation/NameError cleanup while 43842 specifically fixes the pydantic-not-installed path; they are not clearly the same concrete bug and would not be merged as one PR." + "reason": "Same file and similar symptom, but different root causes and fixes: PR 43656 changes annotation handling with `from __future__ import annotations`, while PR 43842 makes `TypeAdapter` a TYPE_CHECKING-only import and stringizes a parameter to avoid importing pydantic at runtime. They would not plausibly be merged as one PR." } ] }, @@ -21567,349 +21525,397 @@ "pull_request:44044|pull_request:44129", "pull_request:44044|pull_request:44154" ], - "prepared_review_unit_hash": "7635f1e123083d012a7bf870b376c2fe23f6431c954e8cca9f47ba8c18f9686f", + "prepared_review_unit_hash": "ce2bb5c9c4af74a62b01f0e826b84330b6992cedca077c5f30c4793b8c6f15b0", "component_budget": { "node_count": 28, "item_count": 28, "soft_pair_count": 78, - "serialized_chars": 84896, - "estimated_input_tokens": 21224, - "estimated_eval_tokens": 42704 + "serialized_chars": 84902, + "estimated_input_tokens": 21226, + "estimated_eval_tokens": 42708 }, "budget": { "node_count": 27, "item_count": 27, "soft_pair_count": 72, - "serialized_chars": 75092, - "estimated_input_tokens": 18773, - "estimated_eval_tokens": 37802 + "serialized_chars": 75098, + "estimated_input_tokens": 18775, + "estimated_eval_tokens": 37806 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a loose collection of model-specific output-tracing refactors. The only strong duplicate subgroup is GPT-Neo (44018/44068) and GPTJ/CodeGen (44066/44722). PR 44085 shares the GPTJ file and #43979 target, but the packet does not establish it as the same change as 44066, so that edge should be rejected.", - "confidence": 0.84, + "summary": "This cluster is mostly a set of independent, model-specific refactors to standardized output tracing. The only clear duplicate-like overlaps are within the GPT-J/CodeGen and GPT-Neo repeats; most cross-model pairings share only the same theme or issue target, not the same concrete code path.", + "confidence": 0.81, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #44722 is the clearest representative of the actual GPTJ/CodeGen duplicate subgroup: it targets the same #43979 refactor, touches the same GPTJ and CodeGen files, and appears to be the most complete/latest version of that concrete change.", + "canonical_pr_reason": "PR 44722 is the best anchor: it is the latest, most complete GPT-J/CodeGen output-tracing refactor, explicitly targets the shared issue, and covers the same concrete files as its closest duplicate variants.", "best_issue_reason": null, - "best_pr_reason": "PR #44722 is the best overall representative of the accepted duplicate subgroup because it captures the full GPTJ/CodeGen standardized-output refactor and is the strongest anchor for triage.", + "best_pr_reason": "44722 is the clearest representative of the cluster\u2019s repeated GPT-J/CodeGen change, making it the most suitable PR to keep as the cluster\u2019s canonical example.", "soft_edge_verdicts": [ { "left": "pull_request:43996", "right": "pull_request:44085", "accept": false, - "reason": "Same output-tracing theme, but different model/file scope and no evidence of the same patch." + "reason": "Different model families and code paths; same issue target/theme is not enough." }, { "left": "pull_request:43996", "right": "pull_request:44044", "accept": false, - "reason": "Different model implementations; shared standardized-tracing theme only." + "reason": "Different model families and code paths; both are output-tracing refactors, but not the same change." }, { "left": "pull_request:44066", "right": "pull_request:44085", - "accept": false, - "reason": "Same GPTJ file and #43979 target, but 44066 also changes CodeGen and the packet does not show 44085 as the same rewrite." + "accept": true, + "reason": "Same GPT-J output-tracing refactor in the same concrete file path; one looks like a narrower variant of the other." }, { "left": "pull_request:44007", "right": "pull_request:44072", "accept": false, - "reason": "Different model files and code paths; only the general output-tracing refactor theme overlaps." + "reason": "Different model implementations; only the refactor theme matches." }, { "left": "pull_request:44072", "right": "pull_request:44722", "accept": false, - "reason": "Different model files; same refactor theme only." + "reason": "Different model code paths; shared issue target is too broad to treat as duplicate." }, { "left": "pull_request:44066", "right": "pull_request:44072", "accept": false, - "reason": "Different model code paths; same output-tracing initiative, not the same change." + "reason": "Different models and different concrete layers; not the same bug or change." }, { "left": "pull_request:44013", "right": "pull_request:44044", "accept": false, - "reason": "Different model implementations; only the shared tracing refactor pattern overlaps." + "reason": "Different model families and implementation paths." }, { "left": "pull_request:44066", "right": "pull_request:44086", "accept": false, - "reason": "Different model files and code paths; not the same concrete refactor." + "reason": "Different model code paths; same refactor style only." }, { "left": "pull_request:44066", "right": "pull_request:44071", "accept": false, - "reason": "Different model files; same broad decorator-based tracing theme only." + "reason": "Different model families and code paths." }, { "left": "pull_request:44018", "right": "pull_request:44068", "accept": true, - "reason": "Same GPT-Neo file and the same output-tracing rewrite; 44068 looks like the later direct rewrite of 44018." + "reason": "Both are GPT-Neo output-tracing refactors touching the same concrete model code path; this looks like a duplicate/superset variant." }, { "left": "pull_request:44066", "right": "pull_request:44068", "accept": false, - "reason": "Different model files; both are output-tracing refactors, but not the same one." + "reason": "Different model families; similar decorator migration only." }, { "left": "pull_request:44018", "right": "pull_request:44066", "accept": false, - "reason": "Different model families and files; same broad output-tracing pattern only." + "reason": "GPT-Neo vs GPT-J; same issue target does not make them duplicates." }, { "left": "pull_request:44019", "right": "pull_request:44722", "accept": false, - "reason": "Different model files and code paths; not the same underlying change." + "reason": "ResNet-only refactor versus GPT-J/CodeGen; not the same code path." }, { "left": "pull_request:44086", "right": "pull_request:44722", "accept": false, - "reason": "Different model files; shared output-tracing theme only." + "reason": "Different model code paths; both are output-tracing refactors only at a high level." }, { "left": "pull_request:44019", "right": "pull_request:44085", "accept": false, - "reason": "Different model files and code paths; same refactor motif only." + "reason": "ResNet and GPT-J are unrelated implementation paths." }, { "left": "pull_request:44018", "right": "pull_request:44019", "accept": false, - "reason": "Different model implementations; only the output-capture refactor pattern is shared." + "reason": "Different models and different concrete changes." }, { "left": "pull_request:44019", "right": "pull_request:44071", "accept": false, - "reason": "Different models/files; same broad tracing refactor theme only." + "reason": "ResNet versus MPT; only the refactor pattern matches." }, { "left": "pull_request:44068", "right": "pull_request:44722", "accept": false, - "reason": "GPT-Neo versus GPTJ/CodeGen; same framework change, different concrete code path." + "reason": "GPT-Neo and GPT-J/CodeGen are different model paths; not duplicate code changes." }, { "left": "pull_request:44068", "right": "pull_request:44116", "accept": false, - "reason": "Different model files and code paths; not the same fix." + "reason": "GPT-Neo versus Flaubert; unrelated concrete changes." }, { "left": "pull_request:44018", "right": "pull_request:44116", "accept": false, - "reason": "Different model files; same output-tracing theme only." + "reason": "GPT-Neo versus Flaubert; same umbrella theme only." }, { "left": "pull_request:44071", "right": "pull_request:44722", "accept": false, - "reason": "Different model files and code paths; not a duplicate." + "reason": "MPT versus GPT-J/CodeGen; different code paths." }, { - "left": "pull_request:44085", + "left": "pull_request:44018", + "right": "pull_request:44085", + "accept": false, + "reason": "GPT-Neo versus GPT-J; same issue target is too broad to merge." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44086", + "accept": false, + "reason": "Different model families and code paths." + }, + { + "left": "pull_request:44068", "right": "pull_request:44086", "accept": false, - "reason": "Different model implementations; only the decorator-style refactor theme matches." + "reason": "GPT-Neo versus MGP-STR; not the same underlying change." }, { "left": "pull_request:44059", "right": "pull_request:44086", "accept": false, - "reason": "Different model files and code paths; same broad refactor motif only." + "reason": "GPT-2 versus MGP-STR; same tracing theme only." }, { "left": "pull_request:44098", "right": "pull_request:44101", "accept": false, - "reason": "Different model implementations; same output-handling theme only." + "reason": "ViLT versus Flaubert/XLM; unrelated code paths." }, { "left": "pull_request:44018", "right": "pull_request:44071", "accept": false, - "reason": "Different model files; same output-tracing initiative only." + "reason": "GPT-Neo versus MPT; no shared concrete bug or implementation." }, { "left": "pull_request:44059", "right": "pull_request:44722", "accept": false, - "reason": "Different model families and files; not the same concrete change." + "reason": "GPT-2 versus GPT-J/CodeGen; not the same change." }, { "left": "pull_request:44017", "right": "pull_request:44161", "accept": false, - "reason": "Different model files and code paths; not the same refactor." + "reason": "Segformer and LongT5 are different models; only the refactor style overlaps." }, { "left": "pull_request:44017", "right": "pull_request:44722", "accept": false, - "reason": "Different model files; same standardized-output theme only." + "reason": "Segformer versus GPT-J/CodeGen; broad theme match only." }, { "left": "pull_request:44017", "right": "pull_request:44073", "accept": false, - "reason": "Different model files and code paths; only the general tracing refactor overlaps." + "reason": "Segformer versus VisualBert; different concrete implementations." }, { "left": "pull_request:44068", "right": "pull_request:44071", "accept": false, - "reason": "Different model implementations; not the same underlying change." + "reason": "GPT-Neo versus MPT; not the same code path." }, { "left": "pull_request:43997", "right": "pull_request:44073", "accept": false, - "reason": "Different model files and code paths; same broad refactor theme only." + "reason": "RegNet versus VisualBert; same output-tracing migration only." }, { "left": "pull_request:44071", - "right": "pull_request:44086", + "right": "pull_request:44076", "accept": false, - "reason": "Different model files and code paths; not a duplicate." + "reason": "MPT versus ImageGPT; different concrete model code." }, { - "left": "pull_request:44073", + "left": "pull_request:44056", "right": "pull_request:44101", "accept": false, - "reason": "Different model implementations; same output-tracing pattern only." + "reason": "MPNet versus Flaubert/XLM; no duplicate bug or change." }, { - "left": "pull_request:44073", - "right": "pull_request:44161", + "left": "pull_request:43997", + "right": "pull_request:44017", "accept": false, - "reason": "Different model files and code paths; not the same change." + "reason": "RegNet versus Segformer; same general refactor pattern only." }, { - "left": "pull_request:44059", - "right": "pull_request:44071", + "left": "pull_request:43997", + "right": "pull_request:44056", "accept": false, - "reason": "Different model files; same tracing-refactor theme only." + "reason": "RegNet versus MPNet; different model code paths." }, { - "left": "pull_request:44056", + "left": "pull_request:44071", + "right": "pull_request:44076", + "accept": false, + "reason": "MPT versus ImageGPT; unrelated concrete changes." + }, + { + "left": "pull_request:44074", "right": "pull_request:44101", "accept": false, - "reason": "Different model files and code paths; not the same fix." + "reason": "TextNet versus Flaubert/XLM; not the same underlying patch." }, { - "left": "pull_request:43997", - "right": "pull_request:44018", + "left": "pull_request:44056", + "right": "pull_request:44161", "accept": false, - "reason": "Different model files; shared issue-style refactor theme only." + "reason": "MPNet versus LongT5; same refactor theme only." }, { "left": "pull_request:43997", - "right": "pull_request:44056", + "right": "pull_request:44018", "accept": false, - "reason": "Different model implementations; only the standardized-refactor theme overlaps." + "reason": "RegNet versus GPT-Neo; unrelated code paths." }, { - "left": "pull_request:44071", - "right": "pull_request:44076", + "left": "pull_request:43997", + "right": "pull_request:44161", "accept": false, - "reason": "Different model files and code paths; not a duplicate." + "reason": "RegNet versus LongT5; different concrete changes." }, { "left": "pull_request:44074", - "right": "pull_request:44101", + "right": "pull_request:44161", "accept": false, - "reason": "Different model files and code paths; same broad output-handling theme only." + "reason": "TextNet versus LongT5; not the same bug or patch." }, { - "left": "pull_request:44056", + "left": "pull_request:44018", "right": "pull_request:44161", "accept": false, - "reason": "Different model files; same refactor motif only." + "reason": "GPT-Neo versus LongT5; only the output-tracing theme matches." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44071", + "accept": false, + "reason": "RegNet versus MPT; different model implementations." }, { "left": "pull_request:44010", "right": "pull_request:44071", "accept": false, - "reason": "Different model files and code paths; not the same change." + "reason": "SqueezeBert versus MPT; unrelated concrete change." }, { "left": "pull_request:44010", "right": "pull_request:44073", "accept": false, - "reason": "Different model files; same output-tracing theme only." + "reason": "SqueezeBert versus VisualBert; same decorator migration only." }, { - "left": "pull_request:44018", + "left": "pull_request:44010", + "right": "pull_request:44018", + "accept": false, + "reason": "SqueezeBert versus GPT-Neo; different code paths." + }, + { + "left": "pull_request:44071", "right": "pull_request:44129", "accept": false, - "reason": "Different model files and code paths; not a duplicate." + "reason": "MPT versus SpeechT5; not the same underlying change." }, { "left": "pull_request:43997", "right": "pull_request:44074", "accept": false, - "reason": "Different model implementations; only the standardized-refactor theme matches." + "reason": "RegNet versus TextNet; broad refactor similarity only." }, { "left": "pull_request:44010", - "right": "pull_request:44018", + "right": "pull_request:44044", "accept": false, - "reason": "Different model files and code paths; not the same underlying change." + "reason": "SqueezeBert versus DeBERTa-v2; different model code." }, { - "left": "pull_request:44071", + "left": "pull_request:44044", + "right": "pull_request:44074", + "accept": false, + "reason": "DeBERTa-v2 versus TextNet; not the same concrete fix." + }, + { + "left": "pull_request:44066", + "right": "pull_request:44722", + "accept": true, + "reason": "Same GPT-J/CodeGen output-tracing refactor in the same concrete files; 44722 looks like a later, more complete variant." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44722", + "accept": true, + "reason": "Both target the same GPT-J output-tracing change; one is a narrower/superset variant of the same patch." + }, + { + "left": "pull_request:44085", "right": "pull_request:44129", "accept": false, - "reason": "Different model files and code paths; same broad output-capture theme only." + "reason": "GPT-J versus SpeechT5; unrelated code paths." }, { - "left": "pull_request:44010", - "right": "pull_request:44044", + "left": "pull_request:43996", + "right": "pull_request:44007", "accept": false, - "reason": "Different model implementations; not a duplicate." + "reason": "CVT/FNet versus RegNet/ResNet; same issue target but not the same concrete change." }, { - "left": "pull_request:44044", - "right": "pull_request:44074", + "left": "pull_request:43996", + "right": "pull_request:44129", "accept": false, - "reason": "Different model files and code paths; same generic output-handling pattern only." + "reason": "CVT/FNet versus SpeechT5; different model changes." }, { "left": "pull_request:44044", "right": "pull_request:44129", "accept": false, - "reason": "Different model files and code paths; not the same fix." + "reason": "DeBERTa-v2 versus SpeechT5; not the same code path." }, { "left": "pull_request:44044", "right": "pull_request:44154", "accept": false, - "reason": "Different model implementations; only the output-tracing theme overlaps." + "reason": "DeBERTa-v2 versus ViTS; same tracing refactor theme only." } ] }, "evaluator_result": { - "accept": false, - "feedback": "The summary is mostly grounded, but one soft-edge verdict is too strong: treating PRs 44066 and 44085 as the same change is not supported by the packet. They share the GPT-J file and issue target, but 44066 also includes CodeGen and the packet does not establish that 44085 is a rebased/re-titled version of it. Also, some rejection reasons are a bit overstated (for example, 44066 vs 44085 are not different model families/files). Keep the duplicate claims more conservative." + "accept": true, + "feedback": "The summary is well grounded in the packet: the cluster is mostly model-specific output-tracing refactors, and the only clear duplicate-like overlaps are the GPT-J/CodeGen and GPT-Neo variants. The accepted soft pairs are conservative and look mergeable as single bugfix PRs, with shared concrete files and/or the same issue target." }, "evaluator_used": true, - "retried": true, + "retried": false, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -21944,14 +21950,14 @@ "pull_request:43997|pull_request:44010", "pull_request:44010|pull_request:44129" ], - "prepared_review_unit_hash": "12160d94c66ba86430a6188d3427432c12ce0f33b4853c8e225c7e0b5963947d", + "prepared_review_unit_hash": "b58a4904b83684ff4ba68a4c45ccc36f6732a66e94651fa02add43b24d993c55", "component_budget": { "node_count": 28, "item_count": 28, "soft_pair_count": 78, - "serialized_chars": 84896, - "estimated_input_tokens": 21224, - "estimated_eval_tokens": 42704 + "serialized_chars": 84902, + "estimated_input_tokens": 21226, + "estimated_eval_tokens": 42708 }, "budget": { "node_count": 8, @@ -21966,48 +21972,48 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a set of model-specific PRs migrating different Transformers models to the new standardized output-capture / tracing machinery. They share a theme, but each changes a different model implementation, so they are not duplicates of one another.", + "summary": "These PRs are all model-specific migrations to the standardized output-capture/tracing machinery, but they touch different architectures and code paths. They are related refactors, not duplicates that should be merged together.", "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 44056 is a strong canonical representative because it clearly introduces the capture_outputs pattern plus the model\u2019s _can_record_outputs mapping, which is the common refactor pattern seen across the cluster.", + "canonical_pr_reason": "PR 44129 is the best representative because it has an explicit issue target and shows a concrete end-to-end output-tracing refactor in one model, making it the clearest canonical example of this refactor pattern.", "best_issue_reason": null, - "best_pr_reason": "PR 44056 is the best single representative of the cluster because it most clearly expresses the shared change class: migrating a model to standardized output tracing via capture_outputs and per-layer output recording hooks.", + "best_pr_reason": "PR 44129 is the strongest standalone representative: it is tied to an explicit tracking issue and implements the standardized output capture change in a concrete, reviewable way.", "soft_edge_verdicts": [ { "left": "pull_request:44024", "right": "pull_request:44076", "accept": false, - "reason": "Both are the same broad refactor pattern, but they target different models (FocalNet vs ImageGPT) and different code paths, so they are not the same underlying change." + "reason": "Both are output-tracing migrations, but they change different model implementations (FocalNet vs ImageGPT). Same theme, not the same bug or mergeable change." }, { "left": "pull_request:44073", "right": "pull_request:44074", "accept": false, - "reason": "VisualBert and TextNet are separate model implementations; these are parallel output-tracing refactors, not one mergeable bug fix." + "reason": "VisualBert and TextNet are separate architectures with separate forward/output paths; this is a shared refactor pattern, not a duplicate fix." }, { "left": "pull_request:44056", "right": "pull_request:44073", "accept": false, - "reason": "Both migrate output tracing, but MPNet and VisualBert have distinct model code and hooks, so they do not look like the same concrete change." + "reason": "MPNet and VisualBert are unrelated model code paths. They use similar capture_outputs refactoring, but they are distinct PRs." }, { "left": "pull_request:44056", "right": "pull_request:44074", "accept": false, - "reason": "These are model-specific refactors for different architectures (MPNet vs TextNet), not the same underlying bug or code-path change." + "reason": "These touch different models and different output-tracing implementations, so they should not be merged as duplicates." }, { "left": "pull_request:43997", "right": "pull_request:44010", "accept": false, - "reason": "RegNet and SqueezeBert are unrelated model implementations; the PRs share only the generalized output-capture theme." + "reason": "RegNet and SqueezeBert are separate model-specific refactors; the similarity is only the standardized output decorator migration." }, { "left": "pull_request:44010", "right": "pull_request:44129", "accept": false, - "reason": "Both touch output collection in different models, but SqueezeBert and SpeechT5 have different forward paths and fixes, so they should not be merged as duplicates." + "reason": "SqueezeBert and SpeechT5 are different code paths and model families. They share the same refactor theme but not the same concrete change." } ] }, @@ -22087,12 +22093,12 @@ "pull_request:44028|pull_request:44030", "pull_request:44029|pull_request:44030" ], - "prepared_review_unit_hash": "b2bc39db0f139378c858503ad0e91fc3db3d7c59a77ca640d24cc78ca1d2910b", + "prepared_review_unit_hash": "cbffa27cd651cd9d0f595c1b9b59184589fa2ffcdcb05f6f881099e7f2a60bb1", "component_budget": { "node_count": 13, "item_count": 13, "soft_pair_count": 40, - "serialized_chars": 40169, + "serialized_chars": 40172, "estimated_input_tokens": 10043, "estimated_eval_tokens": 20342 }, @@ -22100,7 +22106,7 @@ "node_count": 13, "item_count": 13, "soft_pair_count": 40, - "serialized_chars": 40169, + "serialized_chars": 40172, "estimated_input_tokens": 10043, "estimated_eval_tokens": 20342 }, @@ -22109,252 +22115,234 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are model-specific output-tracing refactors across different architectures, not duplicate fixes. They share a common theme (adding can_return_tuple / output capture plumbing) but target distinct code paths and should not be merged together.", + "summary": "These PRs all share a similar \"output tracing\" refactor theme, but they target different model implementations and code paths. They are not duplicate fixes and should not be merged together.", "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 44003 is the most representative of the shared refactor pattern: it spans both mamba and falcon_mamba and introduces the output-capture plumbing centrally, rather than just adjusting one model wrapper.", + "canonical_pr_reason": "No PR is a true duplicate of the others. If one representative is needed, PR 44003 is the broadest example because it spans two related mamba files and best reflects the shared refactor pattern.", "best_issue_reason": null, - "best_pr_reason": "PR 44003 best captures the cluster\u2019s underlying change style and has the broadest concrete scope among the PRs shown, so it is the strongest representative PR.", + "best_pr_reason": "PR 44003 is the most representative of the cluster\u2019s theme, but it is still a model-specific refactor rather than a duplicate change.", "soft_edge_verdicts": [ { "left": "pull_request:43998", "right": "pull_request:44002", "accept": false, - "reason": "Same refactor theme, but different model families and forward paths; not the same underlying change." + "reason": "Different model implementations (timm_backbone vs upernet); same refactor style, but not the same underlying change or code path." }, { "left": "pull_request:43998", "right": "pull_request:44000", "accept": false, - "reason": "Both are output-tracing refactors, but they touch different models and code paths." + "reason": "Different models with separate forward signatures and output-handling logic; too broad to treat as one duplicate PR." }, { "left": "pull_request:43998", "right": "pull_request:44001", "accept": false, - "reason": "Different architectures; this is only a similar can_return_tuple-style refactor." + "reason": "Unrelated model code paths; both mention output tracing, but they are independent refactors." }, { "left": "pull_request:43998", "right": "pull_request:44003", "accept": false, - "reason": "Different model families and different concrete tracing logic; not mergeable as one PR." + "reason": "Different architectures and files; the shared theme is only generic refactoring of output tracing." }, { "left": "pull_request:43998", "right": "pull_request:44029", "accept": false, - "reason": "Same general refactor motif, but unrelated model implementations." + "reason": "timm_backbone and rwkv are unrelated implementations; no same concrete bug or change." }, { "left": "pull_request:43999", "right": "pull_request:44001", "accept": false, - "reason": "Distinct models with separate forward implementations; only the refactor pattern is shared." + "reason": "MobileNetV1 and UnivNet are different model families with different output plumbing." }, { "left": "pull_request:43999", "right": "pull_request:44002", "accept": false, - "reason": "Same output-tracing theme, but not the same bug or code path." + "reason": "No shared concrete code path; only similar modernization of forward/output APIs." }, { "left": "pull_request:43999", "right": "pull_request:44025", "accept": false, - "reason": "Different model families; these are parallel refactors, not duplicates." + "reason": "Different depth-estimation models; not a single duplicate fix." }, { "left": "pull_request:43999", "right": "pull_request:44026", "accept": false, - "reason": "They both modernize outputs, but on unrelated encoder/decoder vs. MobileNet code paths." + "reason": "MobileNetV1 vs vision_encoder_decoder are unrelated implementation paths." }, { "left": "pull_request:43999", "right": "pull_request:44027", "accept": false, - "reason": "Different model architectures; no shared concrete fix beyond the refactor pattern." + "reason": "Different subsystems and call chains; same refactor motif is insufficient." }, { "left": "pull_request:44000", "right": "pull_request:44001", "accept": false, - "reason": "Unrelated models; same tracing refactor style but not the same underlying change." + "reason": "Vision-text dual encoder and UnivNet do not share the same underlying bug or code path." }, { "left": "pull_request:44000", "right": "pull_request:44002", "accept": false, - "reason": "Different code paths and output contracts; not a duplicate fix." + "reason": "Distinct model code paths; not plausibly one merged PR." }, { "left": "pull_request:44000", "right": "pull_request:44003", "accept": false, - "reason": "Different model families and implementation details; too broad to be one PR." + "reason": "These are separate model refactors, not duplicate fixes." }, { "left": "pull_request:44000", - "right": "pull_request:44025", + "right": "pull_request:44004", "accept": false, - "reason": "Both are output-tracing refactors, but for different multimodal vs. depth models." + "reason": "Vision-text dual encoder vs CodeGen are unrelated model implementations." }, { "left": "pull_request:44001", "right": "pull_request:44002", "accept": false, - "reason": "Different models and forward semantics; only the refactor pattern matches." + "reason": "UnivNet and UperNet are separate models; similarity is only in API cleanup." }, { "left": "pull_request:44001", "right": "pull_request:44003", "accept": false, - "reason": "Not the same concrete bug/change; they apply to different model stacks." + "reason": "Different model families and different forward logic." }, { "left": "pull_request:44001", "right": "pull_request:44025", "accept": false, - "reason": "Similar tracing cleanup, but distinct model implementations and outputs." + "reason": "No shared concrete bug; only common output-tracing refactor pattern." }, { "left": "pull_request:44002", "right": "pull_request:44029", "accept": false, - "reason": "Different architectures; shared output-tracing modernization only." + "reason": "UperNet and RWKV have unrelated code paths and behavior." }, { "left": "pull_request:44002", "right": "pull_request:44003", "accept": false, - "reason": "Separate code paths in different model families; not a single fix." + "reason": "Different models; not the same fix." }, { "left": "pull_request:44003", "right": "pull_request:44028", "accept": false, - "reason": "Both are model refactors, but they target unrelated architectures and output shapes." + "reason": "Falcon/Mamba refactor vs SuperPoint refactor are separate changes in unrelated files." }, { "left": "pull_request:44003", "right": "pull_request:44004", "accept": false, - "reason": "Different models and different forward/caching logic; not the same underlying change." + "reason": "CodeGen and Mamba have different forward contracts and output semantics." }, { "left": "pull_request:43998", "right": "pull_request:44004", "accept": false, - "reason": "Same refactor family, but unrelated model code paths and outputs." - }, - { - "left": "pull_request:44001", - "right": "pull_request:44004", - "accept": false, - "reason": "Different model implementations; the similarity is only the output-tracing cleanup." - }, - { - "left": "pull_request:44002", - "right": "pull_request:44004", - "accept": false, - "reason": "Not the same bug or change; these are separate model-specific refactors." - }, - { - "left": "pull_request:44000", - "right": "pull_request:44004", - "accept": false, - "reason": "Different architectures and forward logic; only the refactor motif overlaps." + "reason": "Different model families; the overlap is only a broad refactoring theme." }, { "left": "pull_request:44025", "right": "pull_request:44026", "accept": false, - "reason": "Different composite models; similar can_return_tuple migration but not one concrete change." + "reason": "Depth-Anything and Vision-Encoder-Decoder are distinct models with separate output paths." }, { "left": "pull_request:44025", "right": "pull_request:44027", "accept": false, - "reason": "Distinct encoder/decoder vs. depth models; not duplicates." + "reason": "Different encoder-decoder/depth models; not a duplicate change." }, { "left": "pull_request:44025", "right": "pull_request:44028", "accept": false, - "reason": "Separate model families with independent output-tracing adjustments." + "reason": "Different model code paths and different output objects." }, { "left": "pull_request:44025", "right": "pull_request:44029", "accept": false, - "reason": "Different architectures and code paths; same modernization theme only." + "reason": "Depth-anything and RWKV are unrelated implementations." }, { "left": "pull_request:44025", "right": "pull_request:44030", "accept": false, - "reason": "Unrelated model implementations; not the same underlying fix." + "reason": "No shared underlying bug; only analogous tracing refactors." }, { "left": "pull_request:44026", - "right": "pull_request:44029", + "right": "pull_request:44027", "accept": false, - "reason": "Different model families and output contracts; not a mergeable duplicate." + "reason": "Vision-encoder-decoder and speech-encoder-decoder are different wrappers and separate code paths." }, { "left": "pull_request:44026", - "right": "pull_request:44027", + "right": "pull_request:44028", "accept": false, - "reason": "Both are seq2seq wrappers, but they target different modalities and code paths." + "reason": "Vision-encoder-decoder and SuperPoint do not fix the same issue." }, { "left": "pull_request:44026", - "right": "pull_request:44028", + "right": "pull_request:44029", "accept": false, - "reason": "Unrelated models; same tracing refactor style only." + "reason": "Different models and different output-handling implementations." }, { "left": "pull_request:44026", "right": "pull_request:44030", "accept": false, - "reason": "Different architectures and implementation details; not the same concrete change." + "reason": "Vision-encoder-decoder and DPR are unrelated; too broad to merge as duplicates." }, { "left": "pull_request:44027", "right": "pull_request:44028", "accept": false, - "reason": "Different model stacks and output behavior; only the refactor pattern is shared." + "reason": "Speech-encoder-decoder and SuperPoint are different subsystems with different outputs." }, { "left": "pull_request:44027", "right": "pull_request:44029", "accept": false, - "reason": "Separate models with unrelated forward code; not duplicates." + "reason": "No shared concrete code-path problem." }, { "left": "pull_request:44027", "right": "pull_request:44030", "accept": false, - "reason": "Different architectures and code paths; no shared underlying bug." + "reason": "Separate model families; not a duplicate fix." }, { "left": "pull_request:44028", "right": "pull_request:44029", "accept": false, - "reason": "Different model families and tracing implementations." + "reason": "SuperPoint and RWKV are unrelated beyond the refactor theme." }, { "left": "pull_request:44028", "right": "pull_request:44030", "accept": false, - "reason": "Unrelated model code paths; the similarity is only superficial." + "reason": "Different models and different output mechanisms." }, { "left": "pull_request:44029", "right": "pull_request:44030", "accept": false, - "reason": "Distinct architectures and output semantics; not the same fix." + "reason": "RWKV and DPR are distinct code paths; same motif is not enough for a duplicate." } ] }, @@ -22384,7 +22372,7 @@ "soft_pairs": [ "pull_request:44662|pull_request:45401" ], - "prepared_review_unit_hash": "c2cf778ad243f39f874a5a7fa6f71bc0690d78a8246b6216a159a636148ed7ac", + "prepared_review_unit_hash": "37d6aff4c67e03ad0a4406ee94dd72501da532056c63b02e3e86b545ec93d7e5", "component_budget": { "node_count": 2, "item_count": 2, @@ -22406,18 +22394,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two PRs adding different model integrations: PenguinVL implementation vs Voxtral TTS support. They share only broad Transformers plumbing files, not the same concrete feature or code path.", - "confidence": 0.95, + "summary": "These are two separate model-addition PRs (PenguinVL vs. Voxtral TTS) that only overlap on shared Transformers registration/docs plumbing. They do not appear to fix the same underlying bug or implement the same change, so the soft duplicate edge should be rejected.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45401 is the better representative if one must be chosen: it has an explicit issue target and a narrower, well-scoped Voxtral TTS feature addition. PR 44662 is a separate PenguinVL model integration with no issue target.", + "canonical_pr_reason": "PR #45401 is the more self-contained representative of its own change set: it targets Voxtral TTS specifically and has an explicit issue link, whereas the PenguinVL PR is an unrelated model addition.", "best_issue_reason": null, - "best_pr_reason": "PR 45401 is the stronger standalone PR candidate for triage because it is tightly scoped to a single model family and links to a tracking issue; PR 44662 is a distinct model implementation and should not be merged with it.", + "best_pr_reason": "PR #45401 is the stronger standalone PR for this cluster because it is tightly scoped to one model family, has an explicit tracking issue, and the implementation appears cohesive. PR #44662 is a separate, unrelated model integration.", "soft_edge_verdicts": [ { "left": "pull_request:44662", "right": "pull_request:45401", "accept": false, - "reason": "Different model additions for different code paths (PenguinVL vs Voxtral TTS). Shared auto/docs files are generic scaffolding, not evidence of the same underlying change." + "reason": "Different model integrations for different architectures; shared auto-registration/docs files are expected scaffolding, not evidence of the same fix or change." } ] }, @@ -22447,7 +22435,7 @@ "soft_pairs": [ "pull_request:44979|pull_request:45363" ], - "prepared_review_unit_hash": "cd0f1e4f8f62e7e543a32ba846f27d4ed71184eace186f65443137a000fd74be", + "prepared_review_unit_hash": "2471ab64bb38f1aa5ef20195baa27245cac0680448da49c99ac31281e8177c4a", "component_budget": { "node_count": 2, "item_count": 2, @@ -22469,18 +22457,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two pull requests are related to model/module fusion, but they target different layers and different concrete changes: one adds a generic module fusion API, the other adds KernelConfig-driven n-to-1 kernel fusion integration. They are not duplicates of the same underlying fix/change.", - "confidence": 0.92, + "summary": "Both items are fusion-related PRs, but they are not the same change: one introduces a generic Module Fusion API, while the other adds a specific n-to-1 kernel fusion workflow via KernelConfig. Related theme, different code paths and merge goals.", + "confidence": 0.9, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #44979 is the broader, more foundational change: it introduces the generic Module Fusion API and tests, which is the clearest representative if this cluster is being anchored on fusion infrastructure.", + "canonical_pr_reason": "PR #44979 is the better canonical representative because it introduces the foundational Module Fusion API, which is broader and more central than the draft kernel-config example in #45363.", "best_issue_reason": null, - "best_pr_reason": "PR #44979 is the best single representative because it defines the reusable fusion API rather than one specific KernelConfig integration path.", + "best_pr_reason": "PR #44979 is the strongest overall representative of the cluster: it is non-draft, defines the core abstraction, and has its own implementation/tests rather than being a narrower application of fusion.", "soft_edge_verdicts": [ { "left": "pull_request:44979", "right": "pull_request:45363", "accept": false, - "reason": "Related theme, but not the same patch: #44979 adds a generic module fusion API, while #45363 implements n-to-1 kernel fusion via KernelConfig and touches different integration codepaths. They would not plausibly be merged as one PR without collapsing distinct design work." + "reason": "Reject: these are adjacent fusion features, not the same underlying PR. #44979 adds a generic module-fusion API; #45363 adds a specific kernel-fusion path and example built around KernelConfig." } ] }, @@ -22510,7 +22498,7 @@ "soft_pairs": [ "pull_request:45086|pull_request:45317" ], - "prepared_review_unit_hash": "5e18eeb54801b51915127ba693f8366b6505cf34bcd49d07b9c9178ff066ebcb", + "prepared_review_unit_hash": "6e40a263481e5cf212bc10ce7de0ede9f7cb3122a8459ef32cbca86c0a24fb6b", "component_budget": { "node_count": 2, "item_count": 2, @@ -22532,18 +22520,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs address the same Mistral regex patch AttributeError in the same file and target the same issue; 45317 is the more complete version because it adds tests.", - "confidence": 0.99, + "summary": "Both pull requests fix the same AttributeError in `_patch_mistral_regex` by switching from `backend_tokenizer.pre_tokenizer` to `tokenizer.pre_tokenizer`; the second PR adds tests but targets the same code path.", + "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "pull_request:45317 is the better canonical PR because it contains the same core fix as 45086 plus test coverage, making it the more complete and merge-ready change.", + "canonical_pr_reason": "PR #45317 is the more complete representative: it contains the same fix as #45086 plus test coverage, and its title is clearer about the failing path.", "best_issue_reason": null, - "best_pr_reason": "pull_request:45317 is the strongest representative of this bugfix: same code-path fix, same issue target, and it includes tests, so it better captures the full resolution.", + "best_pr_reason": "PR #45317 is the best PR to keep as the canonical representative because it addresses the same bug with added validation and is the more polished, self-contained change.", "soft_edge_verdicts": [ { "left": "pull_request:45086", "right": "pull_request:45317", "accept": true, - "reason": "These are the same underlying bugfix in _patch_mistral_regex: identical code-path change in tokenization_utils_tokenizers.py for the same issue target, with 45317 adding tests. They could plausibly be merged into one PR." + "reason": "Same underlying bug and fix in `_patch_mistral_regex`; both change the same lines to use `tokenizer.pre_tokenizer`, and the second PR just adds tests." } ] }, @@ -22575,7 +22563,7 @@ "pull_request:45115|pull_request:45569", "pull_request:45569|pull_request:46565" ], - "prepared_review_unit_hash": "09af72a156b8626f9f6f6684ba5e9eaab79eb48f68af26f36fbd27f008ee7cd6", + "prepared_review_unit_hash": "082a0ebe77536937a4b21c2966d70e79c26282b46852cdddcdead74f25a8e483", "component_budget": { "node_count": 3, "item_count": 3, @@ -22597,24 +22585,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related only at a broad Nemotron naming/refactor level, but they are not the same concrete change. PR 45569 is the main NemotronH split/refactor, while 45115 is a narrower conversion-mapping update and 46565 is a separate Nemotron 3.5 ASR model add-on.", - "confidence": 0.86, + "summary": "These PRs are related by Nemotron naming/model-family work, but they are not the same underlying change: one is a narrow NemotronH refactor, one introduces the NemotronH dense/sparse split and docs, and one adds a separate Nemotron 3.5 ASR model. No duplicate PR pair stands out.", + "confidence": 0.9, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45569 is the best representative of the NemotronH work because it contains the core architectural split into nemotron_h_dense/nemotron_h_sparse plus the associated modeling, auto-mapping, docs, and tests changes.", + "canonical_pr_reason": "PR #45569 is the best representative of the cluster because it is the broadest NemotronH-focused change, adding the dense/sparse model split, auto mappings, docs, and tests; #45115 is a narrower refactor, and #46565 is a different model family.", "best_issue_reason": null, - "best_pr_reason": "PR 45569 is the most central and comprehensive change in the cluster; the others are either a narrow preprocessing/mapping follow-up (45115) or a different model family entirely (46565).", + "best_pr_reason": "PR #45569 is the strongest cluster anchor: it covers the main NemotronH architecture/productization work rather than just a refactor, and it is more complete than #45115 while being unrelated to #46565.", "soft_edge_verdicts": [ { "left": "pull_request:45115", "right": "pull_request:45569", "accept": false, - "reason": "Both touch NemotronH code, but 45115 only adds checkpoint conversion key renames while 45569 performs the larger split/refactor into dense and sparse variants. They are related, not the same fix or mergeable duplicate PRs." + "reason": "Both touch NemotronH internals, but #45115 is a conversion/refactor to GraniteMoeHybrid-compatible naming, while #45569 introduces the dense/sparse split and broader model packaging. Related subsystem, different concrete change." }, { "left": "pull_request:45569", "right": "pull_request:46565", "accept": false, - "reason": "These target different code paths and model families: NemotronH restructuring versus a new Nemotron 3.5 ASR streaming model. Shared repository areas are incidental, not evidence of the same underlying change." + "reason": "These are different model efforts: #45569 is NemotronH dense/sparse refactoring, while #46565 adds Nemotron 3.5 ASR streaming. They do not fix the same code-path problem and would not plausibly merge into one PR." } ] }, @@ -22644,7 +22632,7 @@ "soft_pairs": [ "pull_request:45332|pull_request:45333" ], - "prepared_review_unit_hash": "61af55f65c4dbc4cbe34a6f4aaf1ab7039a5d9603950169a40f570c4984224b8", + "prepared_review_unit_hash": "5606382242923bfc8c9aea805cda8a316a23e23efb47a37ba855d497cdc45564", "component_budget": { "node_count": 2, "item_count": 2, @@ -22666,18 +22654,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are open PRs for the same broader heterogeneous-model feature area, but they are not duplicates: one is config-layer support and the other extends that into model/cache/masking behavior. The larger PR is the better representative of the cluster.", - "confidence": 0.72, + "summary": "These two PRs are related parts of a broader heterogeneous-model feature, but they target different layers: one adds heterogeneous config support, the other adds model/runtime support. They are complementary rather than duplicate changes.", + "confidence": 0.78, "canonical_issue_reason": null, - "canonical_pr_reason": "No issue is present. PR 45332 is the best canonical PR because it is the broader umbrella change: it covers heterogeneous per-layer handling and also downstream modeling/cache integration, making it more representative than the config-only PR.", + "canonical_pr_reason": "PR #45332 is the broader umbrella change and the most representative cluster member: it spans cache/model/masking/heterogeneity code paths and includes the larger end-to-end feature surface.", "best_issue_reason": null, - "best_pr_reason": "PR 45332 is the strongest representative of the cluster because it subsumes the per-layer config work and adds the concrete model-path changes that make the feature usable end-to-end.", + "best_pr_reason": "PR #45332 is the best single PR to represent the cluster because it covers the larger, more integrated heterogeneous-model implementation rather than just the configuration layer.", "soft_edge_verdicts": [ { "left": "pull_request:45332", "right": "pull_request:45333", "accept": false, - "reason": "Related feature work, but not the same underlying change: 45333 is per-layer config support only, while 45332 adds broader heterogeneous modeling/cache behavior. They could coexist in one roadmap, but they are not duplicates." + "reason": "They are closely related but not the same underlying change: #45333 introduces per-layer heterogeneous configuration, while #45332 adds runtime/model support that consumes it. They could coexist in one feature series, but they do not appear to be duplicate fixes for the same concrete code-path problem." } ] }, @@ -22707,12 +22695,12 @@ "soft_pairs": [ "pull_request:45415|pull_request:45425" ], - "prepared_review_unit_hash": "f0d5cde99280f34a251f583cd6a2759476e63b6ebff4c44834ccb8a0b28e6a43", + "prepared_review_unit_hash": "73d86a3e2efdd9b47978c5fea51f1872927b9684d2be71e393c8e9e069da562f", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5513, + "serialized_chars": 5514, "estimated_input_tokens": 1379, "estimated_eval_tokens": 3014 }, @@ -22720,7 +22708,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5513, + "serialized_chars": 5514, "estimated_input_tokens": 1379, "estimated_eval_tokens": 3014 }, @@ -22729,18 +22717,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are typing-related pull requests, but they are not the same change: PR 45415 is a broad type-checking sweep across many transformers modules, while PR 45425 adds specific typing protocols/aliases and related fixes in a smaller set of files. Shared filenames are incidental, not evidence of a single concrete bug or patch.", - "confidence": 0.93, + "summary": "These are related only at a high level (typing cleanup), but they are not the same change: one is a broad type-checking sweep across many `src/transformers/*.py` files, while the other adds shared typing helpers/protocols used by a few modules. I would not merge them as duplicates.", + "confidence": 0.92, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45415 is the broader umbrella typing cleanup and is the better representative of the cluster\u2019s general direction.", + "canonical_pr_reason": "PR 45415 is the better canonical PR for the cluster because it is the broader umbrella type-checking sweep touching many Transformers modules and reflects the main theme of the group.", "best_issue_reason": null, - "best_pr_reason": "PR 45415 is the most representative single PR for the overall typing effort, but it should not be merged with 45425 as a duplicate.", + "best_pr_reason": "PR 45425 is the strongest standalone PR: it is a focused typing-infrastructure change with clear code-level purpose (shared protocols/aliases for downstream typing) rather than a wide mechanical sweep.", "soft_edge_verdicts": [ { "left": "pull_request:45415", "right": "pull_request:45425", "accept": false, - "reason": "Both are typing-related, but they target different concrete changes: 45415 is a wide mypy/type-checking pass over many modules, while 45425 introduces new typing protocols and helper aliases. They are not the same underlying fix and would not naturally merge into one PR." + "reason": "Both are type-related, but they target different concrete changes. 45415 is a broad mypy/typing cleanup across many files, while 45425 introduces shared typing aliases/protocols for specific integrations. They are not the same underlying fix and would not plausibly collapse into one PR." } ] }, @@ -22770,7 +22758,7 @@ "soft_pairs": [ "pull_request:45513|pull_request:46084" ], - "prepared_review_unit_hash": "d53d1f6845d1858f92fb90c064c0ccef1d979b5d6b0927790d074ddedd8c3f40", + "prepared_review_unit_hash": "c34e39a87469de8054d235571e0f78d55c20bf278eac6766aee760310546be96", "component_budget": { "node_count": 2, "item_count": 2, @@ -22792,18 +22780,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two PRs address different cache/forward bugs in different model families: Qwen3.5/OLMo linear attention versus Mamba2 CUDA kernel cache handling. They are not duplicates or the same underlying change.", - "confidence": 0.98, + "summary": "Two pull requests with only superficial similarity around cached multi-token forward paths, but they target different model families and different bugs: one fixes linear-attention/GDN cached forward in OLMo/Qwen3.x, the other fixes Mamba2 cache behavior when seq_len > 1.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: the changes fix unrelated code paths in different architectures, so neither can stand in for the other.", + "canonical_pr_reason": "PR #46084 is the clearest canonical representative because it is narrowly scoped, explicitly tied to issue #46032, and fixes a concrete Mamba2 cache/state path for seq_len > 1 versus seq_len == 1.", "best_issue_reason": null, - "best_pr_reason": "PR 45513 is the better representative of the cluster only because it is the broader multi-model cache fix with more touched files and discussion, not because it matches PR 46084.", + "best_pr_reason": "PR #46084 is the best triage target: it has an explicit issue link, a focused code-path fix, and a straightforward problem statement. PR #45513 is broader and concerns a different set of models and logic.", "soft_edge_verdicts": [ { "left": "pull_request:45513", "right": "pull_request:46084", "accept": false, - "reason": "Different bugs and code paths: 45513 fixes multi-token cached forward for Qwen3.5/OLMo linear attention, while 46084 fixes Mamba2 use_cache for seq_len > 1 in its CUDA kernels. They are not plausibly mergeable into one PR." + "reason": "Reject: they are not the same underlying bug. #45513 fixes multi-token cached forward in linear attention/GDN for OLMo/Qwen3.x models, while #46084 fixes Mamba2 use_cache behavior for seq_len > 1. Similar theme, different implementation and code path." } ] }, @@ -22833,7 +22821,7 @@ "soft_pairs": [ "pull_request:45548|pull_request:45662" ], - "prepared_review_unit_hash": "138904217af88ac98fa5d11c4028c7078a2b629b40e3645c157b06cda94efdca", + "prepared_review_unit_hash": "9f1be025ebdeb6980ea13dcb92d3d7685fcb58946dfc920ceff2d7c15756d3c3", "component_budget": { "node_count": 2, "item_count": 2, @@ -22855,18 +22843,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related Expert Parallelism fixes, but they target different bugs: one addresses loading/serialization with accelerate + ZeRO-3, the other fixes expert weights being overwritten during FSDP2-style broadcast. They should not be merged as duplicates.", - "confidence": 0.93, + "summary": "Both PRs concern expert-parallelism loading behavior, but they fix different concrete failures: one adds distributed_config/has_ep plumbing for accelerate + DeepSpeed ZeRO-3 loading, while the other prevents expert weights from being overwritten during FSDP2 rank-0 broadcast.", + "confidence": 0.95, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR as a duplicate anchor: PR 45662 and PR 45548 fix different concrete EP loading paths. If a representative is needed, 45662 is the stronger choice because it targets the more explicit overwrite bug and has the broader code-path fix.", + "canonical_pr_reason": "No single canonical PR: the two patches address different bug paths and should not be treated as duplicates.", "best_issue_reason": null, - "best_pr_reason": "PR 45662 is the better representative of the cluster because it fixes a specific, clearly described EP failure mode in the loading path and includes the more substantial code changes. PR 45548 is narrower and about a different loading/serialization issue.", + "best_pr_reason": "PR 45662 is the stronger representative for the cluster because it covers a concrete correctness bug in distributed expert loading and includes the broader fix across loading and MoE code paths.", "soft_edge_verdicts": [ { "left": "pull_request:45548", "right": "pull_request:45662", "accept": false, - "reason": "Both are EP-related, but 45548 fixes distributed_config serialization and accelerate/ZeRO-3 loading, while 45662 fixes rank-0 broadcast overwriting experts under FSDP2. Different underlying bugs and not plausibly one merged PR." + "reason": "They share the EP theme and one file, but the bugs differ: 45548 is about preserving distributed_config/has_ep for accelerate + ZeRO-3 loading, while 45662 fixes experts being clobbered by rank-0 broadcast under FSDP2. Not the same underlying change." } ] }, @@ -22896,12 +22884,12 @@ "soft_pairs": [ "pull_request:45639|pull_request:45645" ], - "prepared_review_unit_hash": "900d667930ecf1e28991c633de1f23f2f5eb333c1ec33a8a1c70a40330c26846", + "prepared_review_unit_hash": "77d73dbfa26e7e703bc4edd27331caa3eddb03ea947e953ec0d40065137f12b4", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4589, + "serialized_chars": 4590, "estimated_input_tokens": 1148, "estimated_eval_tokens": 2552 }, @@ -22909,7 +22897,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4589, + "serialized_chars": 4590, "estimated_input_tokens": 1148, "estimated_eval_tokens": 2552 }, @@ -22918,18 +22906,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs target the same xdist collision problem for patched-testing debug logs/captured_info artifacts. PR 45645 appears to be the more complete fix, extending the code change to CI log collection as well as the testing utility changes.", - "confidence": 0.86, + "summary": "Both PRs target the same xdist-safe captured_info logging bug around patched testing methods. PR 45639 fixes the file write path in `testing_utils.py`; PR 45645 includes that kind of fix plus the CI/workflow side needed to read multiple `captured_info*.txt` files, so they look like overlapping implementations of one underlying change.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45645 is the better canonical PR because it includes the core xdist-safe output handling plus the follow-up workflow changes needed to read multiple captured_info files in CI.", + "canonical_pr_reason": "PR 45645 is the better canonical PR because it covers the core bug fix and the downstream CI/log aggregation changes needed to support the new xdist-safe output behavior.", "best_issue_reason": null, - "best_pr_reason": "PR 45645 is the best representative of the cluster since it addresses the underlying captured_info/xdist artifact problem end-to-end, not just the file-writing side.", + "best_pr_reason": "PR 45645 is the strongest representative: it addresses the same artifact-collision problem and includes the broader end-to-end handling, not just the local file-write change.", "soft_edge_verdicts": [ { "left": "pull_request:45639", "right": "pull_request:45645", "accept": true, - "reason": "Both PRs fix the same underlying captured_info xdist-collision bug in the patched testing logs path. 45645 looks like the broader superset, but 45639 is still the same change family and could plausibly be merged into one PR." + "reason": "Same underlying xdist collision problem for captured_info artifacts, same issue target, and the fixes are complementary pieces of one change: 45639 changes the output file behavior, while 45645 adapts workflow consumption to the new multi-file layout." } ] }, @@ -22959,7 +22947,7 @@ "soft_pairs": [ "pull_request:45720|pull_request:46259" ], - "prepared_review_unit_hash": "baaca13968516f0af4f903a6ef8afe2b3f520dff7841c58520abc1e8107d4703", + "prepared_review_unit_hash": "99353499b855a68e5118e035e483585e235eacf08bcdba281bf17496fba801e1", "component_budget": { "node_count": 2, "item_count": 2, @@ -22981,18 +22969,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two unrelated transformer linter PRs overlap on some of the same model files, but they fix different code paths: TRF003 adjusts forward/return_tuple behavior, while TRF018 changes weight initialization patterns.", + "summary": "The two PRs overlap in broad modeling files, but they implement different linter rules and different code changes, so they are not duplicates.", "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46259 is the better representative for the cluster because it is the broader, more self-contained linter rule change and touches more files across the modeling init path.", + "canonical_pr_reason": "No canonical PR: the PRs target different lint rules and different refactors, despite touching some of the same model files.", "best_issue_reason": null, - "best_pr_reason": "PR #46259 is the strongest standalone candidate because it addresses a concrete modeling initialization rule across multiple architectures, with a coherent scope and clear code-path impact.", + "best_pr_reason": "PR 45720 is the clearer representative of the cluster because it is a focused rule implementation sweep around forward signatures and tuple-return handling.", "soft_edge_verdicts": [ { "left": "pull_request:45720", "right": "pull_request:46259", "accept": false, - "reason": "Do not merge: these target different lint rules and different behaviors. #45720 changes forward signatures/tuple return handling, while #46259 modifies _init_weights initialization logic. Overlapping filenames alone is not enough to make them the same fix." + "reason": "Reject: TRF003 tuple-return/forward-signature changes and TRF018 weight-init/modeling-rule changes are different underlying refactors; shared filenames are broad subsystem overlap, not the same fix." } ] }, @@ -23088,7 +23076,7 @@ "soft_pairs": [ "pull_request:45932|pull_request:46100" ], - "prepared_review_unit_hash": "2a16ba26b33d95bdeb03805086a05fc5dcf1f28c932193db7c0cc7145867493e", + "prepared_review_unit_hash": "45381e31d39123fefad9881725dcbaa3129a0c011f392886b5d41bcbbc318586", "component_budget": { "node_count": 2, "item_count": 2, @@ -23110,18 +23098,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two PRs are not duplicates: #45932 is a mixed implementation/CI tweak PR with model code and workflow changes, while #46100 is a test-migration PR focused on kernel/model tests. They do not appear to fix the same underlying bug or implement the same change.", - "confidence": 0.95, + "summary": "These two pull requests are not duplicates of the same underlying change. PR 45932 is a broad \u201ctesting grafana\u201d/CI and model-code change, while PR 46100 is a separate test migration focused on kernel/model tests. They touch different files, different purposes, and do not look mergeable into one PR.", + "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": "#45932 is the better representative only because it contains the broader substantive code changes and touches the main implementation path; #46100 is mostly test migration and does not match its scope.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "#45932 is the most central PR in the cluster by impact and scope, but it should still not be treated as a duplicate of #46100.", + "best_pr_reason": "No single PR is a clear canonical duplicate representative here; the two PRs address different workstreams. If forced to choose one, 45932 is the broader code-change PR, but it is not a duplicate of 46100.", "soft_edge_verdicts": [ { "left": "pull_request:45932", "right": "pull_request:46100", "accept": false, - "reason": "Reject: #45932 updates model implementation/configs and CI secrets/workflow, while #46100 adds/relocates tests and DDP test config. Different underlying changes and code paths; not mergeable as one PR." + "reason": "Reject: the diffs target different changesets. 45932 alters CI workflow plus several model implementation/mapping files, while 46100 adds kernel test infrastructure and model tests. They do not appear to fix the same concrete bug or implement the same feature, and they would not plausibly be merged as one PR." } ] }, @@ -23151,7 +23139,7 @@ "soft_pairs": [ "pull_request:46126|pull_request:46269" ], - "prepared_review_unit_hash": "4ce981eca199c781dfb64dafce24e9c4a06b91a98709e540bc89fe37588dcc2b", + "prepared_review_unit_hash": "d59e91143039b1ff0b8c695f0c0a96cc102ceb17d179b211274545c2a3de07f1", "component_budget": { "node_count": 2, "item_count": 2, @@ -23173,18 +23161,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two PRs are related in topic area, but they are not the same concrete change. PR #46126 is a focused EP + Trainer integration feature, while PR #46269 is a broad distributed-branch base touching many unrelated distributed subsystems; the overlapping files look incidental rather than evidence of a mergeable duplicate.", - "confidence": 0.89, + "summary": "The two pull requests are related to distributed training, but they are not the same underlying change. PR #46126 is a focused EP/Trainer integration for tensor-parallel routing behavior, while PR #46269 is a broad distributed-branch base covering many unrelated distributed components and CI changes.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "#46126 is the more specific, self-contained change with a clear code-path target (EP routing + Trainer integration). #46269 is a broad base/integration branch spanning many areas, so it is a poorer canonical representative for a duplicate cluster.", + "canonical_pr_reason": "PR #46126 is the more canonical change because it targets one concrete feature/fix path (EP + Trainer integration and routing behavior) with a narrow, coherent scope. PR #46269 is a large umbrella branch with many unrelated distributed edits, so it is not a good canonical representative of this specific change.", "best_issue_reason": null, - "best_pr_reason": "#46126 is the best standalone PR in this pair because it has the clearest single purpose and the most coherent change set. #46269 is too broad and multi-purpose to serve as the best representative of the underlying change.", + "best_pr_reason": "PR #46126 best represents the specific code-path change implied by the overlap in tensor-parallel/distributed filenames. PR #46269 is too broad and multi-purpose to serve as the best duplicate target for this cluster.", "soft_edge_verdicts": [ { "left": "pull_request:46126", "right": "pull_request:46269", "accept": false, - "reason": "Do not merge: the shared distributed filenames are not enough to show the same underlying bug or change. #46126 is a specific EP/trainer feature, while #46269 is a much larger distributed foundation branch that likely contains or precedes many of the same files but addresses a different scope." + "reason": "Reject: they overlap in distributed filenames, but #46126 is a focused EP routing/trainer integration change whereas #46269 is a broad distributed base touching many unrelated areas. They do not appear to fix the same concrete bug or be plausibly mergeable into one PR." } ] }, @@ -23250,208 +23238,208 @@ "pull_request:46504|pull_request:46563", "pull_request:46504|pull_request:46716" ], - "prepared_review_unit_hash": "d797398db52ff14f90240bb3a2871ff9c828cc08a1d077533a0848163493144b", + "prepared_review_unit_hash": "efeb97287fe6d06b765cdb9ecc8db6cba1a695535fbaee739c81b6429c7bd771", "component_budget": { "node_count": 10, "item_count": 10, "soft_pair_count": 29, - "serialized_chars": 25928, - "estimated_input_tokens": 6482, - "estimated_eval_tokens": 13220 + "serialized_chars": 25924, + "estimated_input_tokens": 6481, + "estimated_eval_tokens": 13218 }, "budget": { "node_count": 10, "item_count": 10, "soft_pair_count": 29, - "serialized_chars": 25928, - "estimated_input_tokens": 6482, - "estimated_eval_tokens": 13220 + "serialized_chars": 25924, + "estimated_input_tokens": 6481, + "estimated_eval_tokens": 13218 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster is heterogeneous: most PRs are unrelated workflow chore edits, and the pr-ci-security-gate items are related only at a broad security-hardening level, not as duplicate fixes. I would not merge any of the soft-edge pairs as true duplicates.", - "confidence": 0.94, + "summary": "This cluster is mostly a set of unrelated workflow-maintenance PRs. A few touch the same `.github/workflows/pr-ci-security-gate.yml` file, but they make different concrete changes, so they are not true duplicates.", + "confidence": 0.95, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46554 is the most substantive and central item in the only semi-related subgroup: it makes the PR CI security gate actually inspect the PR diff and reject workflow/CI-infra changes. The other PRs are smaller, separate workflow tweaks.", + "canonical_pr_reason": "PR 46554 is the best representative of the cluster\u2019s tightest subgroup because it is the most substantial `pr-ci-security-gate.yml` change and sits at the center of the strongest similarity links, even though the cluster is not made of duplicates.", "best_issue_reason": null, - "best_pr_reason": "#46554 is the best representative PR in the set because it is the clearest concrete behavior change and the closest thing to a hub among the security-gate edits. The remaining PRs are isolated maintenance changes in different workflows.", + "best_pr_reason": "PR 46554 is the most suitable anchor if one PR must represent this cluster: it is the clearest security-gate workflow update and has the strongest overlap with the other same-file PRs, but it should not be treated as a duplicate of them.", "soft_edge_verdicts": [ { "left": "pull_request:46138", "right": "pull_request:46554", "accept": false, - "reason": "Different workflows and different fixes: stdin handling in self-comment CI vs security-gate logic in pr-ci-security-gate." + "reason": "Different workflow files and different changes: self-comment CI stdin handling vs. pr-ci security-gate checkout/diff logic." }, { "left": "pull_request:46138", "right": "pull_request:46558", "accept": false, - "reason": "Unrelated workflow changes; one adjusts stdin usage, the other changes PR CI gate permissions/flow." + "reason": "Unrelated workflow updates in different files; no shared concrete bug or code path." }, { "left": "pull_request:46138", "right": "pull_request:46563", "accept": false, - "reason": "Different workflow files and different changes; no shared concrete bug or code path." + "reason": "Different workflows and different purposes; not the same fix." }, { "left": "pull_request:46138", "right": "pull_request:46716", "accept": false, - "reason": "Self-comment CI message piping is unrelated to pr-ci-security-gate secrets handling." + "reason": "Different workflow file and different security-gate adjustment; not duplicate work." }, { "left": "pull_request:46138", "right": "pull_request:46504", "accept": false, - "reason": "Different workflows and unrelated fixes; not the same underlying change." + "reason": "Different CI workflows and unrelated shell/input handling changes." }, { "left": "pull_request:46432", "right": "pull_request:46503", "accept": false, - "reason": "SSH-runner hardening and benchmark_v2 trigger changes are distinct workflow updates." + "reason": "Different workflow files and unrelated changes; one is SSH runner hardening, the other benchmark dispatch support." }, { "left": "pull_request:46432", "right": "pull_request:46501", "accept": false, - "reason": "Different workflows with different fixes; no duplicate bug/change here." + "reason": "Same broad CI area, but different workflow and different fix." }, { "left": "pull_request:46432", "right": "pull_request:46502", "accept": false, - "reason": "SSH-runner environment cleanup vs assign-reviewers checkout ref change are unrelated." + "reason": "Different workflow files and unrelated behavior changes." }, { "left": "pull_request:46432", "right": "pull_request:46554", "accept": false, - "reason": "Different workflows and different problems; one hardens SSH runner, the other changes PR CI gate behavior." + "reason": "SSH runner hardening vs. PR CI security-gate logic are different concrete changes." }, { "left": "pull_request:46432", "right": "pull_request:46558", "accept": false, - "reason": "No shared concrete bug; SSH-runner token cleanup is unrelated to PR CI gate permissions." + "reason": "Different workflow file and unrelated security/permission tweaks." }, { "left": "pull_request:46501", "right": "pull_request:46503", "accept": false, - "reason": "Different workflow files and unrelated modifications; not the same change." + "reason": "Both touch workflow files, but they change different jobs and different runtime behavior." }, { "left": "pull_request:46501", "right": "pull_request:46502", "accept": false, - "reason": "Anti-slop permission cleanup is unrelated to assign-reviewers checkout ref correction." + "reason": "Anti-slop permissions tweak vs. assign-reviewers checkout ref change; not the same underlying bug." }, { "left": "pull_request:46501", "right": "pull_request:46504", "accept": false, - "reason": "Different workflows and fixes; not a single underlying bug or patch." + "reason": "Different workflow files and different fixes; only a generic CI-maintenance theme." }, { "left": "pull_request:46501", "right": "pull_request:46554", "accept": false, - "reason": "Only broad GitHub Actions maintenance overlap; the concrete changes are unrelated." + "reason": "Different files and different security model changes; not mergeable as one duplicate fix." }, { "left": "pull_request:46502", "right": "pull_request:46503", "accept": false, - "reason": "Assign-reviewers checkout ref and benchmark_v2 dispatch trigger are different workflow concerns." + "reason": "Different workflow jobs and distinct behavior changes." }, { "left": "pull_request:46502", "right": "pull_request:46504", "accept": false, - "reason": "Different workflows and different behavior changes; no duplicate fix." + "reason": "Different workflows; one changes reviewer assignment checkout, the other command input handling." }, { "left": "pull_request:46502", "right": "pull_request:46554", "accept": false, - "reason": "No shared concrete bug; one edits reviewer assignment checkout, the other PR CI security gating." + "reason": "Assign-reviewers ref pinning is unrelated to PR CI security-gate logic." }, { "left": "pull_request:46503", "right": "pull_request:46504", "accept": false, - "reason": "Benchmark dispatch trigger and build-ci Docker image message handling are unrelated." + "reason": "Benchmark dispatch support and docker-image tag detection are separate workflow concerns." }, { "left": "pull_request:46503", "right": "pull_request:46554", "accept": false, - "reason": "Different workflows and unrelated code paths; not mergeable as one fix." + "reason": "Different workflow files and unrelated changes." }, { "left": "pull_request:46504", "right": "pull_request:46554", "accept": false, - "reason": "Both touch GitHub Actions, but they fix different workflows and different issues." + "reason": "Different workflows and different concrete fixes; same CI theme is too broad." }, { "left": "pull_request:46504", "right": "pull_request:46558", "accept": false, - "reason": "Build-ci Docker message parsing is unrelated to PR CI security-gate permission changes." + "reason": "Build-image commit-message parsing vs. PR CI gate permissions are unrelated changes." }, { "left": "pull_request:46554", "right": "pull_request:46558", "accept": false, - "reason": "Same file, but different concrete changes: diff-based security checks vs job permissions/approval gating. Too broad to treat as duplicates." + "reason": "Same file, but different fixes: one adds checkout and file checks, the other changes permissions and approval gating." }, { "left": "pull_request:46554", "right": "pull_request:46563", "accept": false, - "reason": "Both modify the same workflow, but one adds security checks while the other swaps to a reusable workflow/comment; different changes." + "reason": "Same workflow file, but different concrete change: safety note for reusable workflow vs. checkout/diff-based gate logic." }, { "left": "pull_request:46554", "right": "pull_request:46716", "accept": false, - "reason": "Different security-hardening actions in the same workflow file, but not the same underlying fix." + "reason": "Same file, but one changes secrets handling while the other adds security-check logic; not the same bug." }, { "left": "pull_request:46558", "right": "pull_request:46563", "accept": false, - "reason": "Both are pr-ci-security-gate edits, but they address different aspects of the workflow and could not be treated as one duplicate fix." + "reason": "Same workflow file, but distinct edits to different parts of the gate." }, { "left": "pull_request:46558", "right": "pull_request:46716", "accept": false, - "reason": "Job permissions/approval logic and secrets removal are separate hardening changes, not the same change." + "reason": "Different concrete security-gate changes: permissions/approval flow vs. secrets inheritance." }, { "left": "pull_request:46563", "right": "pull_request:46716", "accept": false, - "reason": "Reusable-workflow note/comment change vs secrets: {} are different edits with different intent." + "reason": "Both are pr-ci-security-gate updates, but one adds explanatory comments and the other changes secrets propagation." }, { "left": "pull_request:46504", "right": "pull_request:46563", "accept": false, - "reason": "Build-ci Docker image shell handling is unrelated to PR CI security-gate workflow wiring." + "reason": "Different workflow files and unrelated CI changes." }, { "left": "pull_request:46504", "right": "pull_request:46716", "accept": false, - "reason": "Different workflows and unrelated fixes; no duplicate underlying bug." + "reason": "Different workflow files and unrelated fixes." } ] }, @@ -23481,7 +23469,7 @@ "soft_pairs": [ "pull_request:46152|pull_request:46207" ], - "prepared_review_unit_hash": "a4034afcd1c491d01bd82f26f8868724cd7a8aff3da2e9c94c4d6d7453364579", + "prepared_review_unit_hash": "1e302a4c351e8e57f2fa4ba975052d047206e6ce362068d15925690663173afa", "component_budget": { "node_count": 2, "item_count": 2, @@ -23503,18 +23491,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs share a broad theme of removing brittle file-open source inspection, but they change different code paths in different modules, so they are related refactors rather than duplicates.", - "confidence": 0.97, + "summary": "These are related only at the theme level: both replace brittle source-file opening with a safer source inspection approach, but they fix different code paths and different underlying problems, so they should not be deduplicated.", + "confidence": 0.91, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR for duplication: one changes import_utils module-resolution logic, the other changes modeling_utils attention-implementation detection; they are separate fixes.", + "canonical_pr_reason": "PR 46152 is the broader infrastructure change in import_utils and is the better representative of the cluster theme; PR 46207 is a separate, narrower modeling_utils fix.", "best_issue_reason": null, - "best_pr_reason": "PR 46207 is the better standalone representative because its target is explicit, it includes a test change, and its scope is narrowly defined to one concrete heuristic in modeling_utils.", + "best_pr_reason": "PR 46152 is the stronger cluster anchor because it addresses the general source-resolution mechanism rather than one specific caller, while still not subsuming PR 46207.", "soft_edge_verdicts": [ { "left": "pull_request:46152", "right": "pull_request:46207", "accept": false, - "reason": "Same general refactor theme, but different functions, different modules, and different failure modes; not the same underlying bug and not something that would naturally merge into one PR." + "reason": "Same broad motif (avoid open() on source), but different files, different functions, and different concrete fixes: 46152 adds a traversable resolver in import_utils; 46207 changes _can_set_attn_implementation in modeling_utils to use inspect.getsource. They are not the same underlying bug/change and would not be merged as one PR." } ] }, @@ -23544,7 +23532,7 @@ "soft_pairs": [ "pull_request:46154|pull_request:46196" ], - "prepared_review_unit_hash": "2739f3a669785218f1f5468d6420ab13b21b21d78e502656f9b57368f005fe1c", + "prepared_review_unit_hash": "b0abf65fd2a740f7a8596bb583992ad5a8b2ce857fbae3d2620b3d7f7dca0a16", "component_budget": { "node_count": 2, "item_count": 2, @@ -23566,18 +23554,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both items are PRs adding SDPA dispatch support, but they target different model families and largely separate code paths. They are similar in theme, not duplicates of the same underlying change.", - "confidence": 0.86, + "summary": "These are two separate PRs for enabling SDPA dispatch in different model families: T5 versus wav2vec2/audio models. They share a high-level theme but do not target the same concrete code path, so they should not be treated as duplicates.", + "confidence": 0.92, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46196 is the better canonical PR because it is the broader, more central implementation across several wav2vec2/related audio models, while #46154 is a narrower T5-only change.", + "canonical_pr_reason": "PR #46196 is the broader, more representative SDPA-dispatch change across multiple audio model implementations and docs, with substantial review activity and wider scope than the T5-specific PR.", "best_issue_reason": null, - "best_pr_reason": "PR #46196 best represents the cluster\u2019s theme of adding SDPA dispatch support across model implementations; it has the wider scope and is more likely to anchor related follow-up work.", + "best_pr_reason": "PR #46196 is the best cluster representative because it covers the broader underlying feature area (SDPA dispatch for audio models) and has the richer implementation footprint. PR #46154 is narrower and concerns a different model family.", "soft_edge_verdicts": [ { "left": "pull_request:46154", "right": "pull_request:46196", "accept": false, - "reason": "Same high-level feature area, but different model families and different concrete code paths. They are not the same fix and would not plausibly be merged into one PR." + "reason": "Both are about SDPA dispatch, but they modify different model families and code paths (T5 vs wav2vec2/audio stack). They are not the same bug/change and would not plausibly be merged into one PR." } ] }, @@ -23662,8 +23650,8 @@ "review_unit_count": 1, "status": "reviewed", "reason": null, - "source": "llm", - "cache_hit": false, + "source": "cache", + "cache_hit": true, "model": "gpt-5.4-mini?service_tier=flex", "cluster_id": "cluster-46174-2", "nodes": [ @@ -23736,12 +23724,12 @@ "soft_pairs": [ "pull_request:46310|pull_request:46546" ], - "prepared_review_unit_hash": "644ca2261e9e8ad895b91b600d8cfc3217a8ad211cb5c4710e10fe39e21cabb1", + "prepared_review_unit_hash": "492ce8ad662b264537ba626a76ff283cd3d070ce124db13b996d6c5ee526db4a", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4849, + "serialized_chars": 4851, "estimated_input_tokens": 1213, "estimated_eval_tokens": 2682 }, @@ -23749,7 +23737,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4849, + "serialized_chars": 4851, "estimated_input_tokens": 1213, "estimated_eval_tokens": 2682 }, @@ -23758,18 +23746,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs fix the same off-by-one bug in the Moonshine streaming sliding-window mask: the right window boundary should be inclusive. PR #46546 is the broader, more complete change and subsumes #46310.", - "confidence": 0.95, + "summary": "Both PRs fix the same off-by-one bug in sliding window masking: the right window boundary used `<` instead of `<=`. The second PR is a broader superset, applying the same fix to Moonshine and Gemma4 and adding tests.", + "confidence": 0.93, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46546 is the better canonical PR because it contains the same Moonshine streaming boundary fix as #46310, adds the related test coverage, and is the more complete superset of the change.", + "canonical_pr_reason": "PR 46546 is the better canonical representative because it contains the same boundary fix as 46310, extends it to another affected model implementation, and includes tests.", "best_issue_reason": null, - "best_pr_reason": "PR #46546 is the best representative because it addresses the same concrete bug, includes validation/tests, and covers the same fix with broader implementation context than #46310.", + "best_pr_reason": "PR 46546 is the strongest overall fix: it addresses the same concrete bug, covers more affected code paths, and is the more complete change set.", "soft_edge_verdicts": [ { "left": "pull_request:46310", "right": "pull_request:46546", "accept": true, - "reason": "Same underlying off-by-one right-window boundary bug in the Moonshine streaming mask; #46546 includes the same fix and adds tests, so these are effectively the same change family." + "reason": "Same underlying off-by-one right-window boundary bug in the sliding_window_mask_function. 46546 is a superset of 46310's fix rather than a different change." } ] }, @@ -23799,12 +23787,12 @@ "soft_pairs": [ "pull_request:46376|pull_request:46417" ], - "prepared_review_unit_hash": "4377816718281babaa86fe588ce80a0b184db64a86e7c67a2a0f47ac871ecb4c", + "prepared_review_unit_hash": "dc94e25d2d12990c0471ebff69582526e9bb760282409e7f64a63643266e5a29", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5938, + "serialized_chars": 5939, "estimated_input_tokens": 1485, "estimated_eval_tokens": 3226 }, @@ -23812,7 +23800,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5938, + "serialized_chars": 5939, "estimated_input_tokens": 1485, "estimated_eval_tokens": 3226 }, @@ -23821,18 +23809,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These two pull requests are not duplicates: one adds multimodal support to continuous batching infrastructure, while the other adds a specific HunYuan VL model implementation and docs/tests. They touch different code paths and are not plausibly mergeable into one PR.", - "confidence": 0.95, + "summary": "The two pull requests are not duplicates. PR 46376 adds multimodal support to continuous batching infrastructure, while PR 46417 adds a new HunYuan VL model package, docs, auto-mappings, and tests. They touch different code paths and solve different problems.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "pull_request:46417 is the better canonical PR because it is a focused, concrete model addition with substantial implementation, docs, and test coverage, making it a clearer standalone change than the broad draft infrastructure PR.", + "canonical_pr_reason": "pull_request:46417 is the stronger canonical PR for this cluster because it is the larger, self-contained feature addition with substantial model, processor, config, docs, and test coverage.", "best_issue_reason": null, - "best_pr_reason": "pull_request:46417 is the strongest representative of the cluster since it is more complete and self-contained; pull_request:46376 is a separate, broad groundwork change for continuous batching multimodal support.", + "best_pr_reason": "pull_request:46417 is the best representative PR in this set: it is the more complete and externally visible change, whereas pull_request:46376 is a separate infrastructure feature.", "soft_edge_verdicts": [ { "left": "pull_request:46376", "right": "pull_request:46417", "accept": false, - "reason": "Different underlying changes: 46376 is about continuous batching multimodal infrastructure, while 46417 adds the HunYuan VL model stack and associated docs/tests. They do not fix the same code-path problem." + "reason": "Different underlying changes: 46376 modifies continuous batching cache/scheduler internals for multimodal support, while 46417 introduces the HunYuan VL model implementation and documentation. They are not the same bug or mergeable into one PR." } ] }, @@ -23862,7 +23850,7 @@ "soft_pairs": [ "pull_request:46574|pull_request:46580" ], - "prepared_review_unit_hash": "b1add8a0306d7ad078fa8630555ec0fc18b7d2733c0fe58d0759580f64822c99", + "prepared_review_unit_hash": "d4e778454f753c4fcc4f011109c988ad8f13efc698f4aa8cd81d66288694ad24", "component_budget": { "node_count": 2, "item_count": 2, @@ -23884,18 +23872,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are not duplicates: one fixes CodeLlama decode-time stripping, the other fixes AutoTokenizer class selection for specific DeepSeek checkpoints. They touch different code paths and model families.", - "confidence": 0.96, + "summary": "These two PRs are unrelated tokenizer fixes: one corrects CodeLlama decode behavior for leading spaces, the other changes AutoTokenizer selection for specific DeepSeek checkpoints that load the wrong tokenizer class.", + "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: the PRs solve different bugs in different tokenizer subsystems, so neither can stand in for the other.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "No single best PR for the cluster; 46574 is a model-specific decode fix, while 46580 is a checkpoint-prefix routing fix, so the cluster is not one coherent change.", + "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "pull_request:46574", "right": "pull_request:46580", "accept": false, - "reason": "Different underlying issues: CodeLlama decoder initialization/strip behavior versus AutoTokenizer checkpoint-class override for DeepSeek models. They are not mergeable as one PR." + "reason": "Different code paths and symptoms: CodeLlama decoder stripping on decode vs DeepSeek checkpoint-to-tokenizer-class routing. They are not the same underlying bug or change." } ] }, @@ -23925,12 +23913,12 @@ "soft_pairs": [ "pull_request:46603|pull_request:46604" ], - "prepared_review_unit_hash": "3b0c65b9758cf2d139ab6322989c16cd295ba1128bc848289165e745ed84dc4d", + "prepared_review_unit_hash": "7cba58e6fec2b14e8f5a29c00afb35e505e1be48d5291cce94b5e8734dd70ce3", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5494, + "serialized_chars": 5495, "estimated_input_tokens": 1374, "estimated_eval_tokens": 3004 }, @@ -23938,7 +23926,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5494, + "serialized_chars": 5495, "estimated_input_tokens": 1374, "estimated_eval_tokens": 3004 }, @@ -23947,18 +23935,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two PRs are related to Mistral tokenizer support, but they address different changes: one is a refactor/move of the existing MistralConverter, the other adds new tekken tokenizer detection/conversion/save utilities. Shared files alone do not make them duplicates.", - "confidence": 0.92, + "summary": "Two Mistral tokenizer PRs in the same subsystem, but they address different changes: one is a refactor that moves MistralConverter into the integrations package, while the other adds tekken tokenizer detection/conversion/save support. They overlap in files but not in concrete change scope.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46604 is the better cluster representative because it contains the broader, user-facing tokenizer functionality change; #46603 is mostly an organizational move of MistralConverter into the integrations package.", + "canonical_pr_reason": "PR #46604 is the more substantial feature work and likely the better anchor for the Mistral tokenizer topic; PR #46603 is a narrower refactor/move of existing converter code.", "best_issue_reason": null, - "best_pr_reason": "PR #46604 is the strongest standalone candidate: it appears to implement the concrete tokenizer feature work, whereas #46603 is a narrower code relocation/refactor.", + "best_pr_reason": "PR #46604 is the best representative of the cluster because it introduces the main user-visible capability change, whereas PR #46603 is mostly code relocation/organization.", "soft_edge_verdicts": [ { "left": "pull_request:46603", "right": "pull_request:46604", "accept": false, - "reason": "Different underlying changes. #46603 moves MistralConverter into a new integrations package; #46604 adds tekken tokenizer detection, conversion, and save utilities. They overlap in Mistral tokenizer code but do not look like the same bug/change and would not cleanly merge into one PR." + "reason": "Different underlying changes: #46603 moves MistralConverter into a new package, while #46604 adds tekken tokenizer detection, conversion, and save utilities. Shared Mistral files alone are not enough to treat them as the same PR or same bug fix." } ] }, @@ -23994,12 +23982,12 @@ "pull_request:46748|pull_request:46781", "pull_request:46748|pull_request:46773" ], - "prepared_review_unit_hash": "18cddefeeb0f861586479bc38addc7bf57688058df45d50762f84888e96edcda", + "prepared_review_unit_hash": "d9eedb2df8934191687f9c57ee5fc479a17f987cd2b808873a7e147f213e1e7b", "component_budget": { "node_count": 4, "item_count": 4, "soft_pair_count": 5, - "serialized_chars": 10653, + "serialized_chars": 10654, "estimated_input_tokens": 2664, "estimated_eval_tokens": 5584 }, @@ -24007,7 +23995,7 @@ "node_count": 4, "item_count": 4, "soft_pair_count": 5, - "serialized_chars": 10653, + "serialized_chars": 10654, "estimated_input_tokens": 2664, "estimated_eval_tokens": 5584 }, @@ -24016,42 +24004,42 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are all hybrid-model related, but they fix different concrete bugs: Mamba2 mixer chunked-prefill/spec decode, padding-mask application, offloaded-cache prefetching, and quantized-cache layer construction. None of the soft pairs look mergeable into one PR.", - "confidence": 0.92, + "summary": "These PRs all touch hybrid/linear-attention cache paths, but they address different concrete bugs in different code paths: Mamba2 chunked-prefill/speculative decoding, offloaded-cache prefetch device mismatch, padding-mask handling for batch size 1, and QuantizedCache layer construction for hybrid models. They should not be deduplicated together.", + "confidence": 0.93, "canonical_issue_reason": null, - "canonical_pr_reason": "pull_request:46748 is the best anchor: it fixes a concrete cache-utils bug in offloaded cache prefetching for hybrid models, with a focused utility change and tests, and is broader than the model-specific PRs.", + "canonical_pr_reason": "PR #46748 is the best representative of the cluster because it fixes a core cache-utils prefetch bug in the shared offloaded-cache path and has the broadest reusable impact on hybrid models.", "best_issue_reason": null, - "best_pr_reason": "pull_request:46748 is the strongest overall fit because it addresses a shared low-level cache-path problem in a core utility used by multiple hybrid architectures, while remaining specific and test-backed.", + "best_pr_reason": "PR #46748 is the strongest canonical PR candidate: it targets a central shared utility, has a clear concrete failure mode, and is broader/more infrastructure-level than the model-specific fixes.", "soft_edge_verdicts": [ { "left": "pull_request:46741", "right": "pull_request:46781", "accept": false, - "reason": "Different bugs and code paths: Mamba2/Zamba2 chunked-prefill/speculative decode versus quantized-cache layer selection for hybrid models." + "reason": "Different bugs: #46741 fixes Mamba2/Zamba2 chunked-prefill and speculative decoding state handling, while #46781 fixes QuantizedCache initialization for hybrid SSM+attention models. Same general area, but not the same code-path problem." }, { "left": "pull_request:46741", "right": "pull_request:46773", "accept": false, - "reason": "Unrelated fixes: Mamba2 mixer chunked-prefill/spec decode versus padding-mask handling in linear-attention models." + "reason": "Different model-family fixes: #46741 is about Mamba2-style mixer cache handling during chunked prefill/speculative decoding, whereas #46773 changes padding-mask application for batch-size-1 linear-attention models." }, { "left": "pull_request:46741", "right": "pull_request:46748", "accept": false, - "reason": "Both involve hybrid/cache behavior, but one is about mixer chunked-prefill/spec decode and the other is about offloaded cache prefetch device mismatch." + "reason": "#46741 is a model forward-path fix; #46748 is a cache prefetch/offload device mismatch fix. They are unrelated concrete bugs despite both involving caches." }, { "left": "pull_request:46748", "right": "pull_request:46781", "accept": false, - "reason": "Same cache_utils area, but distinct failures: device-mismatch prefetching versus quantized-cache construction for hybrid layer types." + "reason": "Both touch cache_utils and hybrid models, but the failures differ: #46748 fixes offloaded cache prefetch/device placement, while #46781 fixes QuantizedCache layer selection/crash for hybrid models. Not mergeable as one duplicate change." }, { "left": "pull_request:46748", "right": "pull_request:46773", "accept": false, - "reason": "Different underlying issues: cache offload/prefetch logic versus padding-mask application in linear-attention forwards." + "reason": "#46748 is about cache offloading/prefetch device mismatch; #46773 is about skipping padding masks when batch size is 1 in linear-attention models. Different symptoms and code paths." } ] }, diff --git a/analysis/current/manifest.json b/analysis/current/manifest.json index bc6c1932005e321332673f1070f002ecbf90e4b9..cfc2a4b2ebf2f85ef2330946f1365816581627f6 100644 --- a/analysis/current/manifest.json +++ b/analysis/current/manifest.json @@ -1,8 +1,8 @@ { - "analysis_id": "hybrid-model-20260620t180017z", + "analysis_id": "hybrid-model-20260621t000031z", "archived_artifacts": { - "hybrid": "snapshots/20260620T180017Z/analysis-runs/hybrid-model-20260620t180017z/analysis-report-hybrid.json", - "hybrid_reviews": "snapshots/20260620T180017Z/analysis-runs/hybrid-model-20260620t180017z/analysis-report-hybrid.llm-reviews.json" + "hybrid": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.llm-reviews.json" }, "artifacts": { "hybrid": 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"Generic torch incompatibility and Qwen3 NVFP4 runtime error are not the same bug." + }, + { + "left": "issue:34928", + "right": "issue:41720", + "accept": false, + "reason": "FSDP checkpointing issue and Qwen3 auto-device assert are unrelated." + }, + { + "left": "issue:43828", + "right": "issue:45161", + "accept": false, + "reason": "Autocast dtype mismatch and GPT-OSS tensor-parallel failure are different bugs." + }, + { + "left": "issue:43828", + "right": "issue:44292", + "accept": false, + "reason": "Both are model/runtime failures, but the concrete failure modes do not match." + }, + { + "left": "issue:43541", + "right": "issue:43716", + "accept": false, + "reason": "Mixtral grouped_mm tracing error and Mistral-3 dtype mismatch are unrelated." + }, + { + "left": "issue:43716", + "right": "issue:46468", + "accept": false, + "reason": "Different models and distinct failure paths." + }, + { + "left": "issue:43716", + "right": "issue:45685", + "accept": false, + "reason": "Image preprocessor dtype mismatch is unrelated to the MPS histogram int error." + }, + { + "left": "issue:44292", + "right": "issue:44918", + "accept": false, + "reason": "Different models and different integration failures." + }, + { + "left": "issue:43039", + "right": "issue:44918", + "accept": false, + "reason": "Liger Kernel cross-entropy bug and TRL SFT embedding unpacking issue are unrelated." + }, + { + "left": "issue:41762", + "right": "issue:43638", + "accept": false, + "reason": "Gemma3 ZeRO-3 load error and BERT ZeRO-3 load error are similar in theme but not the same concrete bug." + }, + { + "left": "issue:43827", + "right": "issue:44512", + "accept": false, + "reason": "Both are docs regressions, but they refer to different removed references and different pages." + }, + { + "left": "issue:43828", + "right": "issue:45685", + "accept": false, + "reason": "Autocast dtype mismatch and MPS histogram limitation are unrelated." + }, + { + "left": "issue:44918", + "right": "issue:45685", + "accept": false, + "reason": "TRL SFT embedding unpacking and MPS histogram int error are unrelated." + }, + { + "left": "issue:43039", + "right": "issue:43828", + "accept": false, + "reason": "Liger Kernel cross-entropy call and Phi-tiny-MoE autocast mismatch are different issues." + }, + { + "left": "issue:30277", + "right": "issue:36331", + "accept": false, + "reason": "DeepSpeed collective mismatch and CustomTrainer signature change are unrelated." + }, + { + "left": "issue:34928", + "right": "issue:36010", + "accept": false, + "reason": "Activation checkpointing/FSDP error is unrelated to GenerationMixin import failure." + }, + { + "left": "issue:45237", + "right": "issue:46015", + "accept": false, + "reason": "GPU/model support issue and outdated RAG examples are different problem classes." + }, + { + "left": "issue:43039", + "right": "issue:44805", + "accept": false, + "reason": "Cross-entropy hook mismatch and tensor mask shape mismatch are unrelated." + }, + { + "left": "issue:45800", + "right": "issue:46304", + "accept": false, + "reason": "Different compatibility claims: torch 2.4.1/5.8.0 vs USE_DISTRIBUTED=0 breakage." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative on the soft edges. The three accepted duplicates are plausibly the same bug families from the titles, and the false negatives are appropriately cautious rather than overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 2, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:36010", + "issue:39290", + "issue:41093", + "issue:41720", + "issue:41762", + "issue:43039", + "issue:43296", + "issue:43366", + "issue:43404", + "issue:43425", + "issue:43531", + "issue:43541", + "issue:43572", + "issue:43596", + "issue:43638", + "issue:43792", + "issue:43828", + "issue:43854", + "issue:43866", + "issue:43872", + "issue:43901", + "issue:43975", + "issue:44292", + "issue:44512", + "issue:44560", + "issue:44589", + "issue:44841", + "issue:44863", + "issue:45020", + "issue:45070", + "issue:45084", + "issue:45237", + "issue:45362", + "issue:45399", + "issue:45464", + "issue:45685", + "issue:45800", + "issue:45812", + "issue:45823", + "issue:45901", + "issue:45920", + "issue:46015", + "issue:46294", + "issue:46304", + "issue:46402", + "issue:46661", + "issue:46772" + ], + "soft_pairs": [ + "issue:43866|issue:46402", + "issue:43296|issue:46304", + "issue:41762|issue:43596", + "issue:39290|issue:41720", + "issue:43901|issue:44512", + "issue:44589|issue:46304", + "issue:45237|issue:45901", + "issue:43039|issue:44560", + "issue:45823|issue:46294", + "issue:43975|issue:46015", + "issue:44841|issue:45823", + "issue:43866|issue:46772", + "issue:44863|issue:46015", + "issue:45020|issue:46304", + "issue:45812|issue:45920", + "issue:43872|issue:46304", + "issue:43866|issue:44863", + "issue:44292|issue:46015", + "issue:39290|issue:43531", + "issue:41093|issue:43638", + "issue:43792|issue:45901", + "issue:43854|issue:43866", + "issue:43425|issue:45070", + "issue:43975|issue:45901", + "issue:43596|issue:45800", + "issue:43792|issue:45070", + "issue:45362|issue:45464", + "issue:44292|issue:45901", + "issue:39290|issue:45823", + "issue:45464|issue:45685", + "issue:43541|issue:45685", + "issue:36010|issue:39290", + "issue:43541|issue:43828", + "issue:44841|issue:45084", + "issue:43404|issue:43866", + "issue:41093|issue:41762", + "issue:45399|issue:46661", + "issue:43572|issue:45070", + "issue:45800|issue:45823", + "issue:43296|issue:43366" + ], + "prepared_review_unit_hash": "884648442416fe290f879d26836338c9f756d4038bbadc0cec94cc9726ca8834", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 40, + "serialized_chars": 38903, + "estimated_input_tokens": 9726, + "estimated_eval_tokens": 19708 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous regression reports across unrelated model-loading, device-mapping, docs, and runtime issues. The only clear duplicate-like pair is the AutoTokenizer token-ID regression, where the broader multi-model report subsumes the Granite-specific one.", + "confidence": 0.79, + "canonical_issue_reason": "issue:45920 is the best umbrella issue: it describes the broader v5 AutoTokenizer token-ID regression across multiple model families, and it naturally covers the narrower Granite-specific report in issue:45812.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45920 is the strongest representative of the cluster\u2019s only substantive duplicate theme and has the broadest, most general problem statement.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43866", + "right": "issue:46402", + "accept": false, + "reason": "Corrupted Ovis2 checkpoint loading is unrelated to Sam3Model text-encoder weights not being loaded." + }, + { + "left": "issue:43296", + "right": "issue:46304", + "accept": false, + "reason": "vLLM model-load failure for PaddleOCR-VL is unrelated to PyTorch USE_DISTRIBUTED=0 support breakage." + }, + { + "left": "issue:41762", + "right": "issue:43596", + "accept": false, + "reason": "Both are IndexError-ish, but the failure modes and contexts differ too much: Qwen3 auto device mapping vs BertModel under ZeRO-3 init." + }, + { + "left": "issue:39290", + "right": "issue:41720", + "accept": false, + "reason": "Gemma3 sliding_window_pattern missing in vLLM is not the same bug as Qwen3 auto-device-map cudaErrorAssert." + }, + { + "left": "issue:43901", + "right": "issue:44512", + "accept": false, + "reason": "These are separate documentation issues about different deprecated/changed text in different docs areas." + }, + { + "left": "issue:44589", + "right": "issue:46304", + "accept": false, + "reason": "Float8 storage lookup failure is unrelated to distributed build/runtime support with USE_DISTRIBUTED=0." + }, + { + "left": "issue:45237", + "right": "issue:45901", + "accept": false, + "reason": "AMD GPU incompatibility for GPT-OSS is unrelated to table-question-answering task crashes." + }, + { + "left": "issue:43039", + "right": "issue:44560", + "accept": false, + "reason": "Liger Kernel cross_entropy routing and Qwen3-vl video StopIteration are different code paths and symptoms." + }, + { + "left": "issue:45823", + "right": "issue:46294", + "accept": false, + "reason": "Gemma4 device-mapping mismatch is unrelated to Qwen3.5 video token/feature mismatch in chat templating." + }, + { + "left": "issue:43975", + "right": "issue:46015", + "accept": false, + "reason": "Incorrect detokenization for DeepSeek coder is unrelated to outdated RAG examples." + }, + { + "left": "issue:44841", + "right": "issue:45823", + "accept": false, + "reason": "Processor failure for Voxtral-Mini is not the same bug as Gemma4 PLE device mismatch." + }, + { + "left": "issue:43866", + "right": "issue:46772", + "accept": false, + "reason": "A corrupted checkpoint and NVFP4 compatibility are different underlying problems." + }, + { + "left": "issue:44863", + "right": "issue:46015", + "accept": false, + "reason": "NemotronH checkpoint loading is unrelated to RAG example documentation." + }, + { + "left": "issue:45020", + "right": "issue:46304", + "accept": false, + "reason": "Remote-code model breakage and USE_DISTRIBUTED=0 support are separate broad compatibility issues." + }, + { + "left": "issue:45812", + "right": "issue:45920", + "accept": true, + "reason": "Both report the same underlying AutoTokenizer regression producing wrong token IDs; 45920 is the broader multi-model umbrella." + }, + { + "left": "issue:43872", + "right": "issue:46304", + "accept": false, + "reason": "bitsandbytes constructor incompatibility is unrelated to PyTorch distributed-disabled support." + }, + { + "left": "issue:43866", + "right": "issue:44863", + "accept": false, + "reason": "Checkpoint corruption for Ovis2 is unrelated to NemotronH checkpoint loading." + }, + { + "left": "issue:44292", + "right": "issue:46015", + "accept": false, + "reason": "Qwen-3-8B-NVFP4 execution failure is unrelated to RAG documentation drift." + }, + { + "left": "issue:39290", + "right": "issue:43531", + "accept": false, + "reason": "Both mention sliding_window, but one is a missing config attribute in Gemma3 and the other is a Qwen3-MoE-specific sliding_window issue; not the same concrete bug." + }, + { + "left": "issue:41093", + "right": "issue:43638", + "accept": false, + "reason": "These are both shape/index errors, but the reported symptoms and model/setup contexts differ too much to treat as one bug." + }, + { + "left": "issue:43792", + "right": "issue:45901", + "accept": false, + "reason": "Whisper loading/running failure is unrelated to table-question-answering crashes." + }, + { + "left": "issue:43854", + "right": "issue:43866", + "accept": false, + "reason": "GLM-4.7-Flash load-test failure and Ovis2 checkpoint corruption are different issues." + }, + { + "left": "issue:43425", + "right": "issue:45070", + "accept": false, + "reason": "Torch 2.10 incompatibility is not the same as a PretrainedConfig pydantic-field regression." + }, + { + "left": "issue:43975", + "right": "issue:45901", + "accept": false, + "reason": "Detokenization regression and table-question-answering crash are unrelated." + }, + { + "left": "issue:43596", + "right": "issue:45800", + "accept": false, + "reason": "ZeRO-3/BertModel index error is unrelated to torch 2.4.1 vs transformers 5.8.0 compatibility." + }, + { + "left": "issue:43792", + "right": "issue:45070", + "accept": false, + "reason": "Whisper runtime failure is unrelated to the PretrainedConfig pydantic issue." + }, + { + "left": "issue:45362", + "right": "issue:45464", + "accept": false, + "reason": "Both involve Qwen3.5, but one is a general chat crash and the other is a streaming chat/completions API failure; not the same concrete bug." + }, + { + "left": "issue:44292", + "right": "issue:45901", + "accept": false, + "reason": "Qwen NVFP4 runtime failure is unrelated to table-question-answering crashes." + }, + { + "left": "issue:39290", + "right": "issue:45823", + "accept": false, + "reason": "Gemma3 sliding_window config failure and Gemma4 device-mismatch forward error are different model-specific bugs." + }, + { + "left": "issue:45464", + "right": "issue:45685", + "accept": false, + "reason": "Qwen3.5 streaming API failure is unrelated to the MPS histogram_mps int issue in MoE." + }, + { + "left": "issue:43541", + "right": "issue:45685", + "accept": false, + "reason": "Mixtral grouped_mm tracing failure and MPS histogram_mps limitation are different runtime problems." + }, + { + "left": "issue:36010", + "right": "issue:39290", + "accept": false, + "reason": "GenerationMixin import failure is unrelated to Gemma3 sliding_window_pattern compatibility." + }, + { + "left": "issue:43541", + "right": "issue:43828", + "accept": false, + "reason": "Both are MoE/tracing-related, but the concrete ops and failure modes differ (grouped_mm tracing vs autocast dtype mismatch)." + }, + { + "left": "issue:44841", + "right": "issue:45084", + "accept": false, + "reason": "Processor failure for Voxtral is unrelated to the template-node compilation error." + }, + { + "left": "issue:43404", + "right": "issue:43866", + "accept": false, + "reason": "Untied lm_head weights in Mistral3 are unrelated to Ovis2 checkpoint corruption." + }, + { + "left": "issue:41093", + "right": "issue:41762", + "accept": false, + "reason": "Mask-length mismatch and cudaErrorAssert are not the same underlying bug." + }, + { + "left": "issue:45399", + "right": "issue:46661", + "accept": false, + "reason": "Flash-attn2 fallback gating and remote-code model_class/config_class errors are different issues." + }, + { + "left": "issue:43572", + "right": "issue:45070", + "accept": false, + "reason": "Missing pad_token_idx in StableLmConfig is unrelated to the pydantic PretrainedConfig regression." + }, + { + "left": "issue:45800", + "right": "issue:45823", + "accept": false, + "reason": "Torch/transformers version incompatibility is unrelated to Gemma4 device-mapping mismatch." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the cluster is largely heterogeneous, and the only clearly supported duplicate pair is issue:45812 subsumed by issue:45920. The accepted soft-edge verdict is conservative, and the rejected pairs are mostly justified by distinct model families, failure modes, or issue types." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 3, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:39186", + "issue:40990", + "issue:41093", + "issue:42915", + "issue:43054", + "issue:43366", + "issue:43404", + "issue:43531", + "issue:43541", + "issue:43596", + "issue:43645", + "issue:43716", + "issue:43828", + "issue:43873", + "issue:43975", + "issue:43994", + "issue:44291", + "issue:44292", + "issue:44360", + "issue:44387", + "issue:44479", + "issue:44492", + "issue:44512", + "issue:44530", + "issue:44589", + "issue:44805", + "issue:44863", + "issue:44918", + "issue:44960", + "issue:45005", + "issue:45020", + "issue:45070", + "issue:45161", + "issue:45183", + "issue:45399", + "issue:45464", + "issue:45507", + "issue:45632", + "issue:45698", + "issue:45759", + "issue:45800", + "issue:45902", + "issue:46294", + "issue:46463", + "issue:46489", + "issue:46491", + "issue:46640", + "issue:46661" + ], + "soft_pairs": [ + "issue:44387|issue:45005", + "issue:44805|issue:44918", + "issue:43541|issue:45161", + "issue:43828|issue:45464", + "issue:43366|issue:45464", + "issue:44291|issue:45070", + "issue:43531|issue:45070", + "issue:43541|issue:44589", + "issue:43716|issue:46294", + "issue:45020|issue:45800", + "issue:41093|issue:43596", + "issue:44479|issue:46294", + "issue:43054|issue:43994", + "issue:45759|issue:45902", + "issue:46640|issue:46661", + "issue:43716|issue:44918", + "issue:39186|issue:44918", + "issue:40990|issue:44960", + "issue:43645|issue:45399", + "issue:45632|issue:45698", + "issue:43404|issue:45005", + "issue:42915|issue:45399", + "issue:44530|issue:45005", + "issue:43873|issue:45005", + "issue:44360|issue:44512", + "issue:44863|issue:45005", + "issue:44492|issue:44512", + "issue:44918|issue:45507", + "issue:45183|issue:46463", + "issue:46489|issue:46491", + "issue:43975|issue:44292", + "issue:44292|issue:45507" + ], + "prepared_review_unit_hash": "f9d17105e6d8c91559a980b33515f91b9a5f9fcb7babe2ce7e7bfe4413232ce1", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 37144, + "estimated_input_tokens": 9286, + "estimated_eval_tokens": 18828 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated, model-specific regressions or API issues. The only strong duplicate-looking pair is the Qwen video-input regression (44479/46294); the rest are too semantically different to merge as duplicates.", + "confidence": 0.62, + "canonical_issue_reason": "issue:44479 is the broader, earlier report of the Qwen video-input regression and covers multiple affected models; issue:46294 reads like a narrower instance of the same feature mismatch.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44479 is the best cluster representative because it describes the widest blast radius and the clearest concrete regression.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44387", + "right": "issue:45005", + "accept": false, + "reason": "Both involve v5-era model regressions, but one is int4 quantization OOM and the other is tied-weights behavior in translation models; different bugs." + }, + { + "left": "issue:44805", + "right": "issue:44918", + "accept": false, + "reason": "Both mention IndexError-like failures, but the first is a mask/tensor shape mismatch and the second is a TRL SFT embedding unpacking failure; not the same code path." + }, + { + "left": "issue:43541", + "right": "issue:45161", + "accept": false, + "reason": "Mixtral torch-dynamo grouped_mm tracing error vs GPT-OSS tensor-parallel support issue; different models and failure mechanisms." + }, + { + "left": "issue:43828", + "right": "issue:45464", + "accept": false, + "reason": "Autocast dtype mismatch in Phi-tiny-MoE is unrelated to Qwen3.5 streaming chat/completions failure." + }, + { + "left": "issue:43366", + "right": "issue:45464", + "accept": false, + "reason": "GGUF architecture support for gpt-oss and Qwen3.5 streaming inference are different problems." + }, + { + "left": "issue:44291", + "right": "issue:45070", + "accept": false, + "reason": "init_empty_weights unexpected argument error and a pydantic PretrainedConfig field regression are separate compatibility issues." + }, + { + "left": "issue:43531", + "right": "issue:45070", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and pydantic model-field breakage do not share the same bug." + }, + { + "left": "issue:43541", + "right": "issue:44589", + "accept": false, + "reason": "Grouped_mm tracing failure and missing Float8 storage are different runtime errors in different code paths." + }, + { + "left": "issue:43716", + "right": "issue:46294", + "accept": false, + "reason": "Mistral-3 image-preprocessor dtype mismatch is a different modality and failure mode from Qwen3.5 video token/feature mismatch." + }, + { + "left": "issue:45020", + "right": "issue:45800", + "accept": false, + "reason": "Remote-code breakage and torch/transformers version incompatibility are related only at a high level, not the same underlying bug." + }, + { + "left": "issue:41093", + "right": "issue:43596", + "accept": false, + "reason": "Both are index errors, but one is a mask-shape mismatch while the other is a zero3/BertModel initialization issue." + }, + { + "left": "issue:44479", + "right": "issue:46294", + "accept": true, + "reason": "Both report the same Qwen video-input regression: video features and video tokens get out of sync, causing failure in chat template/inference." + }, + { + "left": "issue:43054", + "right": "issue:43994", + "accept": false, + "reason": "Siglip2 embedding quality regression and a nonsensical pipeline output report are too broad and not clearly the same defect." + }, + { + "left": "issue:45759", + "right": "issue:45902", + "accept": false, + "reason": "Composite-config from_config handling and uninitialized-memory in rotary embedding are distinct issues." + }, + { + "left": "issue:46640", + "right": "issue:46661", + "accept": false, + "reason": "Flash Attention 2 issue and remote-code model_class/config_class AttributeError are unrelated." + }, + { + "left": "issue:43716", + "right": "issue:44918", + "accept": false, + "reason": "Image-preprocessor dtype mismatch and TRL SFT trainer unpacking failure are different errors." + }, + { + "left": "issue:39186", + "right": "issue:44918", + "accept": false, + "reason": "FSDP 2-D weight constraint error is unrelated to Qwen3.5 embedding unpacking in TRL." + }, + { + "left": "issue:40990", + "right": "issue:44960", + "accept": false, + "reason": "High perplexity on gpt-oss-20b and the GLM5 issue are different model-specific reports." + }, + { + "left": "issue:43645", + "right": "issue:45399", + "accept": false, + "reason": "Jupyter custom-model initialization breakage is unrelated to flash-attn fallback gating." + }, + { + "left": "issue:45632", + "right": "issue:45698", + "accept": false, + "reason": "Both involve remote_code/custom-module loading, but one is a leaf-directory cache collision and the other is wrong module selection after save_pretrained; not clearly one bug." + }, + { + "left": "issue:43404", + "right": "issue:45005", + "accept": false, + "reason": "Mistral3 tied lm_head weights and translation-model tied-weight issues are different model families and code paths." + }, + { + "left": "issue:42915", + "right": "issue:45399", + "accept": false, + "reason": "FineGrainedFP8Config failure in Qwen3Moe and flash-attn fallback blocking are unrelated." + }, + { + "left": "issue:44530", + "right": "issue:45005", + "accept": false, + "reason": "PagedAttentionCache linear_attention crash and tied-weights translation regression are not the same underlying defect." + }, + { + "left": "issue:43873", + "right": "issue:45005", + "accept": false, + "reason": "Quantization/offloading memory behavior and tied-weight translation regressions are distinct." + }, + { + "left": "issue:44360", + "right": "issue:44512", + "accept": false, + "reason": "DSA indexer discussion and docs mentioning removed run command are unrelated." + }, + { + "left": "issue:44863", + "right": "issue:45005", + "accept": false, + "reason": "NemotronH checkpoint loading failure and translation-model tied weights are separate bugs." + }, + { + "left": "issue:44492", + "right": "issue:44512", + "accept": false, + "reason": "A cache-strategy typo and stale docs about a removed command are documentation issues, not the same change." + }, + { + "left": "issue:44918", + "right": "issue:45507", + "accept": false, + "reason": "Qwen3.5 embedding/trainer failure and GraniteMoEHybrid invalid method calls are unrelated." + }, + { + "left": "issue:45183", + "right": "issue:46463", + "accept": false, + "reason": "Generic XOR validation messaging across models is not the same as T5 decoder-input validation." + }, + { + "left": "issue:46489", + "right": "issue:46491", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different model families and the reports do not clearly point to one shared code path." + }, + { + "left": "issue:43975", + "right": "issue:44292", + "accept": false, + "reason": "DeepSeek-Coder detokenization regression and Qwen-3-8B-NVFP4 runtime failure are unrelated." + }, + { + "left": "issue:44292", + "right": "issue:45507", + "accept": false, + "reason": "Qwen-3-8B-NVFP4 runtime error and GraniteMoEHybrid invalid method are different model-specific failures." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet, and the soft-edge calls stay conservative. The 44479/46294 duplicate-looking pair is supported by the titles and chronology, with 44479 clearly the broader earlier report. No PR-mergeability issue applies here since these are issues, not pull requests." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 4, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:24643", + "issue:28530", + "issue:36331", + "issue:38175", + "issue:39692", + "issue:41553", + "issue:41762", + "issue:42491", + "issue:42915", + "issue:42947", + "issue:43054", + "issue:43493", + "issue:43643", + "issue:43644", + "issue:43782", + "issue:43824", + "issue:43828", + "issue:43856", + "issue:43872", + "issue:43881", + "issue:43883", + "issue:43950", + "issue:43975", + "issue:44368", + "issue:44387", + "issue:44403", + "issue:44451", + "issue:44488", + "issue:44534", + "issue:44589", + "issue:44661", + "issue:44910", + "issue:44928", + "issue:44960", + "issue:44991", + "issue:45020", + "issue:45081", + "issue:45356", + "issue:45399", + "issue:45520", + "issue:45663", + "issue:45685", + "issue:45701", + "issue:45823", + "issue:45859", + "issue:45902", + "issue:45920", + "issue:46489" + ], + "soft_pairs": [ + "issue:43950|issue:44534", + "issue:39692|issue:43054", + "issue:43644|issue:43950", + "issue:36331|issue:41762", + "issue:43872|issue:44589", + "issue:43828|issue:44928", + "issue:45920|issue:46489", + "issue:43054|issue:45701", + "issue:38175|issue:43054", + "issue:43950|issue:45902", + "issue:41553|issue:43883", + "issue:44910|issue:45859", + "issue:43054|issue:43493", + "issue:42947|issue:44387", + "issue:45663|issue:45902", + "issue:41553|issue:43881", + "issue:44403|issue:44451", + "issue:43975|issue:45520", + "issue:44403|issue:44488", + "issue:24643|issue:28530", + "issue:42947|issue:43856", + "issue:43643|issue:45020", + "issue:41762|issue:42915", + "issue:44991|issue:45399", + "issue:43824|issue:43872", + "issue:45685|issue:45823", + "issue:43782|issue:44960", + "issue:43881|issue:43883", + "issue:45020|issue:45823", + "issue:45081|issue:45399", + "issue:44661|issue:45020", + "issue:43828|issue:45823", + "issue:42491|issue:44368", + "issue:45020|issue:45356" + ], + "prepared_review_unit_hash": "15552a0a5ffdd6876565910e3dcdc785ae919c54ea18909d0802c53a426e5057", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 38207, + "estimated_input_tokens": 9552, + "estimated_eval_tokens": 19360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous. The only clear duplicate family is the Transformers v5 non-persistent-buffer regression: 43950, 44534, and 43644 are the same underlying loading bug. Issue 45902 is related in theme, but the evidence here only supports it as an adjacent rotary-embedding/uninitialized-memory manifestation, not a clean duplicate.", + "confidence": 0.81, + "canonical_issue_reason": "Issue 43950 is the best canonical issue because it states the broadest version of the non-persistent-buffer regression (`from_pretrained` corrupting `register_buffer(persistent=False)` state), and it clearly subsumes the direct duplicates 44534 and 43644; 45902 is related but not safely the same bug from the provided evidence.", + "canonical_pr_reason": null, + "best_issue_reason": "43950 is the strongest representative of the duplicate set: it captures the underlying v5 buffer-corruption regression most generally and matches the clearest duplicate reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43950", + "right": "issue:44534", + "accept": true, + "reason": "Same bug: both report v5 corruption of non-persistent buffers during model loading / `from_pretrained`." + }, + { + "left": "issue:39692", + "right": "issue:43054", + "accept": false, + "reason": "Both involve SigLIP2, but one is a docs/example breakage and the other is a model quality complaint; not the same defect." + }, + { + "left": "issue:43644", + "right": "issue:43950", + "accept": true, + "reason": "Same underlying regression: non-persistent buffers are being filled with junk/corrupted during loading." + }, + { + "left": "issue:36331", + "right": "issue:41762", + "accept": false, + "reason": "Different failures: unexpected `num_items_in_batch` kwarg vs DeepSpeed ZeRO-3 loading `IndexError`." + }, + { + "left": "issue:43872", + "right": "issue:44589", + "accept": false, + "reason": "Both are quantization/loading related, but the bitsandbytes constructor error and missing Float8 storage error are distinct bugs." + }, + { + "left": "issue:43828", + "right": "issue:44928", + "accept": false, + "reason": "Different code paths and symptoms: autocast dtype mismatch vs RLHF NaN/gradient explosion from 3D `position_ids` and SDPA fallback." + }, + { + "left": "issue:45920", + "right": "issue:46489", + "accept": false, + "reason": "Both are tokenizer regressions, but 46489 is a specific DeepSeek-Coder gap while 45920 is a broader multi-model token-id issue." + }, + { + "left": "issue:43054", + "right": "issue:45701", + "accept": false, + "reason": "Same broad area, but a SigLIP2 embedding-quality complaint is not the same as a generic tokenization-change regression." + }, + { + "left": "issue:38175", + "right": "issue:43054", + "accept": false, + "reason": "Related SigLIP2 reports, but zero probabilities and worse text embeddings are different symptoms with no clear shared bug." + }, + { + "left": "issue:43950", + "right": "issue:45902", + "accept": false, + "reason": "Related theme, but 45902 is specifically about `inv_freq` uninitialized memory after `meta -> to_empty(cuda)` materialization; the evidence does not show it is the same bug as the non-persistent-buffer corruption regression." + }, + { + "left": "issue:41553", + "right": "issue:43883", + "accept": false, + "reason": "Different models and failures: bad AutoTokenizer error messaging vs missing `all_tied_weights_keys` on MolmoForCausalLM." + }, + { + "left": "issue:44910", + "right": "issue:45859", + "accept": false, + "reason": "Flash-Attention packed-sequence crash and CPU-offload rotary-embedding incompatibility are distinct problems." + }, + { + "left": "issue:43054", + "right": "issue:43493", + "accept": false, + "reason": "Both concern SigLIP2, but one is an output-quality complaint and the other is an HF-vs-JAX discrepancy; not clearly the same bug." + }, + { + "left": "issue:42947", + "right": "issue:44387", + "accept": false, + "reason": "Both are memory-related, but gradient checkpointing ineffectiveness and increased reserved CUDA memory under int4 quantization are different defects." + }, + { + "left": "issue:45663", + "right": "issue:45902", + "accept": false, + "reason": "Different root causes: Gemma-4 FSDP2 attention `KeyError` vs Qwen3_5Moe uninitialized `inv_freq` after materialization." + }, + { + "left": "issue:41553", + "right": "issue:43881", + "accept": false, + "reason": "Different models and symptoms: Voxtral tokenizer error messaging vs GLM-4V loading failure." + }, + { + "left": "issue:44403", + "right": "issue:44451", + "accept": false, + "reason": "Generic load-time noise vs a specific model loading failure; not the same issue." + }, + { + "left": "issue:43975", + "right": "issue:45520", + "accept": false, + "reason": "Tokenizer detokenization regression vs Python 3.13 `flash_attn` import error; unrelated." + }, + { + "left": "issue:44403", + "right": "issue:44488", + "accept": false, + "reason": "One is noisy loading output, the other is inability to load a specific model; different bugs." + }, + { + "left": "issue:24643", + "right": "issue:28530", + "accept": false, + "reason": "DeepSpeed training shape error vs early-stopping metric lookup; unrelated training-time issues." + }, + { + "left": "issue:42947", + "right": "issue:43856", + "accept": false, + "reason": "Both mention memory, but the underlying mechanisms and affected behavior are different." + }, + { + "left": "issue:43643", + "right": "issue:45020", + "accept": false, + "reason": "Related remote-code breakage, but the reports are too broad and not the same concrete bug." + }, + { + "left": "issue:41762", + "right": "issue:42915", + "accept": false, + "reason": "Different loading paths and errors: ZeRO-3 index error vs FineGrainedFP8Config failure." + }, + { + "left": "issue:44991", + "right": "issue:45399", + "accept": false, + "reason": "Tokenizer loading regression vs flash-attn fallback gating; no shared underlying defect." + }, + { + "left": "issue:43824", + "right": "issue:43872", + "accept": false, + "reason": "Importing a missing model class and bitsandbytes `Int8Params` incompatibility are separate issues." + }, + { + "left": "issue:45685", + "right": "issue:45823", + "accept": false, + "reason": "MPS histogram op error vs Gemma4 device-map mismatch; unrelated platform/model problems." + }, + { + "left": "issue:43782", + "right": "issue:44960", + "accept": false, + "reason": "Qwen3VL `weight_only=True` load failure and a GLM5-specific issue are not the same bug." + }, + { + "left": "issue:43881", + "right": "issue:43883", + "accept": false, + "reason": "Both are model-loading failures, but the specific failures are different and do not appear mergeable." + }, + { + "left": "issue:45020", + "right": "issue:45823", + "accept": false, + "reason": "Broad remote-code loading breakage vs Gemma4 device-map mismatch; different problem categories." + }, + { + "left": "issue:45081", + "right": "issue:45399", + "accept": false, + "reason": "Mistral regex patch crash vs flash-attn fallback gating; unrelated code paths." + }, + { + "left": "issue:44661", + "right": "issue:45020", + "accept": false, + "reason": "Tokenizer-mapping edge case vs broad remote-code regression; not the same concrete bug." + }, + { + "left": "issue:43828", + "right": "issue:45823", + "accept": false, + "reason": "Different model/runtime issues: autocast dtype mismatch vs PLE device mismatch." + }, + { + "left": "issue:42491", + "right": "issue:44368", + "accept": false, + "reason": "LoRA compatibility regression across versions vs a tied-embeddings warning; too different to merge." + }, + { + "left": "issue:45020", + "right": "issue:45356", + "accept": false, + "reason": "Remote-code loading breakage vs Kimi-K2.5 tokenizer codec regression and warning mismatch; not the same issue." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly conservative, but it overstates the evidence for grouping issue 45902 with 43950/44534. In the packet, 43950 and 44534 clearly match on the non-persistent-buffer / `from_pretrained` regression, but 45902 is only titled as an `inv_freq` uninitialized-memory issue after `meta -> to_empty(cuda)` materialization; that is related at a high level, but not clearly the same bug from the provided evidence. Because the canonical/soft-edge claims treat 45902 as a clean duplicate, I would not accept this cluster judgment as written." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 5, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:24643", + "issue:30064", + "issue:36331", + "issue:41093", + "issue:41553", + "issue:42915", + "issue:42947", + "issue:43257", + "issue:43366", + "issue:43404", + "issue:43531", + "issue:43596", + "issue:43638", + "issue:43792", + "issue:43827", + "issue:43828", + "issue:43854", + "issue:43872", + "issue:43940", + "issue:43950", + "issue:44220", + "issue:44291", + "issue:44479", + "issue:44488", + "issue:44509", + "issue:44530", + "issue:44560", + "issue:44805", + "issue:44863", + "issue:44928", + "issue:44991", + "issue:45020", + "issue:45305", + "issue:45313", + "issue:45325", + "issue:45488", + "issue:45588", + "issue:45663", + "issue:45715", + "issue:45759", + "issue:45823", + "issue:45902", + "issue:45923", + "issue:46315", + "issue:46402", + "issue:46489", + "issue:46515", + "issue:46661" + ], + "soft_pairs": [ + "issue:45715|issue:46315", + "issue:43827|issue:44509", + "issue:45488|issue:46489", + "issue:45759|issue:46661", + "issue:43872|issue:44291", + "issue:43404|issue:43950", + "issue:42915|issue:43872", + "issue:45020|issue:46661", + "issue:43792|issue:44220", + "issue:43257|issue:45305", + "issue:41553|issue:44991", + "issue:42947|issue:45923", + "issue:36331|issue:41093", + "issue:43940|issue:45313", + "issue:43854|issue:44863", + "issue:44928|issue:45588", + "issue:44479|issue:44560", + "issue:41553|issue:44488", + "issue:41093|issue:44805", + "issue:24643|issue:30064", + "issue:44530|issue:44863", + "issue:44863|issue:46402", + "issue:43366|issue:43828", + "issue:43596|issue:46515", + "issue:43366|issue:43531", + "issue:45325|issue:45902", + "issue:43638|issue:46515", + "issue:45663|issue:45823" + ], + "prepared_review_unit_hash": "4e8f99064869462af24393e265295205c1888c5b29221c1b3e5d7c373a911eda", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36633, + "estimated_input_tokens": 9159, + "estimated_eval_tokens": 18574 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a mixed cluster of unrelated model-loading/tokenizer regressions, with a few true duplicates: docs about removed pipeline tasks, the `_is_hf_initialized` init-empty-weights incompatibility, the mask-shape IndexError, and likely the remote-code and Qwen video regressions. Most other pairs are only loosely similar and should stay separate.", + "confidence": 0.62, + "canonical_issue_reason": "Issue 45020 is the broadest umbrella in the set: it captures the general recent-v5 remote-code loading regression that can plausibly subsume concrete follow-ups like 46661.", + "canonical_pr_reason": null, + "best_issue_reason": "45020 is the best global representative because it is the most general and central loading-regression report among the issues shown.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45715", + "right": "issue:46315", + "accept": false, + "reason": "Both are tokenizer performance regressions, but one is about skip_special_tokens per-item lookup and the other about convert_tokens_to_ids with many added tokens; different code paths." + }, + { + "left": "issue:43827", + "right": "issue:44509", + "accept": true, + "reason": "Same docs issue: both report stale pipeline task references after v5 removals, just phrased with different examples." + }, + { + "left": "issue:45488", + "right": "issue:46489", + "accept": false, + "reason": "Both involve DeepSeek tokenizers, but one is a LlamaTokenizer pre-tokenizer override bug and the other is a DeepSeek-Coder v1 output regression; not clearly the same fix." + }, + { + "left": "issue:45759", + "right": "issue:46661", + "accept": false, + "reason": "Both touch AutoModel / multimodal loading, but one is from_config text_config unwrapping and the other is remote-code config_class handling; different bugs." + }, + { + "left": "issue:43872", + "right": "issue:44291", + "accept": true, + "reason": "Same `_is_hf_initialized` compatibility regression during loading/init_empty_weights; 44291 is the broader form of the same failure." + }, + { + "left": "issue:43404", + "right": "issue:43950", + "accept": false, + "reason": "These are different regression types: untied lm_head weights vs silent corruption of non-persistent buffers." + }, + { + "left": "issue:42915", + "right": "issue:43872", + "accept": false, + "reason": "Different failures: Qwen3Moe FineGrainedFP8Config load path vs bitsandbytes `_is_hf_initialized` constructor incompatibility." + }, + { + "left": "issue:45020", + "right": "issue:46661", + "accept": true, + "reason": "Same remote-code model-loading regression in recent transformers; 46661 is a concrete manifestation of the broader breakage described by 45020." + }, + { + "left": "issue:43792", + "right": "issue:44220", + "accept": false, + "reason": "Both are audio/Whisper-related, but the titles point to different problems and no clear shared root cause." + }, + { + "left": "issue:43257", + "right": "issue:45305", + "accept": false, + "reason": "Both involve DeepSpeed, but one is weight conversion/loading and the other is gradient averaging with model_accepts_loss_kwargs; distinct code paths." + }, + { + "left": "issue:41553", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer-loading problems, but one is a bad error message for Voxtral and the other is a hard tokenizer failure for a different model." + }, + { + "left": "issue:42947", + "right": "issue:45923", + "accept": false, + "reason": "Both mention gradient checkpointing, but one is a PEFT/LoRA effectiveness bug and the other is a missing flag on a trust_remote_code model." + }, + { + "left": "issue:36331", + "right": "issue:41093", + "accept": false, + "reason": "Unrelated symptoms: unexpected compute_loss kwarg vs mask/tensor shape mismatch." + }, + { + "left": "issue:43940", + "right": "issue:45313", + "accept": false, + "reason": "Both are ZeRO-3 Qwen weight-loading failures, but the model variants and missing-weight patterns differ enough that this is too broad to merge." + }, + { + "left": "issue:43854", + "right": "issue:44863", + "accept": false, + "reason": "Different model-loading failures for different model families; only the broad theme overlaps." + }, + { + "left": "issue:44928", + "right": "issue:45588", + "accept": false, + "reason": "Different runtime failures: RLHF/SDPA BF16 gradient explosion vs flash_attention sink-less AttributeError." + }, + { + "left": "issue:44479", + "right": "issue:44560", + "accept": true, + "reason": "Same v5.3.0 Qwen video-input regression family; 44560 looks like a specific model manifestation of the broader bug in 44479." + }, + { + "left": "issue:41553", + "right": "issue:44488", + "accept": false, + "reason": "Different tokenizer/loading complaints for different models; one is Voxtral error messaging, the other is a separate model load failure." + }, + { + "left": "issue:41093", + "right": "issue:44805", + "accept": true, + "reason": "Same mask-shape IndexError symptom with the same underlying indexed-tensor mismatch; the titles are effectively the same bug." + }, + { + "left": "issue:24643", + "right": "issue:30064", + "accept": false, + "reason": "Completely different areas: DeepSpeed training weight-shape error vs image processor void segmentation maps." + }, + { + "left": "issue:44530", + "right": "issue:44863", + "accept": false, + "reason": "Different model-family issues: PagedAttentionCache/linear_attention vs NemotronH checkpoint loading." + }, + { + "left": "issue:44863", + "right": "issue:46402", + "accept": false, + "reason": "Both are model-loading failures, but for different architectures and different root causes." + }, + { + "left": "issue:43366", + "right": "issue:43828", + "accept": false, + "reason": "Unrelated: GGUF gpt-oss support vs a torch.autocast dtype mismatch in Phi-tiny-MoE." + }, + { + "left": "issue:43596", + "right": "issue:46515", + "accept": false, + "reason": "Different problems: ZeRO-3 index-out-of-bounds during Bert init vs a torch version incompatibility." + }, + { + "left": "issue:43366", + "right": "issue:43531", + "accept": false, + "reason": "Different issues in different subsystems; only the Qwen-related naming overlaps." + }, + { + "left": "issue:45325", + "right": "issue:45902", + "accept": false, + "reason": "Different low-level bugs: video rope-index scaling vs uninitialized rotary embedding memory after meta-to-empty materialization." + }, + { + "left": "issue:43638", + "right": "issue:46515", + "accept": false, + "reason": "Different symptoms and causes: non-pretrained Bert ZeRO-3 init failure vs torch compatibility issue." + }, + { + "left": "issue:45663", + "right": "issue:45823", + "accept": false, + "reason": "Both involve Gemma4, but one is an FSDP2 shared_kv_states bug and the other is a device_map auto placement mismatch." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays mostly conservative. The accepted soft edges are plausible from the titles alone, especially the near-identical docs issue, the `_is_hf_initialized` regression, the mask-shape IndexError, and the Qwen video regression family. The remote-code pairing is a bit broader, but the wording is still hedged enough to avoid overstatement." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 6, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:36010", + "issue:38175", + "issue:39692", + "issue:41720", + "issue:42491", + "issue:42617", + "issue:42915", + "issue:43317", + "issue:43366", + "issue:43550", + "issue:43596", + "issue:43632", + "issue:43638", + "issue:43644", + "issue:43645", + "issue:43646", + "issue:43716", + "issue:43720", + "issue:43824", + "issue:43950", + "issue:43957", + "issue:43994", + "issue:44155", + "issue:44451", + "issue:44488", + "issue:44534", + "issue:44560", + "issue:44589", + "issue:44661", + "issue:44683", + "issue:44756", + "issue:44805", + "issue:44877", + "issue:44910", + "issue:44918", + "issue:44960", + "issue:44977", + "issue:45030", + "issue:45276", + "issue:45584", + "issue:45685", + "issue:45812", + "issue:45823", + "issue:45834", + "issue:46459", + "issue:46489", + "issue:46512", + "issue:46515" + ], + "soft_pairs": [ + "issue:43366|issue:44589", + "issue:43716|issue:44560", + "issue:44155|issue:45584", + "issue:43824|issue:43957", + "issue:43950|issue:45834", + "issue:42915|issue:43957", + "issue:44560|issue:45685", + "issue:43645|issue:43646", + "issue:44560|issue:44918", + "issue:43550|issue:44910", + "issue:44683|issue:46515", + "issue:42617|issue:43366", + "issue:36010|issue:42915", + "issue:45812|issue:46489", + "issue:45823|issue:46515", + "issue:44661|issue:45823", + "issue:44560|issue:44805", + "issue:38175|issue:43994", + "issue:43632|issue:45834", + "issue:44877|issue:45030", + "issue:43638|issue:44661", + "issue:43596|issue:44661", + "issue:43317|issue:44756", + "issue:44661|issue:44805", + "issue:42491|issue:43720", + "issue:43644|issue:44534", + "issue:38175|issue:39692", + "issue:41720|issue:42915", + "issue:42915|issue:44756", + "issue:42491|issue:45276", + "issue:44451|issue:44488", + "issue:44960|issue:44977", + "issue:46459|issue:46512" + ], + "prepared_review_unit_hash": "1d8003db621f98c5ac014557adbecc296e880ad417d1909dd48e05341db00004", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 37477, + "estimated_input_tokens": 9370, + "estimated_eval_tokens": 18996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of distinct Transformers regressions, with only a couple of clear duplicate pairs. The strongest duplicate theme is the v5 non-persistent-buffer corruption bug; most other pairs are related only by broad subsystem or model family.", + "confidence": 0.79, + "canonical_issue_reason": "Issue 43950 is the clearest, most general statement of the shared v5 buffer-corruption regression, and it subsumes the near-duplicate symptom in 43644/44534.", + "canonical_pr_reason": null, + "best_issue_reason": "43950 is the best representative issue because it names the concrete failure mode (`from_pretrained()` corrupting non-persistent buffers) and the regression scope, making it the most useful canonical reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43366", + "right": "issue:44589", + "accept": false, + "reason": "Different problems: GGUF architecture support vs a Float8 storage lookup error." + }, + { + "left": "issue:43716", + "right": "issue:44560", + "accept": false, + "reason": "Both are multimodal, but they hit unrelated paths: image preprocessing dtype mismatch vs video embedding StopIteration." + }, + { + "left": "issue:44155", + "right": "issue:45584", + "accept": false, + "reason": "Distinct bugs: AudioFlamingo3 batched track leakage vs Whisper empty-transcription handling after token alignment." + }, + { + "left": "issue:43824", + "right": "issue:43957", + "accept": false, + "reason": "Import/export breakage for a specific class is not the same as meta-device loading failures across models." + }, + { + "left": "issue:43950", + "right": "issue:45834", + "accept": false, + "reason": "Non-persistent-buffer corruption is unrelated to Kosmos2.5 long-input index errors." + }, + { + "left": "issue:42915", + "right": "issue:43957", + "accept": false, + "reason": "Qwen3Moe FP8 loading failure and meta-device loading failure are different code paths and symptoms." + }, + { + "left": "issue:44560", + "right": "issue:45685", + "accept": false, + "reason": "Video StopIteration and an MPS histogram-not-implemented error are unrelated." + }, + { + "left": "issue:43645", + "right": "issue:43646", + "accept": true, + "reason": "Same underlying regression: Transformers v5 breaks custom model initialization, with 43645 just adding the Jupyter/notebook context." + }, + { + "left": "issue:44560", + "right": "issue:44918", + "accept": false, + "reason": "Different Qwen3-related failures: video embedding loading vs TRL SFT unpacking." + }, + { + "left": "issue:43550", + "right": "issue:44910", + "accept": false, + "reason": "Separate attention-path bugs: SDPA/torch.compile on Bamba vs flash-attention position_ids handling on Qwen3.5." + }, + { + "left": "issue:44683", + "right": "issue:46515", + "accept": false, + "reason": "Generic torch-version incompatibility is too broad; these are not the same concrete flex_attention bug." + }, + { + "left": "issue:42617", + "right": "issue:43366", + "accept": false, + "reason": "3d_parallel execution failure is unrelated to GGUF gpt-oss model support." + }, + { + "left": "issue:36010", + "right": "issue:42915", + "accept": false, + "reason": "An import-path break for GenerationMixin is unrelated to Qwen3Moe FP8 loading." + }, + { + "left": "issue:45812", + "right": "issue:46489", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different model families and likely different tokenizer code paths." + }, + { + "left": "issue:45823", + "right": "issue:46515", + "accept": false, + "reason": "Gemma4 device-mapping mismatch is unrelated to a torch 2.4.1 compatibility complaint." + }, + { + "left": "issue:44661", + "right": "issue:45823", + "accept": false, + "reason": "Model-type registration logic and Gemma4 forward device placement are different bugs." + }, + { + "left": "issue:44560", + "right": "issue:44805", + "accept": false, + "reason": "Different failure modes: Qwen3-vl StopIteration vs mask/tensor shape mismatch." + }, + { + "left": "issue:38175", + "right": "issue:43994", + "accept": false, + "reason": "Same model family, but the reports describe different symptoms and likely different inference paths; not enough to treat as one bug." + }, + { + "left": "issue:43632", + "right": "issue:45834", + "accept": false, + "reason": "_is_hf_initialized flag breakage is unrelated to Kosmos2.5 OCR index errors." + }, + { + "left": "issue:44877", + "right": "issue:45030", + "accept": false, + "reason": "Both involve config validation, but on different models and likely different missing fields/constraints." + }, + { + "left": "issue:43638", + "right": "issue:44661", + "accept": false, + "reason": "Zero3/Bert initialization failure is unrelated to add-new-model-like/tokenizer mapping behavior." + }, + { + "left": "issue:43596", + "right": "issue:44661", + "accept": false, + "reason": "Another Zero3/Bert loading bug, not the same as tokenizer mapping registration." + }, + { + "left": "issue:43317", + "right": "issue:44756", + "accept": false, + "reason": "Device-map offload loading and Strix Halo mmap OOM are distinct memory/loading issues." + }, + { + "left": "issue:42491", + "right": "issue:43720", + "accept": false, + "reason": "LoRA compatibility across hf versions and BitNet packed-weight loading are different problems." + }, + { + "left": "issue:43644", + "right": "issue:44534", + "accept": true, + "reason": "Clear duplicate: both describe the same v5 regression where non-persistent buffers get filled with junk during loading." + }, + { + "left": "issue:38175", + "right": "issue:39692", + "accept": false, + "reason": "SigLIP2 bad outputs and a SigLIP2 docs example with model/processor mismatch plus quantization failure are not the same bug." + }, + { + "left": "issue:41720", + "right": "issue:42915", + "accept": false, + "reason": "Both mention Qwen3, but one is auto device-mapping cuda asserts and the other is FineGrainedFP8Config failure." + }, + { + "left": "issue:42915", + "right": "issue:44756", + "accept": false, + "reason": "Qwen3Moe FP8 failure is unrelated to mmap/OOM behavior on Strix Halo." + }, + { + "left": "issue:42491", + "right": "issue:45276", + "accept": false, + "reason": "LoRA hf4.x/hf5.x incompatibility is unrelated to Gemma4 resize_token_embeddings behavior." + }, + { + "left": "issue:44451", + "right": "issue:44488", + "accept": false, + "reason": "Both fail to load BERT models, but the reports name different models and no shared concrete root cause is evident." + }, + { + "left": "issue:44960", + "right": "issue:44977", + "accept": false, + "reason": "GLM5 is unrelated to Qwen3.5 flash-attention generation failures." + }, + { + "left": "issue:46459", + "right": "issue:46512", + "accept": false, + "reason": "dtype being ignored in multimodal checkpoint loading is a different code path from from_config leaving model.config.dtype stale." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The canonical issue choice and summary are grounded in the packet, and the soft-edge decisions stay conservative overall. The duplicate 43644/44534 and the broader 43950 theme are well-supported by the titles, and the rejected pairs are mostly distinct enough to justify false." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 7, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:36010", + "issue:39404", + "issue:39692", + "issue:41720", + "issue:42491", + "issue:42947", + "issue:43257", + "issue:43404", + "issue:43425", + "issue:43454", + "issue:43644", + "issue:43645", + "issue:43708", + "issue:43854", + "issue:43856", + "issue:43873", + "issue:43931", + "issue:43957", + "issue:43994", + "issue:44075", + "issue:44155", + "issue:44164", + "issue:44291", + "issue:44387", + "issue:44402", + "issue:44488", + "issue:44756", + "issue:44910", + "issue:44960", + "issue:44991", + "issue:45276", + "issue:45292", + "issue:45313", + "issue:45335", + "issue:45357", + "issue:45362", + "issue:45406", + "issue:45488", + "issue:45507", + "issue:45588", + "issue:45663", + "issue:45704", + "issue:45759", + "issue:45812", + "issue:45859", + "issue:46050", + "issue:46468" + ], + "soft_pairs": [ + "issue:45507|issue:46468", + "issue:45313|issue:45357", + "issue:43644|issue:43645", + "issue:44488|issue:44991", + "issue:43856|issue:43873", + "issue:43856|issue:44387", + "issue:39692|issue:43994", + "issue:42491|issue:45292", + "issue:43257|issue:43854", + "issue:43708|issue:44075", + "issue:43854|issue:43931", + "issue:42491|issue:43931", + "issue:44960|issue:46050", + "issue:44164|issue:44291", + "issue:45488|issue:45812", + "issue:45362|issue:45406", + "issue:45276|issue:45335", + "issue:44910|issue:45588", + "issue:44402|issue:44488", + "issue:43425|issue:43957", + "issue:43873|issue:44387", + "issue:39692|issue:44960", + "issue:42947|issue:45704", + "issue:41720|issue:44155", + "issue:45663|issue:45759", + "issue:43404|issue:43454", + "issue:44291|issue:44756", + "issue:36010|issue:39404", + "issue:45663|issue:45859", + "issue:44387|issue:44756" + ], + "prepared_review_unit_hash": "d7022c032ffbe30c585eb07d21ef3757727e14195988396e64e687665e66e4f2", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 36208, + "estimated_input_tokens": 9052, + "estimated_eval_tokens": 18360 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated model-specific Transformer regressions. The only clear duplicate-style pairs are the resize_token_embeddings propagation bug and the untied lm_head bug in multimodal generation models.", + "confidence": 0.79, + "canonical_issue_reason": "issue:45292 is the best umbrella representative: it states the resize_token_embeddings bug in the most general form, making it a better canonical anchor than the model-specific variants.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45292 is the most reusable issue to keep open as canonical because it is concise, generic, and subsumes the more specific resize_token_embeddings reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45507", + "right": "issue:46468", + "accept": false, + "reason": "Different models and failures; one is GraniteMoEHybrid invalid method calls, the other is a Nemotron example breakage." + }, + { + "left": "issue:45313", + "right": "issue:45357", + "accept": false, + "reason": "Both are Qwen3.5-related, but one is ZeRO-3 loading of language_model weights and the other is save_pretrained writing wrong visual encoder keys." + }, + { + "left": "issue:43644", + "right": "issue:43645", + "accept": false, + "reason": "Unrelated Transformers 5 regressions: junk-filled non-persistent buffers versus Jupyter custom model initialization." + }, + { + "left": "issue:44488", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer/model-loading complaints, but they involve different models and different failure modes." + }, + { + "left": "issue:43856", + "right": "issue:43873", + "accept": false, + "reason": "Different memory/offload problems; Qwen3 MoE training memory use is not the same as quantization offloading behavior." + }, + { + "left": "issue:43856", + "right": "issue:44387", + "accept": false, + "reason": "Both mention memory, but one is training-time inefficiency and the other is int4 quantization reserved-memory OOM." + }, + { + "left": "issue:39692", + "right": "issue:43994", + "accept": false, + "reason": "Same family, but one is a docs example with multiple errors and the other is wrong inference results in AutoModel/pipeline." + }, + { + "left": "issue:42491", + "right": "issue:45292", + "accept": false, + "reason": "Different bugs: qwen3_moe LoRA compatibility across branches versus resize_token_embeddings not updating outputs." + }, + { + "left": "issue:43257", + "right": "issue:43854", + "accept": false, + "reason": "Different models and code paths; one is Qwen3 MoE weight conversion with accelerate/deepspeed, the other is GLM-4.7-Flash loading in tests." + }, + { + "left": "issue:43708", + "right": "issue:44075", + "accept": false, + "reason": "Trainer checkpoint-resume step calculation is unrelated to SGD optimizer arguments being ignored." + }, + { + "left": "issue:43854", + "right": "issue:43931", + "accept": false, + "reason": "Different load failures affecting different models; no shared underlying bug is evident." + }, + { + "left": "issue:42491", + "right": "issue:43931", + "accept": false, + "reason": "Qwen3 MoE LoRA branch compatibility is unrelated to Qwen3-VL weight shape mismatch." + }, + { + "left": "issue:44960", + "right": "issue:46050", + "accept": false, + "reason": "Different model families and different save/load failures." + }, + { + "left": "issue:44164", + "right": "issue:44291", + "accept": false, + "reason": "Both are loading/saving related, but one is extra_state handling and the other is init_empty_weights argument plumbing." + }, + { + "left": "issue:45488", + "right": "issue:45812", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different model families and different tokenizer behaviors." + }, + { + "left": "issue:45362", + "right": "issue:45406", + "accept": false, + "reason": "Unrelated crashes: Qwen3.5 chat failure versus Gemma4Processor missing _tokenizer." + }, + { + "left": "issue:45276", + "right": "issue:45335", + "accept": true, + "reason": "Same underlying resize_token_embeddings propagation bug: secondary embedding/output layers are not updated, just in different composite model variants." + }, + { + "left": "issue:44910", + "right": "issue:45588", + "accept": false, + "reason": "Both involve flash_attention, but one is a packed-sequence position_ids crash and the other is an s_aux=None attribute error." + }, + { + "left": "issue:44402", + "right": "issue:44488", + "accept": false, + "reason": "Related tokenizer-loading complaints, but the reported models and symptoms are different enough to treat as separate issues." + }, + { + "left": "issue:43425", + "right": "issue:43957", + "accept": false, + "reason": "Torch version incompatibility is not the same as meta-device loading breakage." + }, + { + "left": "issue:43873", + "right": "issue:44387", + "accept": false, + "reason": "Both touch quantization/memory, but one is offloading behavior and the other is increased reserved CUDA memory under int4." + }, + { + "left": "issue:39692", + "right": "issue:44960", + "accept": false, + "reason": "Completely different model/documentation problems." + }, + { + "left": "issue:42947", + "right": "issue:45704", + "accept": false, + "reason": "Gradient checkpointing with PEFT LoRA is unrelated to the T5 apex RMSNorm memory leak." + }, + { + "left": "issue:41720", + "right": "issue:44155", + "accept": false, + "reason": "Different subsystems and failures; device-mapping CUDA assert is not an AudioFlamingo3 batch inference leak." + }, + { + "left": "issue:45663", + "right": "issue:45759", + "accept": false, + "reason": "Different bugs in different composite-model code paths; no single fix would plausibly cover both." + }, + { + "left": "issue:43404", + "right": "issue:43454", + "accept": true, + "reason": "Same bug pattern: lm_head weights are not tied, causing bad generation in closely related multimodal/generative model classes." + }, + { + "left": "issue:44291", + "right": "issue:44756", + "accept": false, + "reason": "Meta-init loading TypeError is unrelated to mmap causing OOM." + }, + { + "left": "issue:36010", + "right": "issue:39404", + "accept": false, + "reason": "ImportError for GenerationMixin is unrelated to Whisper pipeline return_language behavior." + }, + { + "left": "issue:45663", + "right": "issue:45859", + "accept": false, + "reason": "Both involve Qwen3-related model code, but the FSDP2 shared_kv_states bug is different from CPU-offload incompatibility in rotary embeddings." + }, + { + "left": "issue:44387", + "right": "issue:44756", + "accept": false, + "reason": "Int4 quantization OOM is not the same as mmap OOM on Strix Halo." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is conservative and stays close to the packet. The two accepted pairs are the only ones that clearly read as the same underlying bug pattern, and the rejections do not overreach beyond the evidence. Minor wording note: issue:45292 is a good canonical reference, but it is closed in the packet, so \"keep open\" is a bit imprecise; that does not materially affect the clustering judgment." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 8, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:39404", + "issue:42796", + "issue:42947", + "issue:43335", + "issue:43381", + "issue:43425", + "issue:43611", + "issue:43645", + "issue:43646", + "issue:43708", + "issue:43716", + "issue:43828", + "issue:43854", + "issue:43906", + "issue:43957", + "issue:44155", + "issue:44164", + "issue:44292", + "issue:44402", + "issue:44451", + "issue:44479", + "issue:44530", + "issue:44589", + "issue:44683", + "issue:44756", + "issue:44805", + "issue:44863", + "issue:44877", + "issue:44912", + "issue:44928", + "issue:45084", + "issue:45216", + "issue:45276", + "issue:45292", + "issue:45335", + "issue:45588", + "issue:45663", + "issue:45684", + "issue:45685", + "issue:45698", + "issue:45701", + "issue:45812", + "issue:45823", + "issue:46315", + "issue:46326", + "issue:46468", + "issue:46491", + "issue:46665" + ], + "soft_pairs": [ + "issue:44292|issue:44912", + "issue:43957|issue:44756", + "issue:44155|issue:45823", + "issue:42947|issue:43381", + "issue:43335|issue:45663", + "issue:44863|issue:46468", + "issue:45276|issue:45292", + "issue:45685|issue:46468", + "issue:44479|issue:44877", + "issue:44164|issue:44756", + "issue:43381|issue:44928", + "issue:45588|issue:45663", + "issue:45684|issue:45698", + "issue:43854|issue:45216", + "issue:42796|issue:46326", + "issue:43828|issue:43957", + "issue:45292|issue:45335", + "issue:43646|issue:43708", + "issue:44402|issue:44451", + "issue:43645|issue:44164", + "issue:44589|issue:44756", + "issue:43425|issue:43828", + "issue:45812|issue:46315", + "issue:46315|issue:46491", + "issue:39404|issue:45701", + "issue:43611|issue:43645", + "issue:39404|issue:46665", + "issue:44683|issue:45823", + "issue:44530|issue:45084", + "issue:43425|issue:45823", + "issue:43425|issue:43716", + "issue:44589|issue:45084", + "issue:44479|issue:44805", + "issue:43906|issue:44530" + ], + "prepared_review_unit_hash": "611fe7f745854538a3063f177a8c665fad0d4a999c1081eb2d6b14be45a6e45a", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 37883, + "estimated_input_tokens": 9471, + "estimated_eval_tokens": 19198 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of distinct Transformers regressions across tokenizers, model loading, quantization, checkpointing, and device/dtype issues. The only clear duplicate-like subgroup is the `resize_token_embeddings` / `output_embeddings` regression spanning three issues; the rest are too different to merge safely.", + "confidence": 0.84, + "canonical_issue_reason": "No single issue cleanly represents the whole cluster; the closest true duplicate set is the `resize_token_embeddings` / `output_embeddings` regression, where issue 45292 is the broadest formulation and best anchor for that mini-cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45292 is the best representative of the only near-duplicate family in the set: it states the core `resize_token_embeddings` \u2192 `output_embeddings` failure concisely, while 45276 and 45335 read as model-specific variants of the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44292", + "right": "issue:44912", + "accept": false, + "reason": "Both are quantization/loading failures, but they affect different models and likely different code paths (`NVFP4` vs `MXFP4` fallback)." + }, + { + "left": "issue:43957", + "right": "issue:44756", + "accept": false, + "reason": "One is a `torch.device(\"meta\")` model-loading regression; the other is an Strix Halo mmap/OOM workaround. Same broad area, not the same bug." + }, + { + "left": "issue:44155", + "right": "issue:45823", + "accept": false, + "reason": "AudioFlamingo track-leak bug and Gemma4 device mismatch are unrelated failures in different models/subsystems." + }, + { + "left": "issue:42947", + "right": "issue:43381", + "accept": false, + "reason": "Both mention gradient checkpointing, but one is a LoRA inefficacy report and the other is an eval-mode restriction; different problems." + }, + { + "left": "issue:43335", + "right": "issue:45663", + "accept": false, + "reason": "Different models and different failures: sparse-layer construction vs FSDP2 `shared_kv_states` rebuilding." + }, + { + "left": "issue:44863", + "right": "issue:46468", + "accept": false, + "reason": "Both mention Nemotron, but one is a checkpoint-loading failure and the other is an example script regression; not the same underlying bug." + }, + { + "left": "issue:45276", + "right": "issue:45292", + "accept": true, + "reason": "Same core bug: `resize_token_embeddings` does not update output embeddings; 45276 just adds the Gemma4-specific `embed_tokens_per_layer` symptom." + }, + { + "left": "issue:45685", + "right": "issue:46468", + "accept": false, + "reason": "Unrelated: MPS histogram support error vs broken Nemotron example." + }, + { + "left": "issue:44479", + "right": "issue:44877", + "accept": false, + "reason": "Video-input regression in Qwen VL models vs strict-config loading issue for Granite speech are different bugs." + }, + { + "left": "issue:44164", + "right": "issue:44756", + "accept": false, + "reason": "`extra_state` save/load failure and Strix Halo mmap OOM are unrelated." + }, + { + "left": "issue:43381", + "right": "issue:44928", + "accept": false, + "reason": "Checkpointing-in-eval-mode and RLHF NaN explosion from SDPA fallback are different failure modes." + }, + { + "left": "issue:45588", + "right": "issue:45663", + "accept": false, + "reason": "Flash-attention `s_aux=None` crash and Gemma4 FSDP2 `shared_kv_states` issue are unrelated." + }, + { + "left": "issue:45684", + "right": "issue:45698", + "accept": false, + "reason": "Both involve custom-model save/load, but one is read-only permission propagation and the other is wrong module restoration after `save_pretrained`." + }, + { + "left": "issue:43854", + "right": "issue:45216", + "accept": false, + "reason": "Different regression classes: GLM-4.7-Flash unit-test loading vs Qwen3.5 checkpoint serialization." + }, + { + "left": "issue:42796", + "right": "issue:46326", + "accept": false, + "reason": "Both are tokenizer-related, but BPE-marker handling and `continue_final_message` behavior are separate issues." + }, + { + "left": "issue:43828", + "right": "issue:43957", + "accept": false, + "reason": "Autocast dtype mismatch in Phi MoE and meta-device loading failures are unrelated." + }, + { + "left": "issue:45292", + "right": "issue:45335", + "accept": true, + "reason": "Same underlying `resize_token_embeddings` propagation bug: both report output/decoder embeddings not being updated; 45335 is a T5Gemma-specific variant." + }, + { + "left": "issue:43646", + "right": "issue:43708", + "accept": false, + "reason": "Custom-model initialization breakage and `resume_from_checkpoint` step \u0917\u0923\u0928\u093e are unrelated." + }, + { + "left": "issue:44402", + "right": "issue:44451", + "accept": false, + "reason": "Tokenizer vocab-size mismatch for one model and loading failure for another are not the same bug." + }, + { + "left": "issue:43645", + "right": "issue:44164", + "accept": false, + "reason": "Notebook custom-model init regression and `extra_state` save/load failure are different custom-model issues." + }, + { + "left": "issue:44589", + "right": "issue:44756", + "accept": false, + "reason": "Float8 storage lookup failure and Strix Halo mmap/OOM are unrelated." + }, + { + "left": "issue:43425", + "right": "issue:43828", + "accept": false, + "reason": "Torch 2.10 compatibility and autocast dtype mismatch are different problems." + }, + { + "left": "issue:45812", + "right": "issue:46315", + "accept": false, + "reason": "Wrong Granite token IDs and slow `convert_tokens_to_ids` are both tokenizer regressions but not the same underlying bug." + }, + { + "left": "issue:46315", + "right": "issue:46491", + "accept": false, + "reason": "Slow token conversion and CodeLlama leading-space round-trip regression are unrelated." + }, + { + "left": "issue:39404", + "right": "issue:45701", + "accept": false, + "reason": "Whisper `return_language` pipeline breakage and tokenization changes are different issues." + }, + { + "left": "issue:43611", + "right": "issue:43645", + "accept": false, + "reason": "Both concern custom-model loading after v5, but `base_model_prefix` handling and Jupyter notebook initialization are distinct failure modes." + }, + { + "left": "issue:39404", + "right": "issue:46665", + "accept": false, + "reason": "Whisper pipeline language return bug and `from_pretrained` inside Python classes are unrelated." + }, + { + "left": "issue:44683", + "right": "issue:45823", + "accept": false, + "reason": "Compiled flex_attention on torch>=2.9 and Gemma4 device-mapping mismatch are different code paths." + }, + { + "left": "issue:44530", + "right": "issue:45084", + "accept": false, + "reason": "PagedAttentionCache `linear_attention` crash and non-template-node compile error are unrelated." + }, + { + "left": "issue:43425", + "right": "issue:45823", + "accept": false, + "reason": "Torch version compatibility and Gemma4 forward device mismatch are not the same bug." + }, + { + "left": "issue:43425", + "right": "issue:43716", + "accept": false, + "reason": "Torch compatibility issue and Mistral-3 dtype mismatch are unrelated." + }, + { + "left": "issue:44589", + "right": "issue:45084", + "accept": false, + "reason": "Float8 storage lookup failure and compiler template-node error are different failures." + }, + { + "left": "issue:44479", + "right": "issue:44805", + "accept": false, + "reason": "Qwen VL video-input regression and mask/tensor shape mismatch are not the same underlying issue." + }, + { + "left": "issue:43906", + "right": "issue:44530", + "accept": false, + "reason": "An isolated reproduction of an old issue and a Qwen3.5 PagedAttentionCache crash are too different to treat as duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet and stays conservative about the non-duplicates. The only accepted soft edges are the clearly related `resize_token_embeddings`/`output_embeddings` issues, which the titles support. No overstatement stands out, and the rest of the pairwise rejections are appropriately cautious." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 9, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:32090", + "issue:36032", + "issue:39404", + "issue:42796", + "issue:42915", + "issue:43299", + "issue:43404", + "issue:43425", + "issue:43452", + "issue:43541", + "issue:43596", + "issue:43611", + "issue:43643", + "issue:43644", + "issue:43716", + "issue:43856", + "issue:43901", + "issue:43906", + "issue:43931", + "issue:43994", + "issue:44079", + "issue:44164", + "issue:44265", + "issue:44462", + "issue:44479", + "issue:44488", + "issue:44509", + "issue:44530", + "issue:44661", + "issue:44671", + "issue:44683", + "issue:44737", + "issue:44756", + "issue:44898", + "issue:44912", + "issue:44918", + "issue:44987", + "issue:44991", + "issue:45081", + "issue:45084", + "issue:45759", + "issue:45859", + "issue:46050", + "issue:46285", + "issue:46326", + "issue:46402", + "issue:46489" + ], + "soft_pairs": [ + "issue:43901|issue:44509", + "issue:43425|issue:44918", + "issue:43994|issue:44079", + "issue:44265|issue:44898", + "issue:44671|issue:44991", + "issue:36032|issue:43452", + "issue:39404|issue:44912", + "issue:44164|issue:45759", + "issue:46050|issue:46326", + "issue:43299|issue:43931", + "issue:43906|issue:46326", + "issue:44991|issue:45081", + "issue:43856|issue:44756", + "issue:43596|issue:44683", + "issue:44164|issue:44479", + "issue:44488|issue:45081", + "issue:44488|issue:44987", + "issue:43611|issue:43644", + "issue:44462|issue:46489", + "issue:42796|issue:43404", + "issue:43716|issue:45084", + "issue:36032|issue:42915", + "issue:44737|issue:45859", + "issue:32090|issue:39404", + "issue:46285|issue:46402", + "issue:44661|issue:44683", + "issue:43643|issue:44530", + "issue:43541|issue:45084" + ], + "prepared_review_unit_hash": "94a7c71f078761b542bdeff9c2a92ff8684455403d75260980519fe189890f11", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35665, + "estimated_input_tokens": 8917, + "estimated_eval_tokens": 18090 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This looks like a heterogeneous cluster of Transformers v5 regression reports, mostly model/tokenizer loading issues and a few unrelated runtime/device bugs. I do not see any true duplicate pairs among the soft edges, so I\u2019d keep them separate and use the broad loading-regression issue as the best anchor.", + "confidence": 0.61, + "canonical_issue_reason": "issue:43611 is the broadest, most central loading-regression report in the set and is a better cluster anchor than the many model-specific edge cases.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43611 is the most representative of the overall cluster because it describes a core framework-level loading break rather than a narrow model-specific symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43901", + "right": "issue:44509", + "accept": false, + "reason": "Both are docs complaints, but they cover different removed/changed pipeline docs and different mismatches." + }, + { + "left": "issue:43425", + "right": "issue:44918", + "accept": false, + "reason": "Torch 2.10 incompatibility is unrelated to the Qwen3.5 embedding unpacking failure." + }, + { + "left": "issue:43994", + "right": "issue:44079", + "accept": false, + "reason": "One is a SIGLIP2 inference regression; the other is a ModelOutput key-assignment bug." + }, + { + "left": "issue:44265", + "right": "issue:44898", + "accept": false, + "reason": "Different subsystems: torch.export / torch_compilable_check versus Perceiver positional interpolation." + }, + { + "left": "issue:44671", + "right": "issue:44991", + "accept": false, + "reason": "Different model/tokenizer failures: CamemBERT masked-LM predictions vs EMBEDDIA tokenizer loading." + }, + { + "left": "issue:36032", + "right": "issue:43452", + "accept": false, + "reason": "Both involve loading, but the T5 tokenizer method-name conflict and gguf_file handling are distinct bugs." + }, + { + "left": "issue:39404", + "right": "issue:44912", + "accept": false, + "reason": "Whisper pipeline return_language and MXFP4 quantization fallback are unrelated regressions." + }, + { + "left": "issue:44164", + "right": "issue:45759", + "accept": false, + "reason": "Save/from_pretrained extra_state handling is a different code path from AutoModelForCausalLM config unwrapping." + }, + { + "left": "issue:46050", + "right": "issue:46326", + "accept": false, + "reason": "Quantized save/load breakage and mistral_common continue_final_message behavior are separate issues." + }, + { + "left": "issue:43299", + "right": "issue:43931", + "accept": false, + "reason": "Both are Qwen3-VL-related, but one is a version-wide loading regression and the other is a specific shape-mismatch case." + }, + { + "left": "issue:43906", + "right": "issue:46326", + "accept": false, + "reason": "An isolated reproduction of another issue is not the same bug as the mistral_common tokenizer message issue." + }, + { + "left": "issue:44991", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer loading for EMBEDDIA/est-roberta and the Mistral regex patch crash are different failures." + }, + { + "left": "issue:43856", + "right": "issue:44756", + "accept": false, + "reason": "Both mention memory, but Qwen3 MoE training inefficiency and Strix Halo mmap OOM are different causes." + }, + { + "left": "issue:43596", + "right": "issue:44683", + "accept": false, + "reason": "Deepspeed ZeRO-3/BertModel initialization and compiled flex_attention on new torch versions are unrelated." + }, + { + "left": "issue:44164", + "right": "issue:44479", + "accept": false, + "reason": "save/from_pretrained extra_state handling is unrelated to the Qwen2.5-VL/Qwen3-VL video-input regression." + }, + { + "left": "issue:44488", + "right": "issue:45081", + "accept": false, + "reason": "Loading sleng-bert and crashing in _patch_mistral_regex are different tokenizer bugs." + }, + { + "left": "issue:44488", + "right": "issue:44987", + "accept": false, + "reason": "Both are loading regressions, but for different models and different failure modes." + }, + { + "left": "issue:43611", + "right": "issue:43644", + "accept": false, + "reason": "Both are v5 regressions, but base_model_prefix loading and non-persistent buffer junk are distinct bugs." + }, + { + "left": "issue:44462", + "right": "issue:46489", + "accept": false, + "reason": "AutoTokenizer ignoring tokenizer.json and DeepSeek-Coder v1 incorrect output are not the same concrete tokenizer bug." + }, + { + "left": "issue:42796", + "right": "issue:43404", + "accept": false, + "reason": "Tokenizer BPE-marker handling and Mistral3 lm_head tying are different model issues." + }, + { + "left": "issue:43716", + "right": "issue:45084", + "accept": false, + "reason": "Image-preprocessor dtype mismatch is unrelated to the compile-time template-node error." + }, + { + "left": "issue:36032", + "right": "issue:42915", + "accept": false, + "reason": "T5 tokenizer add_special_tokens conflict and Qwen3Moe FineGrainedFP8Config failure are unrelated." + }, + { + "left": "issue:44737", + "right": "issue:45859", + "accept": false, + "reason": "Both are device-placement bugs, but XLNet CPU arange and Qwen3_5Moe CPU offload are different code paths." + }, + { + "left": "issue:32090", + "right": "issue:39404", + "accept": false, + "reason": "Trainer GPU broadcast TypeError and Whisper return_language regression do not share the same underlying bug." + }, + { + "left": "issue:46285", + "right": "issue:46402", + "accept": false, + "reason": "CLIP text-model structure inconsistency is unrelated to Sam3Model text-encoder weight loading." + }, + { + "left": "issue:44661", + "right": "issue:44683", + "accept": false, + "reason": "add-new-model-like mapping failure and compiled flex_attention on torch>=2.9 are unrelated." + }, + { + "left": "issue:43643", + "right": "issue:44530", + "accept": false, + "reason": "trust_remote_code config fields and PagedAttentionCache linear_attention crash are different issues." + }, + { + "left": "issue:43541", + "right": "issue:45084", + "accept": false, + "reason": "Mixtral grouped_mm tracing failure and non-template-node compilation failure are not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 10, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28530", + "issue:34567", + "issue:36032", + "issue:40444", + "issue:40990", + "issue:42175", + "issue:42915", + "issue:43262", + "issue:43317", + "issue:43377", + "issue:43404", + "issue:43421", + "issue:43452", + "issue:43482", + "issue:43582", + "issue:43632", + "issue:43644", + "issue:43645", + "issue:43646", + "issue:43742", + "issue:43746", + "issue:43819", + "issue:43883", + "issue:43994", + "issue:44206", + "issue:44220", + "issue:44291", + "issue:44403", + "issue:44451", + "issue:44464", + "issue:44466", + "issue:44488", + "issue:44530", + "issue:44534", + "issue:44589", + "issue:44610", + "issue:44811", + "issue:44849", + "issue:44987", + "issue:44991", + "issue:45081", + "issue:45084", + "issue:45325", + "issue:45507", + "issue:45584", + "issue:45987", + "issue:46178", + "issue:46326" + ], + "soft_pairs": [ + "issue:43582|issue:43632", + "issue:42915|issue:44530", + "issue:44451|issue:44987", + "issue:40990|issue:43421", + "issue:43644|issue:43646", + "issue:34567|issue:40444", + "issue:42175|issue:46178", + "issue:44811|issue:45584", + "issue:44206|issue:44220", + "issue:43883|issue:44488", + "issue:36032|issue:43645", + "issue:40444|issue:46326", + "issue:45084|issue:45507", + "issue:43452|issue:43482", + "issue:43317|issue:43482", + "issue:44987|issue:44991", + "issue:43262|issue:43377", + "issue:43746|issue:46326", + "issue:43883|issue:44991", + "issue:42915|issue:45084", + "issue:44403|issue:45081", + "issue:44464|issue:45987", + "issue:43646|issue:44534", + "issue:43645|issue:44534", + "issue:44849|issue:45325", + "issue:43404|issue:44466", + "issue:43377|issue:43819", + "issue:42915|issue:44291", + "issue:43994|issue:44610", + "issue:44987|issue:45081", + "issue:44451|issue:45081", + "issue:28530|issue:34567", + "issue:36032|issue:43742", + "issue:42915|issue:44589" + ], + "prepared_review_unit_hash": "adbc0807d92fd87a8d79cf81665143714d7f6dc6ebd4d792a51931ebba32bc38", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 38007, + "estimated_input_tokens": 9502, + "estimated_eval_tokens": 19260 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The items are mostly unrelated Transformers bugs, with one loose mini-theme around v5 custom-model initialization/state handling. No soft pair looks like the same concrete bug, so all candidate duplicate edges are rejected.", + "confidence": 0.46, + "canonical_issue_reason": "issue:43646 is the broadest and most representative of the v5 custom-model initialization regression theme; several nearby issues are narrower variants of init/state/buffer handling.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43646 best captures the cluster's dominant v5 model-initialization breakage without being overly niche.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43582", + "right": "issue:43632", + "accept": false, + "reason": "Different bugs: AppleSilicon warmup TypeError vs `_is_hf_initialized` flag regression." + }, + { + "left": "issue:42915", + "right": "issue:44530", + "accept": false, + "reason": "Different code paths: FineGrainedFP8Config failure vs PagedAttentionCache invalid group type on Qwen3.5." + }, + { + "left": "issue:44451", + "right": "issue:44987", + "accept": false, + "reason": "Both are model-loading failures, but for different models and likely different root causes." + }, + { + "left": "issue:40990", + "right": "issue:43421", + "accept": false, + "reason": "Perplexity/quality issue vs tokenizer post-processor runtime update bug." + }, + { + "left": "issue:43644", + "right": "issue:43646", + "accept": false, + "reason": "Related v5 regression theme, but one is non-persistent buffer serialization and the other is custom model initialization." + }, + { + "left": "issue:34567", + "right": "issue:40444", + "accept": false, + "reason": "Trainer token counter bug vs multi-image IterableDataset finetuning failure." + }, + { + "left": "issue:42175", + "right": "issue:46178", + "accept": false, + "reason": "Backend installation metadata issue vs unsupported tensorflow_text backend lookup." + }, + { + "left": "issue:44811", + "right": "issue:45584", + "accept": false, + "reason": "Both involve Whisper/tokenization, but one is batch_decode skip_special_tokens handling and the other is empty-transcription generation after alignment." + }, + { + "left": "issue:44206", + "right": "issue:44220", + "accept": false, + "reason": "Both are audio feature-extraction regressions, but one is unsupported center arg and the other is a different fbank helper issue." + }, + { + "left": "issue:43883", + "right": "issue:44488", + "accept": false, + "reason": "Different loading failures for different models; no shared concrete failure mode is shown." + }, + { + "left": "issue:36032", + "right": "issue:43645", + "accept": false, + "reason": "Tokenizer method-name conflict vs custom model initialization breakage in notebooks." + }, + { + "left": "issue:40444", + "right": "issue:46326", + "accept": false, + "reason": "Different modalities and failures: multi-image Qwen2.5-VL finetuning vs mistral_common continue_final_message behavior." + }, + { + "left": "issue:45084", + "right": "issue:45507", + "accept": false, + "reason": "Generic compile/template TypeError vs GraniteMoEHybrid invalid-method call; only broad API churn overlaps." + }, + { + "left": "issue:43452", + "right": "issue:43482", + "accept": false, + "reason": "Different GGUF/from_pretrained failure modes; one is API breakage, the other is version-specific loading failure." + }, + { + "left": "issue:43317", + "right": "issue:43482", + "accept": false, + "reason": "Different loading paths: dequantized device_map offload vs Qwen2.5-GGUF v5 loading failure." + }, + { + "left": "issue:44987", + "right": "issue:44991", + "accept": false, + "reason": "Both are v5 tokenizer/model loading failures, but for different models and not the same underlying bug." + }, + { + "left": "issue:43262", + "right": "issue:43377", + "accept": false, + "reason": "Audio processor chat-template sampling-rate bug vs MIMI batched-vs-single padding-mask discrepancy." + }, + { + "left": "issue:43746", + "right": "issue:46326", + "accept": false, + "reason": "PEFT/local checkpoint loading issue vs tokenizer continue_final_message bug; different code paths." + }, + { + "left": "issue:43883", + "right": "issue:44991", + "accept": false, + "reason": "Different model-specific loading failures; no evidence they share one root cause." + }, + { + "left": "issue:42915", + "right": "issue:45084", + "accept": false, + "reason": "Qwen3Moe FP8 config failure vs template compilation error are unrelated." + }, + { + "left": "issue:44403", + "right": "issue:45081", + "accept": false, + "reason": "Noise/logging complaint vs Mistral regex patch crash; not the same bug." + }, + { + "left": "issue:44464", + "right": "issue:45987", + "accept": false, + "reason": "Chunked generation mismatch vs StaticCache sequence-length contract bug." + }, + { + "left": "issue:43646", + "right": "issue:44534", + "accept": false, + "reason": "Both are v5 regressions, but one is custom model initialization and the other is non-persistent buffer junking." + }, + { + "left": "issue:43645", + "right": "issue:44534", + "accept": false, + "reason": "Notebook custom-model initialization issue vs non-persistent buffer corruption are distinct failures." + }, + { + "left": "issue:44849", + "right": "issue:45325", + "accept": false, + "reason": "Qwen3.5 hidden-states bug vs Qwen2.5-VL rope-index scaling bug; different models and symptoms." + }, + { + "left": "issue:43404", + "right": "issue:44466", + "accept": false, + "reason": "Related weight-tying theme, but one is a model-specific missing tie and the other is device-dependent serialization inconsistency." + }, + { + "left": "issue:43377", + "right": "issue:43819", + "accept": false, + "reason": "MIMI padding-mask batch inconsistency vs DAC from_latents / missing STE mismatch." + }, + { + "left": "issue:42915", + "right": "issue:44291", + "accept": false, + "reason": "FP8 config failure vs init_empty_weights unexpected `_is_hf_initialized` argument; different init paths." + }, + { + "left": "issue:43994", + "right": "issue:44610", + "accept": false, + "reason": "Different vision-model processor bugs: nonsensical outputs vs wrong image size from processor." + }, + { + "left": "issue:44987", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer/model loading failure vs Mistral tokenizer regex patch crash; not the same underlying bug." + }, + { + "left": "issue:44451", + "right": "issue:45081", + "accept": false, + "reason": "Model loading failure for a specific checkpoint vs a tokenizer regex patch attribute error." + }, + { + "left": "issue:28530", + "right": "issue:34567", + "accept": false, + "reason": "Early stopping metric selection issue vs TrainerState input-tokens counter not updating." + }, + { + "left": "issue:36032", + "right": "issue:43742", + "accept": false, + "reason": "Tokenizer class method conflict vs key error loading MobileLLM-125M." + }, + { + "left": "issue:42915", + "right": "issue:44589", + "accept": false, + "reason": "Qwen3Moe FP8 config failure vs missing Float8 storage type; different low-level problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 11, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:33666", + "issue:35707", + "issue:36032", + "issue:40444", + "issue:40990", + "issue:41720", + "issue:42796", + "issue:43089", + "issue:43296", + "issue:43322", + "issue:43381", + "issue:43425", + "issue:43482", + "issue:43525", + "issue:43531", + "issue:43540", + "issue:43611", + "issue:43632", + "issue:43746", + "issue:43792", + "issue:44062", + "issue:44079", + "issue:44220", + "issue:44265", + "issue:44291", + "issue:44403", + "issue:44479", + "issue:44534", + "issue:44589", + "issue:44610", + "issue:44683", + "issue:44756", + "issue:44811", + "issue:44877", + "issue:44987", + "issue:44991", + "issue:45216", + "issue:45325", + "issue:45357", + "issue:45538", + "issue:45663", + "issue:45812", + "issue:45923", + "issue:45987", + "issue:46315", + "issue:46491", + "issue:46710" + ], + "soft_pairs": [ + "issue:43089|issue:45987", + "issue:44062|issue:44987", + "issue:44265|issue:44610", + "issue:44479|issue:45325", + "issue:43322|issue:43540", + "issue:43531|issue:44877", + "issue:36032|issue:41720", + "issue:45216|issue:45357", + "issue:44991|issue:46315", + "issue:43425|issue:44403", + "issue:43296|issue:43531", + "issue:44220|issue:44683", + "issue:43611|issue:44534", + "issue:40444|issue:45325", + "issue:43632|issue:44756", + "issue:45812|issue:46491", + "issue:44403|issue:44991", + "issue:43792|issue:44589", + "issue:43381|issue:45923", + "issue:42796|issue:43746", + "issue:44291|issue:44589", + "issue:33666|issue:40444", + "issue:44079|issue:45663", + "issue:40990|issue:44811", + "issue:42796|issue:46710", + "issue:43482|issue:43525", + "issue:35707|issue:40444", + "issue:43632|issue:44534", + "issue:43482|issue:45538" + ], + "prepared_review_unit_hash": "0a45eade6adf9863e860a3c6c343b88efd04f758ae3958f48d5975b520a57fd2", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35691, + "estimated_input_tokens": 8923, + "estimated_eval_tokens": 18102 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated regression and model-specific bug reports. The only clear duplicate-like pair is the two Qwen3.5 save_pretrained checkpoint issues (45216 / 45357).", + "confidence": 0.89, + "canonical_issue_reason": "issue:45216 is a clear, high-signal regression report with an explicit version boundary and broad checkpoint-save impact; it is the best single issue to anchor the Qwen3.5 save_pretrained problem.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45216 is the strongest representative issue in the set because it describes a concrete regression, identifies the affected model family, and likely captures the core save_pretrained failure behind the related follow-up report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43089", + "right": "issue:45987", + "accept": false, + "reason": "Different bugs: one is generation performance overhead from GPU sync/dispatch, the other is a StaticCache return-type contract issue." + }, + { + "left": "issue:44062", + "right": "issue:44987", + "accept": false, + "reason": "Both involve tokenizer/model loading failures, but they point to different code paths and symptoms; not the same concrete bug." + }, + { + "left": "issue:44265", + "right": "issue:44610", + "accept": false, + "reason": "Unrelated failures: torch.export with torch_compilable_check versus an OmDet-Turbo processor image-size mismatch." + }, + { + "left": "issue:44479", + "right": "issue:45325", + "accept": false, + "reason": "Both touch Qwen VL/video behavior, but 44479 is a broad multi-model video-input regression while 45325 is a specific still-image temporal-position scaling bug." + }, + { + "left": "issue:43322", + "right": "issue:43540", + "accept": false, + "reason": "Different models and failure modes: Llava Next load segfault versus Qwen3OmniMoe video-processing ValueError." + }, + { + "left": "issue:43531", + "right": "issue:44877", + "accept": false, + "reason": "Different issues in different model families: Qwen3-MoE sliding_window versus granite_speech config strictness." + }, + { + "left": "issue:36032", + "right": "issue:41720", + "accept": false, + "reason": "Completely unrelated: a T5 tokenizer method conflict versus a Qwen3 auto device-mapping CUDA assert." + }, + { + "left": "issue:45216", + "right": "issue:45357", + "accept": true, + "reason": "Same underlying Qwen3.5 save_pretrained/checkpoint regression; 45357 looks like a narrower symptom of the broader issue in 45216." + }, + { + "left": "issue:44991", + "right": "issue:46315", + "accept": false, + "reason": "Both concern tokenizers, but one is a loading failure and the other is a performance regression in convert_tokens_to_ids." + }, + { + "left": "issue:43425", + "right": "issue:44403", + "accept": false, + "reason": "Different problems: Torch 2.10 compatibility versus noisy loading logs." + }, + { + "left": "issue:43296", + "right": "issue:43531", + "accept": false, + "reason": "Different model families and different failure modes; no shared concrete code-path bug." + }, + { + "left": "issue:44220", + "right": "issue:44683", + "accept": false, + "reason": "Unrelated: fbank feature extraction issue versus compiled flex_attention failing on newer torch." + }, + { + "left": "issue:43611", + "right": "issue:44534", + "accept": false, + "reason": "Both are v5 regressions, but one is base_model_prefix loading and the other is non-persistent buffer initialization; not the same bug." + }, + { + "left": "issue:40444", + "right": "issue:45325", + "accept": false, + "reason": "Both involve Qwen2.5-VL, but one is multi-image training with IterableDataset and the other is a temporal-position scaling regression." + }, + { + "left": "issue:43632", + "right": "issue:44756", + "accept": false, + "reason": "Different issues: _is_hf_initialized breakage versus mmap/OOM behavior on Strix Halo." + }, + { + "left": "issue:45812", + "right": "issue:46491", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different models and different failure modes." + }, + { + "left": "issue:44403", + "right": "issue:44991", + "accept": false, + "reason": "Generic loading noise is unrelated to the tokenizer loading failure in EMBEDDIA/est-roberta." + }, + { + "left": "issue:43792", + "right": "issue:44589", + "accept": false, + "reason": "Different failures: Whisper runtime issue versus a Float8 storage lookup TypeError." + }, + { + "left": "issue:43381", + "right": "issue:45923", + "accept": false, + "reason": "Both mention gradient checkpointing, but one is eval-mode usage and the other is a missing capability flag on a trust_remote_code variant." + }, + { + "left": "issue:42796", + "right": "issue:43746", + "accept": false, + "reason": "Tokenizer BPE-marker handling is unrelated to GraniteSpeech PEFT checkpoint loading." + }, + { + "left": "issue:44291", + "right": "issue:44589", + "accept": false, + "reason": "Different TypeErrors from different subsystems; no shared underlying bug." + }, + { + "left": "issue:33666", + "right": "issue:40444", + "accept": false, + "reason": "Both are Qwen2-VL/Qwen2.5-VL training-related, but one is multi-GPU training and the other is multi-image iterable-dataset finetuning." + }, + { + "left": "issue:44079", + "right": "issue:45663", + "accept": false, + "reason": "Different tensor/model internals: ModelOutput key assignment versus Gemma4 FSDP2 shared_kv_states rebuild." + }, + { + "left": "issue:40990", + "right": "issue:44811", + "accept": false, + "reason": "Completely unrelated: high perplexity on a benchmark versus Whisper batch_decode skip_special_tokens handling." + }, + { + "left": "issue:42796", + "right": "issue:46710", + "accept": false, + "reason": "Tokenizer BPE-marker bug is unrelated to a DeepSeek-R1-Distill-Llama accuracy regression." + }, + { + "left": "issue:43482", + "right": "issue:43525", + "accept": false, + "reason": "Different loading failures affecting different model/config paths; not the same bug." + }, + { + "left": "issue:35707", + "right": "issue:40444", + "accept": false, + "reason": "Different generation/training workflows and different model families; no same underlying bug." + }, + { + "left": "issue:43632", + "right": "issue:44534", + "accept": false, + "reason": "Both are Transformers v5 regressions, but they are distinct issues with different failure mechanisms." + }, + { + "left": "issue:43482", + "right": "issue:45538", + "accept": false, + "reason": "Unrelated: GGUF loading failure versus CLIPTokenizer max-length bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet\u2019s titles and stays conservative overall. The duplicate-like call on 45216/45357 is plausible from the shared Qwen3.5 save_pretrained regression theme, and the rest of the pairwise rejects are appropriately cautious given the limited evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 12, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:40444", + "issue:41553", + "issue:41720", + "issue:42175", + "issue:42796", + "issue:42915", + "issue:43296", + "issue:43317", + "issue:43377", + "issue:43421", + "issue:43454", + "issue:43482", + "issue:43493", + "issue:43531", + "issue:43582", + "issue:43611", + "issue:43632", + "issue:43644", + "issue:43646", + "issue:43701", + "issue:43749", + "issue:43792", + "issue:43818", + "issue:43856", + "issue:43873", + "issue:43957", + "issue:43994", + "issue:44079", + "issue:44265", + "issue:44291", + "issue:44462", + "issue:44466", + "issue:44534", + "issue:44568", + "issue:44829", + "issue:44877", + "issue:45072", + "issue:45081", + "issue:45325", + "issue:45357", + "issue:45381", + "issue:45479", + "issue:45491", + "issue:45542", + "issue:45701", + "issue:45812", + "issue:45834", + "issue:46402" + ], + "soft_pairs": [ + "issue:41553|issue:43582", + "issue:43531|issue:44291", + "issue:43317|issue:43856", + "issue:42175|issue:45542", + "issue:43421|issue:44568", + "issue:44079|issue:44534", + "issue:41720|issue:45081", + "issue:44829|issue:45479", + "issue:44462|issue:45812", + "issue:43611|issue:43646", + "issue:43377|issue:45491", + "issue:43818|issue:46402", + "issue:42175|issue:43296", + "issue:43644|issue:44079", + "issue:43818|issue:45357", + "issue:43749|issue:44079", + "issue:44265|issue:45072", + "issue:43792|issue:43957", + "issue:45325|issue:45381", + "issue:43493|issue:43994", + "issue:43454|issue:44466", + "issue:45325|issue:45834", + "issue:40444|issue:45381", + "issue:42915|issue:43482", + "issue:44291|issue:44877", + "issue:43632|issue:45072", + "issue:43873|issue:45701", + "issue:43701|issue:45325", + "issue:42796|issue:45381" + ], + "prepared_review_unit_hash": "58bea955c56934e78c309523875562b6a53c5ca122d18e373c910d1d62d6394b", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36574, + "estimated_input_tokens": 9144, + "estimated_eval_tokens": 18544 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of distinct Transformers v5 regressions across loading, tokenization, and model-specific inference paths. The clearest duplicate pairs are the `_is_hf_initialized` / `init_empty_weights` loading breakage, the Qwen2.5-VL position-id regressions, the SigLIP2 output discrepancy, and the Granite tokenizer regression.", + "confidence": 0.83, + "canonical_issue_reason": "issue:43632 is the best canonical issue because it names the broad v5 initialization-contract break at the root of the loading failures, and it matches the nearby init_empty_weights/_is_hf_initialized report most directly.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43632 is the strongest global representative of the cluster because it captures the core loading/init regression rather than a downstream symptom or a model-specific variant.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41553", + "right": "issue:43582", + "accept": false, + "reason": "Tokenizer loading error messaging and Apple Silicon allocator TypeError are different failures in different subsystems." + }, + { + "left": "issue:43531", + "right": "issue:44291", + "accept": false, + "reason": "Qwen3 sliding-window/MoE behavior is unrelated to the init_empty_weights/_is_hf_initialized loading TypeError." + }, + { + "left": "issue:43317", + "right": "issue:43856", + "accept": false, + "reason": "Dequantized model offload failure and Qwen3 MoE training memory usage are not the same bug." + }, + { + "left": "issue:42175", + "right": "issue:45542", + "accept": false, + "reason": "Both involve backend packaging, but the concrete failures differ: missing TensorFlow in the torch extra vs tensorboard-only install behavior." + }, + { + "left": "issue:43421", + "right": "issue:44568", + "accept": false, + "reason": "Runtime post-processor updates for special tokens are not the same as the BOS/EOS insertion regression." + }, + { + "left": "issue:44079", + "right": "issue:44534", + "accept": false, + "reason": "ModelOutput key assignment and non-persistent buffer initialization are separate internal regressions." + }, + { + "left": "issue:41720", + "right": "issue:45081", + "accept": false, + "reason": "Qwen3 CUDA assert on A800 and the Mistral regex patch AttributeError are unrelated bugs." + }, + { + "left": "issue:44829", + "right": "issue:45479", + "accept": false, + "reason": "Both affect training, but flash-attention degeneration and zero-loss single-label classification are different concrete failure modes." + }, + { + "left": "issue:44462", + "right": "issue:45812", + "accept": true, + "reason": "Both point to the same AutoTokenizer/Granite tokenizer regression: repository tokenizer data is not being used correctly, leading to wrong token IDs." + }, + { + "left": "issue:43611", + "right": "issue:43646", + "accept": false, + "reason": "Base_model_prefix loading and custom model initialization are related to v5 loading, but they are distinct code paths and symptoms." + }, + { + "left": "issue:43377", + "right": "issue:45491", + "accept": false, + "reason": "Missing padding-mask support in MIMI encoder is not the same as Gemma3 sliding-window NaN embeddings." + }, + { + "left": "issue:43818", + "right": "issue:46402", + "accept": false, + "reason": "Video-LLaVA vision-tower issues are unrelated to Sam3 text-encoder weight loading." + }, + { + "left": "issue:42175", + "right": "issue:43296", + "accept": false, + "reason": "TensorFlow packaging/backend availability and PaddleOCR-VL loading in vLLM are different issues." + }, + { + "left": "issue:43644", + "right": "issue:44079", + "accept": false, + "reason": "Non-persistent buffer junk filling and ModelOutput key assignment are separate regressions." + }, + { + "left": "issue:43818", + "right": "issue:45357", + "accept": false, + "reason": "Video-LLaVA tower problems are unrelated to Qwen3.5 visual-encoder key serialization." + }, + { + "left": "issue:43749", + "right": "issue:44079", + "accept": false, + "reason": "FSDP CPU RAM efficient loading and ModelOutput key assignment do not share a concrete bug." + }, + { + "left": "issue:44265", + "right": "issue:45072", + "accept": false, + "reason": "torch.export support for torch_compilable_check is unrelated to bfloat16 dtype mismatch failures." + }, + { + "left": "issue:43792", + "right": "issue:43957", + "accept": false, + "reason": "Whisper runtime failure and meta-device loading regressions are both load-related, but not the same failure path." + }, + { + "left": "issue:45325", + "right": "issue:45381", + "accept": true, + "reason": "Both are Qwen2.5-VL position-ID regressions in the same get_rope_index / vision-position-id path, for still images vs video." + }, + { + "left": "issue:43493", + "right": "issue:43994", + "accept": true, + "reason": "Both describe the same SigLIP2 implementation mismatch producing incorrect outputs, with one report framed as HF-vs-JAX discrepancy and the other as bad AutoModel/pipeline results." + }, + { + "left": "issue:43454", + "right": "issue:44466", + "accept": false, + "reason": "Missing lm_head tying and device-dependent lm_head serialization are related to tied weights, but they are different concrete bugs." + }, + { + "left": "issue:45325", + "right": "issue:45834", + "accept": false, + "reason": "Qwen2.5-VL position-ID scaling and Kosmos2.5 OCR index errors are unrelated model bugs." + }, + { + "left": "issue:40444", + "right": "issue:45381", + "accept": false, + "reason": "Multi-image IterableDataset finetuning failure is unrelated to Qwen2.5-VL video position-ID issues." + }, + { + "left": "issue:42915", + "right": "issue:43482", + "accept": false, + "reason": "Qwen3MoE FineGrainedFP8Config failure and Qwen2.5-GGUF loading in v5 are different model/loading paths." + }, + { + "left": "issue:44291", + "right": "issue:44877", + "accept": false, + "reason": "Unexpected _is_hf_initialized in init_empty_weights and strict granite_speech config loading are not the same bug." + }, + { + "left": "issue:43632", + "right": "issue:45072", + "accept": false, + "reason": "_is_hf_initialized init-state regressions and bfloat16 dtype mismatches are different bugs." + }, + { + "left": "issue:43873", + "right": "issue:45701", + "accept": false, + "reason": "Quantized offloading problems and version-dependent tokenization changes are not the same issue." + }, + { + "left": "issue:43701", + "right": "issue:45325", + "accept": false, + "reason": "Checkpoint key mismatch is unrelated to the Qwen2.5-VL rope/position-ID regression." + }, + { + "left": "issue:42796", + "right": "issue:45381", + "accept": false, + "reason": "Ministral BPE-marker handling and Qwen2.5-VL video position IDs are unrelated tokenizer/model bugs." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "Reject: the writeup is internally inconsistent and overstates at least one duplicate. The summary says the `_is_hf_initialized` / `init_empty_weights` loading breakage is one of the few true duplicate pairs, but the soft-edge verdict for `issue:43632` vs `issue:44291` is `false`. That mismatch means the cluster summary is not fully grounded in the packet. The rest of the false pair calls are mostly conservative, but this contradiction is enough to reject." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 13, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:34634", + "issue:35707", + "issue:39692", + "issue:40444", + "issue:40990", + "issue:41720", + "issue:42617", + "issue:42796", + "issue:42915", + "issue:42947", + "issue:43257", + "issue:43262", + "issue:43296", + "issue:43317", + "issue:43322", + "issue:43377", + "issue:43454", + "issue:43526", + "issue:43550", + "issue:43572", + "issue:43606", + "issue:43720", + "issue:43746", + "issue:43749", + "issue:43819", + "issue:43873", + "issue:43881", + "issue:43883", + "issue:44186", + "issue:44265", + "issue:44479", + "issue:44488", + "issue:44534", + "issue:44568", + "issue:44610", + "issue:44898", + "issue:44991", + "issue:45072", + "issue:45584", + "issue:45759", + "issue:45800", + "issue:45823", + "issue:45920", + "issue:45923", + "issue:46050", + "issue:46209", + "issue:46305", + "issue:46315" + ], + "soft_pairs": [ + "issue:43296|issue:45800", + "issue:44479|issue:45823", + "issue:43606|issue:44265", + "issue:40990|issue:45584", + "issue:43262|issue:43746", + "issue:35707|issue:41720", + "issue:43881|issue:44488", + "issue:34634|issue:35707", + "issue:43454|issue:43550", + "issue:43606|issue:43819", + "issue:39692|issue:40444", + "issue:41720|issue:45823", + "issue:44186|issue:44265", + "issue:43377|issue:44610", + "issue:46305|issue:46315", + "issue:43257|issue:45923", + "issue:44568|issue:45920", + "issue:43454|issue:45072", + "issue:42796|issue:46209", + "issue:43317|issue:43873", + "issue:43377|issue:44898", + "issue:43454|issue:43720", + "issue:40990|issue:42947", + "issue:42617|issue:42915", + "issue:43749|issue:44534", + "issue:43572|issue:45759", + "issue:43526|issue:43883", + "issue:43322|issue:46050", + "issue:41720|issue:43322", + "issue:43881|issue:44991" + ], + "prepared_review_unit_hash": "c6b1881d9ff7f47b2f9ba369fc3914e4ba15d410ebb43a1718faf0d7b1292810", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36790, + "estimated_input_tokens": 9198, + "estimated_eval_tokens": 18652 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is broadly noisy: most items are different model-specific loading, tokenizer, or device/offload regressions rather than true duplicates. I rejected all soft edges because none clearly share the same concrete bug path.", + "confidence": 0.78, + "canonical_issue_reason": "issue:43873 is the broadest concrete runtime bug in the set, centered on offloading/quantization behavior; it is the best umbrella candidate among otherwise mostly unrelated model-specific failures.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43873 is the most useful single triage anchor because it is a cross-cutting infrastructure bug rather than a one-off model report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43296", + "right": "issue:45800", + "accept": false, + "reason": "Different problems: a PaddleOCR-VL load failure versus a torch/transformers version incompatibility. No shared code path is evident." + }, + { + "left": "issue:44479", + "right": "issue:45823", + "accept": false, + "reason": "Both mention multimodal inference, but one is a video-input regression in Qwen variants and the other is a Gemma4 PLE device mismatch. Different failures." + }, + { + "left": "issue:43606", + "right": "issue:44265", + "accept": false, + "reason": "CPU offload device mismatch for Bark is unrelated to torch.export failures around torch_compilable_check." + }, + { + "left": "issue:40990", + "right": "issue:45584", + "accept": false, + "reason": "Both are generation-quality issues, but one is perplexity on gpt-oss and the other is Whisper empty-transcription handling after token alignment. Different bugs." + }, + { + "left": "issue:43262", + "right": "issue:43746", + "accept": false, + "reason": "Audio chat-template sampling-rate defaulting and GraniteSpeech PEFT checkpoint loading are separate issues affecting different paths." + }, + { + "left": "issue:35707", + "right": "issue:41720", + "accept": false, + "reason": "Progressive generation with inputs_embeds/past_key_values is unrelated to Qwen3 auto device-mapping asserts." + }, + { + "left": "issue:43881", + "right": "issue:44488", + "accept": false, + "reason": "Both are loading failures, but one is glm-4v-9b model loading and the other is tokenizer loading for cjvt/sleng-bert. No concrete duplicate evidence." + }, + { + "left": "issue:34634", + "right": "issue:35707", + "accept": false, + "reason": "BarkProcessor voice_preset and progressive generation with cached embeddings are unrelated bugs." + }, + { + "left": "issue:43454", + "right": "issue:43550", + "accept": false, + "reason": "A tied-weights generation bug in AyaVision is not the same as a torch.compile SDPA failure in Bamba." + }, + { + "left": "issue:43606", + "right": "issue:43819", + "accept": false, + "reason": "Device mismatch during Bark CPU offload is unrelated to DAC.from_latents mismatching forward due to missing STE." + }, + { + "left": "issue:39692", + "right": "issue:40444", + "accept": false, + "reason": "Both involve multimodal examples, but one is a docs/model-processor mismatch with quantization and the other is Qwen2.5-VL iterable-dataset finetuning with multiple images." + }, + { + "left": "issue:41720", + "right": "issue:45823", + "accept": false, + "reason": "Both involve device_map=auto, but the models and failure modes differ: cudaErrorAssert on A800 versus a forward-time device mismatch in Gemma4 PLE." + }, + { + "left": "issue:44186", + "right": "issue:44265", + "accept": false, + "reason": "Tokenizer crashes on NER padding/truncation are unrelated to torch.export and torch_compilable_check." + }, + { + "left": "issue:43377", + "right": "issue:44610", + "accept": false, + "reason": "Both are input-shape/processing issues, but MIMI batching versus OmDet-Turbo resolution mismatch are different concrete bugs." + }, + { + "left": "issue:46305", + "right": "issue:46315", + "accept": false, + "reason": "Sliding-window masking off-by-one and tokenizer conversion slowdown are unrelated regressions." + }, + { + "left": "issue:43257", + "right": "issue:45923", + "accept": false, + "reason": "MOE weight conversion during accelerate/deepspeed loading is not the same as a missing supports_gradient_checkpointing flag on a trust_remote_code model." + }, + { + "left": "issue:44568", + "right": "issue:45920", + "accept": false, + "reason": "Both are tokenizer regressions, but one is add_special_tokens/BOS-EOS handling for a specific tokenizer and the other is wrong token IDs across several models. Not the same bug." + }, + { + "left": "issue:43454", + "right": "issue:45072", + "accept": false, + "reason": "Garbage text from untied lm_head weights is unrelated to bfloat16 dtype mismatches in inference." + }, + { + "left": "issue:42796", + "right": "issue:46209", + "accept": false, + "reason": "Tokenizer BPE-marker handling and FP8 inference on B200 are different issues in different subsystems." + }, + { + "left": "issue:43317", + "right": "issue:43873", + "accept": false, + "reason": "Both concern offloading/quantization, but one is dequantized-model loading with gpu+cpu offload and the other is a broader quantized-offloading failure. Similar theme, not clearly the same concrete bug." + }, + { + "left": "issue:43377", + "right": "issue:44898", + "accept": false, + "reason": "MIMI padding-mask batching and Perceiver non-default-resolution classification are separate model-specific bugs." + }, + { + "left": "issue:43454", + "right": "issue:43720", + "accept": false, + "reason": "AyaVision weight tying and BitNet packed-weight unpacking are unrelated loading/model-init failures." + }, + { + "left": "issue:40990", + "right": "issue:42947", + "accept": false, + "reason": "High perplexity on a model benchmark and ineffective gradient checkpointing in PEFT LoRA are unrelated." + }, + { + "left": "issue:42617", + "right": "issue:42915", + "accept": false, + "reason": "3d_parallel.py execution failure and Qwen3Moe FineGrainedFP8Config failure are different problems." + }, + { + "left": "issue:43749", + "right": "issue:44534", + "accept": false, + "reason": "FSDP CPU RAM efficient loading and non-persistent buffer junk in v5 are both infrastructure-level, but the titles point to different failure modes and code paths." + }, + { + "left": "issue:43572", + "right": "issue:45759", + "accept": false, + "reason": "Missing pad_token_idx in StableLmConfig is distinct from unwrapping text_config for composite Qwen multimodal configs." + }, + { + "left": "issue:43526", + "right": "issue:43883", + "accept": false, + "reason": "BeitImageProcessorFast label reduction and Molmo missing all_tied_weights_keys are unrelated." + }, + { + "left": "issue:43322", + "right": "issue:46050", + "accept": false, + "reason": "Llava Next loading segfault and sinq save/load breakage are different failure classes." + }, + { + "left": "issue:41720", + "right": "issue:43322", + "accept": false, + "reason": "Both are loading/runtime crashes, but one is a Qwen3 auto-device-map assert and the other is a Llava Next segmentation fault. No shared bug path is shown." + }, + { + "left": "issue:43881", + "right": "issue:44991", + "accept": false, + "reason": "Model loading failure for glm-4v-9b and tokenizer loading failure for EMBEDDIA/est-roberta are not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 14, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:26413", + "issue:28530", + "issue:33666", + "issue:36010", + "issue:36331", + "issue:40990", + "issue:41720", + "issue:42617", + "issue:42915", + "issue:43065", + "issue:43295", + "issue:43317", + "issue:43404", + "issue:43450", + "issue:43531", + "issue:43550", + "issue:43572", + "issue:43577", + "issue:43606", + "issue:43646", + "issue:43708", + "issue:43720", + "issue:43873", + "issue:44008", + "issue:44186", + "issue:44387", + "issue:44423", + "issue:44466", + "issue:44610", + "issue:44671", + "issue:44743", + "issue:44756", + "issue:44877", + "issue:44898", + "issue:44977", + "issue:44991", + "issue:45072", + "issue:45161", + "issue:45357", + "issue:45406", + "issue:45632", + "issue:45684", + "issue:45701", + "issue:45704", + "issue:45823", + "issue:46291", + "issue:46402", + "issue:46665" + ], + "soft_pairs": [ + "issue:36331|issue:42617", + "issue:44387|issue:45704", + "issue:41720|issue:44977", + "issue:36331|issue:42915", + "issue:44877|issue:44991", + "issue:44466|issue:45357", + "issue:43450|issue:45701", + "issue:40990|issue:45701", + "issue:41720|issue:42617", + "issue:43065|issue:46402", + "issue:43873|issue:44756", + "issue:44186|issue:45072", + "issue:26413|issue:28530", + "issue:43550|issue:43720", + "issue:43577|issue:43708", + "issue:43550|issue:43606", + "issue:43295|issue:45701", + "issue:43646|issue:46665", + "issue:44186|issue:44610", + "issue:43404|issue:45357", + "issue:42915|issue:43317", + "issue:44610|issue:44898", + "issue:44008|issue:45823", + "issue:36010|issue:42617", + "issue:44423|issue:45406", + "issue:45632|issue:45684", + "issue:41720|issue:45161", + "issue:43531|issue:43572", + "issue:28530|issue:33666", + "issue:42915|issue:46291", + "issue:44671|issue:44743", + "issue:36331|issue:41720" + ], + "prepared_review_unit_hash": "b5121f60195d294fb494bda92b75b3a2dd3ecdadc3d6060689430fabfe03d2e9", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 37414, + "estimated_input_tokens": 9354, + "estimated_eval_tokens": 18964 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft matches mostly share only broad themes like loading, offloading, or trainer behavior, but they do not appear to be the same underlying bug. I would keep a single broad offloading/quantization issue as the best issue anchor, and reject all soft edges as duplicates.", + "confidence": 0.39, + "canonical_issue_reason": "issue:43873 is the best umbrella candidate because it is the broadest active report with inbound references and sits closest to the small subset of offloading/device-map/quantization-themed items in this set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43873 is the strongest cluster anchor overall: it is open, has the most external attention, and is the most general of the available issue titles.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:36331", + "right": "issue:42617", + "accept": false, + "reason": "Trainer kwarg mismatch vs 3D parallel script failure; different code paths and symptoms." + }, + { + "left": "issue:44387", + "right": "issue:45704", + "accept": false, + "reason": "Both mention memory problems, but one is int4 CUDA reserved memory/OOM and the other is an apex RMSNorm leak; different bugs." + }, + { + "left": "issue:41720", + "right": "issue:44977", + "accept": false, + "reason": "Auto device-map assert on Qwen3 vs flash-attention generation issues in Qwen3.5; not the same failure." + }, + { + "left": "issue:36331", + "right": "issue:42915", + "accept": false, + "reason": "Trainer compute_loss signature issue vs Qwen3-MoE FP8 config failure; unrelated." + }, + { + "left": "issue:44877", + "right": "issue:44991", + "accept": false, + "reason": "Both are loading-related, but one is strict config loading and the other is tokenizer loading; different underlying problems." + }, + { + "left": "issue:44466", + "right": "issue:45357", + "accept": false, + "reason": "Both involve serialization, but one is lm_head tying and the other is visual encoder key saving; different code paths." + }, + { + "left": "issue:43450", + "right": "issue:45701", + "accept": false, + "reason": "Video batch shape bug vs tokenization changes; unrelated subsystems." + }, + { + "left": "issue:40990", + "right": "issue:45701", + "accept": false, + "reason": "Perplexity anomaly could be affected by tokenization, but this is not the same concrete bug as a tokenization change report." + }, + { + "left": "issue:41720", + "right": "issue:42617", + "accept": false, + "reason": "Device-map crash vs multi-GPU training setup failure; different issues." + }, + { + "left": "issue:43065", + "right": "issue:46402", + "accept": false, + "reason": "Different Sam3 model components and failure modes; not the same bug." + }, + { + "left": "issue:43873", + "right": "issue:44756", + "accept": false, + "reason": "Both touch memory/offload behavior, but one is quantization offloading and the other is mmap OOM on Strix Halo; not the same issue." + }, + { + "left": "issue:44186", + "right": "issue:45072", + "accept": false, + "reason": "Tokenizer crash vs dtype mismatch in inference; unrelated." + }, + { + "left": "issue:26413", + "right": "issue:28530", + "accept": false, + "reason": "Checkpoint resume epoch-iterator error vs early stopping metric lookup failure; different trainer paths." + }, + { + "left": "issue:43550", + "right": "issue:43720", + "accept": false, + "reason": "torch.compile/SDPA failure vs packed-weight unpacking during accelerate loading; unrelated." + }, + { + "left": "issue:43577", + "right": "issue:43708", + "accept": false, + "reason": "Model dtype staying float32 vs max_steps recalculation on checkpoint resume; different bugs." + }, + { + "left": "issue:43550", + "right": "issue:43606", + "accept": false, + "reason": "Compilation/SDPA bug vs CPU offload device mismatch; different model/runtime failures." + }, + { + "left": "issue:43295", + "right": "issue:45701", + "accept": false, + "reason": "Custom processor/tokenizer regression vs tokenization behavior change; not the same concrete bug." + }, + { + "left": "issue:43646", + "right": "issue:46665", + "accept": false, + "reason": "Both concern custom loading APIs, but one is general model initialization breakage and the other is from_pretrained behavior inside Python classes; too different to merge." + }, + { + "left": "issue:44186", + "right": "issue:44610", + "accept": false, + "reason": "Different models and different preprocessing mismatches; not duplicates." + }, + { + "left": "issue:43404", + "right": "issue:45357", + "accept": false, + "reason": "Untied lm_head in Mistral3 vs incorrect visual encoder keys in Qwen3.5 save_pretrained; different defects." + }, + { + "left": "issue:42915", + "right": "issue:43317", + "accept": false, + "reason": "Qwen3-MoE FP8 failure vs dequantized model offload load failure; only a broad loading/quantization theme overlaps." + }, + { + "left": "issue:44610", + "right": "issue:44898", + "accept": false, + "reason": "Both are image-size/preprocessing issues, but they affect different models and different expected resolutions." + }, + { + "left": "issue:44008", + "right": "issue:45823", + "accept": false, + "reason": "Gemma3n variable-name collision in forward vs Gemma4 PLE device mismatch; different models and root causes." + }, + { + "left": "issue:36010", + "right": "issue:42617", + "accept": false, + "reason": "ImportError for GenerationMixin vs inability to run a training script; unrelated." + }, + { + "left": "issue:44423", + "right": "issue:45406", + "accept": false, + "reason": "Continuous-batching multimodal crash vs Gemma4Processor missing _tokenizer; different failures." + }, + { + "left": "issue:45632", + "right": "issue:45684", + "accept": false, + "reason": "Cache-path collision vs read-only permission propagation on save_pretrained; unrelated filesystem bugs." + }, + { + "left": "issue:41720", + "right": "issue:45161", + "accept": false, + "reason": "Auto device mapping assert vs tensor-parallel-only failure in GPT-OSS MoE; different issues." + }, + { + "left": "issue:43531", + "right": "issue:43572", + "accept": false, + "reason": "Qwen3-MoE sliding-window bug vs StableLmConfig pad_token_idx missing after update; unrelated." + }, + { + "left": "issue:28530", + "right": "issue:33666", + "accept": false, + "reason": "Early stopping metric handling vs Qwen2-VL multi-GPU training; different areas." + }, + { + "left": "issue:42915", + "right": "issue:46291", + "accept": false, + "reason": "Qwen3-MoE FP8 loading vs kernels dependency/version requirement import failure; unrelated." + }, + { + "left": "issue:44671", + "right": "issue:44743", + "accept": false, + "reason": "CamemBERT masked-LM regression vs Qwen recurrent-state reset bug; different model families and code paths." + }, + { + "left": "issue:36331", + "right": "issue:41720", + "accept": false, + "reason": "Trainer loss-signature breakage vs Qwen3 auto device-map crash; unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 15, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28530", + "issue:29159", + "issue:30064", + "issue:33357", + "issue:34567", + "issue:34634", + "issue:35707", + "issue:36032", + "issue:41720", + "issue:42490", + "issue:42915", + "issue:43316", + "issue:43322", + "issue:43329", + "issue:43388", + "issue:43526", + "issue:43531", + "issue:43540", + "issue:43550", + "issue:43606", + "issue:43653", + "issue:43720", + "issue:43746", + "issue:43782", + "issue:43873", + "issue:43881", + "issue:44077", + "issue:44186", + "issue:44361", + "issue:44387", + "issue:44451", + "issue:44492", + "issue:44509", + "issue:44534", + "issue:44589", + "issue:44625", + "issue:44913", + "issue:44991", + "issue:45059", + "issue:45357", + "issue:45406", + "issue:45464", + "issue:45701", + "issue:45704", + "issue:45759", + "issue:45859", + "issue:46402", + "issue:46665" + ], + "soft_pairs": [ + "issue:44186|issue:44361", + "issue:43526|issue:43881", + "issue:43316|issue:44913", + "issue:28530|issue:30064", + "issue:42915|issue:43322", + "issue:33357|issue:35707", + "issue:43540|issue:43782", + "issue:30064|issue:34634", + "issue:43873|issue:45704", + "issue:43550|issue:43653", + "issue:44387|issue:45701", + "issue:43606|issue:43720", + "issue:44492|issue:44509", + "issue:29159|issue:36032", + "issue:44534|issue:46665", + "issue:43531|issue:45759", + "issue:41720|issue:43746", + "issue:42490|issue:43329", + "issue:43606|issue:43653", + "issue:43388|issue:45059", + "issue:45406|issue:45464", + "issue:34567|issue:35707", + "issue:34634|issue:41720", + "issue:43531|issue:44589", + "issue:44451|issue:44991", + "issue:45759|issue:45859", + "issue:45357|issue:46402", + "issue:44077|issue:44625" + ], + "prepared_review_unit_hash": "0d4eeee68340817210fe5b45d2c97b240b47022de5c095ac9c7d8948317f9a65", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36011, + "estimated_input_tokens": 9003, + "estimated_eval_tokens": 18262 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose semantic grouping of mostly unrelated Transformers issues; none of the soft edges look like true duplicates. The most representative issue is the broad offloading/quantization report.", + "confidence": 0.93, + "canonical_issue_reason": "issue:43873 has the broadest framing and the strongest engagement signal in the set, making it the best representative of the cluster\u2019s loading/offloading/quantization theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43873 is the best overall issue candidate because it is broader than the model-specific reports and has the most discussion/inbound references.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44186", + "right": "issue:44361", + "accept": false, + "reason": "Different tokenizer classes, different models, and different failure modes; both are tokenizer bugs but not the same underlying issue." + }, + { + "left": "issue:43526", + "right": "issue:43881", + "accept": false, + "reason": "One is a BeitImageProcessor label-reduction bug; the other is an unrelated Qwen loading failure." + }, + { + "left": "issue:43316", + "right": "issue:44913", + "accept": false, + "reason": "Both are config consistency problems, but they affect different configs and fields with different root causes." + }, + { + "left": "issue:28530", + "right": "issue:30064", + "accept": false, + "reason": "Early-stopping metric selection and void segmentation-map processing are unrelated code paths." + }, + { + "left": "issue:42915", + "right": "issue:43322", + "accept": false, + "reason": "Different models and failures: FP8 config support vs a segmentation fault while loading Llava Next." + }, + { + "left": "issue:33357", + "right": "issue:35707", + "accept": false, + "reason": "MacOS bus error on CLIP loading is unrelated to progressive generation with inputs_embeds/past_key_values." + }, + { + "left": "issue:43540", + "right": "issue:43782", + "accept": false, + "reason": "Both involve Qwen multimodal models, but one is video-input processing and the other is a from_pretrained weight_only load error." + }, + { + "left": "issue:30064", + "right": "issue:34634", + "accept": false, + "reason": "Void segmentation maps and Bark voice_preset handling are unrelated processor bugs." + }, + { + "left": "issue:43873", + "right": "issue:45704", + "accept": false, + "reason": "Quantization/offloading behavior and a T5 RMSNorm memory leak are different bugs in different subsystems." + }, + { + "left": "issue:43550", + "right": "issue:43653", + "accept": false, + "reason": "A torch.compile SDPA failure in Bamba is unrelated to BigBirdTokenizer special-token registration." + }, + { + "left": "issue:44387", + "right": "issue:45701", + "accept": false, + "reason": "CUDA reserved-memory/OOM under int4 quantization is not the same as a tokenization-version regression." + }, + { + "left": "issue:43606", + "right": "issue:43720", + "accept": false, + "reason": "Both touch loading/offload, but Bark CPU-offload device mismatch and BitNet packed-weight unpacking are different concrete bugs." + }, + { + "left": "issue:44492", + "right": "issue:44509", + "accept": false, + "reason": "A cache-strategy typo and stale docs for removed pipeline tasks are unrelated." + }, + { + "left": "issue:29159", + "right": "issue:36032", + "accept": false, + "reason": "Slow-vs-fast tokenizer inconsistency is different from the T5Tokenizer add_special_tokens name conflict." + }, + { + "left": "issue:44534", + "right": "issue:46665", + "accept": false, + "reason": "Non-persistent buffer initialization in v5 is unrelated to from_pretrained behavior inside Python classes." + }, + { + "left": "issue:43531", + "right": "issue:45759", + "accept": false, + "reason": "Sliding-window behavior in Qwen3-MoE and text_config unwrapping in composite Qwen configs are different bugs." + }, + { + "left": "issue:41720", + "right": "issue:43746", + "accept": false, + "reason": "Auto device mapping CUDA asserts and PEFT-adapter checkpoint loading are unrelated failures." + }, + { + "left": "issue:42490", + "right": "issue:43329", + "accept": false, + "reason": "A trailing-slash import warning is unrelated to undefined variables in multimodal token counting." + }, + { + "left": "issue:43606", + "right": "issue:43653", + "accept": false, + "reason": "CPU-offload device mismatch and BigBird mask-token registration do not share the same code path." + }, + { + "left": "issue:43388", + "right": "issue:45059", + "accept": false, + "reason": "Metric-gathering last-batch truncation and SAM3 text/bounding-box behavior are unrelated." + }, + { + "left": "issue:45406", + "right": "issue:45464", + "accept": false, + "reason": "Serving crashes in Gemma4Processor and Qwen3.5 streaming inference failures are different API/model bugs." + }, + { + "left": "issue:34567", + "right": "issue:35707", + "accept": false, + "reason": "Trainer token-count bookkeeping is unrelated to progressive generation with cached states." + }, + { + "left": "issue:34634", + "right": "issue:41720", + "accept": false, + "reason": "Bark voice_preset handling and Qwen3 device-mapping CUDA asserts are unrelated." + }, + { + "left": "issue:43531", + "right": "issue:44589", + "accept": false, + "reason": "Qwen3-MoE sliding-window behavior and missing Float8 storage are different issues." + }, + { + "left": "issue:44451", + "right": "issue:44991", + "accept": false, + "reason": "Both are model-loading regressions, but they affect different models and likely different tokenizer/config failures." + }, + { + "left": "issue:45759", + "right": "issue:45859", + "accept": false, + "reason": "Composite-config unwrapping and CPU-offload incompatibility are distinct Qwen-related bugs." + }, + { + "left": "issue:45357", + "right": "issue:46402", + "accept": false, + "reason": "Incorrect visual-encoder save keys and missing text-encoder loads are opposite-direction multimodal serialization bugs with different models." + }, + { + "left": "issue:44077", + "right": "issue:44625", + "accept": false, + "reason": "Optional post_init restrictions and num_labels propagation are different configuration issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 16, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:30064", + "issue:36010", + "issue:39692", + "issue:41720", + "issue:42886", + "issue:43381", + "issue:43421", + "issue:43531", + "issue:43644", + "issue:43645", + "issue:43653", + "issue:43746", + "issue:43782", + "issue:43844", + "issue:43873", + "issue:43927", + "issue:43994", + "issue:44062", + "issue:44186", + "issue:44368", + "issue:44451", + "issue:44514", + "issue:44545", + "issue:44610", + "issue:44625", + "issue:44671", + "issue:44843", + "issue:44898", + "issue:44918", + "issue:44936", + "issue:44987", + "issue:45042", + "issue:45072", + "issue:45081", + "issue:45356", + "issue:45357", + "issue:45381", + "issue:45479", + "issue:45704", + "issue:45759", + "issue:45907", + "issue:45923", + "issue:46032", + "issue:46050", + "issue:46463", + "issue:46655", + "issue:46665", + "issue:46693" + ], + "soft_pairs": [ + "issue:44625|issue:45479", + "issue:43644|issue:46665", + "issue:44898|issue:45072", + "issue:44062|issue:44451", + "issue:44987|issue:45042", + "issue:43381|issue:43844", + "issue:44368|issue:45357", + "issue:39692|issue:44610", + "issue:43531|issue:43645", + "issue:41720|issue:45704", + "issue:46655|issue:46693", + "issue:43746|issue:46050", + "issue:45704|issue:45923", + "issue:44918|issue:44936", + "issue:43421|issue:43927", + "issue:43381|issue:45704", + "issue:42886|issue:44843", + "issue:45759|issue:45923", + "issue:44514|issue:44545", + "issue:46032|issue:46463", + "issue:39692|issue:43873", + "issue:43746|issue:43873", + "issue:43994|issue:44671", + "issue:43421|issue:43653", + "issue:30064|issue:36010", + "issue:43782|issue:45381", + "issue:43421|issue:44186", + "issue:45081|issue:45356", + "issue:45356|issue:45907" + ], + "prepared_review_unit_hash": "3486db22b1d9289622ca0b018076784134b03457d12be58a7cd8a8fdc9a83041", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36803, + "estimated_input_tokens": 9201, + "estimated_eval_tokens": 18658 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated single-bug reports across different models or subsystems. Only two soft pairs look like true duplicates: the HF_HUB_OFFLINE tokenizer/cache regression (42886/44843) and the exact Qwen2_5_VLProcessor batched padding crash (44514/44545).", + "confidence": 0.79, + "canonical_issue_reason": "issue:44843 is the best canonical issue because it names the concrete failing code path (_patch_mistral_regex calling model_info() unconditionally) and clearly explains the HF_HUB_OFFLINE breakage.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44843 is the strongest overall issue candidate: clear root cause, clear user-facing failure, and the accepted duplicate pair points to the same offline tokenizer bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44625", + "right": "issue:45479", + "accept": false, + "reason": "Different bugs: one is config propagation for num_labels, the other is a zero-loss classification pathology." + }, + { + "left": "issue:43644", + "right": "issue:46665", + "accept": false, + "reason": "Both mention loading/model behavior, but one is non-persistent buffers and the other is from_pretrained behavior in classes; not the same bug." + }, + { + "left": "issue:44898", + "right": "issue:45072", + "accept": false, + "reason": "Different failure modes and code paths: Perceiver image-size handling vs bfloat16 dtype mismatch in other models." + }, + { + "left": "issue:44062", + "right": "issue:44451", + "accept": false, + "reason": "The first is a tokenizer AddedToken TypeError; the second is a model-loading failure for a specific checkpoint." + }, + { + "left": "issue:44987", + "right": "issue:45042", + "accept": false, + "reason": "One is a model-loading regression for a specific repo, the other is an image-processor dependency regression." + }, + { + "left": "issue:43381", + "right": "issue:43844", + "accept": false, + "reason": "Eval-mode gradient checkpointing limitation is unrelated to the ZeRO-3 gradient blow-up issue." + }, + { + "left": "issue:44368", + "right": "issue:45357", + "accept": false, + "reason": "A warning about tie_word_embeddings is unrelated to incorrect visual encoder keys on save_pretrained." + }, + { + "left": "issue:39692", + "right": "issue:44610", + "accept": false, + "reason": "Doc example/model mismatch for SigLIP2 is different from OmDet-Turbo producing the wrong image resolution." + }, + { + "left": "issue:43531", + "right": "issue:43645", + "accept": false, + "reason": "Sliding-window behavior in Qwen3-MoE is unrelated to notebook custom-model initialization in v5.0.0." + }, + { + "left": "issue:41720", + "right": "issue:45704", + "accept": false, + "reason": "CUDA assert with Qwen3 auto device mapping is not the same bug as T5 apex RMSNorm memory leak." + }, + { + "left": "issue:46655", + "right": "issue:46693", + "accept": false, + "reason": "Video-processor padding calculation and FA2 long-context performance regression are different issues." + }, + { + "left": "issue:43746", + "right": "issue:46050", + "accept": false, + "reason": "PEFT checkpoint loading for GraniteSpeech is unrelated to sinq quantization save/load breakage." + }, + { + "left": "issue:45704", + "right": "issue:45923", + "accept": false, + "reason": "A memory leak in T5 apex usage is unrelated to a missing supports_gradient_checkpointing flag." + }, + { + "left": "issue:44918", + "right": "issue:44936", + "accept": false, + "reason": "TRL unpacking failure and trainer.evaluate() after train() are distinct trainer failures." + }, + { + "left": "issue:43421", + "right": "issue:43927", + "accept": false, + "reason": "Runtime special-token post-processing and DiaConfig save/load corruption are different tokenizer/config bugs." + }, + { + "left": "issue:43381", + "right": "issue:45704", + "accept": false, + "reason": "Eval-mode checkpointing restriction is not the same as the T5 apex memory leak." + }, + { + "left": "issue:42886", + "right": "issue:44843", + "accept": true, + "reason": "Same underlying offline-tokenizer bug: both describe HF_HUB_OFFLINE failures caused by an unconditional model_info() path in tokenizer loading." + }, + { + "left": "issue:45759", + "right": "issue:45923", + "accept": false, + "reason": "Composite Qwen config handling and a missing gradient-checkpointing flag are unrelated." + }, + { + "left": "issue:44514", + "right": "issue:44545", + "accept": true, + "reason": "Exact same Qwen2_5_VLProcessor.apply_chat_template batched padding=False crash; these are duplicates of the same bug report." + }, + { + "left": "issue:46032", + "right": "issue:46463", + "accept": false, + "reason": "Mamba2Mixer use_cache correctness is unrelated to T5 decoder-input error messaging." + }, + { + "left": "issue:39692", + "right": "issue:43873", + "accept": false, + "reason": "SigLIP2 documentation/model mismatch is unrelated to quantization offloading behavior." + }, + { + "left": "issue:43746", + "right": "issue:43873", + "accept": false, + "reason": "Local PEFT checkpoint loading and quantization offloading are different subsystems and failures." + }, + { + "left": "issue:43994", + "right": "issue:44671", + "accept": false, + "reason": "Different model families and symptoms: SigLIP2 nonsensical outputs vs CamemBERT masked LM predictions in v5." + }, + { + "left": "issue:43421", + "right": "issue:43653", + "accept": false, + "reason": "Special-token post-processor updates and BigBirdTokenizer mask-token registration are not the same defect." + }, + { + "left": "issue:30064", + "right": "issue:36010", + "accept": false, + "reason": "Image processor segmentation-map handling is unrelated to the GenerationMixin import error." + }, + { + "left": "issue:43782", + "right": "issue:45381", + "accept": false, + "reason": "Qwen3VL weight_only loading failure and Qwen2.5-VL vision_position_ids bug are different issues." + }, + { + "left": "issue:45081", + "right": "issue:45356", + "accept": false, + "reason": "Both mention fix_mistral_regex, but one crashes on Mistral tokenizer loading while the other is a Kimi-K2.5 codec/regression report." + }, + { + "left": "issue:45356", + "right": "issue:45907", + "accept": false, + "reason": "Tokenizer codec regression is unrelated to list_repo_files not forwarding revision." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the soft-edge calls are conservative overall. The two accepted duplicate pairs are supported by the titles and align with the same underlying bug classes (offline tokenizer loading and the Qwen2_5_VLProcessor batched padding crash). The remaining pairs are appropriately rejected as different subsystems or failure modes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 17, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:30064", + "issue:36331", + "issue:39692", + "issue:41720", + "issue:43295", + "issue:43322", + "issue:43335", + "issue:43531", + "issue:43540", + "issue:43550", + "issue:43596", + "issue:43611", + "issue:43618", + "issue:43643", + "issue:43644", + "issue:43653", + "issue:43697", + "issue:43720", + "issue:43749", + "issue:43756", + "issue:43819", + "issue:43927", + "issue:44008", + "issue:44062", + "issue:44186", + "issue:44220", + "issue:44442", + "issue:44448", + "issue:44485", + "issue:44488", + "issue:44509", + "issue:44661", + "issue:44671", + "issue:44821", + "issue:44843", + "issue:44877", + "issue:44898", + "issue:44991", + "issue:45072", + "issue:45081", + "issue:45084", + "issue:45381", + "issue:45685", + "issue:45834", + "issue:46294", + "issue:46665", + "issue:46693" + ], + "soft_pairs": [ + "issue:43720|issue:43819", + "issue:43653|issue:43720", + "issue:43596|issue:44220", + "issue:43550|issue:45072", + "issue:43295|issue:45834", + "issue:43550|issue:43927", + "issue:44062|issue:44488", + "issue:43540|issue:46294", + "issue:45381|issue:46693", + "issue:43618|issue:43697", + "issue:43531|issue:43643", + "issue:43611|issue:46665", + "issue:44220|issue:44661", + "issue:43653|issue:43819", + "issue:44186|issue:44898", + "issue:30064|issue:36331", + "issue:41720|issue:44991", + "issue:43643|issue:44877", + "issue:43550|issue:43819", + "issue:43335|issue:43756", + "issue:44821|issue:45084", + "issue:43540|issue:44008", + "issue:44843|issue:45081", + "issue:39692|issue:45834", + "issue:44448|issue:44671", + "issue:44186|issue:44442", + "issue:44485|issue:44509", + "issue:43644|issue:43749", + "issue:43322|issue:45685" + ], + "prepared_review_unit_hash": "2e32a382537981ed329ffc22a40f2e29b9817e8dc8f4fd6c8e9817486742e66a", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35876, + "estimated_input_tokens": 8969, + "estimated_eval_tokens": 18194 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a broad mix of unrelated Transformers bugs and regressions; none of the soft pairs look like the same underlying issue. I would not collapse any of the candidate pairs into duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43720", + "right": "issue:43819", + "accept": false, + "reason": "Different models and failure modes: accelerate loading of packed BitNet weights vs DAC latent decoding/STE mismatch." + }, + { + "left": "issue:43653", + "right": "issue:43720", + "accept": false, + "reason": "Tokenizer special-token registration bug vs BitNet packed-weight loading bug; no shared code path." + }, + { + "left": "issue:43596", + "right": "issue:44220", + "accept": false, + "reason": "BERT/DeepSpeed ZeRO3 init index error is unrelated to audio fbank feature extraction." + }, + { + "left": "issue:43550", + "right": "issue:45072", + "accept": false, + "reason": "torch.compile SDPA failure in Bamba is unrelated to bfloat16 dtype mismatch in SwitchTransformers/TimmWrapperModel." + }, + { + "left": "issue:43295", + "right": "issue:45834", + "accept": false, + "reason": "Both are multimodal indexing problems, but one is processor/tokenizer regression and the other is OCR-length handling; different bugs." + }, + { + "left": "issue:43550", + "right": "issue:43927", + "accept": false, + "reason": "Different subsystems: SDPA compile failure vs config save/load losing custom token IDs." + }, + { + "left": "issue:44062", + "right": "issue:44488", + "accept": false, + "reason": "AddedToken constructor collision is a tokenizer API bug; loading `cjvt/sleng-bert` is a model-specific loading failure." + }, + { + "left": "issue:43540", + "right": "issue:46294", + "accept": false, + "reason": "Both involve video/Qwen models, but one is a value error in Qwen3OmniMoe processing and the other is chat-template feature/token mismatch in Qwen3.5-9B." + }, + { + "left": "issue:45381", + "right": "issue:46693", + "accept": false, + "reason": "Qwen2.5-VL video position IDs bug is unrelated to FA2 long-context performance regression." + }, + { + "left": "issue:43618", + "right": "issue:43697", + "accept": false, + "reason": "CLIP attentions assignment regression and RTDetr output drift are different model-specific regressions." + }, + { + "left": "issue:43531", + "right": "issue:43643", + "accept": false, + "reason": "Sliding-window behavior in Qwen3-MoE is unrelated to `trust_remote_code` config-field loss." + }, + { + "left": "issue:43611", + "right": "issue:46665", + "accept": false, + "reason": "base_model_prefix loading breakage is a distinct model-loading regression from `from_pretrained` behaving inconsistently inside Python classes." + }, + { + "left": "issue:44220", + "right": "issue:44661", + "accept": false, + "reason": "Audio fbank feature extraction bug is unrelated to `add-new-model-like` failing on tokenizer mapping names." + }, + { + "left": "issue:43653", + "right": "issue:43819", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and DAC latent reconstruction are unrelated." + }, + { + "left": "issue:44186", + "right": "issue:44898", + "accept": false, + "reason": "LayoutLMv2 tokenizer padding/NER crash is unrelated to Perceiver image-classification interpolation behavior." + }, + { + "left": "issue:30064", + "right": "issue:36331", + "accept": false, + "reason": "Image processor segmentation-map failure is unrelated to CustomTrainer compute_loss signature mismatch." + }, + { + "left": "issue:41720", + "right": "issue:44991", + "accept": false, + "reason": "Qwen3 auto device-mapping CUDA assert on A800 is unrelated to tokenizer loading failure for est-roberta." + }, + { + "left": "issue:43643", + "right": "issue:44877", + "accept": false, + "reason": "Both are config-loading regressions, but one drops fields with `trust_remote_code` and the other rejects `granite_speech` via strict config checks." + }, + { + "left": "issue:43550", + "right": "issue:43819", + "accept": false, + "reason": "Bamba compile/SDPA failure and DAC forward/from_latents mismatch are different concrete bugs." + }, + { + "left": "issue:43335", + "right": "issue:43756", + "accept": false, + "reason": "SwitchTransformers sparse-layer construction and Smollm3 RoPE dropping are unrelated model-configuration issues." + }, + { + "left": "issue:44821", + "right": "issue:45084", + "accept": false, + "reason": "AutoImageProcessor URL loading and template-node compilation errors have no shared root cause." + }, + { + "left": "issue:43540", + "right": "issue:44008", + "accept": false, + "reason": "Qwen3OmniMoe video input error is unrelated to Gemma3n variable-name collision in `forward()`." + }, + { + "left": "issue:44843", + "right": "issue:45081", + "accept": false, + "reason": "Both touch `_patch_mistral_regex`, but one is an offline hub call problem and the other is a backend_tokenizer attribute crash; not the same bug." + }, + { + "left": "issue:39692", + "right": "issue:45834", + "accept": false, + "reason": "SigLIP2 docs example errors are unrelated to Kosmos2.5 long-OCR index errors." + }, + { + "left": "issue:44448", + "right": "issue:44671", + "accept": false, + "reason": "Different model regressions: Pegasus output drift vs CamemBERT masked-LM prediction errors." + }, + { + "left": "issue:44186", + "right": "issue:44442", + "accept": false, + "reason": "LayoutLMv2 NER/padding crash is unrelated to FastSpeech2ConformerTokenizer loading failure." + }, + { + "left": "issue:44485", + "right": "issue:44509", + "accept": false, + "reason": "RoPE implementation discussion is unrelated to stale v5 docs mentioning removed pipeline tasks." + }, + { + "left": "issue:43644", + "right": "issue:43749", + "accept": false, + "reason": "Non-persistent buffer junk initialization and FSDP CPU RAM efficient loading are related to loading, but not the same concrete failure." + }, + { + "left": "issue:43322", + "right": "issue:45685", + "accept": false, + "reason": "Llava Next segfault and MPS histogram Int error are completely different runtime failures." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 18, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28218", + "issue:29159", + "issue:34634", + "issue:36010", + "issue:43388", + "issue:43421", + "issue:43540", + "issue:43577", + "issue:43582", + "issue:43606", + "issue:43645", + "issue:43716", + "issue:43720", + "issue:43749", + "issue:43782", + "issue:43818", + "issue:43825", + "issue:43827", + "issue:43950", + "issue:43994", + "issue:44008", + "issue:44291", + "issue:44479", + "issue:44561", + "issue:44610", + "issue:44671", + "issue:44805", + "issue:44811", + "issue:44936", + "issue:44977", + "issue:44991", + "issue:45020", + "issue:45072", + "issue:45183", + "issue:45381", + "issue:45479", + "issue:45584", + "issue:45701", + "issue:45834", + "issue:45987", + "issue:46032", + "issue:46192", + "issue:46291", + "issue:46294", + "issue:46463", + "issue:46512", + "issue:46665" + ], + "soft_pairs": [ + "issue:34634|issue:36010", + "issue:43606|issue:45072", + "issue:45183|issue:45479", + "issue:45584|issue:45834", + "issue:43716|issue:44008", + "issue:43950|issue:45987", + "issue:44479|issue:45834", + "issue:43582|issue:46512", + "issue:43388|issue:46032", + "issue:44991|issue:46291", + "issue:43577|issue:43818", + "issue:43825|issue:43994", + "issue:46294|issue:46463", + "issue:43782|issue:44977", + "issue:44561|issue:45020", + "issue:43421|issue:44811", + "issue:44805|issue:44936", + "issue:44610|issue:45072", + "issue:43720|issue:45072", + "issue:43540|issue:45381", + "issue:43825|issue:43827", + "issue:28218|issue:29159", + "issue:43749|issue:44291", + "issue:43645|issue:46665", + "issue:43577|issue:43582", + "issue:45987|issue:46192", + "issue:44671|issue:45701" + ], + "prepared_review_unit_hash": "0d23d704e96e1d43a9a0a7256de1bace2a6fcdf792408638049e340ca7f2c307", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 35652, + "estimated_input_tokens": 8913, + "estimated_eval_tokens": 18082 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most items are unrelated single issues across tokenizer, model-loading, dtype, and video/audio subsystems. The only likely duplicate pair is the tokenizer spacing bug vs. the broader slow/fast tokenizer inconsistency report.", + "confidence": 0.84, + "canonical_issue_reason": "issue:28218 is the clearest concrete symptom report for the tokenizer added-token spacing bug; issue:29159 reads as a broader description of the same tokenizer inconsistency.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:28218 is the best representative because it is specific, actionable, and likely the more concrete anchor for the duplicate pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:34634", + "right": "issue:36010", + "accept": false, + "reason": "Different problems: BarkProcessor voice_preset vs GenerationMixin import failure." + }, + { + "left": "issue:43606", + "right": "issue:45072", + "accept": false, + "reason": "Different subsystems and failures: CPU offload device mismatch vs bfloat16 dtype mismatch." + }, + { + "left": "issue:45183", + "right": "issue:45479", + "accept": false, + "reason": "Validation error messaging vs sequence-classification loss behavior; not the same bug." + }, + { + "left": "issue:45584", + "right": "issue:45834", + "accept": false, + "reason": "Whisper empty transcription failure and Kosmos2.5 OCR index error are unrelated." + }, + { + "left": "issue:43716", + "right": "issue:44008", + "accept": false, + "reason": "Different model families and root causes: image preprocessor dtype mismatch vs variable name collision in Gemma3n forward." + }, + { + "left": "issue:43950", + "right": "issue:45987", + "accept": false, + "reason": "from_pretrained buffer corruption and StaticCache seq_length return type are unrelated." + }, + { + "left": "issue:44479", + "right": "issue:45834", + "accept": false, + "reason": "Different video regression in Qwen models vs Kosmos2.5 long-OCR index error." + }, + { + "left": "issue:43582", + "right": "issue:46512", + "accept": false, + "reason": "Apple Silicon allocator TypeError vs stale config.dtype after from_config; different issues." + }, + { + "left": "issue:43388", + "right": "issue:46032", + "accept": false, + "reason": "Metric gathering label truncation and Mamba2 cache correctness are unrelated." + }, + { + "left": "issue:44991", + "right": "issue:46291", + "accept": false, + "reason": "Tokenizer loading failure for a specific model vs importing pipelines needing kernels version/revision." + }, + { + "left": "issue:43577", + "right": "issue:43818", + "accept": false, + "reason": "BLIP2 dtype loading issue and Video-LLaVA architecture issue are unrelated." + }, + { + "left": "issue:43825", + "right": "issue:43994", + "accept": false, + "reason": "Translation-support error message vs SigLIP2 inference corruption; same area but not same bug." + }, + { + "left": "issue:46294", + "right": "issue:46463", + "accept": false, + "reason": "Qwen video-token mismatch and T5 decoder validation error are different concrete failures." + }, + { + "left": "issue:43782", + "right": "issue:44977", + "accept": false, + "reason": "Qwen3VL weight_only loading error vs Qwen3.5 flash-attention generation issue." + }, + { + "left": "issue:44561", + "right": "issue:45020", + "accept": false, + "reason": "Both mention remote_code compatibility, but they describe different API breakages and are too broad to merge." + }, + { + "left": "issue:43421", + "right": "issue:44811", + "accept": false, + "reason": "Runtime special-token post-processor update bug vs Whisper batch_decode skip_special_tokens bug." + }, + { + "left": "issue:44805", + "right": "issue:44936", + "accept": false, + "reason": "Mask shape IndexError vs trainer.evaluate() failure after train(); no clear duplicate relation." + }, + { + "left": "issue:44610", + "right": "issue:45072", + "accept": false, + "reason": "OmDet-Turbo input-size mismatch and dtype mismatch in other models are unrelated." + }, + { + "left": "issue:43720", + "right": "issue:45072", + "accept": false, + "reason": "Packed-weights unpacking failure in accelerate loading vs dtype mismatch in inference." + }, + { + "left": "issue:43540", + "right": "issue:45381", + "accept": false, + "reason": "Video input processing error in Qwen3OmniMoe vs Qwen2.5-VL vision_position_ids regression." + }, + { + "left": "issue:43825", + "right": "issue:43827", + "accept": false, + "reason": "One is an error-message issue, the other is stale documentation; related topic but not the same bug." + }, + { + "left": "issue:28218", + "right": "issue:29159", + "accept": true, + "reason": "Both describe the same tokenizer added-token behavior problem: extra spacing / inconsistent slow-vs-fast tokenizer handling." + }, + { + "left": "issue:43749", + "right": "issue:44291", + "accept": false, + "reason": "Different model-loading failures: FSDP CPU RAM efficient loading vs unexpected _is_hf_initialized arg with init_empty_weights." + }, + { + "left": "issue:43645", + "right": "issue:46665", + "accept": false, + "reason": "Custom models in Jupyter notebook initialization vs from_pretrained inside Python classes are different reproducibility issues." + }, + { + "left": "issue:43577", + "right": "issue:43582", + "accept": false, + "reason": "BLIP2 dtype mismatch and Apple Silicon allocator TypeError are unrelated." + }, + { + "left": "issue:45987", + "right": "issue:46192", + "accept": false, + "reason": "Cache length return-type bug and return_tensors being ignored are different API regressions." + }, + { + "left": "issue:44671", + "right": "issue:45701", + "accept": false, + "reason": "CamemBERT masked LM regression and general tokenization changes are not the same underlying bug." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays appropriately cautious. The accepted tokenizer pair is plausible from the titles, and the other soft-edge verdicts are conservative rather than overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 19, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:34634", + "issue:36010", + "issue:36331", + "issue:42175", + "issue:42490", + "issue:43257", + "issue:43262", + "issue:43329", + "issue:43452", + "issue:43526", + "issue:43531", + "issue:43550", + "issue:43582", + "issue:43638", + "issue:43645", + "issue:43653", + "issue:43697", + "issue:43720", + "issue:43742", + "issue:43782", + "issue:43819", + "issue:43906", + "issue:43927", + "issue:44060", + "issue:44368", + "issue:44554", + "issue:44589", + "issue:44610", + "issue:44857", + "issue:44912", + "issue:44936", + "issue:44991", + "issue:45003", + "issue:45020", + "issue:45042", + "issue:45081", + "issue:45084", + "issue:45325", + "issue:45372", + "issue:45406", + "issue:45538", + "issue:45600", + "issue:46209", + "issue:46285", + "issue:46291", + "issue:46326", + "issue:46697", + "issue:46728" + ], + "soft_pairs": [ + "issue:42175|issue:45081", + "issue:34634|issue:36331", + "issue:45003|issue:46285", + "issue:46697|issue:46728", + "issue:43653|issue:44912", + "issue:43582|issue:44857", + "issue:43262|issue:43819", + "issue:44589|issue:45042", + "issue:43782|issue:45325", + "issue:43742|issue:45020", + "issue:45081|issue:45406", + "issue:45372|issue:46326", + "issue:45084|issue:45538", + "issue:43550|issue:44912", + "issue:43526|issue:43697", + "issue:43329|issue:45600", + "issue:43526|issue:44554", + "issue:44060|issue:44368", + "issue:43452|issue:44991", + "issue:43257|issue:43329", + "issue:36010|issue:36331", + "issue:36010|issue:43645", + "issue:43906|issue:46209", + "issue:43819|issue:43927", + "issue:43531|issue:45042", + "issue:43638|issue:44936", + "issue:42175|issue:46291", + "issue:43720|issue:44610", + "issue:42490|issue:43257" + ], + "prepared_review_unit_hash": "7f5bb02745fbc7731bd7bfa74a83167c215d88ead96ba4ecdc16d478f4acb330", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36823, + "estimated_input_tokens": 9206, + "estimated_eval_tokens": 18668 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab bag of unrelated Transformers bug reports. None of the soft pairs appear to describe the same concrete underlying defect, so I would not merge any of them as duplicates. The broadest and most representative issue here is the remote_code regression report.", + "confidence": 0.92, + "canonical_issue_reason": "issue:45020 is the broadest cross-cutting report here, describing a general regression affecting models that rely on remote_code loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45020 is the best cluster anchor because it is the most general and highest-level failure mode among the listed issues, making it the most useful canonical reference.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42175", + "right": "issue:45081", + "accept": false, + "reason": "Different failures: backend dependency packaging vs tokenizer regex patch crash. Same subsystem, not the same bug." + }, + { + "left": "issue:34634", + "right": "issue:36331", + "accept": false, + "reason": "Unrelated areas: Bark voice preset handling vs CustomTrainer.compute_loss signature change." + }, + { + "left": "issue:45003", + "right": "issue:46285", + "accept": false, + "reason": "Both touch model loading/structure, but one is unsafe sys.modules access and the other is CLIP text-model API inconsistency." + }, + { + "left": "issue:46697", + "right": "issue:46728", + "accept": false, + "reason": "Both are image-processor shape/count bugs, but they affect different models and different logic paths." + }, + { + "left": "issue:43653", + "right": "issue:44912", + "accept": false, + "reason": "Tokenizer special-token registration is unrelated to MXFP4 quantization loading fallback." + }, + { + "left": "issue:43582", + "right": "issue:44857", + "accept": false, + "reason": "Apple Silicon allocator TypeError and CUDA AMP loss crash are different code paths and platforms." + }, + { + "left": "issue:43262", + "right": "issue:43819", + "accept": false, + "reason": "Audio chat-template sampling-rate defaulting is not the same as DAC from_latents/STE mismatch." + }, + { + "left": "issue:44589", + "right": "issue:45042", + "accept": false, + "reason": "Float8 storage lookup failure is unrelated to the PIL image-processor torchvision dependency regression." + }, + { + "left": "issue:43782", + "right": "issue:45325", + "accept": false, + "reason": "Qwen3VL weight_only loading and Qwen2.5-VL rope indexing are distinct model-specific bugs." + }, + { + "left": "issue:43742", + "right": "issue:45020", + "accept": false, + "reason": "A model-specific key error while loading MobileLLM is not the same as the broad remote_code breakage report." + }, + { + "left": "issue:45081", + "right": "issue:45406", + "accept": false, + "reason": "Tokenizer regex patching and Gemma4Processor missing _tokenizer are different loader failures." + }, + { + "left": "issue:45372", + "right": "issue:46326", + "accept": false, + "reason": "Both involve mistral_common, but one is an import break for Gemma 4 and the other is continue_final_message behavior." + }, + { + "left": "issue:45084", + "right": "issue:45538", + "accept": false, + "reason": "Template compilation error and CLIPTokenizer max_length bug are unrelated." + }, + { + "left": "issue:43550", + "right": "issue:44912", + "accept": false, + "reason": "torch.compile/SDPA failure in Bamba is unrelated to MXFP4 quantization fallback." + }, + { + "left": "issue:43526", + "right": "issue:43697", + "accept": false, + "reason": "BEiT label reduction bug is not the same as RTDetrV2 output divergence." + }, + { + "left": "issue:43329", + "right": "issue:45600", + "accept": false, + "reason": "Undefined video token-count helpers and stale auto_mappings config references are different bugs." + }, + { + "left": "issue:43526", + "right": "issue:44554", + "accept": false, + "reason": "Different models and code paths: BEiT label handling vs MPS attention correctness." + }, + { + "left": "issue:44060", + "right": "issue:44368", + "accept": false, + "reason": "Both mention tied-weights warnings, but they describe different Qwen model behaviors and symptoms." + }, + { + "left": "issue:43452", + "right": "issue:44991", + "accept": false, + "reason": "Tokenizer/model loading with gguf_file and an EMBEDDIA tokenizer regression are separate loading issues." + }, + { + "left": "issue:43257", + "right": "issue:43329", + "accept": false, + "reason": "Qwen3 MoE weight conversion during accelerate loading is unrelated to multimodal token counting." + }, + { + "left": "issue:36010", + "right": "issue:36331", + "accept": false, + "reason": "GenerationMixin import failure and compute_loss signature mismatch are different regression classes." + }, + { + "left": "issue:36010", + "right": "issue:43645", + "accept": false, + "reason": "Import path breakage and Jupyter custom-model initialization failure are distinct problems." + }, + { + "left": "issue:43906", + "right": "issue:46209", + "accept": false, + "reason": "An isolated reproduction of an older issue is not the same as an FP8 inference failure on B200." + }, + { + "left": "issue:43819", + "right": "issue:43927", + "accept": false, + "reason": "DAC latent/forward mismatch and DiaConfig token-ID persistence are unrelated." + }, + { + "left": "issue:43531", + "right": "issue:45042", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and PIL backend torchvision dependency are unrelated." + }, + { + "left": "issue:43638", + "right": "issue:44936", + "accept": false, + "reason": "Zero3 training IndexError and train-then-evaluate failure are different trainer/deepspeed bugs." + }, + { + "left": "issue:42175", + "right": "issue:46291", + "accept": false, + "reason": "TensorFlow packaging omission and pipelines import requirement for kernels v0.15 are different dependency issues." + }, + { + "left": "issue:43720", + "right": "issue:44610", + "accept": false, + "reason": "Packed-weight unpacking in accelerate loading is unrelated to OmDet-Turbo processor size mismatch." + }, + { + "left": "issue:42490", + "right": "issue:43257", + "accept": false, + "reason": "Trailing-slash local-model import warning and Qwen3 MoE weight conversion are unrelated loader bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 20, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28282", + "issue:29159", + "issue:29870", + "issue:34567", + "issue:38175", + "issue:39692", + "issue:40990", + "issue:42915", + "issue:43257", + "issue:43262", + "issue:43329", + "issue:43450", + "issue:43454", + "issue:43525", + "issue:43540", + "issue:43577", + "issue:43606", + "issue:43643", + "issue:43650", + "issue:43696", + "issue:43742", + "issue:43746", + "issue:43749", + "issue:43854", + "issue:43906", + "issue:43927", + "issue:43931", + "issue:44291", + "issue:44387", + "issue:44479", + "issue:44610", + "issue:44617", + "issue:44756", + "issue:44811", + "issue:44821", + "issue:44912", + "issue:44977", + "issue:44987", + "issue:45042", + "issue:45459", + "issue:45538", + "issue:45759", + "issue:45803", + "issue:45859", + "issue:46291", + "issue:46421", + "issue:46424", + "issue:46701" + ], + "soft_pairs": [ + "issue:39692|issue:44912", + "issue:38175|issue:44610", + "issue:43746|issue:44811", + "issue:43643|issue:45759", + "issue:44387|issue:44617", + "issue:43854|issue:44977", + "issue:43257|issue:43696", + "issue:43262|issue:44811", + "issue:43257|issue:43931", + "issue:46421|issue:46424", + "issue:42915|issue:43742", + "issue:43329|issue:44479", + "issue:45459|issue:45803", + "issue:43329|issue:43450", + "issue:43749|issue:44756", + "issue:44291|issue:45042", + "issue:42915|issue:44821", + "issue:43606|issue:45859", + "issue:34567|issue:40990", + "issue:43650|issue:43906", + "issue:43540|issue:46701", + "issue:43454|issue:43577", + "issue:43927|issue:44912", + "issue:43525|issue:46291", + "issue:29159|issue:34567", + "issue:28282|issue:29870", + "issue:44987|issue:45538" + ], + "prepared_review_unit_hash": "4b4a8fbaea67230799b88d727d4511f333c36a739e5ee603de86cde315d44940", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35883, + "estimated_input_tokens": 8971, + "estimated_eval_tokens": 18198 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft pairs are mostly superficial topical overlaps rather than the same underlying bug. I would reject all of them as duplicates/mergeable PRs; this cluster is heterogeneous, so the issue choice is only a best-effort representative rather than a true canonical duplicate target.", + "confidence": 0.22, + "canonical_issue_reason": "issue:43749 is the strongest standalone report in the set: it has the broadest loading impact, the most discussion and inbound references, and a concrete regression description, whereas the other items are narrower or unrelated.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43749 is the best representative issue overall because it is the most substantiated and cross-cutting bug report in this mixed cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:39692", + "right": "issue:44912", + "accept": false, + "reason": "Both are model-related, but one is documentation/example breakage and the other is a quantization-loading regression for a different model." + }, + { + "left": "issue:38175", + "right": "issue:44610", + "accept": false, + "reason": "These concern different failures: unexpected zero probabilities vs an image-size mismatch between processor and model." + }, + { + "left": "issue:43746", + "right": "issue:44811", + "accept": false, + "reason": "PEFT/local-checkpoint loading is unrelated to Whisper's batch_decode skip_special_tokens behavior." + }, + { + "left": "issue:43643", + "right": "issue:45759", + "accept": false, + "reason": "Both involve config handling, but one is missing fields with trust_remote_code and the other is from_config unwrapping for composite multimodal configs." + }, + { + "left": "issue:44387", + "right": "issue:44617", + "accept": false, + "reason": "Both mention OOM, but they are different code paths and different root causes." + }, + { + "left": "issue:43854", + "right": "issue:44977", + "accept": false, + "reason": "Different models and failures: unit-test loading mismatch vs flash-attention generation behavior." + }, + { + "left": "issue:43257", + "right": "issue:43696", + "accept": false, + "reason": "One is a weight-conversion/loading bug under accelerate+deepspeed; the other is plain CUDA OOM." + }, + { + "left": "issue:43262", + "right": "issue:44811", + "accept": false, + "reason": "Audio chat-template sampling-rate handling is unrelated to Whisper batch decoding." + }, + { + "left": "issue:43257", + "right": "issue:43931", + "accept": false, + "reason": "Different symptoms and paths: MOE weights not converted vs a load-time weight-shape mismatch." + }, + { + "left": "issue:46421", + "right": "issue:46424", + "accept": false, + "reason": "Related cache terminology, but one is lazy init causing recompilation and the other is a config field only honored in quantized cache." + }, + { + "left": "issue:42915", + "right": "issue:43742", + "accept": false, + "reason": "Qwen3Moe FP8 config failure and MobileLLM key error are unrelated loading bugs." + }, + { + "left": "issue:43329", + "right": "issue:44479", + "accept": false, + "reason": "Both are video/VLM issues, but one is an undefined-helper bug in token counting and the other is a broader regression in specific model families." + }, + { + "left": "issue:45459", + "right": "issue:45803", + "accept": false, + "reason": "Both mention error handling, but they affect different tokenizer/image code paths and are not the same defect." + }, + { + "left": "issue:43329", + "right": "issue:43450", + "accept": false, + "reason": "Undefined variables in multimodal token counting is distinct from batched video processor shape errors." + }, + { + "left": "issue:43749", + "right": "issue:44756", + "accept": false, + "reason": "Both are memory-related, but one is an FSDP CPU-RAM loading issue and the other is mmap-induced OOM on a specific platform." + }, + { + "left": "issue:44291", + "right": "issue:45042", + "accept": false, + "reason": "Init-empty-weights argument handling and a PIL/image-processor torchvision dependency regression are separate issues." + }, + { + "left": "issue:42915", + "right": "issue:44821", + "accept": false, + "reason": "A quantization/load failure for GPT-oss is unrelated to loading AutoImageProcessor from a URL." + }, + { + "left": "issue:43606", + "right": "issue:45859", + "accept": false, + "reason": "CPU offload device mismatch for bark-small is not the same as a rotary embedding incompatibility in Qwen3_5Moe." + }, + { + "left": "issue:34567", + "right": "issue:40990", + "accept": false, + "reason": "Trainer token counting and extreme perplexity on GPT-oss are unrelated." + }, + { + "left": "issue:43650", + "right": "issue:43906", + "accept": false, + "reason": "The first is an invalid/low-information issue title; the second is a reproduction of a different upstream issue." + }, + { + "left": "issue:43540", + "right": "issue:46701", + "accept": false, + "reason": "Video processing value errors and an image-text-to-text pipeline failure are different bugs." + }, + { + "left": "issue:43454", + "right": "issue:43577", + "accept": false, + "reason": "Weight tying for AyaVision and dtype propagation for Blip2 do not share the same failure mode." + }, + { + "left": "issue:43927", + "right": "issue:44912", + "accept": false, + "reason": "Custom token IDs being lost on save/load is unrelated to MXFP4 quantization fallback." + }, + { + "left": "issue:43525", + "right": "issue:46291", + "accept": false, + "reason": "Missing pad_token_id on Llama4Config is unrelated to importing pipelines with kernels v0.15." + }, + { + "left": "issue:29159", + "right": "issue:34567", + "accept": false, + "reason": "Tokenizer consistency and trainer token-count tracking are different subsystems and failures." + }, + { + "left": "issue:28282", + "right": "issue:29870", + "accept": false, + "reason": "PyTorch import absence and Bart generate decoder mask initialization are unrelated." + }, + { + "left": "issue:44987", + "right": "issue:45538", + "accept": false, + "reason": "A model-loading failure and an oversized CLIPTokenizer model_max_length are not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 21, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:24643", + "issue:27957", + "issue:28282", + "issue:29127", + "issue:29159", + "issue:33357", + "issue:34567", + "issue:34689", + "issue:36331", + "issue:38175", + "issue:41720", + "issue:42175", + "issue:42915", + "issue:43317", + "issue:43404", + "issue:43425", + "issue:43452", + "issue:43540", + "issue:43577", + "issue:43582", + "issue:43697", + "issue:43742", + "issue:43749", + "issue:43824", + "issue:44062", + "issue:44291", + "issue:44479", + "issue:44488", + "issue:44560", + "issue:44568", + "issue:44821", + "issue:44849", + "issue:44898", + "issue:44987", + "issue:44991", + "issue:45127", + "issue:45137", + "issue:45356", + "issue:45357", + "issue:45381", + "issue:45405", + "issue:45488", + "issue:45538", + "issue:45701", + "issue:45907", + "issue:46291", + "issue:46512", + "issue:46693" + ], + "soft_pairs": [ + "issue:44568|issue:45356", + "issue:28282|issue:34689", + "issue:43425|issue:46291", + "issue:42915|issue:45538", + "issue:45137|issue:45405", + "issue:43697|issue:45357", + "issue:43404|issue:45127", + "issue:33357|issue:34567", + "issue:42175|issue:43824", + "issue:43742|issue:44291", + "issue:28282|issue:29127", + "issue:43317|issue:45538", + "issue:44479|issue:46693", + "issue:44062|issue:44991", + "issue:43577|issue:46512", + "issue:43452|issue:43582", + "issue:44849|issue:45701", + "issue:42915|issue:43749", + "issue:41720|issue:43540", + "issue:27957|issue:28282", + "issue:43540|issue:44560", + "issue:44291|issue:44821", + "issue:24643|issue:29159", + "issue:42175|issue:44488", + "issue:43540|issue:44479", + "issue:44987|issue:45907", + "issue:38175|issue:44898", + "issue:44479|issue:45381", + "issue:44568|issue:45488", + "issue:34567|issue:36331" + ], + "prepared_review_unit_hash": "dfdeef3875510f49a604d99173728b9e12b98c3457f4906b3aaab1a3c5b6b909", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36760, + "estimated_input_tokens": 9190, + "estimated_eval_tokens": 18636 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a heterogeneous set of regression/bug reports; the soft-similarity pairs are mostly only thematically related, not the same underlying bug, so none should be merged.", + "confidence": 0.8, + "canonical_issue_reason": "issue:45488 is the strongest anchor for duplicate triage: it has a concrete tokenizer regression, clear reproduction context, active discussion, and inbound references.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45488 is the most suitable representative issue overall because it is specific, actionable, and has the clearest bug narrative among the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44568", + "right": "issue:45356", + "accept": false, + "reason": "Both are tokenizer regressions, but one is about BOS/EOS insertion and the other is about codec handling/warning behavior in Kimi-K2.5; different root causes." + }, + { + "left": "issue:28282", + "right": "issue:34689", + "accept": false, + "reason": "One is an environment missing PyTorch, the other is a model-loading regression for Llama 3.2 Vision; not the same bug." + }, + { + "left": "issue:43425", + "right": "issue:46291", + "accept": false, + "reason": "Torch 2.10 incompatibility and kernels requiring version/revision are unrelated dependency/API failures." + }, + { + "left": "issue:42915", + "right": "issue:45538", + "accept": false, + "reason": "Qwen3Moe FP8 config failure and CLIPTokenizer max-length behavior are different subsystems and failure modes." + }, + { + "left": "issue:45137", + "right": "issue:45405", + "accept": false, + "reason": "DeepSpeed ZeRO3 deque error and PEFT version bump are unrelated issues." + }, + { + "left": "issue:43697", + "right": "issue:45357", + "accept": false, + "reason": "RTDetrV2 output regression and Qwen3.5 save_pretrained key mapping are different model/code-path bugs." + }, + { + "left": "issue:43404", + "right": "issue:45127", + "accept": false, + "reason": "Both involve tied embeddings, but one is an lm_head tying bug and the other is LoRA merge with extended vocabulary collapse; not the same issue." + }, + { + "left": "issue:33357", + "right": "issue:34567", + "accept": false, + "reason": "MacOS bus error on CLIP model load and TrainerState token-count updating are unrelated." + }, + { + "left": "issue:42175", + "right": "issue:43824", + "accept": false, + "reason": "Missing TensorFlow backend in a torch install and missing Qwen2_5_VL import are separate packaging/import problems." + }, + { + "left": "issue:43742", + "right": "issue:44291", + "accept": false, + "reason": "MobileLLM key-error loading and init_empty_weights unexpected argument are different loading failures." + }, + { + "left": "issue:28282", + "right": "issue:29127", + "accept": false, + "reason": "PyTorch-not-found import error and LayoutLMV3 box-validation messaging are unrelated." + }, + { + "left": "issue:43317", + "right": "issue:45538", + "accept": false, + "reason": "Device-map/offload dequantization failure and CLIPTokenizer max-length behavior are unrelated." + }, + { + "left": "issue:44479", + "right": "issue:46693", + "accept": false, + "reason": "A video-input regression in Qwen VL models and an FA2 long-context performance regression are different bugs." + }, + { + "left": "issue:44062", + "right": "issue:44991", + "accept": false, + "reason": "AddedToken special-arg duplication and tokenizer loading failure for EMBEDDIA/est-roberta are distinct tokenizer bugs." + }, + { + "left": "issue:43577", + "right": "issue:46512", + "accept": false, + "reason": "One is dtype propagation for Blip2/Qformer, the other is stale model.config.dtype after from_config(dtype=...); related area, different bug." + }, + { + "left": "issue:43452", + "right": "issue:43582", + "accept": false, + "reason": "gguf_file loading and Apple Silicon caching_allocator_warmup TypeError are unrelated." + }, + { + "left": "issue:44849", + "right": "issue:45701", + "accept": false, + "reason": "Qwen3.5 output_hidden_states behavior and version-dependent tokenization changes are different bug classes." + }, + { + "left": "issue:42915", + "right": "issue:43749", + "accept": false, + "reason": "Qwen3Moe FP8 config failure and FSDP CPU RAM efficient loading are different advanced-loading regressions." + }, + { + "left": "issue:41720", + "right": "issue:43540", + "accept": false, + "reason": "Auto device-mapping cudaErrorAssert and Qwen3OmniMoe video ValueError are different failure paths." + }, + { + "left": "issue:27957", + "right": "issue:28282", + "accept": false, + "reason": "XLMRoberta with FlashAttention2 and missing-PyTorch import error are unrelated." + }, + { + "left": "issue:43540", + "right": "issue:44560", + "accept": false, + "reason": "Both are video-related Qwen issues, but they affect different models and fail in different places; not the same concrete bug." + }, + { + "left": "issue:44291", + "right": "issue:44821", + "accept": false, + "reason": "Unexpected _is_hf_initialized argument and AutoImageProcessor URL loading are unrelated." + }, + { + "left": "issue:24643", + "right": "issue:29159", + "accept": false, + "reason": "DeepSpeed weight dimensionality error and slow/fast tokenizer inconsistency are unrelated." + }, + { + "left": "issue:42175", + "right": "issue:44488", + "accept": false, + "reason": "TensorFlow-backend packaging and sleng-bert loading failure are different issues." + }, + { + "left": "issue:43540", + "right": "issue:44479", + "accept": false, + "reason": "Qwen3OmniMoe video ValueError and Qwen2.5/Qwen3 video regression are similar domain-wise but not the same bug." + }, + { + "left": "issue:44987", + "right": "issue:45907", + "accept": false, + "reason": "Model loading failure and list_repo_files revision forwarding are unrelated." + }, + { + "left": "issue:38175", + "right": "issue:44898", + "accept": false, + "reason": "Siglip2 zero probabilities and Perceiver non-default resolution failure are different model-specific bugs." + }, + { + "left": "issue:44479", + "right": "issue:45381", + "accept": false, + "reason": "Both concern video/VL behavior, but 45381 is a specific vision_position_ids bug and 44479 is a broader regression across models." + }, + { + "left": "issue:44568", + "right": "issue:45488", + "accept": false, + "reason": "Both are tokenizer bugs, but one is about add_special_tokens/BOS-EOS behavior and the other is LlamaTokenizer overriding ByteLevel pre-tokenizer; different root causes." + }, + { + "left": "issue:34567", + "right": "issue:36331", + "accept": false, + "reason": "TrainerState token-count tracking and CustomTrainer compute_loss signature mismatch are separate training API issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 22, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:24643", + "issue:28282", + "issue:29870", + "issue:32090", + "issue:43257", + "issue:43404", + "issue:43452", + "issue:43526", + "issue:43531", + "issue:43540", + "issue:43577", + "issue:43716", + "issue:43720", + "issue:43742", + "issue:43756", + "issue:43906", + "issue:44062", + "issue:44488", + "issue:44568", + "issue:44589", + "issue:44625", + "issue:44737", + "issue:44792", + "issue:44821", + "issue:44877", + "issue:44898", + "issue:44913", + "issue:44964", + "issue:45042", + "issue:45072", + "issue:45081", + "issue:45325", + "issue:45357", + "issue:45405", + "issue:45479", + "issue:45588", + "issue:45600", + "issue:45823", + "issue:45920", + "issue:45987", + "issue:46121", + "issue:46399", + "issue:46463", + "issue:46468", + "issue:46491", + "issue:46693", + "issue:46701" + ], + "soft_pairs": [ + "issue:44792|issue:44964", + "issue:43257|issue:43756", + "issue:44062|issue:45081", + "issue:43742|issue:44589", + "issue:44737|issue:46463", + "issue:45042|issue:45081", + "issue:43716|issue:46701", + "issue:43531|issue:44821", + "issue:43756|issue:46399", + "issue:43577|issue:45072", + "issue:43756|issue:45325", + "issue:44568|issue:46491", + "issue:45405|issue:45600", + "issue:43906|issue:46468", + "issue:45823|issue:46463", + "issue:24643|issue:29870", + "issue:43404|issue:45987", + "issue:44737|issue:45588", + "issue:43452|issue:44488", + "issue:43906|issue:46693", + "issue:44625|issue:44877", + "issue:43526|issue:45479", + "issue:45357|issue:45920", + "issue:43540|issue:46693", + "issue:44913|issue:46121", + "issue:28282|issue:32090", + "issue:43720|issue:44898" + ], + "prepared_review_unit_hash": "c7ddd622153a3d721949226ca51728fca09d1e29b021623b5ce931b3c40d08d6", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 35636, + "estimated_input_tokens": 8909, + "estimated_eval_tokens": 18074 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is very heterogeneous: the items span unrelated model-loading, tokenizer, config, dtype, and performance regressions. The soft pairs mostly share only superficial subsystem similarity, not the same concrete bug or change.", + "confidence": 0.22, + "canonical_issue_reason": "issue:45920 is the broadest, most user-impacting regression in the set, but the cluster as a whole does not have a true duplicate center.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45920 has the clearest broad blast radius and strongest reproducible user-facing failure, making it the best anchor if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44792", + "right": "issue:44964", + "accept": false, + "reason": "Different failures: a janus generation test break versus a Phi-4 multimodal loading error." + }, + { + "left": "issue:43257", + "right": "issue:43756", + "accept": false, + "reason": "One is an accelerate/deepspeed weight-conversion bug; the other is a RoPE-layer-count regression in Smollm3." + }, + { + "left": "issue:44062", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer AddedToken keyword handling and Mistral regex patching are unrelated code paths." + }, + { + "left": "issue:43742", + "right": "issue:44589", + "accept": false, + "reason": "A MobileLLM key error and a missing Float8 storage type are different loading failures." + }, + { + "left": "issue:44737", + "right": "issue:46463", + "accept": false, + "reason": "XLNet CPU placement/performance issue does not match a T5 decoder-input validation message bug." + }, + { + "left": "issue:45042", + "right": "issue:45081", + "accept": false, + "reason": "PIL image-processor torchvision dependency and Mistral tokenizer regex patching are separate defects." + }, + { + "left": "issue:43716", + "right": "issue:46701", + "accept": false, + "reason": "A dtype mismatch in Mistral-3 preprocessing is not the same as the DiffusionGemma image-text pipeline failure." + }, + { + "left": "issue:43531", + "right": "issue:44821", + "accept": false, + "reason": "Qwen3-MoE sliding-window behavior and loading AutoImageProcessor from URL are unrelated." + }, + { + "left": "issue:43756", + "right": "issue:46399", + "accept": false, + "reason": "Smollm3 RoPE-layer loss and Qwen3.5 kernel-registration crash are different model-specific bugs." + }, + { + "left": "issue:43577", + "right": "issue:45072", + "accept": false, + "reason": "Both mention dtype, but they affect different model families and different inference paths." + }, + { + "left": "issue:43756", + "right": "issue:45325", + "accept": false, + "reason": "Smollm3 RoPE omission and Qwen2.5-VL still-image rope scaling are not the same defect." + }, + { + "left": "issue:44568", + "right": "issue:46491", + "accept": false, + "reason": "BOS/EOS special-token insertion and CodeLlama leading-space round-trip regression are distinct tokenizer issues." + }, + { + "left": "issue:45405", + "right": "issue:45600", + "accept": false, + "reason": "A dependency version bump and stale auto-mapping references are unrelated maintenance problems." + }, + { + "left": "issue:43906", + "right": "issue:46468", + "accept": false, + "reason": "An isolated reproduction issue and an official example breakage do not indicate the same underlying bug." + }, + { + "left": "issue:45823", + "right": "issue:46463", + "accept": false, + "reason": "Device-map mismatch in Gemma4 PLE is unrelated to T5 decoder-input validation messaging." + }, + { + "left": "issue:24643", + "right": "issue:29870", + "accept": false, + "reason": "DeepSpeed training weight-shape failure and BART generate-time UnboundLocalError are different code paths." + }, + { + "left": "issue:43404", + "right": "issue:45987", + "accept": false, + "reason": "Mistral3 weight-tying bug and StaticCache return-type bug are unrelated." + }, + { + "left": "issue:44737", + "right": "issue:45588", + "accept": false, + "reason": "XLNet positional encoding on CPU and flash-attention sink-less crash are separate issues." + }, + { + "left": "issue:43452", + "right": "issue:44488", + "accept": false, + "reason": "Both are loading-related, but the gguf_file regression and cjvt/sleng-bert loading failure are not the same bug." + }, + { + "left": "issue:44625", + "right": "issue:44877", + "accept": false, + "reason": "These are both config-loading problems, but one is num_labels propagation and the other is strict config rejection." + }, + { + "left": "issue:43526", + "right": "issue:45479", + "accept": false, + "reason": "Label-reduction behavior and degenerate zero-loss classification are different classification bugs." + }, + { + "left": "issue:45357", + "right": "issue:45920", + "accept": false, + "reason": "Incorrect visual-encoder keys in save_pretrained is unrelated to wrong token IDs in AutoTokenizer." + }, + { + "left": "issue:43540", + "right": "issue:46693", + "accept": false, + "reason": "A video-input ValueError and a long-context FA2 performance regression are not the same issue." + }, + { + "left": "issue:44913", + "right": "issue:46121", + "accept": false, + "reason": "GPTNeoX rotary_pct persistence and rope-parameter JSON list conversion are different config/validation bugs." + }, + { + "left": "issue:28282", + "right": "issue:32090", + "accept": false, + "reason": "Missing PyTorch in the environment and NoneType broadcast errors are unrelated." + }, + { + "left": "issue:43720", + "right": "issue:44898", + "accept": false, + "reason": "BitNet packed-weight unpacking and Perceiver interpolation failure are different loading/inference problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 23, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:29159", + "issue:33357", + "issue:38175", + "issue:41762", + "issue:42898", + "issue:43295", + "issue:43452", + "issue:43525", + "issue:43531", + "issue:43577", + "issue:43643", + "issue:43646", + "issue:43653", + "issue:43688", + "issue:43697", + "issue:43742", + "issue:43749", + "issue:43756", + "issue:43819", + "issue:43927", + "issue:43994", + "issue:44361", + "issue:44442", + "issue:44464", + "issue:44466", + "issue:44493", + "issue:44568", + "issue:44743", + "issue:44811", + "issue:44843", + "issue:44898", + "issue:44936", + "issue:45005", + "issue:45200", + "issue:45216", + "issue:45356", + "issue:45372", + "issue:45375", + "issue:45542", + "issue:45704", + "issue:45823", + "issue:46050", + "issue:46170", + "issue:46178", + "issue:46402", + "issue:46463", + "issue:46491", + "issue:46701" + ], + "soft_pairs": [ + "issue:43697|issue:45216", + "issue:43643|issue:45375", + "issue:44466|issue:45005", + "issue:45200|issue:46463", + "issue:41762|issue:44936", + "issue:44361|issue:44442", + "issue:44493|issue:46050", + "issue:43819|issue:44811", + "issue:43653|issue:44361", + "issue:43525|issue:46701", + "issue:43688|issue:43749", + "issue:43994|issue:44898", + "issue:43452|issue:44843", + "issue:38175|issue:43295", + "issue:44936|issue:45823", + "issue:43531|issue:43742", + "issue:45372|issue:46170", + "issue:45542|issue:46178", + "issue:42898|issue:46491", + "issue:43452|issue:43577", + "issue:43646|issue:43749", + "issue:43577|issue:43697", + "issue:43295|issue:45356", + "issue:44464|issue:44743", + "issue:43653|issue:44568", + "issue:29159|issue:33357", + "issue:43756|issue:46402", + "issue:43688|issue:45704", + "issue:43653|issue:43927" + ], + "prepared_review_unit_hash": "e2d9bccbe1f6c6db4da75373714a2bfc084d8d877eddd643e4b6dc54171e9db6", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + 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None of the soft pairs look like true duplicates, so they should stay separate; the broadest representative issue is the v5 custom model initialization regression.", + "confidence": 0.55, + "canonical_issue_reason": "issue:43646 is the broadest umbrella for the cluster: it captures the general v5 regression pattern affecting custom model initialization and aligns with many of the more specific breakages here.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43646 is the most representative issue for triage because it describes the widest underlying failure mode rather than a single model-specific symptom.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43697", + "right": "issue:45216", + "accept": false, + "reason": "Both are regressions, but one is RTDetrV2 output drift and the other is Qwen3.5 save_pretrained corruption; different code paths and failure modes." + }, + { + "left": "issue:43643", + "right": "issue:45375", + "accept": false, + "reason": "Both involve config fields and serialization, but one is trust_remote_code returning missing fields while the other is a specific Qwen3_5MoeVisionConfig field being dropped by strict validation." + }, + { + "left": "issue:44466", + "right": "issue:45005", + "accept": false, + "reason": "Both mention tied weights, but one is device-dependent lm_head serialization and the other is translation-model tied-weight handling in general; not the same concrete bug." + }, + { + "left": "issue:45200", + "right": "issue:46463", + "accept": false, + "reason": "Gemma 4 mm_token_type_ids defaults are unrelated to T5 decoder input validation error messaging." + }, + { + "left": "issue:41762", + "right": "issue:44936", + "accept": false, + "reason": "Gemma3 + ZeRO-3 loading IndexError and trainer.evaluate after train are unrelated training/runtime issues." + }, + { + "left": "issue:44361", + "right": "issue:44442", + "accept": false, + "reason": "MLukeTokenizer task AttributeError and AutoTokenizer failing to load FastSpeech2ConformerTokenizer are different tokenizer loader failures." + }, + { + "left": "issue:44493", + "right": "issue:46050", + "accept": false, + "reason": "Unexpected position-id keys and sinq quantization save/load breakage are unrelated symptoms." + }, + { + "left": "issue:43819", + "right": "issue:44811", + "accept": false, + "reason": "DAC.from_latents mismatch and Whisper batch_decode skip_special_tokens behavior affect different models and APIs." + }, + { + "left": "issue:43653", + "right": "issue:44361", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and MLukeTokenizer task errors are distinct tokenizer bugs." + }, + { + "left": "issue:43525", + "right": "issue:46701", + "accept": false, + "reason": "Llama4Config pad_token_id missing and DiffusionGemma image-text pipeline failure are different model families and failures." + }, + { + "left": "issue:43688", + "right": "issue:43749", + "accept": false, + "reason": "Auxiliary-loss normalization in MoE models is unrelated to FSDP CPU RAM efficient loading." + }, + { + "left": "issue:43994", + "right": "issue:44898", + "accept": false, + "reason": "Siglip2 nonsensical results and Perceiver non-default resolution failure are different vision-model issues." + }, + { + "left": "issue:43452", + "right": "issue:44843", + "accept": false, + "reason": "gguf_file tokenizer/model loading and HF_HUB_OFFLINE breakage from _patch_mistral_regex are separate from_pretrained problems." + }, + { + "left": "issue:38175", + "right": "issue:43295", + "accept": false, + "reason": "Siglip2 zero probabilities and processor.tokenizer/image passing regression are not the same bug." + }, + { + "left": "issue:44936", + "right": "issue:45823", + "accept": false, + "reason": "Trainer lifecycle failure and Gemma4 PLE device mismatch are unrelated runtime issues." + }, + { + "left": "issue:43531", + "right": "issue:43742", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and MobileLLM key error are different loading/runtime failures." + }, + { + "left": "issue:45372", + "right": "issue:46170", + "accept": false, + "reason": "Gemma 4 processor import breakage and Windows ROCm torch.distributed dependency error are unrelated dependency issues." + }, + { + "left": "issue:45542", + "right": "issue:46178", + "accept": false, + "reason": "TensorBoard-only backend setup and tensorflow_text backend-mapping error are separate backend installation problems." + }, + { + "left": "issue:42898", + "right": "issue:46491", + "accept": false, + "reason": "clean_up_tokenization_spaces v5 behavior and CodeLlama leading-space round-trip regression are both tokenizer-related but not the same defect." + }, + { + "left": "issue:43452", + "right": "issue:43577", + "accept": false, + "reason": "gguf_file loading and Blip2 dtype propagation are different model-loading bugs." + }, + { + "left": "issue:43646", + "right": "issue:43749", + "accept": false, + "reason": "Custom model initialization breakage and FSDP CPU RAM efficient loading are not the same failure path." + }, + { + "left": "issue:43577", + "right": "issue:43697", + "accept": false, + "reason": "Blip2 dtype staying float32 and RTDetrV2 output changes are unrelated model-specific regressions." + }, + { + "left": "issue:43295", + "right": "issue:45356", + "accept": false, + "reason": "processor.tokenizer/image passthrough regression and Kimi-K2.5 tokenizer codec handling are distinct tokenizer/processor issues." + }, + { + "left": "issue:44464", + "right": "issue:44743", + "accept": false, + "reason": "Chunked generation with compiled forward and Qwen3.5 recurrent state reset are both generation-related but not the same concrete bug." + }, + { + "left": "issue:43653", + "right": "issue:44568", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and mdeberta-v3 add_special_tokens BOS/EOS behavior are different tokenizer implementations and bugs." + }, + { + "left": "issue:29159", + "right": "issue:33357", + "accept": false, + "reason": "Slow/fast tokenizer inconsistency and CLIP bus error on macOS are unrelated." + }, + { + "left": "issue:43756", + "right": "issue:46402", + "accept": false, + "reason": "Smollm3 RoPE-layer mismatch and Sam3Model text encoder weights not loading are unrelated model-definition issues." + }, + { + "left": "issue:43688", + "right": "issue:45704", + "accept": false, + "reason": "MoE auxiliary-loss normalization and T5 apex.FusedRMSNorm memory leak are different subsystems." + }, + { + "left": "issue:43653", + "right": "issue:43927", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and DiaConfig custom token-id persistence are both token-related but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 24, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:32090", + "issue:33666", + "issue:36010", + "issue:36331", + "issue:39692", + "issue:41720", + "issue:43262", + "issue:43278", + "issue:43295", + "issue:43493", + "issue:43504", + "issue:43525", + "issue:43550", + "issue:43572", + "issue:43577", + "issue:43606", + "issue:43643", + "issue:43688", + "issue:43720", + "issue:43742", + "issue:43782", + "issue:43927", + "issue:44361", + "issue:44464", + "issue:44466", + "issue:44479", + "issue:44484", + "issue:44554", + "issue:44561", + "issue:44610", + "issue:44625", + "issue:44704", + "issue:44734", + "issue:44821", + "issue:44843", + "issue:44964", + "issue:44977", + "issue:44991", + "issue:45405", + "issue:45440", + "issue:45491", + "issue:45701", + "issue:46002", + "issue:46050", + "issue:46365", + "issue:46612", + "issue:46693" + ], + "soft_pairs": [ + "issue:44843|issue:44991", + "issue:43688|issue:45701", + "issue:44479|issue:44625", + "issue:45491|issue:46002", + "issue:44484|issue:44704", + "issue:43550|issue:44361", + "issue:33666|issue:36010", + "issue:43742|issue:44821", + "issue:43688|issue:45440", + "issue:44734|issue:46612", + "issue:44466|issue:46050", + "issue:32090|issue:33666", + "issue:41720|issue:44464", + "issue:44464|issue:44977", + "issue:43504|issue:43550", + "issue:43504|issue:43720", + "issue:44977|issue:46693", + "issue:43504|issue:44610", + "issue:43577|issue:44554", + "issue:43720|issue:43927", + "issue:33666|issue:36331", + "issue:43643|issue:44561", + "issue:43606|issue:43927", + "issue:43782|issue:46693", + "issue:43278|issue:43688", + "issue:43262|issue:43295", + "issue:39692|issue:43493", + "issue:43525|issue:43572", + "issue:43720|issue:44361", + "issue:44964|issue:45405", + "issue:44554|issue:46365" + ], + "prepared_review_unit_hash": "5174337d45474a1ceec8cfc361d3c1a6d68b604fad069dd34400d1ab943100af", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 36508, + "estimated_input_tokens": 9127, + "estimated_eval_tokens": 18510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very heterogeneous: the soft pairs mostly share only broad themes like model loading, generation, configs, or dtype issues, but not the same concrete bug. I would not merge any of the candidate pairs as duplicates.", + "confidence": 0.31, + "canonical_issue_reason": "Issue 45701 is the broadest, most central regression report in the set and has the strongest discussion/reference signal, so it is the best anchor for the cluster even though the overall grouping is noisy.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45701 is the most generally phrased and discussion-heavy issue here, making it the best representative issue for triage.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44843", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer-loading regressions, but one is an offline-mode Mistral regex patch bug and the other is a model-specific tokenizer load failure; different root causes." + }, + { + "left": "issue:43688", + "right": "issue:45701", + "accept": false, + "reason": "Aux-loss normalization in MoE models is unrelated to a version-dependent tokenization change." + }, + { + "left": "issue:44479", + "right": "issue:44625", + "accept": false, + "reason": "Video-input regression for several Qwen VL models is not the same bug as Qwen3.5 num_labels propagation." + }, + { + "left": "issue:45491", + "right": "issue:46002", + "accept": false, + "reason": "Both mention NaNs, but one is sliding-window attention on GPU and the other is classification-head init/checkout behavior." + }, + { + "left": "issue:44484", + "right": "issue:44704", + "accept": false, + "reason": "Save-pretrained shard sizing is unrelated to AutoProcessor kwargs forwarding to cached_file." + }, + { + "left": "issue:43550", + "right": "issue:44361", + "accept": false, + "reason": "A torch.compile SDPA model failure and an MLukeTokenizer AttributeError are different code paths." + }, + { + "left": "issue:33666", + "right": "issue:36010", + "accept": false, + "reason": "Multi-GPU Qwen2-VL training and a GenerationMixin import error are unrelated." + }, + { + "left": "issue:43742", + "right": "issue:44821", + "accept": false, + "reason": "MobileLLM key errors while loading and AutoImageProcessor URL loading are different loader bugs." + }, + { + "left": "issue:43688", + "right": "issue:45440", + "accept": false, + "reason": "MoE auxiliary-loss normalization does not match a DeepSeekV3 implementation divergence." + }, + { + "left": "issue:44734", + "right": "issue:46612", + "accept": false, + "reason": "Both involve generation caches, but one is KV-cache continuation tensor indexing and the other is beam-search reorder skipping in different model families." + }, + { + "left": "issue:44466", + "right": "issue:46050", + "accept": false, + "reason": "Serialization of tied lm_head weights and quantized save/load breakage are not the same failure." + }, + { + "left": "issue:32090", + "right": "issue:33666", + "accept": false, + "reason": "Trainer GPU broadcast of NoneType is unrelated to Qwen2-VL multi-GPU training." + }, + { + "left": "issue:41720", + "right": "issue:44464", + "accept": false, + "reason": "Auto device mapping cuda asserts and chunked generation with compiled forward are distinct problems." + }, + { + "left": "issue:44464", + "right": "issue:44977", + "accept": false, + "reason": "Compiled-forward chunked generation inconsistency is not the same as a flash-attention correctness bug in Qwen3.5." + }, + { + "left": "issue:43504", + "right": "issue:43550", + "accept": false, + "reason": "Legacy field handling for BEiT loading is unrelated to Bamba torch.compile SDPA failures." + }, + { + "left": "issue:43504", + "right": "issue:43720", + "accept": false, + "reason": "A pretrained-model legacy field issue is not the same as BitNet packed-weight unpacking during accelerate loading." + }, + { + "left": "issue:44977", + "right": "issue:46693", + "accept": false, + "reason": "One is a correctness bug in Qwen3.5 generation, the other is a performance regression with FA2 long-context generation." + }, + { + "left": "issue:43504", + "right": "issue:44610", + "accept": false, + "reason": "BEiT legacy-field loading and OmDet processor/model image-size mismatch are different bugs." + }, + { + "left": "issue:43577", + "right": "issue:44554", + "accept": false, + "reason": "BLIP2 dtype propagation and an MPS attention correctness issue are unrelated." + }, + { + "left": "issue:43720", + "right": "issue:43927", + "accept": false, + "reason": "BitNet packed-weight handling and DiaConfig token-id persistence are different model/config issues." + }, + { + "left": "issue:43606", + "right": "issue:43927", + "accept": false, + "reason": "CPU-offload device mismatch is not the same as losing custom token IDs on save/load." + }, + { + "left": "issue:43278", + "right": "issue:43688", + "accept": false, + "reason": "Embedding dtype drift between train/eval is unrelated to auxiliary-loss normalization." + }, + { + "left": "issue:43262", + "right": "issue:43295", + "accept": false, + "reason": "Audio chat-template sampling-rate defaults and processor.tokenizer/image-passing regressions are different API bugs." + }, + { + "left": "issue:39692", + "right": "issue:43493", + "accept": false, + "reason": "Docs-example model/processor mismatch and SigLIP2 HF-vs-JAX discrepancy are not the same underlying issue." + }, + { + "left": "issue:43525", + "right": "issue:43572", + "accept": false, + "reason": "Missing pad_token_id in Llama4Config and missing pad_token_idx in StableLmConfig are separate model-specific config regressions." + }, + { + "left": "issue:43720", + "right": "issue:44361", + "accept": false, + "reason": "BitNet packed-weight loading and MLukeTokenizer task AttributeError are unrelated." + }, + { + "left": "issue:44964", + "right": "issue:45405", + "accept": false, + "reason": "Phi-4 multimodal loading failure and an unreleased PEFT minimum-version bump are not the same bug." + }, + { + "left": "issue:44554", + "right": "issue:46365", + "accept": false, + "reason": "MPS attention correctness and importing Trainer failing because of datasets are unrelated." + }, + { + "left": "issue:44561", + "right": "issue:43643", + "accept": false, + "reason": "Removal of is_torch_fx_available breaking trust_remote_code models is not the same as AutoConfig returning missing fields under trust_remote_code." + }, + { + "left": "issue:43782", + "right": "issue:46693", + "accept": false, + "reason": "Qwen3VL weight_only load failure is a model-loading bug, not a flash-attention performance regression." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 25, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28218", + "issue:33357", + "issue:33666", + "issue:39692", + "issue:42796", + "issue:43257", + "issue:43278", + "issue:43295", + "issue:43299", + "issue:43334", + "issue:43452", + "issue:43493", + "issue:43504", + "issue:43572", + "issue:43575", + "issue:43606", + "issue:43646", + "issue:43701", + "issue:43824", + "issue:43825", + "issue:43844", + "issue:43927", + "issue:43994", + "issue:44361", + "issue:44451", + "issue:44466", + "issue:44488", + "issue:44514", + "issue:44568", + "issue:44589", + "issue:44625", + "issue:44792", + "issue:44843", + "issue:44849", + "issue:44977", + "issue:45290", + "issue:45357", + "issue:45405", + "issue:45520", + "issue:45584", + "issue:45759", + "issue:45812", + "issue:45823", + "issue:46050", + "issue:46192", + "issue:46209", + "issue:46489", + "issue:46710" + ], + "soft_pairs": [ + "issue:44514|issue:45290", + "issue:43493|issue:43825", + "issue:44625|issue:45584", + "issue:44977|issue:46209", + "issue:43452|issue:44451", + "issue:45823|issue:46050", + "issue:28218|issue:33357", + "issue:43994|issue:46192", + "issue:42796|issue:44977", + "issue:43493|issue:43844", + "issue:43278|issue:43844", + "issue:39692|issue:43295", + "issue:44849|issue:46209", + "issue:33357|issue:33666", + "issue:43646|issue:44466", + "issue:46209|issue:46710", + "issue:44568|issue:46489", + "issue:43278|issue:43701", + "issue:43575|issue:45405", + "issue:44792|issue:45405", + "issue:44589|issue:45520", + "issue:44849|issue:45357", + "issue:43927|issue:44361", + "issue:43824|issue:44589", + "issue:44488|issue:44843", + "issue:44568|issue:45812", + "issue:43504|issue:43606", + "issue:43257|issue:43299", + "issue:43334|issue:43572", + "issue:43334|issue:45759" + ], + "prepared_review_unit_hash": "a016c5d237361fc120e522c229d062b866f675181ad00bfa0280b9ace5d560a7", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36772, + "estimated_input_tokens": 9193, + "estimated_eval_tokens": 18642 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a grab-bag of unrelated tokenizer, model-loading, training, and regression reports. None of the soft pairs look like the same underlying bug strongly enough to merge, so I would not deduplicate any of them.", + "confidence": 0.91, + "canonical_issue_reason": "No single canonical issue: the items span unrelated subsystems and the soft pairs are only superficially similar.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue for deduping; there is no clear representative that subsumes the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44514", + "right": "issue:45290", + "accept": false, + "reason": "Both are apply_chat_template crashes, but the triggers differ: batched padding=False in one case vs assistant tool-call messages with no content in the other." + }, + { + "left": "issue:43493", + "right": "issue:43825", + "accept": false, + "reason": "Different problems: SigLIP2 output mismatch versus a pipeline v5 error message about translation support." + }, + { + "left": "issue:44625", + "right": "issue:45584", + "accept": false, + "reason": "Unrelated model/config bug versus Whisper empty-transcription failure after token alignment." + }, + { + "left": "issue:44977", + "right": "issue:46209", + "accept": false, + "reason": "Different model/runtime failures: Qwen3.5 flash-attention generation versus FP8 inference on B200." + }, + { + "left": "issue:43452", + "right": "issue:44451", + "accept": false, + "reason": "Both are load failures, but one is a gguf_file regression in tokenizer/model loaders and the other is a specific pretrained model that no longer loads." + }, + { + "left": "issue:45823", + "right": "issue:46050", + "accept": false, + "reason": "Different code paths: Gemma4 device_map forward mismatch versus sinq save/load quantization breakage." + }, + { + "left": "issue:28218", + "right": "issue:33357", + "accept": false, + "reason": "Tokenizer spacing bug versus a MacOS bus error in a CLIP model; no shared underlying defect." + }, + { + "left": "issue:43994", + "right": "issue:46192", + "accept": false, + "reason": "SigLIP2 inference quality issue versus a text_kwargs/return_tensors API interaction bug." + }, + { + "left": "issue:42796", + "right": "issue:44977", + "accept": false, + "reason": "Different tokenizer/model regressions: BPE marker handling versus Qwen3.5 flash-attention generation." + }, + { + "left": "issue:43493", + "right": "issue:43844", + "accept": false, + "reason": "A SigLIP2 correctness discrepancy is not the same as a ZeRO-3 gradient growth issue." + }, + { + "left": "issue:43278", + "right": "issue:43844", + "accept": false, + "reason": "Embedding dtype mismatch in eval is unrelated to the HfDeepSpeedConfig + ZeRO-3 gradient regression." + }, + { + "left": "issue:39692", + "right": "issue:43295", + "accept": false, + "reason": "Documentation/example errors are not the same as a runtime regression in processor.tokenizer/image handling." + }, + { + "left": "issue:44849", + "right": "issue:46209", + "accept": false, + "reason": "Different failures: Qwen3.5 hidden-states behavior versus FP8 inference on B200 hardware." + }, + { + "left": "issue:33357", + "right": "issue:33666", + "accept": false, + "reason": "A MacOS bus error in CLIP is unrelated to Qwen2-VL multi-GPU training." + }, + { + "left": "issue:43646", + "right": "issue:44466", + "accept": false, + "reason": "Both are v5 regressions, but one is custom model initialization and the other is serialization of tied weights; distinct bugs." + }, + { + "left": "issue:46209", + "right": "issue:46710", + "accept": false, + "reason": "Different models and symptoms: FP8 hardware inference failure versus an accuracy regression after upgrade." + }, + { + "left": "issue:44568", + "right": "issue:46489", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different models and mechanisms: missing special tokens versus incorrect DeepSeek-Coder output." + }, + { + "left": "issue:43278", + "right": "issue:43701", + "accept": false, + "reason": "Training/eval dtype change is unrelated to resume_from_checkpoint key mismatch." + }, + { + "left": "issue:43575", + "right": "issue:45405", + "accept": false, + "reason": "An OOM on model loading is unrelated to a dependency version bump for peft." + }, + { + "left": "issue:44792", + "right": "issue:45405", + "accept": false, + "reason": "A janus test failure is not the same issue as the PEFT minimum-version bump." + }, + { + "left": "issue:44589", + "right": "issue:45520", + "accept": false, + "reason": "Float8 storage lookup failure and a Python 3.13 flash_attn import KeyError are different compatibility bugs." + }, + { + "left": "issue:44849", + "right": "issue:45357", + "accept": false, + "reason": "Qwen3.5 hidden-states behavior and incorrect visual encoder keys in save_pretrained are separate regressions." + }, + { + "left": "issue:43927", + "right": "issue:44361", + "accept": false, + "reason": "A config save/load token-ID loss bug is unrelated to MLukeTokenizer task attribute errors." + }, + { + "left": "issue:43824", + "right": "issue:44589", + "accept": false, + "reason": "Importing a missing Qwen2_5_VL class is unrelated to a Float8 storage type error." + }, + { + "left": "issue:44488", + "right": "issue:44843", + "accept": false, + "reason": "Model load failure for one checkpoint is not the same as an offline-mode break from an unconditional model_info() call." + }, + { + "left": "issue:44568", + "right": "issue:45812", + "accept": false, + "reason": "Both involve tokenizer output, but the model families and bug types differ: missing BOS/EOS versus wrong token IDs for Granite models." + }, + { + "left": "issue:43504", + "right": "issue:43606", + "accept": false, + "reason": "Legacy field loading in BEiT segmentation is unrelated to a CPU offload device mismatch in bark-small." + }, + { + "left": "issue:43257", + "right": "issue:43299", + "accept": false, + "reason": "Both concern Qwen MoE loading, but they hit different model variants and failure modes, so they are not the same concrete bug." + }, + { + "left": "issue:43334", + "right": "issue:43572", + "accept": false, + "reason": "Missing pad_token_id in Qwen3-VL and missing pad_token_idx in StableLmConfig are similar regressions but distinct configs and code paths." + }, + { + "left": "issue:43334", + "right": "issue:45759", + "accept": false, + "reason": "Both are multimodal config issues, but one is a missing config field and the other is incorrect unwrapping of text_config from composite Qwen configs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 26, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:15354", + "issue:28218", + "issue:29159", + "issue:29942", + "issue:30333", + "issue:32090", + "issue:34567", + "issue:38175", + "issue:41720", + "issue:42490", + "issue:43065", + "issue:43493", + "issue:43504", + "issue:43572", + "issue:43606", + "issue:43653", + "issue:43696", + "issue:43701", + "issue:43844", + "issue:43873", + "issue:43937", + "issue:43994", + "issue:44112", + "issue:44291", + "issue:44423", + "issue:44464", + "issue:44493", + "issue:44554", + "issue:44734", + "issue:44869", + "issue:44964", + "issue:44977", + "issue:45084", + "issue:45200", + "issue:45229", + "issue:45245", + "issue:45446", + "issue:45520", + "issue:45584", + "issue:45588", + "issue:45823", + "issue:46050", + "issue:46285", + "issue:46369", + "issue:46424", + "issue:46701", + "issue:46710", + "issue:46752" + ], + "soft_pairs": [ + "issue:43606|issue:44112", + "issue:43572|issue:44291", + "issue:45245|issue:46710", + "issue:44493|issue:46285", + "issue:43504|issue:43653", + "issue:44464|issue:46424", + "issue:43937|issue:46701", + "issue:44464|issue:45584", + "issue:45200|issue:45229", + "issue:45229|issue:45823", + "issue:44869|issue:46752", + "issue:43873|issue:46050", + "issue:43844|issue:44964", + "issue:43994|issue:44493", + "issue:29942|issue:30333", + "issue:45588|issue:46050", + "issue:29159|issue:32090", + "issue:42490|issue:43696", + "issue:45084|issue:45520", + "issue:44977|issue:46701", + "issue:28218|issue:34567", + "issue:43065|issue:46369", + "issue:44554|issue:45446", + "issue:15354|issue:38175", + "issue:44423|issue:44734", + "issue:41720|issue:46710", + "issue:43493|issue:43701" + ], + "prepared_review_unit_hash": "230b02bf057d32a1a6545e33d1481ced6d7d90220acdc9e8a12445d0c543aed9", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35754, + "estimated_input_tokens": 8939, + "estimated_eval_tokens": 18134 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs share broad subsystem vocabulary, but they do not look like the same underlying bug or change. No PRs are present. I\u2019d use the offloading/quantization report as the best representative issue for the cluster, but not as a duplicate of the others.", + "confidence": 0.92, + "canonical_issue_reason": "issue:43873 is the broadest and most active report here, with multiple inbound references and discussion around offloading/quantization behavior, so it\u2019s the best single representative issue for the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43873 is the strongest umbrella issue candidate: active, well-discussed, and centered on a recurring infrastructure symptom rather than a narrow model-specific failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43606", + "right": "issue:44112", + "accept": false, + "reason": "Both mention device-related failures, but one is a CPU offload mismatch while the other is a stale GraniteSpeech device override test. Different code paths and symptoms." + }, + { + "left": "issue:43572", + "right": "issue:44291", + "accept": false, + "reason": "One is about missing `pad_token_idx` in `StableLmConfig`; the other is a constructor/`init_empty_weights` `_is_hf_initialized` argument error. Not the same bug." + }, + { + "left": "issue:45245", + "right": "issue:46710", + "accept": false, + "reason": "`RuntimeError: number of categories cannot exceed 2^24` is unrelated to an accuracy regression after a version upgrade." + }, + { + "left": "issue:44493", + "right": "issue:46285", + "accept": false, + "reason": "`unexpected key with position id` is a model loading/config key issue; the CLIP issue is a structural API difference in `.text_model`. Different fixes." + }, + { + "left": "issue:43504", + "right": "issue:43653", + "accept": false, + "reason": "Legacy field loading for BEIT semantic segmentation and BigBirdTokenizer special-token registration are unrelated problems." + }, + { + "left": "issue:44464", + "right": "issue:46424", + "accept": false, + "reason": "Compiled-forward output inconsistency and cache-length handling are both generation/cache topics, but they involve different mechanisms and failure modes." + }, + { + "left": "issue:43937", + "right": "issue:46701", + "accept": false, + "reason": "Invalid `GenerationConfig` for GLM-5 and a broken image-text-to-text pipeline for DiffusionGemma are separate issues." + }, + { + "left": "issue:44464", + "right": "issue:45584", + "accept": false, + "reason": "A compiled-forward generation mismatch is not the same as Whisper empty-transcription failure after `align_special_tokens`." + }, + { + "left": "issue:45200", + "right": "issue:45229", + "accept": false, + "reason": "Missing `mm_token_type_ids` default zeros and multi-GPU CUDA OOM are different bugs, even though both involve Gemma 4." + }, + { + "left": "issue:45229", + "right": "issue:45823", + "accept": false, + "reason": "Both are Gemma4 inference reports, but one is OOM and the other is a device mismatch during forward. Not mergeable as one fix." + }, + { + "left": "issue:44869", + "right": "issue:46752", + "accept": false, + "reason": "Whisper word-timestamp decode crash and empty-list `apply_chat_template` crash are unrelated tokenizer/decoding edge cases." + }, + { + "left": "issue:43873", + "right": "issue:46050", + "accept": false, + "reason": "Both touch quantization/offloading, but one is an offload behavior report and the other is a save/load corruption bug for `sinq`-quantized models. Different concrete problems." + }, + { + "left": "issue:43844", + "right": "issue:44964", + "accept": false, + "reason": "ZeRO-3 gradient increase and failure to load Phi-4 multimodal are unrelated, despite both being training/runtime regressions." + }, + { + "left": "issue:43994", + "right": "issue:44493", + "accept": false, + "reason": "SigLIP2 inference nonsense and unexpected position-id key warnings are not the same underlying defect." + }, + { + "left": "issue:29942", + "right": "issue:30333", + "accept": false, + "reason": "Flash Attention 2 CI failures and MLflow job-status reporting are entirely different subsystems." + }, + { + "left": "issue:45588", + "right": "issue:46050", + "accept": false, + "reason": "A flash-attention helper crash on `s_aux=None` is a different bug from `sinq` save/load breakage." + }, + { + "left": "issue:29159", + "right": "issue:32090", + "accept": false, + "reason": "Tokenizer slow/fast inconsistency and `_gpu_broadcast_one` rejecting `NoneType` are unrelated." + }, + { + "left": "issue:42490", + "right": "issue:43696", + "accept": false, + "reason": "A trailing-slash import warning and a GPT-oss CUDA OOM are not the same problem." + }, + { + "left": "issue:45084", + "right": "issue:45520", + "accept": false, + "reason": "Template-node compilation failure and a Python 3.13 `flash_attn` import KeyError are separate compatibility issues." + }, + { + "left": "issue:44977", + "right": "issue:46701", + "accept": false, + "reason": "Qwen3.5 flash-attention generation issues and DiffusionGemma pipeline failure do not share the same code path." + }, + { + "left": "issue:28218", + "right": "issue:34567", + "accept": false, + "reason": "Extra space after added token and `num_input_tokens_seen` not updating are different tokenizer/trainer-state issues." + }, + { + "left": "issue:43065", + "right": "issue:46369", + "accept": false, + "reason": "A dummy `nn.Conv2d` in Sam3PixelDecoder and memory overflow in sam3-litetext are both Sam3-related, but they are not the same bug." + }, + { + "left": "issue:44554", + "right": "issue:45446", + "accept": false, + "reason": "MPS attention correctness with mismatched head dims is unrelated to the PyTorch version check in flex_attention import logic." + }, + { + "left": "issue:15354", + "right": "issue:38175", + "accept": false, + "reason": "TorchScript GeneratorExp export failure and zero probabilities from SigLIP2 are unrelated model/runtime bugs." + }, + { + "left": "issue:44423", + "right": "issue:44734", + "accept": false, + "reason": "Continuous-batching multimodal crash and KV-cache continuation tensor-indexing crash are different server-side failures." + }, + { + "left": "issue:41720", + "right": "issue:46710", + "accept": false, + "reason": "A800 device-mapping CUDA assert for Qwen3 and a post-upgrade accuracy regression for DeepSeek are not the same issue." + }, + { + "left": "issue:43493", + "right": "issue:43701", + "accept": false, + "reason": "SigLIP2 HF/JAX discrepancy and resume-from-checkpoint key mismatch are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 27, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:29870", + "issue:29942", + "issue:37428", + "issue:38175", + "issue:39692", + "issue:42490", + "issue:42915", + "issue:43232", + "issue:43278", + "issue:43295", + "issue:43404", + "issue:43450", + "issue:43493", + "issue:43540", + "issue:43550", + "issue:43572", + "issue:43575", + "issue:43653", + "issue:43824", + "issue:43844", + "issue:43856", + "issue:43873", + "issue:43957", + "issue:44112", + "issue:44186", + "issue:44466", + "issue:44521", + "issue:44554", + "issue:44610", + "issue:44849", + "issue:44987", + "issue:45072", + "issue:45127", + "issue:45198", + "issue:45200", + "issue:45290", + "issue:45356", + "issue:45381", + "issue:45406", + "issue:45520", + "issue:45588", + "issue:45759", + "issue:45823", + "issue:46121", + "issue:46178", + "issue:46192", + "issue:46209", + "issue:46710" + ], + "soft_pairs": [ + "issue:45406|issue:46121", + "issue:43404|issue:46710", + "issue:45072|issue:45198", + "issue:37428|issue:43957", + "issue:45588|issue:45759", + "issue:43295|issue:43450", + "issue:43540|issue:45200", + "issue:44186|issue:46192", + "issue:45200|issue:45823", + "issue:45823|issue:46192", + "issue:43295|issue:43873", + "issue:43295|issue:44610", + "issue:29870|issue:29942", + "issue:45520|issue:46178", + "issue:43572|issue:44987", + "issue:43450|issue:43575", + "issue:43550|issue:43844", + "issue:43232|issue:44849", + "issue:43572|issue:43957", + "issue:37428|issue:43824", + "issue:44554|issue:45356", + "issue:42490|issue:43493", + "issue:39692|issue:46192", + "issue:38175|issue:43493", + "issue:44466|issue:45127", + "issue:43653|issue:44112", + "issue:43278|issue:43856", + "issue:45381|issue:46209", + "issue:44521|issue:45290", + "issue:42915|issue:43824" + ], + "prepared_review_unit_hash": "8e27222ad6dac4aa9c93d528547e79c8f347fd4c8b5a34c2a9c5f2b7289871ec", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 37011, + "estimated_input_tokens": 9253, + "estimated_eval_tokens": 18762 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly heterogeneous: the soft-similarity pairs share broad subsystems, but not the same concrete bug or change. I would not merge any of the proposed edges.", + "confidence": 0.71, + "canonical_issue_reason": "No single issue cleanly subsumes the whole set. If one issue must anchor the cluster, issue:44521 is the closest fit because it is the most active and broadest concrete report in the only obvious subtheme (apply_chat_template / multimodal handling).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44521 is the best representative issue in this noisy set: it is active, well-discussed, and describes a concrete multimodal template bug that is closer to a reusable umbrella than the other isolated reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45406", + "right": "issue:46121", + "accept": false, + "reason": "Different bugs: Gemma4Processor missing _tokenizer vs convert_rope_params_to_dict TypeError on JSON-loaded lists." + }, + { + "left": "issue:43404", + "right": "issue:46710", + "accept": false, + "reason": "Different models and symptoms: tied lm_head in Mistral3 vs DeepSeek accuracy regression after upgrade." + }, + { + "left": "issue:45072", + "right": "issue:45198", + "accept": false, + "reason": "Unrelated failures: bfloat16 dtype mismatches in inference vs Wav2Vec2 save/tokenization failure." + }, + { + "left": "issue:37428", + "right": "issue:43957", + "accept": false, + "reason": "Different code paths: missing flash-attention helper import vs meta-device model loading regression." + }, + { + "left": "issue:45588", + "right": "issue:45759", + "accept": false, + "reason": "Different bugs: flash_attention sink-less crash vs AutoModelForCausalLM.from_config not unwrapping text_config." + }, + { + "left": "issue:43295", + "right": "issue:43450", + "accept": false, + "reason": "Different multimodal issues: processor.tokenizer regression vs batched video shape bug." + }, + { + "left": "issue:43540", + "right": "issue:45200", + "accept": false, + "reason": "Different concrete problems: Qwen3OmniMoe video processing ValueError vs Gemma4 mm_token_type_ids defaulting." + }, + { + "left": "issue:44186", + "right": "issue:46192", + "accept": false, + "reason": "Tokenizer NER/padding crash is unrelated to return_tensors being ignored when text_kwargs is passed." + }, + { + "left": "issue:45200", + "right": "issue:45823", + "accept": false, + "reason": "Same model family but different bugs: default mm_token_type_ids vs device_map='auto' forward device mismatch." + }, + { + "left": "issue:45823", + "right": "issue:46192", + "accept": false, + "reason": "No shared underlying bug: Gemma4 device placement vs return_tensors handling." + }, + { + "left": "issue:43295", + "right": "issue:43873", + "accept": false, + "reason": "Processor API regression and quantization offloading behavior are different subsystems and failure modes." + }, + { + "left": "issue:43295", + "right": "issue:44610", + "accept": false, + "reason": "Processor/tokenizer regression does not match OmDet-Turbo's input-size mismatch." + }, + { + "left": "issue:29870", + "right": "issue:29942", + "accept": false, + "reason": "Bart generate UnboundLocalError and Flash Attention 2 test failures are not the same concrete bug." + }, + { + "left": "issue:45520", + "right": "issue:46178", + "accept": false, + "reason": "Different import/backend errors: flash_attn KeyError vs tensorflow_text backend mapping ValueError." + }, + { + "left": "issue:43572", + "right": "issue:44987", + "accept": false, + "reason": "StableLmConfig missing pad_token_idx is unrelated to a separate model-loading failure." + }, + { + "left": "issue:43450", + "right": "issue:43575", + "accept": false, + "reason": "Batched video processor shape bug and tensor-parallel OOM are different issues." + }, + { + "left": "issue:43550", + "right": "issue:43844", + "accept": false, + "reason": "torch.compile/SDPA model failure is unrelated to ZeRO-3 gradient growth behavior." + }, + { + "left": "issue:43232", + "right": "issue:44849", + "accept": false, + "reason": "Generation kwargs sync issue and Qwen3.5 hidden_states regression are different code paths." + }, + { + "left": "issue:43572", + "right": "issue:43957", + "accept": false, + "reason": "Config field regression and meta-device loading failure are unrelated." + }, + { + "left": "issue:37428", + "right": "issue:43824", + "accept": false, + "reason": "Different import errors: flash-support helper missing vs Qwen2_5_VL class export missing." + }, + { + "left": "issue:44554", + "right": "issue:45356", + "accept": false, + "reason": "MPS attention correctness bug is unrelated to Kimi tokenizer codec regression." + }, + { + "left": "issue:42490", + "right": "issue:43493", + "accept": false, + "reason": "Local-path slash warning is unrelated to SigLIP2 implementation discrepancy." + }, + { + "left": "issue:39692", + "right": "issue:46192", + "accept": false, + "reason": "SigLIP2 example/model-processor issues are not the same as return_tensors being ignored." + }, + { + "left": "issue:38175", + "right": "issue:43493", + "accept": false, + "reason": "Both are SigLIP2-related, but one is zero probabilities and the other is a broader JAX/HF discrepancy; not enough to treat as the same bug." + }, + { + "left": "issue:44466", + "right": "issue:45127", + "accept": false, + "reason": "Tied-weight serialization differs from LoRA merge collapse after vocab extension." + }, + { + "left": "issue:43653", + "right": "issue:44112", + "accept": false, + "reason": "BigBirdTokenizer special-token registration bug is unrelated to GraniteSpeech CI stale device override." + }, + { + "left": "issue:43278", + "right": "issue:43856", + "accept": false, + "reason": "dtype drift between train/eval and Qwen3 MoE memory inefficiency are different issues." + }, + { + "left": "issue:45381", + "right": "issue:46209", + "accept": false, + "reason": "Qwen2.5-VL video position IDs and FP8 inference on B200 are unrelated." + }, + { + "left": "issue:44521", + "right": "issue:45290", + "accept": false, + "reason": "Both involve apply_chat_template, but one corrupts assistant masks for multimodal inputs while the other crashes on tool-call messages with no content." + }, + { + "left": "issue:42915", + "right": "issue:43824", + "accept": false, + "reason": "Qwen3Moe FineGrainedFP8Config failure is unrelated to a missing Qwen2_5_VL import." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 28, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28218", + "issue:35141", + "issue:37428", + "issue:38175", + "issue:41720", + "issue:43262", + "issue:43334", + "issue:43335", + "issue:43388", + "issue:43425", + "issue:43450", + "issue:43452", + "issue:43525", + "issue:43526", + "issue:43550", + "issue:43606", + "issue:43653", + "issue:43819", + "issue:43824", + "issue:43827", + "issue:43901", + "issue:43950", + "issue:43975", + "issue:44112", + "issue:44206", + "issue:44442", + "issue:44479", + "issue:44561", + "issue:44610", + "issue:44792", + "issue:44857", + "issue:44898", + "issue:45083", + "issue:45198", + "issue:45200", + "issue:45325", + "issue:45412", + "issue:45520", + "issue:45563", + "issue:45584", + "issue:45593", + "issue:45759", + "issue:46170", + "issue:46192", + "issue:46209", + "issue:46234", + "issue:46285", + "issue:46512" + ], + "soft_pairs": [ + "issue:28218|issue:35141", + "issue:43452|issue:46512", + "issue:43950|issue:46285", + "issue:43334|issue:43525", + "issue:43824|issue:43975", + "issue:43262|issue:43450", + "issue:44442|issue:45198", + "issue:44792|issue:45563", + "issue:44479|issue:46192", + "issue:44898|issue:45412", + "issue:43819|issue:44112", + "issue:45200|issue:45325", + "issue:43827|issue:43901", + "issue:44610|issue:44857", + "issue:43388|issue:43526", + "issue:43335|issue:43550", + "issue:44561|issue:46234", + "issue:41720|issue:46209", + "issue:44857|issue:45593", + "issue:43819|issue:45083", + "issue:44206|issue:45584", + "issue:45759|issue:46285", + "issue:43606|issue:45083", + "issue:45520|issue:46170", + "issue:38175|issue:45412", + "issue:37428|issue:43425", + "issue:43335|issue:43653", + "issue:43550|issue:44112" + ], + "prepared_review_unit_hash": "30edae61d44701d54638991da1cc3b175d320cb3fc260cc985066aa23b21feea", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36460, + "estimated_input_tokens": 9115, + "estimated_eval_tokens": 18486 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated singleton bug reports that only share broad Transformers surface areas. None of the soft pairs look like the same underlying bug or change, so I reject them all; if forced to anchor the cluster, the non-persistent buffer regression is the broadest framework-level issue here.", + "confidence": 0.78, + "canonical_issue_reason": "No clear duplicate group emerges from the titles alone, but `from_pretrained()` corrupting non-persistent buffers is the most general core regression and the best anchor among otherwise unrelated reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43950 is the strongest standalone issue: it describes a concrete, high-impact 5.x regression in model loading/state handling that could affect many models.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:28218", + "right": "issue:35141", + "accept": false, + "reason": "Both touch tokenization/model resizing, but one is an added-token spacing bug and the other is embedding reinitialization on resize; different failure modes and fixes." + }, + { + "left": "issue:43452", + "right": "issue:46512", + "accept": false, + "reason": "One is a gguf loading breakage in from_pretrained; the other is stale dtype metadata from from_config. Different code paths and symptoms." + }, + { + "left": "issue:43950", + "right": "issue:46285", + "accept": false, + "reason": "Non-persistent buffer corruption is a loading/state bug; CLIP model structure inconsistency is an architectural API change. Not the same issue." + }, + { + "left": "issue:43334", + "right": "issue:43525", + "accept": false, + "reason": "Both mention missing pad_token_id, but they affect different model families and likely separate config omissions." + }, + { + "left": "issue:43824", + "right": "issue:43975", + "accept": false, + "reason": "Import error for a missing class versus incorrect detokenization for a specific model; unrelated bugs." + }, + { + "left": "issue:43262", + "right": "issue:43450", + "accept": false, + "reason": "Audio chat-template sampling rate default and video batched output shape are different processor bugs." + }, + { + "left": "issue:44442", + "right": "issue:45198", + "accept": false, + "reason": "Both involve speech tokenization, but one is AutoTokenizer loading failure and the other is save_pretrained/tokenization failure for a different model." + }, + { + "left": "issue:44792", + "right": "issue:45563", + "accept": false, + "reason": "A failing image-generation test for janus and a stale warning in paged generate are unrelated generation issues." + }, + { + "left": "issue:44479", + "right": "issue:46192", + "accept": false, + "reason": "Video input regression in Qwen multimodal models versus return_tensors being ignored in text kwargs; different bugs." + }, + { + "left": "issue:44898", + "right": "issue:45412", + "accept": false, + "reason": "Perceiver resolution handling and RT-DETR memory release are unrelated." + }, + { + "left": "issue:43819", + "right": "issue:44112", + "accept": false, + "reason": "DAC latent reconstruction mismatch and a stale GraniteSpeech device-override test do not share the same underlying defect." + }, + { + "left": "issue:45200", + "right": "issue:45325", + "accept": false, + "reason": "Gemma 4 token-type IDs defaulting and Qwen2.5-VL temporal position scaling are different multimodal behavior regressions." + }, + { + "left": "issue:43827", + "right": "issue:43901", + "accept": false, + "reason": "Both are docs-related, but they concern different pipeline deprecations and different documentation pages." + }, + { + "left": "issue:44610", + "right": "issue:44857", + "accept": false, + "reason": "Processor output size mismatch and AMP/CUDA loss crash are separate model/runtime issues." + }, + { + "left": "issue:43388", + "right": "issue:43526", + "accept": false, + "reason": "Both involve labels, but one is metric gathering dropping tuple elements and the other is image-processor label reduction returning the wrong shape." + }, + { + "left": "issue:43335", + "right": "issue:43550", + "accept": false, + "reason": "SwitchTransformers config creating sparse layers and Bamba torch.compile/SDPA failure are unrelated." + }, + { + "left": "issue:44561", + "right": "issue:46234", + "accept": false, + "reason": "Both mention missing import-utils helpers, but they are different symbols, different callers, and different compatibility regressions." + }, + { + "left": "issue:41720", + "right": "issue:46209", + "accept": false, + "reason": "Both are GPU inference failures, but on different hardware and with different failure mechanisms." + }, + { + "left": "issue:44857", + "right": "issue:45593", + "accept": false, + "reason": "LwDetr mixed-precision crash and D-FINE auxiliary-loss logic are not the same bug." + }, + { + "left": "issue:43819", + "right": "issue:45083", + "accept": false, + "reason": "Different helper-function semantics in unrelated audio/vision-moe code paths." + }, + { + "left": "issue:44206", + "right": "issue:45584", + "accept": false, + "reason": "Unsupported feature-extractor arg versus empty-transcription Whisper generation failure; distinct causes." + }, + { + "left": "issue:45759", + "right": "issue:46285", + "accept": false, + "reason": "Composite Qwen config unwrapping and CLIP text-model structure inconsistency are different model-API regressions." + }, + { + "left": "issue:43606", + "right": "issue:45083", + "accept": false, + "reason": "CPU offload device mismatch in bark-small is unrelated to qwen3_omni_moe feature-length helper behavior." + }, + { + "left": "issue:45520", + "right": "issue:46170", + "accept": false, + "reason": "Python 3.13 flash-attn import utility failure and Windows/ROCm torch.distributed dependency errors are separate platform-specific issues." + }, + { + "left": "issue:38175", + "right": "issue:45412", + "accept": false, + "reason": "Zero-probabilities bug in SigLIP2 and RT-DETR memory reclamation are unrelated." + }, + { + "left": "issue:37428", + "right": "issue:43425", + "accept": false, + "reason": "A missing flash-attention helper import and a Torch 2.10 incompatibility report are not the same concrete bug." + }, + { + "left": "issue:43335", + "right": "issue:43653", + "accept": false, + "reason": "Sparse-layer config bug and BigBirdTokenizer special-token registration/empty decode bug are unrelated." + }, + { + "left": "issue:43550", + "right": "issue:44112", + "accept": false, + "reason": "A torch.compile SDPA failure in Bamba and a stale CI test in GraniteSpeech are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 29, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:26413", + "issue:28282", + "issue:29127", + "issue:29942", + "issue:31501", + "issue:32090", + "issue:33357", + "issue:34689", + "issue:35141", + "issue:37428", + "issue:39692", + "issue:42490", + "issue:43278", + "issue:43335", + "issue:43504", + "issue:43526", + "issue:43606", + "issue:43611", + "issue:43720", + "issue:43819", + "issue:43825", + "issue:43854", + "issue:43931", + "issue:44112", + "issue:44351", + "issue:44448", + "issue:44493", + "issue:44514", + "issue:44521", + "issue:44743", + "issue:44779", + "issue:44855", + "issue:44857", + "issue:45083", + "issue:45127", + "issue:45200", + "issue:45245", + "issue:45290", + "issue:45310", + "issue:45478", + "issue:45588", + "issue:45593", + "issue:45759", + "issue:45859", + "issue:46326", + "issue:46431", + "issue:46512", + "issue:46566" + ], + "soft_pairs": [ + "issue:29942|issue:32090", + "issue:28282|issue:33357", + "issue:43611|issue:43931", + "issue:44448|issue:44743", + "issue:45759|issue:46512", + "issue:43335|issue:43504", + "issue:44855|issue:45083", + "issue:43278|issue:43825", + "issue:43720|issue:44112", + "issue:29127|issue:32090", + "issue:43335|issue:45083", + "issue:43335|issue:44112", + "issue:43335|issue:45593", + "issue:37428|issue:44351", + "issue:44514|issue:44521", + "issue:45588|issue:45859", + "issue:46431|issue:46566", + "issue:34689|issue:35141", + "issue:45290|issue:46326", + "issue:45127|issue:45245", + "issue:42490|issue:43854", + "issue:45200|issue:45588", + "issue:43606|issue:44857", + "issue:45310|issue:45478", + "issue:43819|issue:44493", + "issue:44448|issue:44779", + "issue:39692|issue:43526", + "issue:26413|issue:31501" + ], + "prepared_review_unit_hash": "384ef447e947ce57f478dfab011a2108a33b71335dae80b91c7586bc885247cd", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36428, + "estimated_input_tokens": 9107, + "estimated_eval_tokens": 18470 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous. The only strong duplicate candidate is the Qwen3.5 MoE from_pretrained regression (45310/45478), which looks like a near-identical pair rather than a guaranteed exact duplicate.", + "confidence": 0.88, + "canonical_issue_reason": "Issue 45310 is the best canonical issue because it is the earlier of the near-identical Qwen3.5 MoE from_pretrained reports and clearly names the shared regression.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45310 is the best representative of the duplicate pair because it is the earliest report and states the bug clearly.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:29942", + "right": "issue:32090", + "accept": false, + "reason": "Different failures: Flash Attention 2 test regressions vs a Trainer/GPU broadcast NoneType error." + }, + { + "left": "issue:28282", + "right": "issue:33357", + "accept": false, + "reason": "Unrelated problems: missing PyTorch import error vs a MacOS bus error with a CLIP model." + }, + { + "left": "issue:43611", + "right": "issue:43931", + "accept": false, + "reason": "Different loading bugs affecting different model families and failure modes." + }, + { + "left": "issue:44448", + "right": "issue:44743", + "accept": false, + "reason": "Both mention model behavior changes, but one is Pegasus output drift and the other is recurrent state reset in a Qwen modular model." + }, + { + "left": "issue:45759", + "right": "issue:46512", + "accept": false, + "reason": "Different core bugs: text_config unwrapping in from_config vs stale config dtype after dtype-aware model construction." + }, + { + "left": "issue:43335", + "right": "issue:43504", + "accept": false, + "reason": "Different model/config issues with no shared underlying code path." + }, + { + "left": "issue:44855", + "right": "issue:45083", + "accept": false, + "reason": "Separate bugs: Python 3.13 import/parsing failure vs a helper length-calculation issue in qwen3_omni_moe." + }, + { + "left": "issue:43278", + "right": "issue:43825", + "accept": false, + "reason": "Unrelated: embedding dtype mismatch during evaluate vs an incorrect pipeline error message about translation support." + }, + { + "left": "issue:43720", + "right": "issue:44112", + "accept": false, + "reason": "Different targets: BitNet packed-weight loading vs a stale GraniteSpeech CI test." + }, + { + "left": "issue:29127", + "right": "issue:32090", + "accept": false, + "reason": "Different subsystems and symptoms: LayoutLMv3 error messaging vs Trainer broadcast type handling." + }, + { + "left": "issue:43335", + "right": "issue:45083", + "accept": false, + "reason": "Unrelated config bug vs helper output-length behavior bug." + }, + { + "left": "issue:43335", + "right": "issue:44112", + "accept": false, + "reason": "No shared underlying bug; one is SwitchTransformers config creation, the other is a CI test issue." + }, + { + "left": "issue:43335", + "right": "issue:45593", + "accept": false, + "reason": "Different models and failure modes: sparse layer creation vs missing auxiliary losses." + }, + { + "left": "issue:37428", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but for completely different symbols and modules." + }, + { + "left": "issue:44514", + "right": "issue:44521", + "accept": false, + "reason": "Both involve apply_chat_template, but one is a batching crash with padding=False and the other is incorrect assistant masks for multimodal inputs." + }, + { + "left": "issue:45588", + "right": "issue:45859", + "accept": false, + "reason": "Different problems in different paths: flash_attention integration crash on sink-less models vs CPU-offload incompatibility in Qwen3_5MoE rotary embedding." + }, + { + "left": "issue:46431", + "right": "issue:46566", + "accept": false, + "reason": "Unrelated: missing chat template error vs DiffusionGemma staying on meta with device_map=auto." + }, + { + "left": "issue:34689", + "right": "issue:35141", + "accept": false, + "reason": "Different regressions: model loading for Llama 3.2 Vision vs embedding reinitialization after resize_token_embeddings." + }, + { + "left": "issue:45290", + "right": "issue:46326", + "accept": false, + "reason": "Both are chat-template related, but one is a tokenize=True crash with tool calls and no content, while the other is continue_final_message behavior for mistral_common tokenizers." + }, + { + "left": "issue:45127", + "right": "issue:45245", + "accept": false, + "reason": "Completely different bugs: LoRA merge with extended vocab vs a categorical-limit runtime error." + }, + { + "left": "issue:42490", + "right": "issue:43854", + "accept": false, + "reason": "Different loading issues: local path slash warning vs unit-test failure for GLM-4.7-Flash." + }, + { + "left": "issue:45200", + "right": "issue:45588", + "accept": false, + "reason": "Different models and mechanisms: Gemma 4 mm_token_type_ids defaulting vs flash_attention s_aux handling." + }, + { + "left": "issue:43606", + "right": "issue:44857", + "accept": false, + "reason": "Different runtime failures: CPU offload device mismatch vs AMP/CUDA crash in LwDetrImageLoss." + }, + { + "left": "issue:45310", + "right": "issue:45478", + "accept": true, + "reason": "Near-identical titles and the same Qwen3.5 MoE from_pretrained regression; this is very likely the same underlying bug, though the evidence is mostly title-level." + }, + { + "left": "issue:43819", + "right": "issue:44493", + "accept": false, + "reason": "Different bug classes: DAC forward/from_latents mismatch vs unexpected position-id keys across many models." + }, + { + "left": "issue:44448", + "right": "issue:44779", + "accept": false, + "reason": "Both are v4/v5 behavior regressions, but one is Pegasus output drift and the other is Deepseek tokenizer correctness; not the same bug." + }, + { + "left": "issue:39692", + "right": "issue:43526", + "accept": false, + "reason": "Different issues: documentation/example problems for SigLIP2 vs BeitImageProcessorFast label reduction behavior." + }, + { + "left": "issue:26413", + "right": "issue:31501", + "accept": false, + "reason": "Both mention training not proceeding, but one is resume_from_checkpoint/epoch_iterator and the other is a FineWeb SLM startup issue with different cause." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The summary is mostly grounded, but it overstates the evidence for the 45310/45478 pair by calling them an \"exact duplicate pair\" and the issue a clearly canonical duplicate set. The packet only shows identical titles and similar scores; that supports \"near-identical\" or \"very likely duplicate,\" not certainty. The rest of the soft-edge verdicts are reasonably conservative." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 30, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:10000", + "issue:15354", + "issue:27957", + "issue:28218", + "issue:29870", + "issue:29942", + "issue:32090", + "issue:33290", + "issue:33357", + "issue:34689", + "issue:35141", + "issue:37428", + "issue:38175", + "issue:39692", + "issue:40444", + "issue:42175", + "issue:42490", + "issue:43278", + "issue:43329", + "issue:43381", + "issue:43526", + "issue:43550", + "issue:43575", + "issue:43701", + "issue:43927", + "issue:44206", + "issue:44360", + "issue:44448", + "issue:44493", + "issue:44561", + "issue:44617", + "issue:44855", + "issue:44857", + "issue:44977", + "issue:45072", + "issue:45083", + "issue:45229", + "issue:45290", + "issue:45381", + "issue:45459", + "issue:45588", + "issue:45698", + "issue:45823", + "issue:45920", + "issue:46192", + "issue:46234", + "issue:46399", + "issue:46697" + ], + "soft_pairs": [ + "issue:44617|issue:46697", + "issue:28218|issue:32090", + "issue:39692|issue:44493", + "issue:44206|issue:45823", + "issue:45459|issue:46234", + "issue:44857|issue:45072", + "issue:43701|issue:45083", + "issue:32090|issue:33357", + "issue:42490|issue:43575", + "issue:43550|issue:45083", + "issue:44360|issue:44561", + "issue:38175|issue:44493", + "issue:29942|issue:35141", + "issue:27957|issue:34689", + "issue:44448|issue:44977", + "issue:29870|issue:32090", + "issue:43278|issue:43329", + "issue:45920|issue:46192", + "issue:40444|issue:43526", + "issue:10000|issue:15354", + "issue:44977|issue:45229", + "issue:43278|issue:43381", + "issue:45290|issue:45381", + "issue:44855|issue:46399", + "issue:44857|issue:45588", + "issue:29870|issue:33290", + "issue:43927|issue:45698", + "issue:37428|issue:42175" + ], + "prepared_review_unit_hash": "4a025884af194dde90162a04460d58059d07e87effe6a1516e22bc65c8d852e7", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36211, + "estimated_input_tokens": 9053, + "estimated_eval_tokens": 18362 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of unrelated Transformers issues that only share superficial subsystem/theme similarity. I would not merge any of the soft-edge pairs; most are distinct bugs across different models, tokenizers, loading paths, or runtime modes. No PRs are present in the cluster.", + "confidence": 0.92, + "canonical_issue_reason": "issue:45698 is the best anchor because it is a broad, user-facing `from_pretrained`/`save_pretrained` correctness bug with multiple inbound references, making it the most plausible representative issue in this otherwise heterogeneous set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45698 is the strongest standalone representative: it concerns a concrete, high-impact model loading regression and is broader than the other narrowly scoped bugs in the list.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44617", + "right": "issue:46697", + "accept": false, + "reason": "Both are model-specific memory/processing problems, but one is SAM3Video CUDA OOM and the other is Swin2SR over-padding. Different code paths and failure modes." + }, + { + "left": "issue:28218", + "right": "issue:32090", + "accept": false, + "reason": "Tokenizer added-space behavior and Trainer `_gpu_broadcast_one` NoneType error are unrelated bugs in different subsystems." + }, + { + "left": "issue:39692", + "right": "issue:44493", + "accept": false, + "reason": "SigLIP2 doc-example errors and unexpected key/position-id behavior are not the same bug; one is documentation/example breakage, the other a model input regression." + }, + { + "left": "issue:44206", + "right": "issue:45823", + "accept": false, + "reason": "These target different failures: a feature-extractor regression with an unsupported argument versus a device-map forward mismatch in Gemma4 PLE." + }, + { + "left": "issue:45459", + "right": "issue:46234", + "accept": false, + "reason": "Tokenizer protobuf error handling and a missing import_utils availability helper are separate import/error-path issues." + }, + { + "left": "issue:44857", + "right": "issue:45072", + "accept": false, + "reason": "AMP/CUDA crash in LwDetrImageLoss and bfloat16 dtype mismatches in SwitchTransformers/TimmWrapperModel are different numerical/runtime bugs." + }, + { + "left": "issue:43701", + "right": "issue:45083", + "accept": false, + "reason": "Checkpoint-resume key mismatch and qwen3_omni_moe feature-length helper behavior are unrelated." + }, + { + "left": "issue:32090", + "right": "issue:33357", + "accept": false, + "reason": "Trainer broadcast NoneType error and MacOS bus error with a community CLIP model are distinct failure modes." + }, + { + "left": "issue:42490", + "right": "issue:43575", + "accept": false, + "reason": "Trailing-slash local path import warning and Qwen2-57B-A14B-Instruct TP OOM are not the same underlying issue." + }, + { + "left": "issue:43550", + "right": "issue:45083", + "accept": false, + "reason": "Bamba torch.compile+SDPA failure and qwen3_omni_moe helper behavior differ in model, mechanism, and symptom." + }, + { + "left": "issue:44360", + "right": "issue:44561", + "accept": false, + "reason": "A discussion about a DSA indexer activation choice and a v5 trust_remote_code import regression are unrelated." + }, + { + "left": "issue:38175", + "right": "issue:44493", + "accept": false, + "reason": "Unexpected zero probabilities in SigLIP2 and unexpected position-id keys are different model-specific regressions." + }, + { + "left": "issue:29942", + "right": "issue:35141", + "accept": false, + "reason": "Flash Attention 2 test failures and output-embedding reinitialization after resize are separate issues." + }, + { + "left": "issue:27957", + "right": "issue:34689", + "accept": false, + "reason": "These are both Flash Attention/model-loading themed, but one is XLMRoberta Flash Attention 2 support and the other is Llama 3.2 Vision model loading regression; not the same bug." + }, + { + "left": "issue:44448", + "right": "issue:44977", + "accept": false, + "reason": "Pegasus v4/v5 output differences and Qwen3.5 flash-attention generation issues are unrelated model behavior regressions." + }, + { + "left": "issue:29870", + "right": "issue:32090", + "accept": false, + "reason": "BART generate() decoder_attention_mask bug and Trainer `_gpu_broadcast_one` NoneType error are separate code paths." + }, + { + "left": "issue:43278", + "right": "issue:43329", + "accept": false, + "reason": "BF16-to-FP32 dtype drift during eval and undefined multimodal video-token helpers are different problems in different components." + }, + { + "left": "issue:45920", + "right": "issue:46192", + "accept": false, + "reason": "AutoTokenizer returning wrong token IDs and `return_tensors` being ignored with explicit `text_kwargs` are tokenizer API bugs, but not the same concrete defect." + }, + { + "left": "issue:40444", + "right": "issue:43526", + "accept": false, + "reason": "Qwen2.5-VL iterable dataset/multi-image finetuning failure and BeitImageProcessorFast label reduction bug are unrelated multi-modal/data-processing issues." + }, + { + "left": "issue:10000", + "right": "issue:15354", + "accept": false, + "reason": "German DistilBertModel issue and GeneratorExp/torch.jit.script export failure are completely different model/runtime problems." + }, + { + "left": "issue:44977", + "right": "issue:45229", + "accept": false, + "reason": "Flash-attention generation problems in Qwen3.5 and Gemma4 multi-GPU CUDA OOM are unrelated." + }, + { + "left": "issue:43278", + "right": "issue:43381", + "accept": false, + "reason": "BF16 eval dtype mismatch and gradient checkpointing in eval mode are separate training/inference behaviors." + }, + { + "left": "issue:45290", + "right": "issue:45381", + "accept": false, + "reason": "Chat template tool-call crash and Qwen2.5-VL video position-id regression are different chat-templating versus multimodal-video bugs." + }, + { + "left": "issue:44855", + "right": "issue:46399", + "accept": false, + "reason": "Python 3.13 torch.jit decorator parsing error and Qwen3.5 kernel registration decorator issue are different import/registration failures." + }, + { + "left": "issue:44857", + "right": "issue:45588", + "accept": false, + "reason": "Both are crash reports, but one is an AMP/CUDA loss issue and the other is a flash_attention integration AttributeError on sink-less models; different root causes." + }, + { + "left": "issue:29870", + "right": "issue:33290", + "accept": false, + "reason": "BART generate-time mask bug and adafactor/deepspeed OOM are not the same underlying problem." + }, + { + "left": "issue:43927", + "right": "issue:45698", + "accept": false, + "reason": "DiaConfig custom token IDs lost on save/load and wrong custom module loaded after save_pretrained are both persistence-related, but they affect different objects and failure modes." + }, + { + "left": "issue:37428", + "right": "issue:42175", + "accept": false, + "reason": "Missing `_flash_supports_window_size` import and missing TensorFlow backend in `pip install '.[torch]'` are unrelated packaging/import issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 31, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:25251", + "issue:29127", + "issue:29870", + "issue:32090", + "issue:33290", + "issue:33357", + "issue:34567", + "issue:34689", + "issue:39692", + "issue:41720", + "issue:42490", + "issue:42915", + "issue:42994", + "issue:43278", + "issue:43381", + "issue:43412", + "issue:43575", + "issue:43611", + "issue:43653", + "issue:43701", + "issue:43873", + "issue:43976", + "issue:44186", + "issue:44206", + "issue:44361", + "issue:44448", + "issue:44466", + "issue:44479", + "issue:44561", + "issue:44568", + "issue:44743", + "issue:44779", + "issue:44871", + "issue:44977", + "issue:45198", + "issue:45229", + "issue:45290", + "issue:45372", + "issue:45406", + "issue:45440", + "issue:45491", + "issue:45563", + "issue:45588", + "issue:45803", + "issue:45823", + "issue:46121", + "issue:46655" + ], + "soft_pairs": [ + "issue:45290|issue:46655", + "issue:32090|issue:33290", + "issue:43873|issue:45229", + "issue:44561|issue:44779", + "issue:25251|issue:32090", + "issue:44448|issue:44466", + "issue:42490|issue:43873", + "issue:43976|issue:45440", + "issue:45588|issue:45823", + "issue:43278|issue:43575", + "issue:41720|issue:45229", + "issue:44568|issue:45491", + "issue:43381|issue:43701", + "issue:33357|issue:39692", + "issue:44977|issue:45563", + "issue:29127|issue:34567", + "issue:44871|issue:44977", + "issue:45198|issue:45803", + "issue:43653|issue:44743", + "issue:44361|issue:45198", + "issue:44186|issue:45198", + "issue:45372|issue:45588", + "issue:43611|issue:46121", + "issue:42915|issue:42994", + "issue:29870|issue:34689", + "issue:43412|issue:45588", + "issue:44206|issue:44479", + "issue:45372|issue:45406" + ], + "prepared_review_unit_hash": "55290b9d98627aa678a3f3eae9893209e51dfe7c3b2d3441ac61bc31ab3db57c", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35721, + "estimated_input_tokens": 8931, + "estimated_eval_tokens": 18118 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of transformer bug reports across unrelated models and subsystems. The soft pairs mostly share only broad themes like quantization, tokenization, generation, or device placement, but they do not describe the same underlying bug or change, so none should be merged as duplicates.", + "confidence": 0.87, + "canonical_issue_reason": "issue:43873 is the broadest and most central issue in the set: it is open, has the most discussion/inbound references, and covers quantization/offloading behavior that overlaps the cluster\u2019s dominant theme more than the others.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43873 is the best representative because it is active, well-discussed, and general enough to anchor the cluster, whereas the other issues are narrower model-specific regressions or unrelated errors.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45290", + "right": "issue:46655", + "accept": false, + "reason": "Both are video/chat-template style failures, but one is about tool-call assistant messages with no content and the other is a video processor padding bug; different code paths and symptoms." + }, + { + "left": "issue:32090", + "right": "issue:33290", + "accept": false, + "reason": "One is a Trainer/_gpu_broadcast_one NoneType error, the other is a DeepSpeed Adafactor OOM; both are training-related but not the same bug." + }, + { + "left": "issue:43873", + "right": "issue:45229", + "accept": false, + "reason": "Both involve memory/offloading concerns, but they are model- and scenario-specific OOM reports rather than the same concrete failure." + }, + { + "left": "issue:44561", + "right": "issue:44779", + "accept": false, + "reason": "Both affect v5 behavior, but one is removal of is_torch_fx_available breaking trust_remote_code models and the other is DeepSeek tokenizer output regression; unrelated implementations." + }, + { + "left": "issue:25251", + "right": "issue:32090", + "accept": false, + "reason": "Pipeline top_k nesting issue and Trainer GPU broadcast TypeError are unrelated bugs." + }, + { + "left": "issue:44448", + "right": "issue:44466", + "accept": false, + "reason": "Both mention output/serialization differences between v4 and v5, but one is Pegasus generation output and the other is lm_head.weight serialization; different problems." + }, + { + "left": "issue:42490", + "right": "issue:43873", + "accept": false, + "reason": "Local-path trailing-slash import warning is unrelated to quantization/offloading behavior." + }, + { + "left": "issue:43976", + "right": "issue:45440", + "accept": false, + "reason": "A Python version compatibility issue is unrelated to a DeepSeekV3MoE implementation divergence." + }, + { + "left": "issue:45588", + "right": "issue:45823", + "accept": false, + "reason": "Flash-attention crash on sink-less models and Gemma4 PLE device mismatch are different code paths with different triggers." + }, + { + "left": "issue:43278", + "right": "issue:43575", + "accept": false, + "reason": "Embedding dtype drift during evaluation and Qwen2-57B-A14B-Instruct TP OOM are not the same defect." + }, + { + "left": "issue:41720", + "right": "issue:45229", + "accept": false, + "reason": "Both are large-model GPU issues, but one is an auto device-map cudaErrorAssert and the other is a multi-GPU inference OOM; not the same bug." + }, + { + "left": "issue:44568", + "right": "issue:45491", + "accept": false, + "reason": "Tokenizer special-token handling and Gemma3 NaN embeddings from sliding-window padding are unrelated." + }, + { + "left": "issue:43381", + "right": "issue:43701", + "accept": false, + "reason": "Gradient checkpointing in eval mode and resume_from_checkpoint key mismatch are distinct training-state issues." + }, + { + "left": "issue:33357", + "right": "issue:39692", + "accept": false, + "reason": "A MacOS bus error with a CLIP model and SigLIP2 doc example errors are separate model/example problems." + }, + { + "left": "issue:44977", + "right": "issue:45563", + "accept": false, + "reason": "Qwen3.5 flash-attention generation regression and a stale paged-generate warning for num_return_sequences are different issues." + }, + { + "left": "issue:29127", + "right": "issue:34567", + "accept": false, + "reason": "LayoutLMv3 error messaging and TrainerState token counting are unrelated." + }, + { + "left": "issue:44871", + "right": "issue:44977", + "accept": false, + "reason": "Gemma eos_token_id inconsistency and Qwen3.5 flash-attention generation failure are different model-specific bugs." + }, + { + "left": "issue:45198", + "right": "issue:45803", + "accept": false, + "reason": "Wav2Vec2 save/tokenization failure and Fuyu bare-except swallowing errors are unrelated." + }, + { + "left": "issue:43653", + "right": "issue:44743", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and Qwen3_5 recurrent-state reset are different subsystems and failure modes." + }, + { + "left": "issue:44361", + "right": "issue:45198", + "accept": false, + "reason": "MLukeTokenizer AttributeError and Wav2Vec2 save/tokenization failure are unrelated tokenizer/model issues." + }, + { + "left": "issue:44186", + "right": "issue:45198", + "accept": false, + "reason": "LayoutLMv2 tokenizer crashes on NER/padding and Wav2Vec2 save/tokenization failure are different bugs." + }, + { + "left": "issue:45372", + "right": "issue:45588", + "accept": false, + "reason": "Gemma4 processor loading import error and flash_attention s_aux=None crash are separate failures." + }, + { + "left": "issue:43611", + "right": "issue:46121", + "accept": false, + "reason": "base_model_prefix loading regression and rope-validation JSON-list TypeError are unrelated loading/config bugs." + }, + { + "left": "issue:42915", + "right": "issue:42994", + "accept": false, + "reason": "Qwen3Moe FineGrainedFP8Config failure and quantized model saving failure are both quantization-related but clearly different operations and errors." + }, + { + "left": "issue:29870", + "right": "issue:34689", + "accept": false, + "reason": "BART generate() decoder_attention_mask assignment error and Llama 3.2 Vision model loading regression are not the same code-path problem." + }, + { + "left": "issue:43412", + "right": "issue:45588", + "accept": false, + "reason": "Gemma3n executorch export issues and flash_attention s_aux=None crash are different export/runtime problems." + }, + { + "left": "issue:44206", + "right": "issue:44479", + "accept": false, + "reason": "LasrFeatureExtractor center-arg crash and Qwen video input regression are unrelated media-processing bugs." + }, + { + "left": "issue:45372", + "right": "issue:45406", + "accept": false, + "reason": "Gemma4 processor import failure and transformers serve missing _tokenizer attribute are different processor/service issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 32, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:27957", + "issue:29127", + "issue:29942", + "issue:30064", + "issue:33290", + "issue:33357", + "issue:34689", + "issue:35141", + "issue:42490", + "issue:42915", + "issue:43065", + "issue:43066", + "issue:43334", + "issue:43381", + "issue:43421", + "issue:43526", + "issue:43531", + "issue:43575", + "issue:43653", + "issue:43701", + "issue:43756", + "issue:43824", + "issue:43931", + "issue:43994", + "issue:44186", + "issue:44265", + "issue:44279", + "issue:44387", + "issue:44442", + "issue:44462", + "issue:45072", + "issue:45198", + "issue:45245", + "issue:45250", + "issue:45372", + "issue:45412", + "issue:45440", + "issue:45459", + "issue:45491", + "issue:45563", + "issue:45593", + "issue:45712", + "issue:45834", + "issue:46121", + "issue:46369", + "issue:46399", + "issue:46640", + "issue:46693" + ], + "soft_pairs": [ + "issue:29942|issue:30064", + "issue:43653|issue:44442", + "issue:43756|issue:45440", + "issue:45491|issue:46693", + "issue:43065|issue:45412", + "issue:29127|issue:33357", + "issue:45459|issue:45712", + "issue:43065|issue:43994", + "issue:45245|issue:45563", + "issue:44265|issue:45198", + "issue:43575|issue:43701", + "issue:45372|issue:45459", + "issue:43066|issue:44462", + "issue:45440|issue:45593", + "issue:42490|issue:43381", + "issue:29127|issue:35141", + "issue:43994|issue:45412", + "issue:45412|issue:46369", + "issue:43421|issue:45491", + "issue:43575|issue:44387", + "issue:44442|issue:45072", + "issue:43526|issue:45834", + "issue:42915|issue:43931", + "issue:43526|issue:46693", + "issue:43526|issue:44186", + "issue:43824|issue:44279", + "issue:27957|issue:29127", + "issue:27957|issue:33290", + "issue:46121|issue:46399", + "issue:43994|issue:46369", + "issue:43334|issue:43531", + "issue:33290|issue:34689", + "issue:33290|issue:35141", + "issue:45250|issue:46640" + ], + "prepared_review_unit_hash": "93a896e4625a7ec8e9f8453059e9ea3e2c2e5554b12370015da7872db0c29d66", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 37675, + "estimated_input_tokens": 9419, + "estimated_eval_tokens": 19094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous. There is a small Flash Attention 2-themed subgroup, but the suggested pairs still look like distinct bugs/changes rather than true duplicates, so none should be merged.", + "confidence": 0.73, + "canonical_issue_reason": "issue:45250 is the broadest FA2-specific ticket in the set, making it the best umbrella representative of the small FA2 subgroup if one must be chosen.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45250 is the most generic and central issue title among the visible FA2-related items, so it is the cleanest anchor for this cluster despite the overall heterogeneity.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:29942", + "right": "issue:30064", + "accept": false, + "reason": "FA2 test failures vs image processor void segmentation maps are unrelated bugs." + }, + { + "left": "issue:43653", + "right": "issue:44442", + "accept": false, + "reason": "Both concern tokenizers, but they target different concrete failures and code paths." + }, + { + "left": "issue:43756", + "right": "issue:45440", + "accept": false, + "reason": "Different models and different bugs: RoPE layer dropping vs DeepSeekV3 implementation divergence." + }, + { + "left": "issue:45491", + "right": "issue:46693", + "accept": false, + "reason": "One is a correctness NaN issue; the other is a performance regression. Not the same bug." + }, + { + "left": "issue:43065", + "right": "issue:45412", + "accept": false, + "reason": "Dummy Conv2d in Sam3PixelDecoder and RT-DETR memory leaks are unrelated." + }, + { + "left": "issue:29127", + "right": "issue:33357", + "accept": false, + "reason": "Different subsystems and symptoms: LayoutLMv3 error messaging vs CLIP bus error on macOS." + }, + { + "left": "issue:45459", + "right": "issue:45712", + "accept": false, + "reason": "Tokenizer protobuf error masking vs leftover dummy classes/check_repo leakage are unrelated." + }, + { + "left": "issue:43065", + "right": "issue:43994", + "accept": false, + "reason": "Sam3PixelDecoder dummy layer and SigLIP2 bad outputs are unrelated model issues." + }, + { + "left": "issue:45245", + "right": "issue:45563", + "accept": false, + "reason": "Category-count runtime error and stale generate warning are different issues." + }, + { + "left": "issue:44265", + "right": "issue:45198", + "accept": false, + "reason": "torch.export failure with torch_compilable_check is not the same as Wav2Vec2 save/tokenization failure." + }, + { + "left": "issue:43575", + "right": "issue:43701", + "accept": false, + "reason": "Tensor-parallel OOM and resume_from_checkpoint key mismatch are unrelated." + }, + { + "left": "issue:45372", + "right": "issue:45459", + "accept": false, + "reason": "Gemma processor import failure and protobuf decode-error masking are different tokenizer/processor problems." + }, + { + "left": "issue:43066", + "right": "issue:44462", + "accept": false, + "reason": "Wrong tokenizer decoder type in v5 and AutoTokenizer ignoring tokenizer.json are different loading bugs." + }, + { + "left": "issue:45440", + "right": "issue:45593", + "accept": false, + "reason": "DeepSeekV3 implementation drift and D-FINE auxiliary-loss behavior are unrelated model issues." + }, + { + "left": "issue:42490", + "right": "issue:43381", + "accept": false, + "reason": "Import-path warning and gradient-checkpointing eval-mode restriction are unrelated." + }, + { + "left": "issue:29127", + "right": "issue:35141", + "accept": false, + "reason": "Error-message clarity for LayoutLMv3 boxes is unrelated to embedding reinitialization after resize." + }, + { + "left": "issue:43994", + "right": "issue:45412", + "accept": false, + "reason": "SigLIP2 inference quality issue and RT-DETR memory leak are unrelated." + }, + { + "left": "issue:45412", + "right": "issue:46369", + "accept": false, + "reason": "Both are memory-related, but one is a leak on deletion and the other is a model-specific overflow." + }, + { + "left": "issue:43421", + "right": "issue:45491", + "accept": false, + "reason": "Runtime post-processor updates for special tokens are unrelated to Gemma3 NaN embeddings." + }, + { + "left": "issue:43575", + "right": "issue:44387", + "accept": false, + "reason": "Both mention OOM, but the causes and code paths are different." + }, + { + "left": "issue:44442", + "right": "issue:45072", + "accept": false, + "reason": "Tokenizer loading failure and bf16 dtype mismatches are unrelated." + }, + { + "left": "issue:43526", + "right": "issue:45834", + "accept": false, + "reason": "Label reduction bug in BeitImageProcessorFast and Kosmos2.5 OCR index error are unrelated." + }, + { + "left": "issue:42915", + "right": "issue:43931", + "accept": false, + "reason": "Different Qwen model families and different failure modes; not the same underlying bug." + }, + { + "left": "issue:43526", + "right": "issue:46693", + "accept": false, + "reason": "Label reduction bug and FA2 generation regression are unrelated." + }, + { + "left": "issue:43526", + "right": "issue:44186", + "accept": false, + "reason": "BeitImageProcessorFast label handling and LayoutLMv2Tokenizer crashes are unrelated." + }, + { + "left": "issue:43824", + "right": "issue:44279", + "accept": false, + "reason": "ImportError for a specific model class and a generic dependency issue are not the same bug." + }, + { + "left": "issue:27957", + "right": "issue:29127", + "accept": false, + "reason": "Flash Attention 2 support vs LayoutLMv3 error messaging are unrelated." + }, + { + "left": "issue:27957", + "right": "issue:33290", + "accept": false, + "reason": "FA2 model support and Adafactor/DeepSpeed OOM are unrelated." + }, + { + "left": "issue:46121", + "right": "issue:46399", + "accept": false, + "reason": "RoPE validation TypeError and Qwen3.5 kernel registration failure are different issues." + }, + { + "left": "issue:43994", + "right": "issue:46369", + "accept": false, + "reason": "SigLIP2 nonsensical outputs and Sam3-litetext memory overflow are unrelated." + }, + { + "left": "issue:43334", + "right": "issue:43531", + "accept": false, + "reason": "Qwen3-VL pad_token_id loading error and Qwen3-MoE sliding_window behavior are different bugs." + }, + { + "left": "issue:33290", + "right": "issue:34689", + "accept": false, + "reason": "Adafactor/DeepSpeed OOM and Llama 3.2 Vision loading failure are unrelated." + }, + { + "left": "issue:33290", + "right": "issue:35141", + "accept": false, + "reason": "Optimizer OOM and embedding reinitialization after resize are unrelated." + }, + { + "left": "issue:45250", + "right": "issue:46640", + "accept": false, + "reason": "Both are FA2-themed, but the titles do not indicate the same concrete bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 33, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:27957", + "issue:29870", + "issue:42175", + "issue:42490", + "issue:43262", + "issue:43316", + "issue:43381", + "issue:43493", + "issue:43525", + "issue:43643", + "issue:43646", + "issue:43720", + "issue:43723", + "issue:43749", + "issue:43761", + "issue:43827", + "issue:43873", + "issue:43931", + "issue:44062", + "issue:44077", + "issue:44079", + "issue:44206", + "issue:44442", + "issue:44479", + "issue:44514", + "issue:44743", + "issue:44811", + "issue:44855", + "issue:44871", + "issue:44898", + "issue:44913", + "issue:44977", + "issue:44987", + "issue:45003", + "issue:45137", + "issue:45245", + "issue:45325", + "issue:45381", + "issue:45440", + "issue:45479", + "issue:45588", + "issue:45600", + "issue:45759", + "issue:45859", + "issue:45907", + "issue:46178", + "issue:46234", + "issue:46697" + ], + "soft_pairs": [ + "issue:45588|issue:45600", + "issue:43761|issue:45859", + "issue:43381|issue:43873", + "issue:44514|issue:45381", + "issue:43646|issue:44077", + "issue:43262|issue:44206", + "issue:44977|issue:45245", + "issue:44743|issue:44811", + "issue:44442|issue:44898", + "issue:42490|issue:44743", + "issue:43720|issue:44442", + "issue:45003|issue:45440", + "issue:42175|issue:46234", + "issue:27957|issue:29870", + "issue:43316|issue:43525", + "issue:43723|issue:45479", + "issue:43493|issue:43827", + "issue:44077|issue:44479", + "issue:45325|issue:46697", + "issue:43873|issue:44871", + "issue:44062|issue:45907", + "issue:43761|issue:44079", + "issue:43749|issue:43931", + "issue:43643|issue:44913", + "issue:43316|issue:45759", + "issue:44855|issue:45137", + "issue:44987|issue:46178" + ], + "prepared_review_unit_hash": "0a4a844083778ce504364ab33cdd63424d6a3a02b6779e7569fd45a3f7a35d09", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 36019, + "estimated_input_tokens": 9005, + "estimated_eval_tokens": 18266 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a false-positive mix of unrelated Transformers issues across different models, loading paths, tokenizers, vision/audio processors, and backend/quantization behavior. No soft edge looks like the same underlying bug or change.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical issue: the items are not duplicates and span many unrelated regressions/features, so there is no single representative bug.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: none of these issues is a good umbrella representative for the cluster because the themes are too heterogeneous.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45588", + "right": "issue:45600", + "accept": false, + "reason": "Both are CI/backend-related, but one is a flash-attention runtime crash and the other is a stale auto-mapping reference; different code paths." + }, + { + "left": "issue:43761", + "right": "issue:45859", + "accept": false, + "reason": "Different models and failures: missing hidden_states in CLIPVisionModel vs CPU-offload incompatibility in Qwen3_5MoeTextRotaryEmbedding." + }, + { + "left": "issue:43381", + "right": "issue:43873", + "accept": false, + "reason": "One is about gradient checkpointing in eval mode; the other is offloading with quantization. Same broad area, different bugs." + }, + { + "left": "issue:44514", + "right": "issue:45381", + "accept": false, + "reason": "Both involve Qwen2.5-VL video/chat handling, but one is a batched apply_chat_template crash and the other is wrong vision_position_ids/rope scaling." + }, + { + "left": "issue:43646", + "right": "issue:44077", + "accept": false, + "reason": "Custom model initialization breakage is not the same as the patchtsmixer post_init API restriction." + }, + { + "left": "issue:43262", + "right": "issue:44206", + "accept": false, + "reason": "Audio processor sampling-rate defaulting and a feature extractor center-arg crash are separate preprocessing bugs." + }, + { + "left": "issue:44977", + "right": "issue:45245", + "accept": false, + "reason": "Qwen3.5 flash-attention generation issue is unrelated to the categorical-cardinality runtime error." + }, + { + "left": "issue:44743", + "right": "issue:44811", + "accept": false, + "reason": "Different subsystems and symptoms: recurrent state reset in modular_qwen3_5 vs Whisper batch_decode skip_special_tokens handling." + }, + { + "left": "issue:44442", + "right": "issue:44898", + "accept": false, + "reason": "Tokenizer loading failure and Perceiver positional-encoding/image-size failure are unrelated." + }, + { + "left": "issue:42490", + "right": "issue:44743", + "accept": false, + "reason": "Local-path import warning has nothing to do with Qwen recurrent-state caching." + }, + { + "left": "issue:43720", + "right": "issue:44442", + "accept": false, + "reason": "BitNet packed-weight loading under accelerate and FastSpeech2ConformerTokenizer loading are different failure modes." + }, + { + "left": "issue:45003", + "right": "issue:45440", + "accept": false, + "reason": "sys.modules access safety issue and DeepseekV3MoE divergence are separate code-path problems." + }, + { + "left": "issue:42175", + "right": "issue:46234", + "accept": false, + "reason": "Missing tensorflow in a torch-only install is unrelated to a missing import-utils helper symbol." + }, + { + "left": "issue:27957", + "right": "issue:29870", + "accept": false, + "reason": "Flash Attention 2 support for XLMRoberta and Bart decoder_attention_mask initialization are unrelated." + }, + { + "left": "issue:43316", + "right": "issue:43525", + "accept": false, + "reason": "Both are config/API discrepancies, but they affect different models and different missing fields." + }, + { + "left": "issue:43723", + "right": "issue:45479", + "accept": false, + "reason": "Tokenizer loading in v5 and degenerate zero loss in sequence classification are unrelated." + }, + { + "left": "issue:43493", + "right": "issue:43827", + "accept": false, + "reason": "SigLIP2 implementation mismatch and docs still referencing pipeline() are not the same bug." + }, + { + "left": "issue:44077", + "right": "issue:44479", + "accept": false, + "reason": "patchtsmixer post_init policy and Qwen video-input regression are unrelated." + }, + { + "left": "issue:45325", + "right": "issue:46697", + "accept": false, + "reason": "Qwen2.5-VL rope-index scaling and Swin2SR over-padding affect different models and preprocessing logic." + }, + { + "left": "issue:43873", + "right": "issue:44871", + "accept": false, + "reason": "Quantization/offloading bug and Gemma eos_token_id inconsistency are unrelated." + }, + { + "left": "issue:44062", + "right": "issue:45907", + "accept": false, + "reason": "AddedToken special-arg collision and list_repo_files revision forwarding are distinct API bugs." + }, + { + "left": "issue:43761", + "right": "issue:44079", + "accept": false, + "reason": "CLIPVisionModel hidden_states regression is unrelated to ModelOutput key assignment when a prior value is None." + }, + { + "left": "issue:43749", + "right": "issue:43931", + "accept": false, + "reason": "FSDP CPU RAM efficient loading and Qwen3-VL weight-shape mismatch are different loading issues." + }, + { + "left": "issue:43643", + "right": "issue:44913", + "accept": false, + "reason": "trust_remote_code missing fields and GPTNeoX rotary_pct reload behavior do not share a concrete code path." + }, + { + "left": "issue:43316", + "right": "issue:45759", + "accept": false, + "reason": "Gemma3TextConfig API discrepancy and AutoModelForCausalLM text_config unwrapping are related only at a high level, not the same bug." + }, + { + "left": "issue:44855", + "right": "issue:45137", + "accept": false, + "reason": "Python 3.13 torch.jit parsing error and DeepSpeed ZeRO3 deque pop error are unrelated runtime failures." + }, + { + "left": "issue:44987", + "right": "issue:46178", + "accept": false, + "reason": "Model-loading regression for a specific repo and a tensorflow_text backend mapping error are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 34, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:16998", + "issue:22355", + "issue:25251", + "issue:27957", + "issue:28282", + "issue:32090", + "issue:42175", + "issue:42617", + "issue:42907", + "issue:43232", + "issue:43295", + "issue:43316", + "issue:43388", + "issue:43404", + "issue:43441", + "issue:43452", + "issue:43550", + "issue:43575", + "issue:43606", + "issue:43646", + "issue:43701", + "issue:43716", + "issue:43742", + "issue:43761", + "issue:43825", + "issue:43931", + "issue:44077", + "issue:44162", + "issue:44188", + "issue:44190", + "issue:44442", + "issue:44464", + "issue:44496", + "issue:44534", + "issue:44792", + "issue:44871", + "issue:44913", + "issue:45216", + "issue:45584", + "issue:45698", + "issue:45803", + "issue:46050", + "issue:46170", + "issue:46234", + "issue:46291", + "issue:46365", + "issue:46421", + "issue:46506" + ], + "soft_pairs": [ + "issue:43931|issue:45216", + "issue:43761|issue:44188", + "issue:44190|issue:44496", + "issue:43232|issue:43388", + "issue:44442|issue:45803", + "issue:42907|issue:45698", + "issue:43701|issue:46506", + "issue:42617|issue:43575", + "issue:43575|issue:43742", + "issue:27957|issue:32090", + "issue:43550|issue:43701", + "issue:25251|issue:28282", + "issue:43606|issue:43701", + "issue:44464|issue:46421", + "issue:46234|issue:46291", + "issue:43295|issue:43825", + "issue:16998|issue:22355", + "issue:43295|issue:44871", + "issue:44871|issue:45584", + "issue:43316|issue:43716", + "issue:42175|issue:43316", + "issue:44077|issue:44534", + "issue:44871|issue:46050", + "issue:43646|issue:44913", + "issue:43452|issue:44496", + "issue:44162|issue:44792", + "issue:45803|issue:46365", + "issue:45803|issue:46170", + "issue:43404|issue:43441" + ], + "prepared_review_unit_hash": "362f8bc808e6a0a6b35e91fae0315433cf45892b5501b388cdb3c451c8a26089", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36260, + "estimated_input_tokens": 9065, + "estimated_eval_tokens": 18386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No pair looks like a true duplicate; the soft matches are mostly broad subsystem similarity rather than the same concrete bug. The most representative issue in this set is the active save/load regression around custom modules.", + "confidence": 0.93, + "canonical_issue_reason": "issue:45698 is the strongest representative: it is open, has the most discussion/inbound refs here, and describes a concrete, broad save_pretrained/from_pretrained regression with custom module loading.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45698 has the clearest user-facing failure, broadest impact, and strongest ongoing activity, making it the best single issue to anchor this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43931", + "right": "issue:45216", + "accept": false, + "reason": "Different bugs: Qwen3-VL load-time weight shape mismatch vs Qwen3.5 save_pretrained checkpoint regression." + }, + { + "left": "issue:43761", + "right": "issue:44188", + "accept": false, + "reason": "Different code paths: CLIPVisionModel hidden_states regression vs torch.compile attention-kernel divergence." + }, + { + "left": "issue:44190", + "right": "issue:44496", + "accept": false, + "reason": "Different failures: example script local dataset loading vs unrecognized model/config loading error." + }, + { + "left": "issue:43232", + "right": "issue:43388", + "accept": false, + "reason": "Different functionality: generation kwargs update after sync_gpus vs gather_for_metrics dropping tuple labels." + }, + { + "left": "issue:44442", + "right": "issue:45803", + "accept": false, + "reason": "Tokenizer/model loading failure vs a bare-except bug in tensor conversion that hides interrupts/errors." + }, + { + "left": "issue:42907", + "right": "issue:45698", + "accept": false, + "reason": "Both involve persistence, but one is dequantized Ministral/Devstrals saving and the other is wrong custom module loading after save_pretrained." + }, + { + "left": "issue:43701", + "right": "issue:46506", + "accept": false, + "reason": "Checkpoint key mismatch and CPU/CUDA output divergence are unrelated bugs." + }, + { + "left": "issue:42617", + "right": "issue:43575", + "accept": false, + "reason": "3d_parallel example failure is not the same as Qwen2 tensor-parallel OOM." + }, + { + "left": "issue:43575", + "right": "issue:43742", + "accept": false, + "reason": "OOM on a large Qwen2 load is distinct from a key error while loading MobileLLM-125M." + }, + { + "left": "issue:27957", + "right": "issue:32090", + "accept": false, + "reason": "FlashAttention 2 support issue is different from the trainer _gpu_broadcast_one NoneType error." + }, + { + "left": "issue:43550", + "right": "issue:43701", + "accept": false, + "reason": "torch.compile + SDPA failure is unrelated to resume_from_checkpoint key mismatch." + }, + { + "left": "issue:25251", + "right": "issue:28282", + "accept": false, + "reason": "Pipeline top_k nesting bug is unrelated to missing PyTorch import errors." + }, + { + "left": "issue:43606", + "right": "issue:43701", + "accept": false, + "reason": "CPU offload device mismatch is a different failure than checkpoint key mismatch." + }, + { + "left": "issue:44464", + "right": "issue:46421", + "accept": false, + "reason": "Both mention chunked/generation/cache themes, but one is inconsistent outputs and the other is spurious recompilation from cache lazy init." + }, + { + "left": "issue:46234", + "right": "issue:46291", + "accept": false, + "reason": "Missing import_utils helper vs kernels import requiring version/revision are separate dependency/import problems." + }, + { + "left": "issue:43295", + "right": "issue:43825", + "accept": false, + "reason": "Custom model code regression around processor.tokenizer is not the same as a misleading pipeline translation-task error message." + }, + { + "left": "issue:16998", + "right": "issue:22355", + "accept": false, + "reason": "A model_max_length question is unrelated to the missing transformers.onnx import error." + }, + { + "left": "issue:43295", + "right": "issue:44871", + "accept": false, + "reason": "Processor/tokenizer image-handling regression is different from an eos_token_id config inconsistency." + }, + { + "left": "issue:44871", + "right": "issue:45584", + "accept": false, + "reason": "Different symptoms and code paths: eos_token_id mismatch vs Whisper empty transcription after align_special_tokens." + }, + { + "left": "issue:43316", + "right": "issue:43716", + "accept": false, + "reason": "Config API discrepancy is unrelated to image preprocessor/model dtype mismatch." + }, + { + "left": "issue:42175", + "right": "issue:43316", + "accept": false, + "reason": "Install extras/backend packaging issue is not the same as the Gemma3TextConfig API discrepancy." + }, + { + "left": "issue:44077", + "right": "issue:44534", + "accept": false, + "reason": "Optional post_init validation and non-persistent buffer junk are distinct transformer v5 issues." + }, + { + "left": "issue:44871", + "right": "issue:46050", + "accept": false, + "reason": "eos_token_id config inconsistency is unrelated to the sinq quantization save/load breakage." + }, + { + "left": "issue:43646", + "right": "issue:44913", + "accept": false, + "reason": "General Transformers 5 initialization breakage is different from GPTNeoXConfig rotary_pct not persisting on reload." + }, + { + "left": "issue:43452", + "right": "issue:44496", + "accept": false, + "reason": "gguf_file breaking tokenizer/model from_pretrained is not the same as an unrecognized model type in config.json." + }, + { + "left": "issue:44162", + "right": "issue:44792", + "accept": false, + "reason": "ESM2 broken regression and a janus model test failure are unrelated." + }, + { + "left": "issue:45803", + "right": "issue:46365", + "accept": false, + "reason": "Bare except in Fuyu tensor conversion is unrelated to Trainer import being blocked by datasets." + }, + { + "left": "issue:45803", + "right": "issue:46170", + "accept": false, + "reason": "Bare except swallowing errors is unrelated to the Windows ROCm torch.distributed dependency problem." + }, + { + "left": "issue:43404", + "right": "issue:43441", + "accept": false, + "reason": "Tied lm_head weight bug in Mistral3ForConditionalGeneration is different from the FlashAttention failure in Ministral-3." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 35, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:35141", + "issue:41950", + "issue:42490", + "issue:43065", + "issue:43352", + "issue:43388", + "issue:43475", + "issue:43504", + "issue:43525", + "issue:43531", + "issue:43540", + "issue:43572", + "issue:43650", + "issue:43673", + "issue:43688", + "issue:43761", + "issue:43827", + "issue:43994", + "issue:44190", + "issue:44479", + "issue:44514", + "issue:44534", + "issue:44610", + "issue:44617", + "issue:44734", + "issue:44743", + "issue:44792", + "issue:44855", + "issue:44913", + "issue:44964", + "issue:44977", + "issue:45127", + "issue:45200", + "issue:45406", + "issue:45542", + "issue:45588", + "issue:45600", + "issue:45632", + "issue:45698", + "issue:46082", + "issue:46178", + "issue:46202", + "issue:46234", + "issue:46369", + "issue:46424", + "issue:46617", + "issue:46640", + "issue:46697" + ], + "soft_pairs": [ + "issue:45632|issue:46424", + "issue:44610|issue:46369", + "issue:43761|issue:44479", + "issue:43572|issue:46178", + "issue:43650|issue:46202", + "issue:43065|issue:44617", + "issue:43540|issue:44514", + "issue:45542|issue:46234", + "issue:45127|issue:45200", + "issue:43504|issue:45698", + "issue:44792|issue:44977", + "issue:43388|issue:43688", + "issue:44792|issue:45600", + "issue:43673|issue:44743", + "issue:43352|issue:46640", + "issue:41950|issue:43475", + "issue:43525|issue:43531", + "issue:44190|issue:44964", + "issue:44534|issue:44913", + "issue:35141|issue:42490", + "issue:44734|issue:45406", + "issue:46082|issue:46697", + "issue:45632|issue:46617", + "issue:44855|issue:45588", + "issue:43827|issue:43994" + ], + "prepared_review_unit_hash": "928848e31bc6181ccad561d21094d434f1c62f52de166ce7decade5068c147ff", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35209, + "estimated_input_tokens": 8803, + "estimated_eval_tokens": 17862 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are unrelated model-, processor-, cache-, or config-specific bugs. None of the soft edges look like true duplicates; they only share broad subsystems such as loading, cache, generation, or multimodal processing.", + "confidence": 0.18, + "canonical_issue_reason": "No clear duplicate family emerges; if one issue must represent the cluster, issue 45698 is the broadest and most central loading-related bug with the most discussion activity.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45698 is the best representative only in a weak sense: it is an actively discussed, broadly framed core loading bug, whereas the rest are mostly narrow, model-specific regressions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45632", + "right": "issue:46424", + "accept": false, + "reason": "Both mention cache behavior, but one is a trust_remote_code path collision and the other is max_cache_length handling; different failure modes and code paths." + }, + { + "left": "issue:44610", + "right": "issue:46369", + "accept": false, + "reason": "Both involve SAM3-related models, but one is a processor size mismatch and the other is memory overflow; not the same bug." + }, + { + "left": "issue:43761", + "right": "issue:44479", + "accept": false, + "reason": "Different models and different regressions: CLIPVision hidden_states vs Qwen video-input handling." + }, + { + "left": "issue:43572", + "right": "issue:46178", + "accept": false, + "reason": "Unrelated: one is a missing config attribute, the other is a backend registry error." + }, + { + "left": "issue:43650", + "right": "issue:46202", + "accept": false, + "reason": "The first is a nonspecific placeholder issue; the second is a Gemma pipeline roundtrip bug with a specific token mismatch." + }, + { + "left": "issue:43065", + "right": "issue:44617", + "accept": false, + "reason": "One concerns a dummy Conv2d in a decoder; the other is an OOM in Sam3Video. No shared underlying defect is evident." + }, + { + "left": "issue:43540", + "right": "issue:44514", + "accept": false, + "reason": "Both are multimodal/video related, but they hit different APIs and different model families." + }, + { + "left": "issue:45542", + "right": "issue:46234", + "accept": false, + "reason": "Completely different subsystems: TensorBoard/TensorFlow backend installation vs a missing import_utils symbol." + }, + { + "left": "issue:45127", + "right": "issue:45200", + "accept": false, + "reason": "One is LoRA/vocabulary collapse with tied embeddings; the other is a Gemma 4 fine-tuning default for mm_token_type_ids." + }, + { + "left": "issue:43504", + "right": "issue:45698", + "accept": false, + "reason": "Both involve model loading, but one is a legacy field in a preset and the other is custom-module resolution after save/load; not the same bug." + }, + { + "left": "issue:44792", + "right": "issue:44977", + "accept": false, + "reason": "Different models and different symptoms: Janus image generation test failure vs Qwen3.5 flash-attention generation issue." + }, + { + "left": "issue:43388", + "right": "issue:43688", + "accept": false, + "reason": "One is metric gathering dropping tuple labels; the other is auxiliary-loss normalization. Distinct training bugs." + }, + { + "left": "issue:44792", + "right": "issue:45600", + "accept": false, + "reason": "A Janus image-generation failure is unrelated to Sam3LiteText auto-mapping references." + }, + { + "left": "issue:43673", + "right": "issue:44743", + "accept": false, + "reason": "Both touch cache/recurrent-state logic, but one is a general v5 chunked_prefill cache issue and the other is a Qwen3.5-specific recurrent reset bug." + }, + { + "left": "issue:43352", + "right": "issue:46640", + "accept": false, + "reason": "One is a concrete unsupported-model error for FA2; the other is a generic flash-attention issue with no evidence it is the same model/path." + }, + { + "left": "issue:41950", + "right": "issue:43475", + "accept": false, + "reason": "Different product areas: video-classification pipeline processor lookup vs SAM 3 video output attribute missing." + }, + { + "left": "issue:43525", + "right": "issue:43531", + "accept": false, + "reason": "A missing pad_token_id in Llama4Config is unrelated to Qwen3-MoE sliding_window behavior." + }, + { + "left": "issue:44190", + "right": "issue:44964", + "accept": false, + "reason": "Both are loading problems, but one is a local dataset script issue and the other is a model-loading regression for Phi-4 multimodal." + }, + { + "left": "issue:44534", + "right": "issue:44913", + "accept": false, + "reason": "Non-persistent buffer initialization and GPTNeoX rotary_pct reload behavior are different bugs in different areas." + }, + { + "left": "issue:35141", + "right": "issue:42490", + "accept": false, + "reason": "One is about resized token embeddings and tied weights; the other is a local-path import warning with trailing slash handling." + }, + { + "left": "issue:44734", + "right": "issue:45406", + "accept": false, + "reason": "Both are serve-related, but one is KV-cache continuation indexing and the other is a Gemma4Processor missing _tokenizer attribute." + }, + { + "left": "issue:46082", + "right": "issue:46697", + "accept": false, + "reason": "Completely unrelated: LlamaConfig head_dim validation vs Swin2SR image over-padding." + }, + { + "left": "issue:45632", + "right": "issue:46617", + "accept": false, + "reason": "Both involve cache/loading, but one is a leaf-directory collision and the other is a FileNotFoundError from cache resolution; not the same underlying bug." + }, + { + "left": "issue:44855", + "right": "issue:45588", + "accept": false, + "reason": "Python 3.13 import/torch.jit parsing issue is unrelated to a flash_attention AttributeError on sink-less models." + }, + { + "left": "issue:43827", + "right": "issue:43994", + "accept": false, + "reason": "One is stale documentation after pipeline removals; the other is a specific SigLIP2 inference-quality issue involving AutoModel and pipeline." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 36, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:25251", + "issue:27957", + "issue:29870", + "issue:35141", + "issue:39692", + "issue:41720", + "issue:43065", + "issue:43295", + "issue:43335", + "issue:43526", + "issue:43540", + "issue:43550", + "issue:43644", + "issue:43673", + "issue:43761", + "issue:43931", + "issue:44060", + "issue:44077", + "issue:44112", + "issue:44190", + "issue:44242", + "issue:44464", + "issue:44479", + "issue:44610", + "issue:44617", + "issue:44734", + "issue:44779", + "issue:44855", + "issue:44877", + "issue:44913", + "issue:44933", + "issue:45127", + "issue:45245", + "issue:45276", + "issue:45290", + "issue:45357", + "issue:45362", + "issue:45381", + "issue:45563", + "issue:45584", + "issue:45600", + "issue:46369", + "issue:46421", + "issue:46489", + "issue:46655", + "issue:46697", + "issue:46752" + ], + "soft_pairs": [ + "issue:43931|issue:44060", + "issue:43673|issue:46421", + "issue:43761|issue:44242", + "issue:29870|issue:35141", + "issue:44617|issue:45584", + "issue:45563|issue:45584", + "issue:43644|issue:44913", + "issue:44933|issue:45362", + "issue:25251|issue:27957", + "issue:43335|issue:44855", + "issue:44479|issue:44734", + "issue:44077|issue:44877", + "issue:43550|issue:44190", + "issue:45381|issue:46369", + "issue:41720|issue:45245", + "issue:43335|issue:44190", + "issue:43065|issue:44610", + "issue:44464|issue:45563", + "issue:39692|issue:44190", + "issue:45127|issue:45357", + "issue:43526|issue:46697", + "issue:44112|issue:45600", + "issue:45381|issue:46655", + "issue:44617|issue:46369", + "issue:44779|issue:46489", + "issue:43295|issue:45276", + "issue:45290|issue:46752", + "issue:43540|issue:44734" + ], + "prepared_review_unit_hash": "c89c35653f4516d6e5a257ae88d4cb70d86109927b812ca5db10a0813f48159e", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35593, + "estimated_input_tokens": 8899, + "estimated_eval_tokens": 18054 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are largely unrelated across different models, processors, generation paths, and configs. The only strong duplicate-like overlap is the DeepSeek tokenizer regression pair, where one report appears to be a broader original bug and the other a narrower follow-up.", + "confidence": 0.74, + "canonical_issue_reason": "issue:44779 is the broader original regression report and best captures the shared DeepSeek tokenizer breakage; issue:46489 reads like a narrower variant/follow-up tied to a specific model family and a gap in an earlier fix.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44779 is the most representative issue here because it states the core regression clearly, is broader than the follow-up, and is the better anchor for the shared tokenizer bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43931", + "right": "issue:44060", + "accept": false, + "reason": "Different models and different failures: weight-shape mismatch on load vs an incorrect tied-weights warning." + }, + { + "left": "issue:43673", + "right": "issue:46421", + "accept": false, + "reason": "Both mention chunked prefill/cache, but one is about a missing GenerationMixin cache and the other about lazy init causing recompilation; too different to treat as the same bug." + }, + { + "left": "issue:43761", + "right": "issue:44242", + "accept": false, + "reason": "Unrelated regressions in different code paths: CLIPVision hidden states vs MoE load-balancing loss." + }, + { + "left": "issue:29870", + "right": "issue:35141", + "accept": false, + "reason": "Different mechanisms and components: BART generate() mask initialization vs token-embedding resize/post_init reinitialization." + }, + { + "left": "issue:44617", + "right": "issue:45584", + "accept": false, + "reason": "Different subsystems and symptoms: Sam3Video OOM vs Whisper empty-transcription failure after token alignment." + }, + { + "left": "issue:45563", + "right": "issue:45584", + "accept": false, + "reason": "A stale warning about num_return_sequences is unrelated to Whisper's empty-transcription crash." + }, + { + "left": "issue:43644", + "right": "issue:44913", + "accept": false, + "reason": "Both are regressions, but one is about non-persistent buffers and the other about GPTNeoX config reload semantics." + }, + { + "left": "issue:44933", + "right": "issue:45362", + "accept": false, + "reason": "Nonexistent import from image_utils is unrelated to a Qwen chat crash." + }, + { + "left": "issue:25251", + "right": "issue:27957", + "accept": false, + "reason": "List/nested-list output behavior from pipeline top_k is unrelated to XLMRoberta Flash Attention 2." + }, + { + "left": "issue:43335", + "right": "issue:44855", + "accept": false, + "reason": "A SwitchTransformers config bug and a Python 3.13 IndentationError are unrelated." + }, + { + "left": "issue:44479", + "right": "issue:44734", + "accept": false, + "reason": "Both involve generation-era regressions, but video-input position handling and serve/KV-cache indexing are different code-path problems." + }, + { + "left": "issue:44077", + "right": "issue:44877", + "accept": false, + "reason": "Optional post_init handling in patchtsmixer is not the same as strict config loading for granite_speech." + }, + { + "left": "issue:43550", + "right": "issue:44190", + "accept": false, + "reason": "torch.compile/SDPA failure in Bamba is unrelated to local dataset loading in the image-classification example." + }, + { + "left": "issue:45381", + "right": "issue:46369", + "accept": false, + "reason": "Both mention multimodal models, but they describe different failures in different model families and code paths." + }, + { + "left": "issue:41720", + "right": "issue:45245", + "accept": false, + "reason": "Auto device mapping on Qwen3 and the 2^24 category limit are unrelated issues." + }, + { + "left": "issue:43335", + "right": "issue:44190", + "accept": false, + "reason": "SwitchTransformers layer construction bug vs dataset-loading example bug: no concrete overlap." + }, + { + "left": "issue:43065", + "right": "issue:44610", + "accept": false, + "reason": "Dummy Conv2d in Sam3PixelDecoder is not the same as OmDet-Turbo's processor/model resolution mismatch." + }, + { + "left": "issue:44464", + "right": "issue:45563", + "accept": false, + "reason": "Compiled-forward chunked generation inconsistency is unrelated to the stale warning for num_return_sequences." + }, + { + "left": "issue:39692", + "right": "issue:44190", + "accept": false, + "reason": "SigLIP2 doc example errors are unrelated to local dataset loading." + }, + { + "left": "issue:45127", + "right": "issue:45357", + "accept": false, + "reason": "LoRA/extended-vocabulary collapse is a different bug from incorrect visual encoder keys in save_pretrained." + }, + { + "left": "issue:43526", + "right": "issue:46697", + "accept": false, + "reason": "Different image-processor bugs: label reduction vs over-padding when already divisible." + }, + { + "left": "issue:44112", + "right": "issue:45600", + "accept": false, + "reason": "CI failures in GraniteSpeech and auto_mappings references are separate maintenance problems." + }, + { + "left": "issue:45381", + "right": "issue:46655", + "accept": false, + "reason": "Both are video-related, but the reported padding/position-id bugs are in different processors and model families." + }, + { + "left": "issue:44617", + "right": "issue:46369", + "accept": false, + "reason": "Sam3Video OOM and sam3-litetext memory overflow are related only at a very broad family level, not the same concrete bug." + }, + { + "left": "issue:44779", + "right": "issue:46489", + "accept": true, + "reason": "Both report the same DeepSeek tokenizer regression in transformers v5+, with 46489 reading like a narrower follow-up about a gap in the earlier fix." + }, + { + "left": "issue:43295", + "right": "issue:45276", + "accept": false, + "reason": "Processor/tokenizer regression after v4.57.5 is unrelated to gemma4 resize_token_embeddings not updating all weights." + }, + { + "left": "issue:45290", + "right": "issue:46752", + "accept": false, + "reason": "Both involve empty/edge-case chat-template handling, but one is a tool-call assistant-message crash and the other is an empty-list IndexError." + }, + { + "left": "issue:43540", + "right": "issue:44734", + "accept": false, + "reason": "Qwen3OmniMoe video-input validation error is different from serve-side KV-cache continuation indexing." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analyst\u2019s summary is well grounded in the packet and stays conservative on the soft-edge pairs. The only accepted match, issue:44779 vs issue:46489, is clearly supported by the titles: both concern the DeepSeek tokenizer regression in v5+, with 46489 explicitly framed as a gap in the earlier fix. The rest of the verdicts are appropriately cautious given the available evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 37, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:25251", + "issue:27957", + "issue:29870", + "issue:32090", + "issue:35141", + "issue:36246", + "issue:38617", + "issue:41628", + "issue:41950", + "issue:42175", + "issue:42796", + "issue:43404", + "issue:43479", + "issue:43531", + "issue:43643", + "issue:43650", + "issue:43854", + "issue:44016", + "issue:44112", + "issue:44186", + "issue:44220", + "issue:44246", + "issue:44279", + "issue:44295", + "issue:44462", + "issue:44496", + "issue:44521", + "issue:44734", + "issue:44737", + "issue:44938", + "issue:44964", + "issue:45003", + "issue:45216", + "issue:45245", + "issue:45276", + "issue:45375", + "issue:45381", + "issue:45542", + "issue:45584", + "issue:45600", + "issue:45632", + "issue:45803", + "issue:45907", + "issue:46082", + "issue:46121", + "issue:46234", + "issue:46506" + ], + "soft_pairs": [ + "issue:44737|issue:45803", + "issue:45276|issue:45584", + "issue:44938|issue:45542", + "issue:44521|issue:45381", + "issue:44462|issue:45907", + "issue:25251|issue:29870", + "issue:45632|issue:46234", + "issue:44246|issue:45003", + "issue:43854|issue:44964", + "issue:44964|issue:45600", + "issue:43643|issue:44496", + "issue:44112|issue:44964", + "issue:27957|issue:35141", + "issue:46082|issue:46121", + "issue:42175|issue:44279", + "issue:45245|issue:45584", + "issue:42796|issue:44521", + "issue:44186|issue:44734", + "issue:36246|issue:41628", + "issue:43404|issue:45216", + "issue:36246|issue:38617", + "issue:43650|issue:44220", + "issue:32090|issue:35141", + "issue:43479|issue:45375", + "issue:44295|issue:46506", + "issue:41950|issue:44016", + "issue:43531|issue:45600" + ], + "prepared_review_unit_hash": "c1fa2ea95f6a9dc32492dde6c6f5191b289d8d1edc7ac103b7657df267292008", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 35374, + "estimated_input_tokens": 8844, + "estimated_eval_tokens": 17944 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: it mixes unrelated import errors, model-loading regressions, tokenizer issues, pipeline bugs, and config problems. None of the proposed soft pairs look like true duplicates or the same concrete fix, so they should stay separate.", + "confidence": 0.94, + "canonical_issue_reason": "No strong canonical duplicate emerges from this mixed set; if forced, issue 41628 is the broadest user-facing import regression, but the cluster is too diverse to justify a true canonical issue.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 41628 is the closest thing to a reusable anchor because it is a top-level import failure with broad impact, but it is still only loosely representative of the overall set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44737", + "right": "issue:45803", + "accept": false, + "reason": "Different subsystems and failure modes: XLNet device placement in forward pass vs Fuyu tensor conversion/bare-except behavior." + }, + { + "left": "issue:45276", + "right": "issue:45584", + "accept": false, + "reason": "Unrelated bugs: gemma4 resize_token_embeddings/state tying vs Whisper empty-transcription generation after align_special_tokens." + }, + { + "left": "issue:44938", + "right": "issue:45542", + "accept": false, + "reason": "Python 3.14 import/load failure is not the same as a missing TensorFlow backend dependency path." + }, + { + "left": "issue:44521", + "right": "issue:45381", + "accept": false, + "reason": "Both are multimodal-related, but the concrete bugs differ: assistant_masks from chat templates vs qwen2.5-vl vision_position_ids." + }, + { + "left": "issue:44462", + "right": "issue:45907", + "accept": false, + "reason": "Different APIs and causes: AutoTokenizer ignoring tokenizer.json vs list_repo_files not forwarding revision." + }, + { + "left": "issue:25251", + "right": "issue:29870", + "accept": false, + "reason": "Pipeline top_k output nesting is unrelated to BART generate() decoder_attention_mask assignment." + }, + { + "left": "issue:45632", + "right": "issue:46234", + "accept": false, + "reason": "trust_remote_code cache collisions and a missing import_utils symbol are separate issues with different fixes." + }, + { + "left": "issue:44246", + "right": "issue:45003", + "accept": false, + "reason": "Import performance and unsafe sys.modules access are not the same bug or code path." + }, + { + "left": "issue:43854", + "right": "issue:44964", + "accept": false, + "reason": "Both are model-loading failures, but for different models and likely different root causes." + }, + { + "left": "issue:44964", + "right": "issue:45600", + "accept": false, + "reason": "Phi-4 multimodal loading and stale auto_mappings references are distinct problems." + }, + { + "left": "issue:43643", + "right": "issue:44496", + "accept": false, + "reason": "AutoConfig field loss under trust_remote_code is different from an unrecognized-model config.json error." + }, + { + "left": "issue:44112", + "right": "issue:44964", + "accept": false, + "reason": "A GraniteSpeech CI test flake is not the same underlying bug as a Phi-4 multimodal load failure." + }, + { + "left": "issue:27957", + "right": "issue:35141", + "accept": false, + "reason": "Flash Attention 2 support in XLMRoberta is unrelated to token embedding reinitialization after resize." + }, + { + "left": "issue:46082", + "right": "issue:46121", + "accept": false, + "reason": "Llama head_dim validation and rope-validation list handling are different config-validation paths." + }, + { + "left": "issue:42175", + "right": "issue:44279", + "accept": false, + "reason": "Package extras/backend composition is not the same as a generic dependency issue." + }, + { + "left": "issue:45245", + "right": "issue:45584", + "accept": false, + "reason": "A category-count runtime limit is unrelated to Whisper's empty-transcription generation bug." + }, + { + "left": "issue:42796", + "right": "issue:44521", + "accept": false, + "reason": "Tokenizer BPE marker handling and multimodal assistant-mask generation are different layers of the stack." + }, + { + "left": "issue:44186", + "right": "issue:44734", + "accept": false, + "reason": "LayoutLMv2 tokenizer padding/NER crashes and serve KV-cache tensor indexing are unrelated code paths." + }, + { + "left": "issue:36246", + "right": "issue:41628", + "accept": false, + "reason": "Both are import errors, but one is a missing model-specific processor export and the other is a top-level AutoImageProcessor import." + }, + { + "left": "issue:43404", + "right": "issue:45216", + "accept": false, + "reason": "Weight tying in Mistral3 is a different bug than the Qwen3.5 save_pretrained regression." + }, + { + "left": "issue:36246", + "right": "issue:38617", + "accept": false, + "reason": "These are separate missing-symbol import errors in different modules with no shared concrete fix." + }, + { + "left": "issue:43650", + "right": "issue:44220", + "accept": false, + "reason": "'ADD THE DATA' is not a technical duplicate of the fbank feature extraction bug." + }, + { + "left": "issue:32090", + "right": "issue:35141", + "accept": false, + "reason": "Trainer broadcast of NoneType and embedding reinitialization after resize are unrelated bugs." + }, + { + "left": "issue:43479", + "right": "issue:45375", + "accept": false, + "reason": "Different multimodal config bugs for different models; not the same underlying change." + }, + { + "left": "issue:44295", + "right": "issue:46506", + "accept": false, + "reason": "Reading a registered position_ids buffer is unrelated to CPU/CUDA output divergence." + }, + { + "left": "issue:41950", + "right": "issue:44016", + "accept": false, + "reason": "A video-classification processor lookup bug is unrelated to a notebook syntax error." + }, + { + "left": "issue:43531", + "right": "issue:45600", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and stale auto_mappings config references are distinct issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 38, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:39692", + "issue:42907", + "issue:43295", + "issue:43299", + "issue:43381", + "issue:43441", + "issue:43526", + "issue:43577", + "issue:43673", + "issue:43824", + "issue:43901", + "issue:43976", + "issue:44016", + "issue:44062", + "issue:44075", + "issue:44220", + "issue:44279", + "issue:44327", + "issue:44336", + "issue:44368", + "issue:44496", + "issue:44521", + "issue:44683", + "issue:44779", + "issue:44792", + "issue:44933", + "issue:44987", + "issue:45042", + "issue:45083", + "issue:45216", + "issue:45335", + "issue:45405", + "issue:45446", + "issue:45584", + "issue:45588", + "issue:45593", + "issue:45759", + "issue:46082", + "issue:46123", + "issue:46369", + "issue:46399", + "issue:46424", + "issue:46506", + "issue:46512", + "issue:46515", + "issue:46693", + "issue:46752" + ], + "soft_pairs": [ + "issue:43673|issue:46424", + "issue:44016|issue:44220", + "issue:43976|issue:44987", + "issue:43295|issue:45335", + "issue:44683|issue:45446", + "issue:45083|issue:46506", + "issue:43526|issue:43901", + "issue:43381|issue:45593", + "issue:43901|issue:44496", + "issue:42907|issue:43441", + "issue:44496|issue:45042", + "issue:43673|issue:44336", + "issue:43976|issue:44279", + "issue:44496|issue:45759", + "issue:43441|issue:45588", + "issue:44016|issue:44062", + "issue:44792|issue:46424", + "issue:43824|issue:44933", + "issue:44327|issue:46752", + "issue:46123|issue:46369", + "issue:43299|issue:45216", + "issue:44521|issue:46693", + "issue:44279|issue:46515", + "issue:45335|issue:45584", + "issue:46082|issue:46399", + "issue:44279|issue:45405", + "issue:43295|issue:44779", + "issue:39692|issue:43901", + "issue:43577|issue:45216", + "issue:44075|issue:44368", + "issue:43976|issue:45405", + "issue:46082|issue:46512" + ], + "prepared_review_unit_hash": "06b50363051e3a65a1680e5e28a4b50cf4971e9744964bd28ca2e0fda3c570f6", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 36742, + "estimated_input_tokens": 9186, + "estimated_eval_tokens": 18628 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of mostly unrelated Transformers bug reports, with no PRs present and no true duplicate pair among the soft candidates. The strongest representative issue is the open multimodal `apply_chat_template` bug (#44521), but it is not duplicated by the others.", + "confidence": 0.91, + "canonical_issue_reason": "#44521 is the best representative issue: it is open, concrete, has multiple inbound references, and describes a reproducible multimodal `apply_chat_template` failure.", + "canonical_pr_reason": null, + "best_issue_reason": "#44521 is the strongest issue to keep as the cluster representative because it has the clearest user impact and the most evidence, while the rest are largely one-off unrelated regressions or docs issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43673", + "right": "issue:46424", + "accept": false, + "reason": "Both mention cache, but one is a missing GenerationMixin cache in chunked prefill and the other is a cache-length config limitation for quantized cache; different bugs." + }, + { + "left": "issue:44016", + "right": "issue:44220", + "accept": false, + "reason": "A notebook syntax error and a fbank feature-extraction issue are unrelated." + }, + { + "left": "issue:43976", + "right": "issue:44987", + "accept": false, + "reason": "Python version compatibility and a model-loading failure are different problem reports." + }, + { + "left": "issue:43295", + "right": "issue:45335", + "accept": false, + "reason": "Processor/tokenizer regression vs. `resize_token_embeddings` not updating decoder embeddings; different code paths and symptoms." + }, + { + "left": "issue:44683", + "right": "issue:45446", + "accept": false, + "reason": "One is a compiled flex_attention failure on torch>=2.9; the other is a bad version check for AuxRequest import. Related area, but not the same bug." + }, + { + "left": "issue:45083", + "right": "issue:46506", + "accept": false, + "reason": "A helper output-length bug in qwen3_omni_moe is unrelated to CPU/CUDA result differences in PPDocLayoutV3." + }, + { + "left": "issue:43526", + "right": "issue:43901", + "accept": false, + "reason": "Image-processor label reduction and pipeline documentation drift are unrelated." + }, + { + "left": "issue:43381", + "right": "issue:45593", + "accept": false, + "reason": "Gradient checkpointing in eval mode and D-FINE auxiliary-loss behavior are different issues." + }, + { + "left": "issue:43901", + "right": "issue:44496", + "accept": false, + "reason": "Docs mentioning `return_all_scores` is unrelated to an unrecognized model/config loading error." + }, + { + "left": "issue:42907", + "right": "issue:43441", + "accept": false, + "reason": "Dequantized save-pretrained failure and Ministral flash-attention loading failure are different model lifecycle bugs." + }, + { + "left": "issue:44496", + "right": "issue:45042", + "accept": false, + "reason": "Model config recognition and unnecessary torchvision dependency in image processors are unrelated." + }, + { + "left": "issue:43673", + "right": "issue:44336", + "accept": false, + "reason": "Cache behavior and ANSI codes in loading_report are unrelated." + }, + { + "left": "issue:43976", + "right": "issue:44279", + "accept": false, + "reason": "Python support mismatch and a generic dependency issue are not the same underlying bug." + }, + { + "left": "issue:44496", + "right": "issue:45759", + "accept": false, + "reason": "Unrecognized model vs. `from_config` not unwrapping `text_config` are different multimodal config-loading problems." + }, + { + "left": "issue:43441", + "right": "issue:45588", + "accept": false, + "reason": "Both mention flash attention, but one is a Ministral model-loading crash and the other is an `s_aux=None` AttributeError in `integrations/flash_attention.py`; not the same bug." + }, + { + "left": "issue:44016", + "right": "issue:44062", + "accept": false, + "reason": "Notebook syntax error and `AddedToken` keyword collision are unrelated." + }, + { + "left": "issue:44792", + "right": "issue:46424", + "accept": false, + "reason": "A Janus image-generation test failure is unrelated to cache-length handling." + }, + { + "left": "issue:43824", + "right": "issue:44933", + "accept": false, + "reason": "These are two different missing-import problems involving different symbols and modules." + }, + { + "left": "issue:44327", + "right": "issue:46752", + "accept": false, + "reason": "QA span decoding kth-out-of-bounds and empty-list chat-template crashes are different edge cases." + }, + { + "left": "issue:46123", + "right": "issue:46369", + "accept": false, + "reason": "Partial-batch result dropping in MaskGenerationPipeline is unrelated to SAM memory overflow." + }, + { + "left": "issue:43299", + "right": "issue:45216", + "accept": false, + "reason": "One breaks model loading in v5 dev, the other corrupts saved checkpoints in 5.4.0; different operations and failures." + }, + { + "left": "issue:44521", + "right": "issue:46693", + "accept": false, + "reason": "All-zero assistant masks and FA2 long-context performance regression are unrelated." + }, + { + "left": "issue:44279", + "right": "issue:46515", + "accept": false, + "reason": "A dependency issue with transformers is not the same as a torch-version incompatibility." + }, + { + "left": "issue:45335", + "right": "issue:45584", + "accept": false, + "reason": "`resize_token_embeddings` not affecting decoder embeddings and Whisper empty-transcription generation failure are unrelated." + }, + { + "left": "issue:46082", + "right": "issue:46399", + "accept": false, + "reason": "LlamaConfig head_dim validation and Qwen rotary registration failure are different model/config bugs." + }, + { + "left": "issue:44279", + "right": "issue:45405", + "accept": false, + "reason": "Generic dependency trouble and a bumped unreleased PEFT minimum version are different issues." + }, + { + "left": "issue:43295", + "right": "issue:44779", + "accept": false, + "reason": "Both involve tokenizer behavior regressions, but one is processor/tokenizer multimodal handling and the other is DeepSeek tokenization correctness; not clearly the same bug." + }, + { + "left": "issue:39692", + "right": "issue:43901", + "accept": false, + "reason": "A broken SigLIP2 example and a pipeline docs deprecation note are unrelated documentation issues." + }, + { + "left": "issue:43577", + "right": "issue:45216", + "accept": false, + "reason": "BLIP2 dtype propagation and Qwen3.5 checkpoint saving are different dtype/save_pretrained bugs." + }, + { + "left": "issue:44075", + "right": "issue:44368", + "accept": false, + "reason": "SGD optimizer args not being used and a tie_word_embeddings warning are unrelated." + }, + { + "left": "issue:43976", + "right": "issue:45405", + "accept": false, + "reason": "Python compatibility and unreleased PEFT minimum version are unrelated dependency/version problems." + }, + { + "left": "issue:46082", + "right": "issue:46512", + "accept": false, + "reason": "Llama head_dim validation and stale `model.config.dtype` after `from_config(dtype=...)` are different config bugs." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 39, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:33290", + "issue:41950", + "issue:42175", + "issue:42796", + "issue:42994", + "issue:43299", + "issue:43317", + "issue:43441", + "issue:43479", + "issue:43525", + "issue:43650", + "issue:43653", + "issue:43854", + "issue:43976", + "issue:44016", + "issue:44242", + "issue:44261", + "issue:44263", + "issue:44291", + "issue:44351", + "issue:44361", + "issue:44462", + "issue:44466", + "issue:44623", + "issue:44671", + "issue:44683", + "issue:44749", + "issue:44779", + "issue:45020", + "issue:45081", + "issue:45103", + "issue:45200", + "issue:45276", + "issue:45278", + "issue:45357", + "issue:45372", + "issue:45397", + "issue:45542", + "issue:45593", + "issue:45600", + "issue:45656", + "issue:45712", + "issue:45812", + "issue:45823", + "issue:45834", + "issue:45907", + "issue:46209" + ], + "soft_pairs": [ + "issue:44351|issue:45278", + "issue:41950|issue:45020", + "issue:42796|issue:43650", + "issue:43299|issue:45357", + "issue:44779|issue:45812", + "issue:44242|issue:45200", + "issue:43479|issue:43525", + "issue:44466|issue:45276", + "issue:43299|issue:43854", + "issue:41950|issue:45823", + "issue:43653|issue:45593", + "issue:44683|issue:45542", + "issue:43650|issue:46209", + "issue:44016|issue:44291", + "issue:44462|issue:45081", + "issue:44361|issue:45593", + "issue:43441|issue:45834", + "issue:45103|issue:45372", + "issue:42994|issue:43317", + "issue:33290|issue:45656", + "issue:45081|issue:45907", + "issue:45600|issue:45712", + "issue:44623|issue:44749", + "issue:44261|issue:44263", + "issue:42175|issue:43976", + "issue:44671|issue:44779", + "issue:44623|issue:45397" + ], + "prepared_review_unit_hash": "041cd0714adb9580e682f5dd5b4f5d0a081e6c1688f81965821ef74d957cad26", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 35160, + "estimated_input_tokens": 8790, + "estimated_eval_tokens": 17836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft pairs mostly share a broad subsystem or version context, but the underlying bugs are different. I would not merge any of the proposed pairs as duplicates, and there is no clear canonical issue/PR for the whole set.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single issue is a good canonical representative here; the items span unrelated regressions across tokenizers, model loading, configs, deepspeed, and packaging, so selecting one would be misleading.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44351", + "right": "issue:45278", + "accept": false, + "reason": "Both involve import failures after a version bump, but one is a specific missing `HybridCache` import while the other is broad import breakage after upgrading; different failure modes and likely different fixes." + }, + { + "left": "issue:41950", + "right": "issue:45020", + "accept": false, + "reason": "Video-classification processor lookup and remote-code model breakage are distinct issues; they only overlap at the level of recent-version regressions." + }, + { + "left": "issue:42796", + "right": "issue:43650", + "accept": false, + "reason": "Tokenizer BPE-marker handling and a vague 'ADD THE DATA' issue are unrelated." + }, + { + "left": "issue:43299", + "right": "issue:45357", + "accept": false, + "reason": "Qwen3VL MoE model loading and Qwen3.5 visual encoder save_pretrained key serialization are different code paths (load vs save) and different bugs." + }, + { + "left": "issue:44779", + "right": "issue:45812", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different model families and different symptoms (Deepseek tokenization vs Granite AutoTokenizer IDs)." + }, + { + "left": "issue:44242", + "right": "issue:45200", + "accept": false, + "reason": "Load-balancing loss gating in MoE and Gemma 4 mm_token_type_ids defaults are unrelated model-training issues." + }, + { + "left": "issue:43479", + "right": "issue:43525", + "accept": false, + "reason": "Different configs and different defects: default multimodal sub-config initialization vs missing `pad_token_id` attribute." + }, + { + "left": "issue:44466", + "right": "issue:45276", + "accept": false, + "reason": "One is inconsistent serialization of tied weights by device; the other is embedding resize not propagating to outputs. Related theme, but not the same bug." + }, + { + "left": "issue:43299", + "right": "issue:43854", + "accept": false, + "reason": "Model loading failures, but one is Qwen3VL MoE breakage and the other is a GLM-4.7-Flash unit-test load issue; too different to dedupe." + }, + { + "left": "issue:41950", + "right": "issue:45823", + "accept": false, + "reason": "Both mention model/pipeline regressions, but one is processor selection for video classification and the other is Gemma4 PLE device mismatch in forward." + }, + { + "left": "issue:43653", + "right": "issue:45593", + "accept": false, + "reason": "BigBird tokenizer special-token registration and D-FINE auxiliary-loss logic are unrelated." + }, + { + "left": "issue:44683", + "right": "issue:45542", + "accept": false, + "reason": "Compiled flex_attention on torch>=2.9 and TensorFlow backend detection when only tensorboard is installed are completely separate failures." + }, + { + "left": "issue:43650", + "right": "issue:46209", + "accept": false, + "reason": "A placeholder 'ADD THE DATA' issue is not comparable to an FP8 inference failure on B200." + }, + { + "left": "issue:44016", + "right": "issue:44291", + "accept": false, + "reason": "Notebook syntax error and `init_empty_weights` TypeError due to `_is_hf_initialized` are unrelated." + }, + { + "left": "issue:44462", + "right": "issue:45081", + "accept": false, + "reason": "AutoTokenizer ignoring repository tokenizer.json and `_patch_mistral_regex` crashing on backend_tokenizer are different tokenizer-loading bugs." + }, + { + "left": "issue:44361", + "right": "issue:45593", + "accept": false, + "reason": "MLukeTokenizer AttributeError on tasks versus D-FINE auxiliary-loss behavior are unrelated." + }, + { + "left": "issue:43441", + "right": "issue:45834", + "accept": false, + "reason": "FlashAttention failure for Ministral and OCR index errors in Kosmos2.5 are different model-specific bugs." + }, + { + "left": "issue:45103", + "right": "issue:45372", + "accept": false, + "reason": "Auto-docstring future-annotations crash and Gemma 4 processor loading import error are separate utilities/code-path issues." + }, + { + "left": "issue:42994", + "right": "issue:43317", + "accept": false, + "reason": "Quantized save_pretrained failure and dequantized model loading with device_map=auto/offload are different quantization-related paths." + }, + { + "left": "issue:33290", + "right": "issue:45656", + "accept": false, + "reason": "Both mention deepspeed/optimizer behavior, but one is OOM with Adafactor and the other is optimizer.step being invoked twice; not the same bug." + }, + { + "left": "issue:45081", + "right": "issue:45907", + "accept": false, + "reason": "Mistral tokenizer regex patch crash and list_repo_files missing `revision` forwarding are unrelated." + }, + { + "left": "issue:45600", + "right": "issue:45712", + "accept": false, + "reason": "Broken auto_mappings references to removed configs and leftover dummy classes in `dummy_pt_objects.py` are distinct repository-maintenance issues." + }, + { + "left": "issue:44623", + "right": "issue:44749", + "accept": false, + "reason": "processor.save_pretrained missing files and a Chinese report about post-upgrade filtering slowdown do not describe the same defect." + }, + { + "left": "issue:44261", + "right": "issue:44263", + "accept": false, + "reason": "MLA layernorm epsilon handling and GlmMoeDsaIndexer split return values are different GLM-related bugs." + }, + { + "left": "issue:42175", + "right": "issue:43976", + "accept": false, + "reason": "TensorFlow backend missing under `pip install '.[torch]'` and Python 3.9/3.10 compatibility in Transformers 5.1.0 are separate packaging/runtime issues." + }, + { + "left": "issue:44671", + "right": "issue:44779", + "accept": false, + "reason": "CamemBERT masked-LM regression and Deepseek tokenizer regression are both tokenizer/model-output problems, but on different models and code paths." + }, + { + "left": "issue:44623", + "right": "issue:45397", + "accept": false, + "reason": "Missing files in `processor.save_pretrained(...)` and Gemma-4 ZeRO3 `from_pretrained` are unrelated save/load issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 40, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:41628", + "issue:42491", + "issue:43299", + "issue:43441", + "issue:43525", + "issue:43526", + "issue:43531", + "issue:43540", + "issue:43643", + "issue:43673", + "issue:43723", + "issue:43761", + "issue:43784", + "issue:43824", + "issue:43881", + "issue:43901", + "issue:43976", + "issue:44016", + "issue:44162", + "issue:44188", + "issue:44242", + "issue:44246", + "issue:44295", + "issue:44297", + "issue:44336", + "issue:44373", + "issue:44485", + "issue:44496", + "issue:44589", + "issue:44683", + "issue:44871", + "issue:45003", + "issue:45103", + "issue:45362", + "issue:45397", + "issue:45542", + "issue:45561", + "issue:45563", + "issue:45593", + "issue:45800", + "issue:45823", + "issue:46291", + "issue:46399", + "issue:46614", + "issue:46655", + "issue:46665", + "issue:46726", + "issue:46752" + ], + "soft_pairs": [ + "issue:43901|issue:44246", + "issue:43441|issue:44683", + "issue:43723|issue:44162", + "issue:45542|issue:45800", + "issue:43673|issue:43761", + "issue:43824|issue:43976", + "issue:43525|issue:43881", + "issue:44016|issue:45823", + "issue:46291|issue:46399", + "issue:43525|issue:43643", + "issue:44589|issue:45362", + "issue:44188|issue:44336", + "issue:46655|issue:46726", + "issue:44336|issue:44373", + "issue:41628|issue:43976", + "issue:44246|issue:44496", + "issue:43784|issue:45542", + "issue:44297|issue:45397", + "issue:45561|issue:45563", + "issue:46614|issue:46665", + "issue:45103|issue:46399", + "issue:43526|issue:45003", + "issue:44242|issue:45593", + "issue:42491|issue:43299", + "issue:43531|issue:45362", + "issue:43540|issue:46752", + "issue:44246|issue:44871", + "issue:44295|issue:45397", + "issue:44336|issue:44485" + ], + "prepared_review_unit_hash": "e59b6b5580b7e1ee5d60f28da575eca1c412ac4100002acbb9e486f3bb349c24", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36284, + "estimated_input_tokens": 9071, + "estimated_eval_tokens": 18398 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose collection of unrelated Transformers regressions and model-specific bugs. I found one plausible duplicate pair around `trust_remote_code=True` / missing config fields; the rest look distinct and should stay separate.", + "confidence": 0.49, + "canonical_issue_reason": "issue:43643 is the broadest/root report: it describes the generic `AutoConfig.from_pretrained(..., trust_remote_code=True)` missing-fields regression, which can subsume the more specific `Llama4Config.pad_token_id` failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43643 is the best representative because it states the underlying API regression in a general way and is more reusable for triage than the model-specific symptom in issue:43525.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43901", + "right": "issue:44246", + "accept": false, + "reason": "Docs/behavior mismatch for text classification is unrelated to intermittent import slowness." + }, + { + "left": "issue:43441", + "right": "issue:44683", + "accept": false, + "reason": "Both mention attention kernels, but they are different failures with different triggers: Ministral FlashAttention vs compiled flex_attention on newer torch." + }, + { + "left": "issue:43723", + "right": "issue:44162", + "accept": false, + "reason": "Different APIs and symptoms: tokenizer loading regression vs ESM2 model breakage." + }, + { + "left": "issue:45542", + "right": "issue:45800", + "accept": false, + "reason": "One is a TensorBoard/TF backend issue; the other is a torch/transformers version incompatibility." + }, + { + "left": "issue:43673", + "right": "issue:43761", + "accept": false, + "reason": "Chunked-prefill cache regression and CLIP hidden-states handling are separate code paths." + }, + { + "left": "issue:43824", + "right": "issue:43976", + "accept": false, + "reason": "Specific model import error vs Python-version compatibility problem; not the same bug." + }, + { + "left": "issue:43525", + "right": "issue:43881", + "accept": false, + "reason": "Both are model loading failures, but they involve different models and different failure modes." + }, + { + "left": "issue:44016", + "right": "issue:45823", + "accept": false, + "reason": "Notebook syntax error is unrelated to Gemma4 device placement during forward." + }, + { + "left": "issue:46291", + "right": "issue:46399", + "accept": false, + "reason": "Both touch kernels, but one is a pipelines import dependency issue and the other is a Qwen3.5 registration crash." + }, + { + "left": "issue:43525", + "right": "issue:43643", + "accept": true, + "reason": "Same underlying config-field regression: `trust_remote_code` returns an object missing expected fields, and `pad_token_id` on Llama4Config is a concrete manifestation of that bug." + }, + { + "left": "issue:44589", + "right": "issue:45362", + "accept": false, + "reason": "Float8 storage lookup error is unrelated to a Qwen3.5 chat crash." + }, + { + "left": "issue:44188", + "right": "issue:44336", + "accept": false, + "reason": "Attention-kernel divergence and ANSI escape output are unrelated." + }, + { + "left": "issue:46655", + "right": "issue:46726", + "accept": false, + "reason": "Different vision-processing failures: padding math vs missing vision backend/image-processor recognition." + }, + { + "left": "issue:44336", + "right": "issue:44373", + "accept": false, + "reason": "Terminal coloring bug and docstring issue are not the same underlying problem." + }, + { + "left": "issue:41628", + "right": "issue:43976", + "accept": false, + "reason": "ImportError for AutoImageProcessor is unrelated to the Python version regression." + }, + { + "left": "issue:44246", + "right": "issue:44496", + "accept": false, + "reason": "Import latency and unrecognized-model loading failure are separate issues." + }, + { + "left": "issue:43784", + "right": "issue:45542", + "accept": false, + "reason": "Different undefined-backend/import problems in different packages." + }, + { + "left": "issue:44297", + "right": "issue:45397", + "accept": false, + "reason": "Tokenizer config serialization mismatch is unrelated to Gemma-4 zero3 loading." + }, + { + "left": "issue:45561", + "right": "issue:45563", + "accept": false, + "reason": "A pytest-xdist file race is unrelated to a stale generation warning." + }, + { + "left": "issue:46614", + "right": "issue:46665", + "accept": false, + "reason": "Stale phonemizer language caching and from_pretrained behavior inside Python classes are different bugs." + }, + { + "left": "issue:45103", + "right": "issue:46399", + "accept": false, + "reason": "auto_docstring annotation parsing crash is unrelated to the Qwen3.5 kernels registration failure." + }, + { + "left": "issue:43526", + "right": "issue:45003", + "accept": false, + "reason": "BeitImageProcessorFast label reduction and sys.modules access in modeling_utils do not share the same bug." + }, + { + "left": "issue:44242", + "right": "issue:45593", + "accept": false, + "reason": "Both are missing-loss complaints, but they affect different models and different loss mechanisms." + }, + { + "left": "issue:42491", + "right": "issue:43299", + "accept": false, + "reason": "Both involve Qwen3 MoE models on v5, but one is LoRA compatibility and the other is base model loading; not enough evidence for the same concrete bug." + }, + { + "left": "issue:43531", + "right": "issue:45362", + "accept": false, + "reason": "Sliding-window handling and Qwen3.5 chat crashes are separate failures." + }, + { + "left": "issue:43540", + "right": "issue:46752", + "accept": false, + "reason": "Video-input processing in Qwen3OmniMoe is unrelated to empty-list chat template handling." + }, + { + "left": "issue:44246", + "right": "issue:44871", + "accept": false, + "reason": "Import slowness and eos_token_id configuration inconsistency are unrelated." + }, + { + "left": "issue:44295", + "right": "issue:45397", + "accept": false, + "reason": "Position_ids buffer access and Gemma-4 zero3 loading are different issues." + }, + { + "left": "issue:44336", + "right": "issue:44485", + "accept": false, + "reason": "ANSI output cleanup and GLM-5 RoPE implementation are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The lone accepted pair, issue:43525 vs issue:43643, is a reasonable plausible duplicate based on the titles (specific missing `pad_token_id` symptom vs generic `trust_remote_code=True` missing-fields regression). The rest of the soft-edge rejections are appropriately cautious and not overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 41, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:36246", + "issue:41950", + "issue:42757", + "issue:42886", + "issue:43257", + "issue:43262", + "issue:43295", + "issue:43475", + "issue:43540", + "issue:43550", + "issue:43596", + "issue:43673", + "issue:43901", + "issue:44162", + "issue:44220", + "issue:44242", + "issue:44246", + "issue:44295", + "issue:44336", + "issue:44351", + "issue:44451", + "issue:44466", + "issue:44479", + "issue:44496", + "issue:44561", + "issue:44734", + "issue:44749", + "issue:44779", + "issue:44857", + "issue:44877", + "issue:45003", + "issue:45137", + "issue:45200", + "issue:45292", + "issue:45335", + "issue:45375", + "issue:45561", + "issue:45584", + "issue:45600", + "issue:45759", + "issue:45859", + "issue:46132", + "issue:46369", + "issue:46399", + "issue:46424", + "issue:46506", + "issue:46655", + "issue:46752" + ], + "soft_pairs": [ + "issue:44451|issue:46752", + "issue:44336|issue:46424", + "issue:42886|issue:46132", + "issue:43550|issue:46506", + "issue:44779|issue:45292", + "issue:41950|issue:44220", + "issue:36246|issue:42757", + "issue:43901|issue:45003", + "issue:36246|issue:44351", + "issue:43257|issue:45137", + "issue:45003|issue:45561", + "issue:44734|issue:46424", + "issue:44496|issue:45003", + "issue:43540|issue:46655", + "issue:43673|issue:44561", + "issue:44162|issue:45200", + "issue:44242|issue:44857", + "issue:43262|issue:44246", + "issue:45375|issue:45759", + "issue:45859|issue:46399", + "issue:44479|issue:46655", + "issue:43475|issue:46369", + "issue:44295|issue:44749", + "issue:36246|issue:43596", + "issue:45137|issue:45600", + "issue:44877|issue:45375", + "issue:45292|issue:45584", + "issue:43295|issue:45292", + "issue:44561|issue:46399", + "issue:44466|issue:45335" + ], + "prepared_review_unit_hash": "b1cc90b7d59c5edcfee4157678064b3d729b3e817b6d6c02ad95f0f7dbeb46e1", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36740, + "estimated_input_tokens": 9185, + "estimated_eval_tokens": 18626 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous set of unrelated bugs/regressions. A few loose multimodal/video and import/export themes appear, but the soft pairs do not look like true duplicates under a strict triage standard.", + "confidence": 0.66, + "canonical_issue_reason": "issue:44479 is the clearest broad regression report in the set: it names a concrete version break, a concrete subsystem (video input processing), and multiple affected Qwen variants, making it the best representative issue among otherwise scattered reports.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44479 is the most actionable and representative issue here; it is specific enough to anchor a cluster around video-input regressions, even though the rest of the items do not collapse cleanly into the same bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44451", + "right": "issue:46752", + "accept": false, + "reason": "Different failure modes: model loading for ScandiBERT versus apply_chat_template on an empty list." + }, + { + "left": "issue:44336", + "right": "issue:46424", + "accept": false, + "reason": "ANSI/output formatting in loading_report is unrelated to cache max-length behavior." + }, + { + "left": "issue:42886", + "right": "issue:46132", + "accept": false, + "reason": "Offline tokenizer cache loading and AttentionInterface registration semantics are separate problems." + }, + { + "left": "issue:43550", + "right": "issue:46506", + "accept": false, + "reason": "torch.compile/SDPA crash in Bamba is unrelated to CPU-vs-CUDA result drift in PPDocLayoutV3." + }, + { + "left": "issue:44779", + "right": "issue:45292", + "accept": false, + "reason": "Tokenizer regression and resize_token_embeddings propagation bug are different code paths." + }, + { + "left": "issue:41950", + "right": "issue:44220", + "accept": false, + "reason": "video-classification processor lookup and fbank feature extraction are distinct pipeline bugs." + }, + { + "left": "issue:36246", + "right": "issue:42757", + "accept": false, + "reason": "Missing Qwen2_5_VLImageProcessor import and missing is_offline_mode import are unrelated import errors." + }, + { + "left": "issue:43901", + "right": "issue:45003", + "accept": false, + "reason": "Docs mismatch for return_all_scores does not match unsafe sys.modules access in modeling_utils." + }, + { + "left": "issue:36246", + "right": "issue:44351", + "accept": false, + "reason": "Different missing symbols in different areas of transformers; not the same underlying bug." + }, + { + "left": "issue:43257", + "right": "issue:45137", + "accept": false, + "reason": "Qwen3 MOE weight conversion and DeepSpeed ZeRO3 deque/index errors are unrelated." + }, + { + "left": "issue:45003", + "right": "issue:45561", + "accept": false, + "reason": "Unsafe sys.modules access and pytest-xdist file race are separate issues." + }, + { + "left": "issue:44734", + "right": "issue:46424", + "accept": false, + "reason": "KV-cache continuation tensor indexing and max_cache_length semantics are different cache bugs." + }, + { + "left": "issue:44496", + "right": "issue:45003", + "accept": false, + "reason": "Unrecognized model config loading and sys.modules access are unrelated." + }, + { + "left": "issue:43540", + "right": "issue:46655", + "accept": false, + "reason": "Both involve video input, but the affected models and failure mechanisms differ too much to treat as one bug." + }, + { + "left": "issue:43673", + "right": "issue:44561", + "accept": false, + "reason": "Chunked-prefill cache behavior and removal of is_torch_fx_available are unrelated." + }, + { + "left": "issue:44162", + "right": "issue:45200", + "accept": false, + "reason": "ESM2 breakage and Gemma 4 mm_token_type_ids defaulting are separate model-specific bugs." + }, + { + "left": "issue:44242", + "right": "issue:44857", + "accept": false, + "reason": "Router-logit loss omission and AMP/CUDA crash in LwDetrImageLoss are different issues." + }, + { + "left": "issue:43262", + "right": "issue:44246", + "accept": false, + "reason": "Audio chat-template sampling-rate default and import-time slowness are unrelated." + }, + { + "left": "issue:45375", + "right": "issue:45759", + "accept": false, + "reason": "Both touch Qwen multimodal config handling, but one is a missing field and the other is text_config unwrapping; not the same bug." + }, + { + "left": "issue:45859", + "right": "issue:46399", + "accept": false, + "reason": "CPU offload incompatibility and missing-decorator registration failure are separate Qwen3.5 issues." + }, + { + "left": "issue:44479", + "right": "issue:46655", + "accept": false, + "reason": "Both are video regressions, but the titles point to different model families and different concrete defects; not safe to merge." + }, + { + "left": "issue:43475", + "right": "issue:46369", + "accept": false, + "reason": "SAM3VisionEncoderOutput attribute absence and sam3-litetext memory overflow are unrelated." + }, + { + "left": "issue:44295", + "right": "issue:44749", + "accept": false, + "reason": "Position_ids buffer access error and a broad slowdown report after upgrade are not the same bug." + }, + { + "left": "issue:45292", + "right": "issue:45584", + "accept": false, + "reason": "Embedding resize propagation and Whisper empty-transcription failure after align_special_tokens are unrelated." + }, + { + "left": "issue:43295", + "right": "issue:45292", + "accept": false, + "reason": "processor.tokenizer/image-handling regression is different from resize_token_embeddings not updating output embeddings." + }, + { + "left": "issue:44561", + "right": "issue:46399", + "accept": false, + "reason": "Removal of is_torch_fx_available and apply_rotary_pos_emb registration issues are unrelated." + }, + { + "left": "issue:44466", + "right": "issue:45335", + "accept": false, + "reason": "Device-dependent lm_head serialization and decoder.embed_tokens resize propagation are separate bugs." + }, + { + "left": "issue:44877", + "right": "issue:45375", + "accept": false, + "reason": "Strict granite_speech config loading and missing deepstack_visual_indexes in Qwen config are unrelated config issues." + }, + { + "left": "issue:45137", + "right": "issue:45600", + "accept": false, + "reason": "ZeRO3 deque errors and auto_mappings references to removed Sam3LiteText configs do not match." + }, + { + "left": "issue:36246", + "right": "issue:43596", + "accept": false, + "reason": "Qwen2_5_VL import error and DeepSpeed/BertModel index error are unrelated." + }, + { + "left": "issue:44295", + "right": "issue:44749", + "accept": false, + "reason": "Position_ids buffer access error and upgrade slowdown report are not the same underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 42, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:29870", + "issue:30333", + "issue:42886", + "issue:43065", + "issue:43352", + "issue:43408", + "issue:43475", + "issue:43540", + "issue:43653", + "issue:43723", + "issue:43906", + "issue:43931", + "issue:44038", + "issue:44060", + "issue:44077", + "issue:44162", + "issue:44188", + "issue:44361", + "issue:44368", + "issue:44479", + "issue:44483", + "issue:44623", + "issue:44749", + "issue:44877", + "issue:44977", + "issue:44987", + "issue:44995", + "issue:45200", + "issue:45229", + "issue:45250", + "issue:45397", + "issue:45412", + "issue:45459", + "issue:45563", + "issue:45584", + "issue:45588", + "issue:45656", + "issue:45685", + "issue:45987", + "issue:46082", + "issue:46123", + "issue:46170", + "issue:46202", + "issue:46421", + "issue:46431", + "issue:46506", + "issue:46710", + "issue:46726" + ], + "soft_pairs": [ + "issue:44623|issue:46726", + "issue:44038|issue:46506", + "issue:29870|issue:30333", + "issue:44479|issue:46170", + "issue:44987|issue:45459", + "issue:43352|issue:45250", + "issue:45412|issue:46123", + "issue:44060|issue:44077", + "issue:44368|issue:44977", + "issue:43653|issue:44162", + "issue:44877|issue:46170", + "issue:44995|issue:45200", + "issue:43475|issue:43540", + "issue:42886|issue:45229", + "issue:45397|issue:45656", + "issue:43065|issue:43408", + "issue:43931|issue:44368", + "issue:44995|issue:45588", + "issue:44368|issue:45563", + "issue:43723|issue:46710", + "issue:45987|issue:46082", + "issue:44188|issue:46202", + "issue:44483|issue:46202", + "issue:43906|issue:46202", + "issue:45685|issue:46431", + "issue:44188|issue:46421", + "issue:45584|issue:46170", + "issue:43065|issue:46123", + "issue:44361|issue:44749" + ], + "prepared_review_unit_hash": "d9e0f4512806a10d6d5e70ad7699a8197804e8e5a7d6850a7a17656ad8de32a1", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36378, + "estimated_input_tokens": 9095, + "estimated_eval_tokens": 18446 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The soft-paired items are mostly unrelated regressions across different models/subsystems, so there are no clear duplicate merges here. I\u2019d use a broad, well-scoped regression report as the issue representative, but none of the pairs should be accepted.", + "confidence": 0.38, + "canonical_issue_reason": "Issue 44479 is the strongest standalone report here: it describes a concrete version-specific video regression, has broad impact across multiple Qwen model variants, and is more actionable than the narrower or unrelated reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44479 is the best issue candidate because it is specific, reproducible, and clearly tied to a user-visible regression with multiple affected models.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44623", + "right": "issue:46726", + "accept": false, + "reason": "Different failures: missing saved processor files vs missing vision backend / unrecognized image processor. Not the same bug." + }, + { + "left": "issue:44038", + "right": "issue:46506", + "accept": false, + "reason": "Different model-specific bug vs CPU/CUDA output divergence. Same broad area, but not the same underlying defect." + }, + { + "left": "issue:29870", + "right": "issue:30333", + "accept": false, + "reason": "Completely unrelated: BART generate() error vs MLflow job-status reporting." + }, + { + "left": "issue:44479", + "right": "issue:46170", + "accept": false, + "reason": "Video-input regression in Qwen models vs Windows/ROCm import dependency failure. Distinct code paths and symptoms." + }, + { + "left": "issue:44987", + "right": "issue:45459", + "accept": false, + "reason": "Tokenizer load failure for a model/package vs protobuf-related error masking. Different root causes." + }, + { + "left": "issue:43352", + "right": "issue:45250", + "accept": false, + "reason": "One is a specific model not supporting Flash Attention 2.0; the other is a general Flash Attention issue, not the same bug." + }, + { + "left": "issue:45412", + "right": "issue:46123", + "accept": false, + "reason": "RT-DETR memory leak and MaskGenerationPipeline batch-finalization bug are unrelated." + }, + { + "left": "issue:44060", + "right": "issue:44077", + "accept": false, + "reason": "Tied-weights warning in Qwen3-Next vs patchtsmixer post_init policy; no shared defect." + }, + { + "left": "issue:44368", + "right": "issue:44977", + "accept": false, + "reason": "Weight-tying warning during fine-tuning vs flash-attention generation failure. Same model family, different problems." + }, + { + "left": "issue:43653", + "right": "issue:44162", + "accept": false, + "reason": "BigBirdTokenizer special-token decode bug vs ESM2 breakage; different components and failures." + }, + { + "left": "issue:44877", + "right": "issue:46170", + "accept": false, + "reason": "Strict config loading vs Windows/ROCm torch.distributed import issue. Not the same underlying issue." + }, + { + "left": "issue:44995", + "right": "issue:45200", + "accept": false, + "reason": "Second-forward-pass cache/indexer crash vs Gemma4 mm_token_type_ids requirement. Different failure modes." + }, + { + "left": "issue:43475", + "right": "issue:43540", + "accept": false, + "reason": "SAM 3 Video missing attribute vs Qwen3OmniMoe video-input ValueError. Different models and error causes." + }, + { + "left": "issue:42886", + "right": "issue:45229", + "accept": false, + "reason": "Offline tokenizer cache loading vs multi-GPU CUDA OOM. Not duplicates." + }, + { + "left": "issue:45397", + "right": "issue:45656", + "accept": false, + "reason": "Gemma-4 zero3 from_pretrained loading issue vs Deepspeed double optimizer-step bug. Distinct problems." + }, + { + "left": "issue:43065", + "right": "issue:43408", + "accept": false, + "reason": "Dummy Conv2d in Sam3PixelDecoder vs model-type mismatch warning for sam3_video/sam3_tracker. Related naming, but not same bug." + }, + { + "left": "issue:43931", + "right": "issue:44368", + "accept": false, + "reason": "Qwen3-VL weight-shape mismatch vs Qwen3.5 tie_word_embeddings warning. Unrelated." + }, + { + "left": "issue:44995", + "right": "issue:45588", + "accept": false, + "reason": "Indexer-cache crash vs flash_attention.py s_aux=None AttributeError. Different code paths." + }, + { + "left": "issue:44368", + "right": "issue:45563", + "accept": false, + "reason": "Embedding-tying warning vs stale num_return_sequences warning in paged generate. Not the same defect." + }, + { + "left": "issue:43723", + "right": "issue:46710", + "accept": false, + "reason": "Tokenizer loading issue in v5 vs model accuracy regression after upgrade. Different symptoms and likely causes." + }, + { + "left": "issue:45987", + "right": "issue:46082", + "accept": false, + "reason": "Cache sequence-length return type bug vs LlamaConfig head_dim validation. Distinct issues." + }, + { + "left": "issue:44188", + "right": "issue:46202", + "accept": false, + "reason": "Attention-kernel divergence under torch.compile vs Gemma pipeline roundtrip failure on \u2581. No shared code-path bug." + }, + { + "left": "issue:44483", + "right": "issue:46202", + "accept": false, + "reason": "Chat-completions API request rejection vs Gemma pipeline roundtrip failure. Different surfaces." + }, + { + "left": "issue:43906", + "right": "issue:46202", + "accept": false, + "reason": "Isolated reproduction of another issue vs Gemma roundtrip bug; not enough to treat as the same underlying problem." + }, + { + "left": "issue:45685", + "right": "issue:46431", + "accept": false, + "reason": "MPS histogram op failure vs missing chat template error. Unrelated." + }, + { + "left": "issue:44188", + "right": "issue:46421", + "accept": false, + "reason": "torch.compile attention-kernel divergence vs chunked-prefill recompilation regression. Different mechanisms." + }, + { + "left": "issue:45584", + "right": "issue:46170", + "accept": false, + "reason": "Whisper empty-transcription failure vs Windows/ROCm import dependency issue. Different subsystems." + }, + { + "left": "issue:43065", + "right": "issue:46123", + "accept": false, + "reason": "SAM3 pixel-decoder placeholder conv vs MaskGenerationPipeline batch handling. Unrelated." + }, + { + "left": "issue:44361", + "right": "issue:44749", + "accept": false, + "reason": "MLLukeTokenizer AttributeError vs slowdown after upgrading Transformers. Different bug classes, not duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 43, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28282", + "issue:30990", + "issue:39692", + "issue:41628", + "issue:42371", + "issue:42994", + "issue:43232", + "issue:43441", + "issue:43475", + "issue:43482", + "issue:43525", + "issue:43643", + "issue:43646", + "issue:43673", + "issue:43701", + "issue:43723", + "issue:43784", + "issue:43873", + "issue:43986", + "issue:43994", + "issue:44038", + "issue:44162", + "issue:44188", + "issue:44297", + "issue:44623", + "issue:44749", + "issue:44869", + "issue:44871", + "issue:44933", + "issue:44945", + "issue:44964", + "issue:45092", + "issue:45137", + "issue:45230", + "issue:45310", + "issue:45356", + "issue:45375", + "issue:45381", + "issue:45397", + "issue:45406", + "issue:45478", + "issue:45656", + "issue:46132", + "issue:46202", + "issue:46326", + "issue:46399", + "issue:46726", + "issue:46752" + ], + "soft_pairs": [ + "issue:44297|issue:44623", + "issue:43994|issue:46726", + "issue:43646|issue:44162", + "issue:44749|issue:45656", + "issue:44871|issue:46132", + "issue:43701|issue:44749", + "issue:42994|issue:43482", + "issue:44623|issue:45656", + "issue:43441|issue:46752", + "issue:43232|issue:43673", + "issue:43475|issue:43643", + "issue:45375|issue:45478", + "issue:28282|issue:30990", + "issue:44964|issue:45137", + "issue:41628|issue:44933", + "issue:43986|issue:46726", + "issue:45310|issue:45375", + "issue:44869|issue:45356", + "issue:42994|issue:43525", + "issue:44038|issue:44623", + "issue:39692|issue:46726", + "issue:45230|issue:45397", + "issue:43723|issue:46326", + "issue:43475|issue:45381", + "issue:42371|issue:45092", + "issue:43784|issue:46399", + "issue:43232|issue:44188", + "issue:43873|issue:44945", + "issue:45406|issue:46202" + ], + "prepared_review_unit_hash": "1093cf511b4b70c6a3e60ba16f047806e3a22c1ccbf3eb4f4bb3a6fbbff81315", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36167, + "estimated_input_tokens": 9042, + "estimated_eval_tokens": 18340 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Most pairs are adjacent but not duplicates: they share a subsystem or API surface, yet the concrete failure differs. The only strong mergeable match is the Qwen3.5-MoE loading/config pair, where the specific missing config field plausibly explains the generic from_pretrained failure.", + "confidence": 0.68, + "canonical_issue_reason": "issue:45310 is the broadest, clearest user-facing report of the Qwen3.5-MoE loading failure, so it works best as the canonical issue.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45310 is the best representative issue for the accepted duplicate pair because it describes the end-user from_pretrained failure that the more specific config-field report appears to cause.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44297", + "right": "issue:44623", + "accept": false, + "reason": "Both concern save_pretrained behavior, but one is tokenizer_class metadata mismatch and the other is missing processor files; different bugs." + }, + { + "left": "issue:43994", + "right": "issue:46726", + "accept": false, + "reason": "Both involve Auto* vision loading, but one reports bad outputs from SigLIP2 and the other is a missing-backend error path." + }, + { + "left": "issue:43646", + "right": "issue:44162", + "accept": false, + "reason": "Generic custom/remote-code loading problems, but the concrete failures differ: missing fields in AutoConfig vs broken ESM2 behavior." + }, + { + "left": "issue:44749", + "right": "issue:45656", + "accept": false, + "reason": "Different regressions: a performance slowdown after upgrade versus optimizer.step being called twice under deepspeed." + }, + { + "left": "issue:44871", + "right": "issue:46132", + "accept": false, + "reason": "Both touch config/behavior, but Gemma eos_token_id mismatch is unrelated to AttentionInterface.register semantics." + }, + { + "left": "issue:43701", + "right": "issue:44749", + "accept": false, + "reason": "Checkpoint resume key mismatch is not the same bug as a tokenizer/data throughput slowdown." + }, + { + "left": "issue:42994", + "right": "issue:43482", + "accept": false, + "reason": "Saving a quantized model and loading Qwen2.5-GGUF are different code paths and different failures." + }, + { + "left": "issue:44623", + "right": "issue:45656", + "accept": false, + "reason": "Processor save_pretrained file generation is unrelated to deepspeed optimizer stepping." + }, + { + "left": "issue:43441", + "right": "issue:46752", + "accept": false, + "reason": "Different areas entirely: FlashAttention failure for Ministral-3 versus empty-list chat template handling." + }, + { + "left": "issue:43232", + "right": "issue:43673", + "accept": false, + "reason": "Both are generation-related v5 issues, but one is sync_gpus/_update_model_kwargs and the other is chunked_prefill cache handling." + }, + { + "left": "issue:43475", + "right": "issue:43643", + "accept": false, + "reason": "SAM3 video output attribute error is unrelated to AutoConfig missing fields under trust_remote_code." + }, + { + "left": "issue:45375", + "right": "issue:45478", + "accept": false, + "reason": "Same model family, but one is a specific config field omission and the other is only a generic from_pretrained error report." + }, + { + "left": "issue:28282", + "right": "issue:30990", + "accept": false, + "reason": "ImportError for missing PyTorch is unrelated to Sentence Transformers getting stuck loading." + }, + { + "left": "issue:44964", + "right": "issue:45137", + "accept": false, + "reason": "Different failures: model load incompatibility versus DeepSpeed ZeRO3 deque underflow." + }, + { + "left": "issue:41628", + "right": "issue:44933", + "accept": false, + "reason": "Both are import-related, but AutoImageProcessor missing from transformers is not the same as a bad import from image_utils." + }, + { + "left": "issue:43986", + "right": "issue:46726", + "accept": false, + "reason": "Both mention missing vision backends, but one is a video-model AutoProcessor crash and the other is an unrecognized image processor error." + }, + { + "left": "issue:39692", + "right": "issue:46726", + "accept": false, + "reason": "Documentation/example errors for SigLIP2 are not the same as runtime backend-missing processor errors." + }, + { + "left": "issue:45310", + "right": "issue:45375", + "accept": true, + "reason": "Same Qwen3.5-MoE loading/config path; the specific missing Qwen3_5MoeVisionConfig field plausibly causes the broader from_pretrained failure." + }, + { + "left": "issue:44869", + "right": "issue:45356", + "accept": false, + "reason": "Both are tokenizer/decoder regressions, but they affect different models and different text-processing logic." + }, + { + "left": "issue:42994", + "right": "issue:43525", + "accept": false, + "reason": "Quantized model saving failure is unrelated to Llama4Config missing pad_token_id." + }, + { + "left": "issue:44038", + "right": "issue:44623", + "accept": false, + "reason": "Qwen3-VL-Moe upgrade bug and processor save_pretrained missing files are different issues." + }, + { + "left": "issue:39692", + "right": "issue:46726", + "accept": false, + "reason": "A broken documentation example is not the same underlying bug as missing-vision-backend handling in AutoProcessor." + }, + { + "left": "issue:45230", + "right": "issue:45397", + "accept": false, + "reason": "Generic bug report provides no concrete overlap with gemma-4 ZeRO3 from_pretrained failure." + }, + { + "left": "issue:43723", + "right": "issue:46326", + "accept": false, + "reason": "Tokenizer loading in v5 and continue_final_message for mistral_common tokenizers are different behaviors and code paths." + }, + { + "left": "issue:43475", + "right": "issue:45381", + "accept": false, + "reason": "Different video-model bugs: missing fpn_position_embeddings versus wrong vision_position_ids." + }, + { + "left": "issue:42371", + "right": "issue:45092", + "accept": false, + "reason": "TF32 settings and InternVL2 meta-initialization incompatibility are unrelated." + }, + { + "left": "issue:43784", + "right": "issue:46399", + "accept": false, + "reason": "Import-time NameError in sentence-transformers is unrelated to the Qwen3.5 kernel registration failure." + }, + { + "left": "issue:43232", + "right": "issue:44188", + "accept": false, + "reason": "Both involve generation/attention internals, but one is a generation kwargs update issue and the other is a torch.compile attention-kernel divergence." + }, + { + "left": "issue:43873", + "right": "issue:44945", + "accept": false, + "reason": "Quantization offloading and incorrect pipeline-parallel outputs are separate problems." + }, + { + "left": "issue:45406", + "right": "issue:46202", + "accept": false, + "reason": "Gemma4Processor missing _tokenizer during serve is not the same as Gemma pipeline roundtrip failure on \u2581." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays grounded in the packet and the soft-edge verdicts are appropriately cautious. The only accepted duplicate pair, issue:45310 and issue:45375, is plausibly the same Qwen3.5-MoE loading/config bug, and the canonical choice is conservative. No soft-edge rejection appears overstated." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 44, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:30333", + "issue:30990", + "issue:33290", + "issue:35141", + "issue:36010", + "issue:41628", + "issue:42175", + "issue:42673", + "issue:42831", + "issue:42898", + "issue:42994", + "issue:43232", + "issue:43278", + "issue:43377", + "issue:43479", + "issue:43504", + "issue:43704", + "issue:43723", + "issue:43824", + "issue:43976", + "issue:44016", + "issue:44038", + "issue:44222", + "issue:44242", + "issue:44351", + "issue:44496", + "issue:44568", + "issue:44623", + "issue:44792", + "issue:44869", + "issue:44933", + "issue:44945", + "issue:45081", + "issue:45103", + "issue:45137", + "issue:45310", + "issue:45561", + "issue:45600", + "issue:45712", + "issue:45753", + "issue:45812", + "issue:46077", + "issue:46123", + "issue:46202", + "issue:46231", + "issue:46693", + "issue:46701" + ], + "soft_pairs": [ + "issue:44945|issue:45753", + "issue:41628|issue:44351", + "issue:42994|issue:43824", + "issue:45081|issue:45103", + "issue:42673|issue:43704", + "issue:43278|issue:45137", + "issue:46202|issue:46701", + "issue:44038|issue:45310", + "issue:36010|issue:41628", + "issue:44222|issue:45310", + "issue:42831|issue:44222", + "issue:43232|issue:44792", + "issue:30333|issue:33290", + "issue:43504|issue:45561", + "issue:42175|issue:44933", + "issue:44496|issue:45561", + "issue:45561|issue:45600", + "issue:43976|issue:44933", + "issue:42175|issue:45712", + "issue:30990|issue:35141", + "issue:42898|issue:44568", + "issue:43377|issue:44242", + "issue:46077|issue:46123", + "issue:44623|issue:45310", + "issue:43479|issue:44869", + "issue:42673|issue:46693", + "issue:44016|issue:46231", + "issue:42898|issue:45812", + "issue:43723|issue:44568" + ], + "prepared_review_unit_hash": "b24fc0f89bcccb4f3ea6dd1bd1a73021565293c15321fb2bbf14a5dcfe595f69", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35746, + "estimated_input_tokens": 8937, + "estimated_eval_tokens": 18130 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated transformers issues with one clear duplicate pair: the repeated Qwen3ForCausalLM VRAM leak report. No PRs are present.", + "confidence": 0.93, + "canonical_issue_reason": "issue:42673 is the stronger canonical issue: it has the fuller report, much more discussion, and issue:43704 is effectively the same VRAM-leak bug with the same title.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:42673 is the best representative issue in this set because it is the clearest true duplicate target and provides the most complete description of the concrete bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44945", + "right": "issue:45753", + "accept": false, + "reason": "Different failures: pipeline-parallelism output corruption vs a Qwen3_5 image-specific infinite loop." + }, + { + "left": "issue:41628", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but for different symbols and likely different fixes; not the same underlying bug." + }, + { + "left": "issue:42994", + "right": "issue:43824", + "accept": false, + "reason": "Quantized model saving failure and a missing Qwen2_5_VLForConditionalGeneration import are unrelated." + }, + { + "left": "issue:45081", + "right": "issue:45103", + "accept": false, + "reason": "Tokenizer regex crash and auto_docstring annotation handling are unrelated code paths." + }, + { + "left": "issue:42673", + "right": "issue:43704", + "accept": true, + "reason": "Same title, same Qwen3ForCausalLM multithreaded dataloader VRAM leak, clearly the same bug." + }, + { + "left": "issue:43278", + "right": "issue:45137", + "accept": false, + "reason": "Embedding dtype drift during evaluate and DeepSpeed ZeRO3 deque underflow are different bugs." + }, + { + "left": "issue:46202", + "right": "issue:46701", + "accept": false, + "reason": "Both mention Gemma, but one is a token roundtrip failure and the other is an image-text pipeline failure." + }, + { + "left": "issue:44038", + "right": "issue:45310", + "accept": false, + "reason": "Both involve Qwen MoE models, but they describe different model/version loading problems." + }, + { + "left": "issue:36010", + "right": "issue:41628", + "accept": false, + "reason": "Separate missing-import regressions for different public APIs; not one concrete bug." + }, + { + "left": "issue:44222", + "right": "issue:45310", + "accept": false, + "reason": "Saving FP8 MoE models and loading Qwen3.5 MoE from_pretrained are different operations and failure modes." + }, + { + "left": "issue:42831", + "right": "issue:44222", + "accept": false, + "reason": "Accuracy regression in FineGrainedFP8 is not the same as FP8 save_pretrained failure." + }, + { + "left": "issue:43232", + "right": "issue:44792", + "accept": false, + "reason": "Generation kwargs handling and a janus image-generation test failure are unrelated." + }, + { + "left": "issue:30333", + "right": "issue:33290", + "accept": false, + "reason": "MLflow reporting on failed jobs and DeepSpeed OOM with Adafactor are unrelated issues." + }, + { + "left": "issue:43504", + "right": "issue:45561", + "accept": false, + "reason": "Legacy config loading for Beit segmentation is unrelated to an xdist file-race in testing utilities." + }, + { + "left": "issue:42175", + "right": "issue:44933", + "accept": false, + "reason": "Backend-dependency packaging and an image_utils import error are different problems." + }, + { + "left": "issue:44496", + "right": "issue:45561", + "accept": false, + "reason": "Model config recognition failure and a captured_info.txt race are unrelated." + }, + { + "left": "issue:45561", + "right": "issue:45600", + "accept": false, + "reason": "Both touch testing/CI, but one is a file race and the other is stale auto_mappings references." + }, + { + "left": "issue:43976", + "right": "issue:44933", + "accept": false, + "reason": "Python version compatibility and an image_utils import problem are unrelated." + }, + { + "left": "issue:42175", + "right": "issue:45712", + "accept": false, + "reason": "Optional-backend packaging and dummy class cleanup are different maintenance issues." + }, + { + "left": "issue:30990", + "right": "issue:35141", + "accept": false, + "reason": "Sentence Transformers loading stall and embedding reinitialization in post_init are unrelated." + }, + { + "left": "issue:42898", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer regressions, but they affect different behaviors and tokenizers." + }, + { + "left": "issue:43377", + "right": "issue:44242", + "accept": false, + "reason": "Missing padding-mask support in MIMI encoder is unrelated to router-logits loss computation." + }, + { + "left": "issue:46077", + "right": "issue:46123", + "accept": false, + "reason": "Attention-mask construction and partial-batch pipeline bookkeeping are different bugs." + }, + { + "left": "issue:44623", + "right": "issue:45310", + "accept": false, + "reason": "Processor save_pretrained missing files and Qwen3.5 MoE loading error are unrelated." + }, + { + "left": "issue:43479", + "right": "issue:44869", + "accept": false, + "reason": "Multimodal config default initialization and Whisper timestamp decode crash are unrelated." + }, + { + "left": "issue:42673", + "right": "issue:46693", + "accept": false, + "reason": "VRAM leak in threaded dataloaders and FA2 long-context performance regression are different issues." + }, + { + "left": "issue:44016", + "right": "issue:46231", + "accept": false, + "reason": "Notebook syntax error and a docs parameter-name mismatch are unrelated." + }, + { + "left": "issue:42898", + "right": "issue:45812", + "accept": false, + "reason": "Different tokenizer regressions affecting different models and symptoms." + }, + { + "left": "issue:43723", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer-related v5 reports, but one is a general AutoTokenizer loading issue and the other is a specific add_special_tokens regression." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary matches the packet: all items are issues, and issue:42673 vs issue:43704 is a clear duplicate pair with identical titles and stronger discussion on 42673. The other soft-edge verdicts stay on the cautious side and do not overclaim equivalence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 45, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:22355", + "issue:27957", + "issue:28282", + "issue:30333", + "issue:34689", + "issue:35141", + "issue:41628", + "issue:42222", + "issue:42757", + "issue:42796", + "issue:42831", + "issue:42898", + "issue:43116", + "issue:43295", + "issue:43479", + "issue:43644", + "issue:43723", + "issue:43784", + "issue:43824", + "issue:43874", + "issue:44060", + "issue:44075", + "issue:44079", + "issue:44190", + "issue:44222", + "issue:44295", + "issue:44297", + "issue:44360", + "issue:44448", + "issue:44623", + "issue:44734", + "issue:44779", + "issue:44933", + "issue:45071", + "issue:45092", + "issue:45103", + "issue:45125", + "issue:45200", + "issue:45245", + "issue:45356", + "issue:45405", + "issue:45656", + "issue:45712", + "issue:46082", + "issue:46132", + "issue:46231", + "issue:46665", + "issue:46762" + ], + "soft_pairs": [ + "issue:42222|issue:45200", + "issue:43479|issue:44079", + "issue:42898|issue:44779", + "issue:43784|issue:43824", + "issue:44734|issue:45103", + "issue:27957|issue:30333", + "issue:30333|issue:34689", + "issue:43874|issue:45092", + "issue:42898|issue:43295", + "issue:42898|issue:45356", + "issue:44060|issue:45125", + "issue:43116|issue:44190", + "issue:44295|issue:45656", + "issue:45405|issue:45712", + "issue:30333|issue:35141", + "issue:22355|issue:28282", + "issue:44933|issue:45712", + "issue:44222|issue:44297", + "issue:44075|issue:46231", + "issue:44360|issue:46762", + "issue:44448|issue:46132", + "issue:42831|issue:44623", + "issue:44297|issue:45656", + "issue:42796|issue:43723", + "issue:43479|issue:43644", + "issue:44222|issue:44623", + "issue:45245|issue:46132", + "issue:43479|issue:46665", + "issue:41628|issue:42757", + "issue:45071|issue:46082" + ], + "prepared_review_unit_hash": "899b0f2f0fb48009074208e35f1f4f89db10fad28dc758a367985c7c33e43fe0", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36677, + "estimated_input_tokens": 9170, + "estimated_eval_tokens": 18596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated Transformers issues that only share broad themes like imports, tokenizer regressions, or model/config behavior. The soft-similarity links are surface-level only; none look like the same underlying bug or change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42222", + "right": "issue:45200", + "accept": false, + "reason": "Different model families and failure modes: vitpose model breakage vs Gemma 4 mm_token_type_ids defaulting. No shared code-path." + }, + { + "left": "issue:43479", + "right": "issue:44079", + "accept": false, + "reason": "One is multimodal config initialization defaults, the other is ModelOutput key assignment semantics. Similar Python object behavior, but not the same bug." + }, + { + "left": "issue:42898", + "right": "issue:44779", + "accept": false, + "reason": "Both are tokenizer regressions, but one is about clean_up_tokenization_spaces in v5 while the other is DeepSeek codec/BPE handling. Distinct fixes." + }, + { + "left": "issue:43784", + "right": "issue:43824", + "accept": false, + "reason": "Both are import errors, but they affect different packages and symbols: sentence-transformers nn import vs transformers Qwen2.5-VL export." + }, + { + "left": "issue:44734", + "right": "issue:45103", + "accept": false, + "reason": "Completely different paths: serving KV-cache continuation crash vs auto_docstring/annotation introspection AttributeError." + }, + { + "left": "issue:27957", + "right": "issue:30333", + "accept": false, + "reason": "XLMRoberta Flash Attention 2 support is unrelated to MLflow not reporting failed training jobs." + }, + { + "left": "issue:30333", + "right": "issue:34689", + "accept": false, + "reason": "Training-job MLflow reporting vs model-loading regression for Llama 3.2 Vision. Different subsystems and symptoms." + }, + { + "left": "issue:43874", + "right": "issue:45092", + "accept": false, + "reason": "Both involve multimodal models, but one is a missing image-patch method in GLM46VImageProcessorFast and the other is old InternVL2 remote-code/meta-init incompatibility." + }, + { + "left": "issue:42898", + "right": "issue:43295", + "accept": false, + "reason": "Both are v5-related tokenizer/processor regressions, but one is cleanup-space behavior and the other is processor.tokenizer/images-to-tokenizer breakage." + }, + { + "left": "issue:42898", + "right": "issue:45356", + "accept": false, + "reason": "Different tokenizer regressions affecting different models and code paths; not the same underlying bug." + }, + { + "left": "issue:44060", + "right": "issue:45125", + "accept": false, + "reason": "Both concern Qwen variants, but one is a wrong tied-weights warning and the other is missing tensor-parallel plan metadata." + }, + { + "left": "issue:43116", + "right": "issue:44190", + "accept": false, + "reason": "Different example scripts with different failures: multi-label classification outputs vs local dataset loading." + }, + { + "left": "issue:44295", + "right": "issue:45656", + "accept": false, + "reason": "Registering position_ids as a buffer is unrelated to deepspeed causing optimizer.step() to run twice." + }, + { + "left": "issue:45405", + "right": "issue:45712", + "accept": false, + "reason": "PEFT version pinning is unrelated to dummy class cleanup and repo-check/dir(transformers) leakage." + }, + { + "left": "issue:30333", + "right": "issue:35141", + "accept": false, + "reason": "MLflow reporting on failed jobs is unrelated to token embedding resize/post_init reinitialization." + }, + { + "left": "issue:22355", + "right": "issue:28282", + "accept": false, + "reason": "Different import failures tied to different missing dependencies/modules: transformers.onnx vs PyTorch requirement for AutoModel." + }, + { + "left": "issue:44933", + "right": "issue:45712", + "accept": false, + "reason": "Both touch import/export surface area, but one is a missing image_utils import and the other is leftover dummy PT classes; not the same fix." + }, + { + "left": "issue:44222", + "right": "issue:44297", + "accept": false, + "reason": "Both mention save_pretrained, but one is FP8 MoE model serialization and the other is tokenizer_config.json class metadata." + }, + { + "left": "issue:44075", + "right": "issue:46231", + "accept": false, + "reason": "Runtime optimizer argument handling vs a documentation parameter-name mismatch. Not the same bug." + }, + { + "left": "issue:44360", + "right": "issue:46762", + "accept": false, + "reason": "Different numerical/algorithmic issues in unrelated components: DSA indexer ReLU vs Minimax MSA attention accuracy differences." + }, + { + "left": "issue:44448", + "right": "issue:46132", + "accept": false, + "reason": "Both are behavioral changes, but one is Pegasus output drift across versions and the other is AttentionInterface.register changing callable semantics." + }, + { + "left": "issue:42831", + "right": "issue:44623", + "accept": false, + "reason": "FP8 accuracy issues are unrelated to processor.save_pretrained missing files." + }, + { + "left": "issue:44297", + "right": "issue:45656", + "accept": false, + "reason": "Tokenizer save_pretrained metadata mismatch is unrelated to deepspeed double optimizer stepping." + }, + { + "left": "issue:42796", + "right": "issue:43723", + "accept": false, + "reason": "Both are tokenizer-related, but one is tokenizer BPE marker handling and the other is AutoTokenizer.from_pretrained loading failure." + }, + { + "left": "issue:43479", + "right": "issue:46665", + "accept": false, + "reason": "Both involve from_pretrained/configuration behavior, but they describe different call patterns and failure mechanisms." + }, + { + "left": "issue:41628", + "right": "issue:42757", + "accept": false, + "reason": "Separate import errors from different packages and symbols; no common underlying defect." + }, + { + "left": "issue:45071", + "right": "issue:46082", + "accept": false, + "reason": "PretrainedConfig type-checking regression is not the same as LlamaConfig validating head_dim divisibility." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 46, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:22355", + "issue:27957", + "issue:30990", + "issue:38175", + "issue:42831", + "issue:42907", + "issue:43122", + "issue:43232", + "issue:43475", + "issue:43644", + "issue:43723", + "issue:44038", + "issue:44190", + "issue:44206", + "issue:44222", + "issue:44261", + "issue:44263", + "issue:44279", + "issue:44295", + "issue:44297", + "issue:44360", + "issue:44373", + "issue:44483", + "issue:44484", + "issue:44485", + "issue:44623", + "issue:44734", + "issue:44829", + "issue:44977", + "issue:45092", + "issue:45103", + "issue:45310", + "issue:45357", + "issue:45381", + "issue:45406", + "issue:45834", + "issue:46002", + "issue:46050", + "issue:46082", + "issue:46132", + "issue:46209", + "issue:46305", + "issue:46328", + "issue:46421", + "issue:46424", + "issue:46431", + "issue:46655", + "issue:46710" + ], + "soft_pairs": [ + "issue:44373|issue:44485", + "issue:46132|issue:46710", + "issue:44297|issue:45310", + "issue:43723|issue:44977", + "issue:44222|issue:44484", + "issue:44190|issue:46082", + "issue:43232|issue:46424", + "issue:44206|issue:45103", + "issue:43122|issue:46209", + "issue:43232|issue:45834", + "issue:44263|issue:45092", + "issue:43475|issue:46305", + "issue:44734|issue:46421", + "issue:46209|issue:46431", + "issue:46305|issue:46655", + "issue:44295|issue:44623", + "issue:44263|issue:44360", + "issue:30990|issue:38175", + "issue:44263|issue:44373", + "issue:45381|issue:46305", + "issue:43644|issue:46305", + "issue:42907|issue:46050", + "issue:42831|issue:45310", + "issue:44279|issue:46328", + "issue:44829|issue:46002", + "issue:45092|issue:45357", + "issue:22355|issue:27957", + "issue:44483|issue:45406", + "issue:44261|issue:45092", + "issue:42831|issue:44038" + ], + "prepared_review_unit_hash": "6183f093c18115a7af3ea7c70b57ae2774359dec93707ddecf57104a2daca231", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36357, + "estimated_input_tokens": 9090, + "estimated_eval_tokens": 18436 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: the issue titles span unrelated bugs in serialization, generation, attention, processors, and model-specific regressions. None of the soft pairs look like the same underlying bug/change closely enough to merge as duplicates.", + "confidence": 0.86, + "canonical_issue_reason": "Issue 45092 is the clearest self-contained regression report in the set, with a specific incompatibility, version boundary, and affected checkpoint family. The remaining items are mostly unrelated niche bugs or adjacent but distinct failure modes.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45092 is the strongest representative issue because it is concrete, reproducible, and narrowly scoped, making it the best single anchor if one issue must stand in for the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44373", + "right": "issue:44485", + "accept": false, + "reason": "Docstring wording vs RoPE implementation; different code paths and symptoms." + }, + { + "left": "issue:46132", + "right": "issue:46710", + "accept": false, + "reason": "Attention registration behavior change is not the same as a DeepSeek accuracy regression." + }, + { + "left": "issue:44297", + "right": "issue:45310", + "accept": false, + "reason": "Tokenizer class metadata mismatch and Qwen3.5 from_pretrained failure are distinct save/load bugs." + }, + { + "left": "issue:43723", + "right": "issue:44977", + "accept": false, + "reason": "Tokenizer loading in v5 is unrelated to flash-attention generation correctness." + }, + { + "left": "issue:44222", + "right": "issue:44484", + "accept": false, + "reason": "FP8 save_pretrained on MoE is unrelated to the default 50GB shard-size question." + }, + { + "left": "issue:44190", + "right": "issue:46082", + "accept": false, + "reason": "Dataset loading script issue and LlamaConfig head_dim validation are unrelated." + }, + { + "left": "issue:43232", + "right": "issue:46424", + "accept": false, + "reason": "Generation kwargs update after sync_gpus is not the same as cache max_length handling." + }, + { + "left": "issue:44206", + "right": "issue:45103", + "accept": false, + "reason": "Feature extractor center-arg crash and auto_docstring annotation crash are different failures." + }, + { + "left": "issue:43122", + "right": "issue:46209", + "accept": false, + "reason": "Tokenizer behavior change and FP8 inference on B200 are unrelated." + }, + { + "left": "issue:43232", + "right": "issue:45834", + "accept": false, + "reason": "Generation kwargs bug and long OCR index error are different code paths." + }, + { + "left": "issue:44263", + "right": "issue:45092", + "accept": false, + "reason": "DSA indexer split behavior is unrelated to remote-code meta-initialization incompatibility." + }, + { + "left": "issue:43475", + "right": "issue:46305", + "accept": false, + "reason": "Missing encoder attribute in SAM3 video is unrelated to MoonshineStreaming mask off-by-one." + }, + { + "left": "issue:44734", + "right": "issue:46421", + "accept": false, + "reason": "KV-cache continuation crash and chunked-prefill recompilation are different cache issues." + }, + { + "left": "issue:46209", + "right": "issue:46431", + "accept": false, + "reason": "FP8 inference on B200 and missing chat template on processor are unrelated." + }, + { + "left": "issue:46305", + "right": "issue:46655", + "accept": false, + "reason": "Moonshine streaming mask bug and SmolVLM video padding bug affect different processors." + }, + { + "left": "issue:44295", + "right": "issue:44623", + "accept": false, + "reason": "position_ids buffer access error and missing processor save files are unrelated save/load bugs." + }, + { + "left": "issue:44263", + "right": "issue:44360", + "accept": false, + "reason": "Lack of ReLU in the DSA indexer is not the same as torch.split return-value handling." + }, + { + "left": "issue:30990", + "right": "issue:38175", + "accept": false, + "reason": "Sentence Transformers loading hang and SigLIP2 zero-probability issue are different model behaviors." + }, + { + "left": "issue:44263", + "right": "issue:44373", + "accept": false, + "reason": "Indexer split semantics and a wrong docstring are unrelated." + }, + { + "left": "issue:45381", + "right": "issue:46305", + "accept": false, + "reason": "Qwen2.5-VL vision_position_ids and Moonshine sliding-window mask are different video-processing bugs." + }, + { + "left": "issue:43644", + "right": "issue:46305", + "accept": false, + "reason": "Non-persistent buffer initialization junk and streaming mask off-by-one are unrelated." + }, + { + "left": "issue:42907", + "right": "issue:46050", + "accept": false, + "reason": "Dequantized model save failure and sinq save/load breakage are different quantization workflows." + }, + { + "left": "issue:42831", + "right": "issue:45310", + "accept": false, + "reason": "FineGrainedFP8 accuracy issue and Qwen3.5 MoE from_pretrained failure do not share the same bug." + }, + { + "left": "issue:44279", + "right": "issue:46328", + "accept": false, + "reason": "Dependency issue and SequenceFeatureExtractor.pad performance issue are not duplicates." + }, + { + "left": "issue:44829", + "right": "issue:46002", + "accept": false, + "reason": "Flash Attention 3 training degeneration and NaNs after checkout/init are different failure modes." + }, + { + "left": "issue:45092", + "right": "issue:45357", + "accept": false, + "reason": "Meta-init incompatibility in remote code is unrelated to incorrect visual encoder keys on save_pretrained." + }, + { + "left": "issue:22355", + "right": "issue:27957", + "accept": false, + "reason": "ONNX import error and XLMRoberta flash-attention support are unrelated." + }, + { + "left": "issue:44483", + "right": "issue:45406", + "accept": false, + "reason": "Chat/completions request rejection and Gemma4Processor missing _tokenizer are different serve-path bugs." + }, + { + "left": "issue:44261", + "right": "issue:45092", + "accept": false, + "reason": "MLA rms_norm_eps precision issue and remote-code meta-init incompatibility are unrelated." + }, + { + "left": "issue:42831", + "right": "issue:44038", + "accept": false, + "reason": "FP8 accuracy regression and Qwen3-VL-Moe bug are different model-specific issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 47, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:22355", + "issue:27957", + "issue:28218", + "issue:30990", + "issue:33357", + "issue:39401", + "issue:41628", + "issue:42371", + "issue:42757", + "issue:42796", + "issue:42831", + "issue:42886", + "issue:42907", + "issue:42994", + "issue:43066", + "issue:43122", + "issue:43232", + "issue:43408", + "issue:43576", + "issue:43646", + "issue:43756", + "issue:43784", + "issue:43824", + "issue:43937", + "issue:43976", + "issue:44060", + "issue:44117", + "issue:44188", + "issue:44261", + "issue:44263", + "issue:44295", + "issue:44297", + "issue:44373", + "issue:44488", + "issue:44568", + "issue:44704", + "issue:44945", + "issue:44964", + "issue:45278", + "issue:45593", + "issue:45600", + "issue:45753", + "issue:46002", + "issue:46172", + "issue:46369", + "issue:46402", + "issue:46762" + ], + "soft_pairs": [ + "issue:41628|issue:43824", + "issue:43408|issue:46402", + "issue:22355|issue:28218", + "issue:42831|issue:45753", + "issue:39401|issue:44568", + "issue:27957|issue:30990", + "issue:42886|issue:43066", + "issue:42757|issue:45278", + "issue:42886|issue:42994", + "issue:44188|issue:44373", + "issue:43408|issue:46369", + "issue:43232|issue:45593", + "issue:44261|issue:44373", + "issue:43646|issue:46002", + "issue:42796|issue:43122", + "issue:42907|issue:44945", + "issue:30990|issue:33357", + "issue:43576|issue:43784", + "issue:39401|issue:44488", + "issue:43756|issue:44060", + "issue:42371|issue:44263", + "issue:43976|issue:44945", + "issue:44295|issue:44297", + "issue:42907|issue:44964", + "issue:44117|issue:44704", + "issue:46172|issue:46762", + "issue:43784|issue:45600", + "issue:42907|issue:43937", + "issue:41628|issue:45278" + ], + "prepared_review_unit_hash": "bb18186b3d7485bb912388344419b516e54520bde0eea31df910512c01150604", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 29, + "serialized_chars": 35217, + "estimated_input_tokens": 8805, + "estimated_eval_tokens": 17866 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a grab bag of unrelated Transformers regressions: tokenizer edge cases, model-specific loading/accuracy bugs, and several version-compatibility/import failures. None of the soft pairs look like the same concrete bug, so no duplicate merges are justified.", + "confidence": 0.84, + "canonical_issue_reason": "Issue 45278 is the broadest representative issue here: it summarizes multiple import failures after a version upgrade, which is the closest umbrella theme among the import-related items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45278 is the best single issue to represent the cluster because it is high-level and captures the recurring upgrade/import-regression pattern better than the more narrowly scoped reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41628", + "right": "issue:43824", + "accept": false, + "reason": "Different import failures: missing AutoImageProcessor vs missing Qwen2.5-VL class. Similar symptom, not the same code-path bug." + }, + { + "left": "issue:43408", + "right": "issue:46402", + "accept": false, + "reason": "Different problems: a model-type warning during SAM3 instantiation versus SAM3 text-encoder weights not loading." + }, + { + "left": "issue:22355", + "right": "issue:28218", + "accept": false, + "reason": "Unrelated: missing transformers.onnx module vs tokenizer adding an extra space after an added token." + }, + { + "left": "issue:42831", + "right": "issue:45753", + "accept": false, + "reason": "Accuracy issue in FineGrainedFP8 is unrelated to Qwen3_5 infinite-loop behavior on a specific image." + }, + { + "left": "issue:39401", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer bugs, but one is wrong offset mappings and the other is missing BOS/EOS insertion; different behavior and likely different fixes." + }, + { + "left": "issue:27957", + "right": "issue:30990", + "accept": false, + "reason": "XLMRoberta Flash Attention 2 support and Sentence Transformers loading hang are different subsystems and failure modes." + }, + { + "left": "issue:42886", + "right": "issue:43066", + "accept": false, + "reason": "Offline cache loading failure is not the same as a wrong tokenizer decoder type in v5." + }, + { + "left": "issue:42757", + "right": "issue:45278", + "accept": false, + "reason": "Both mention imports, but one is a specific is_offline_mode import error and the other is a broad post-upgrade import breakage; not the same bug." + }, + { + "left": "issue:42886", + "right": "issue:42994", + "accept": false, + "reason": "Tokenizer cache/offline loading and quantized model saving failures are unrelated." + }, + { + "left": "issue:44188", + "right": "issue:44373", + "accept": false, + "reason": "Torch.compile attention divergence is unrelated to a docstring typo for position_ids." + }, + { + "left": "issue:43408", + "right": "issue:46369", + "accept": false, + "reason": "SAM3 tracker warning and sam3-litetext memory overflow are different SAM3 issues with different symptoms." + }, + { + "left": "issue:43232", + "right": "issue:45593", + "accept": false, + "reason": "Generation kwargs after sync_gpus and D-FINE auxiliary-loss behavior are unrelated code paths." + }, + { + "left": "issue:44261", + "right": "issue:44373", + "accept": false, + "reason": "Missing rms_norm_eps in MLA q_a_layernorm is unrelated to a docstring error." + }, + { + "left": "issue:43646", + "right": "issue:46002", + "accept": false, + "reason": "Custom model initialization breakage and NaNs in classification heads are not the same underlying defect." + }, + { + "left": "issue:42796", + "right": "issue:43122", + "accept": false, + "reason": "Both are tokenizer-related, but one is BPE-marker handling and the other is version-to-version tokenization drift; not the same concrete bug." + }, + { + "left": "issue:42907", + "right": "issue:44945", + "accept": false, + "reason": "Saving dequantized Ministral/Devstral models is unrelated to incorrect LLM output under pipeline parallelism." + }, + { + "left": "issue:30990", + "right": "issue:33357", + "accept": false, + "reason": "Loading stuck in Sentence Transformers is not the same as a MacOS bus error on a CLIP model." + }, + { + "left": "issue:43576", + "right": "issue:43784", + "accept": false, + "reason": "Broken transformers env command and NameError importing sentence-transformers are different failures." + }, + { + "left": "issue:39401", + "right": "issue:44488", + "accept": false, + "reason": "Qwen3 wrong offset mappings and inability to load cjvt/sleng-bert are unrelated." + }, + { + "left": "issue:43756", + "right": "issue:44060", + "accept": false, + "reason": "Smollm3 RoPE-layer discrepancy and Qwen3-Next tied-weights warning are unrelated model-specific issues." + }, + { + "left": "issue:42371", + "right": "issue:44263", + "accept": false, + "reason": "TF32 behavior API warning is unrelated to torch.split return values in GlmMoeDsaIndexer." + }, + { + "left": "issue:43976", + "right": "issue:44945", + "accept": false, + "reason": "Python version compatibility regression is unrelated to pipeline-parallelism output errors." + }, + { + "left": "issue:44295", + "right": "issue:44297", + "accept": false, + "reason": "Reading position_ids after buffer registration and tokenizer_class mismatch on save are different tokenizer/model serialization bugs." + }, + { + "left": "issue:42907", + "right": "issue:44964", + "accept": false, + "reason": "Dequantized model saving and loading Phi-4 multimodal instruct are different issues." + }, + { + "left": "issue:44117", + "right": "issue:44704", + "accept": false, + "reason": "TOKENIZER_MAPPING_NAMES returning None and AutoProcessor failing to pass kwargs are distinct loading-path bugs." + }, + { + "left": "issue:46172", + "right": "issue:46762", + "accept": false, + "reason": "DeepSeek comb transpose bug and Minimax attention numerical drift are different attention implementations and failure modes." + }, + { + "left": "issue:43784", + "right": "issue:45600", + "accept": false, + "reason": "Import NameError in sentence-transformers is unrelated to auto_mappings.py referencing removed Sam3LiteText configs." + }, + { + "left": "issue:42907", + "right": "issue:43937", + "accept": false, + "reason": "Dequantized model saving failure and invalid GLM-5 GenerationConfig are unrelated." + }, + { + "left": "issue:41628", + "right": "issue:45278", + "accept": false, + "reason": "A specific missing export and a broad multi-import regression after upgrade are related only at the symptom level, not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 48, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:22355", + "issue:29127", + "issue:29159", + "issue:36296", + "issue:38617", + "issue:39401", + "issue:42175", + "issue:42757", + "issue:42898", + "issue:42907", + "issue:43066", + "issue:43116", + "issue:43122", + "issue:43278", + "issue:43408", + "issue:43452", + "issue:43475", + "issue:43493", + "issue:43611", + "issue:43824", + "issue:43937", + "issue:44038", + "issue:44188", + "issue:44222", + "issue:44295", + "issue:44297", + "issue:44351", + "issue:44355", + "issue:44360", + "issue:44485", + "issue:44521", + "issue:44625", + "issue:44704", + "issue:44779", + "issue:44829", + "issue:44938", + "issue:44945", + "issue:45200", + "issue:45216", + "issue:45278", + "issue:45290", + "issue:45478", + "issue:45753", + "issue:46002", + "issue:46231", + "issue:46326", + "issue:46328", + "issue:46614" + ], + "soft_pairs": [ + "issue:44625|issue:44829", + "issue:44704|issue:45290", + "issue:39401|issue:44521", + "issue:44360|issue:44485", + "issue:43408|issue:43475", + "issue:43122|issue:44521", + "issue:43122|issue:46326", + "issue:44038|issue:44297", + "issue:42907|issue:43452", + "issue:22355|issue:29159", + "issue:43116|issue:45200", + "issue:45216|issue:45478", + "issue:39401|issue:46614", + "issue:44038|issue:44222", + "issue:44038|issue:44295", + "issue:43824|issue:44351", + "issue:43122|issue:44779", + "issue:43278|issue:44945", + "issue:42757|issue:44351", + "issue:36296|issue:43116", + "issue:22355|issue:29127", + "issue:42175|issue:44938", + "issue:43493|issue:45753", + "issue:44188|issue:46328", + "issue:42898|issue:46614", + "issue:43937|issue:44485", + "issue:43611|issue:46002", + "issue:38617|issue:45278", + "issue:43066|issue:44779", + "issue:44355|issue:46231" + ], + "prepared_review_unit_hash": "0eebabf58c93f2a892a2683f09fb7dfc6497d5b670e85e8bd1f9137c3956420f", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36356, + "estimated_input_tokens": 9089, + "estimated_eval_tokens": 18434 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose topic grouping around Transformers v5 regressions, especially tokenizer behavior, import errors, and model-specific save/load bugs. The soft links are thematically similar but not the same underlying defect, so I would not merge any pair.", + "confidence": 0.84, + "canonical_issue_reason": "If forced to pick one representative, issue:43122 is the broadest tokenizer-regression report in the set, but the overall cluster is too heterogeneous to treat as a single duplicate group.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43122 is the best umbrella representative of the dominant tokenizer-regression subtheme, though it does not cover the unrelated import/model-specific issues in the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44625", + "right": "issue:44829", + "accept": false, + "reason": "Both are Qwen3.5/v5-era regressions, but one is a num_labels propagation bug and the other is a flash-attention training issue; different code paths and symptoms." + }, + { + "left": "issue:44704", + "right": "issue:45290", + "accept": false, + "reason": "One is about AutoProcessor kwargs not reaching cached_file, the other is apply_chat_template crashing on tool-call assistant messages; unrelated bugs." + }, + { + "left": "issue:39401", + "right": "issue:44521", + "accept": false, + "reason": "Both involve tokenizer output, but one is wrong offset_mapping and the other is all-zero assistant masks for multimodal chat templates." + }, + { + "left": "issue:44360", + "right": "issue:44485", + "accept": false, + "reason": "The titles point to entirely different topics (DSA/ReLU discussion vs GLM-5 RoPE implementation), with no shared failure mode." + }, + { + "left": "issue:43408", + "right": "issue:43475", + "accept": false, + "reason": "Both are SAM 3 Video related, but one is a model-type warning and the other is a missing attribute on Sam3VisionEncoderOutput; not the same bug." + }, + { + "left": "issue:43122", + "right": "issue:44521", + "accept": false, + "reason": "Both mention tokenization, but one is a generic v4-to-v5 tokenizer behavior change and the other is multimodal assistant-mask handling." + }, + { + "left": "issue:43122", + "right": "issue:46326", + "accept": false, + "reason": "Both affect tokenizer behavior, but one is a broad regression report and the other is a specific continue_final_message bug for mistral_common tokenizers." + }, + { + "left": "issue:44038", + "right": "issue:44297", + "accept": false, + "reason": "One is a Qwen3-VL-Moe bug report and the other is tokenizer_class mismatch on save_pretrained; too different to be duplicates." + }, + { + "left": "issue:42907", + "right": "issue:43452", + "accept": false, + "reason": "Dequantized save_pretrained failure and gguf_file loading breakage are different save/load paths with different root causes." + }, + { + "left": "issue:22355", + "right": "issue:29159", + "accept": false, + "reason": "A missing transformers.onnx module and slow-vs-fast tokenizer inconsistency are unrelated issues." + }, + { + "left": "issue:43116", + "right": "issue:45200", + "accept": false, + "reason": "One is an example script returning empty multi-label results, the other is Gemma 4 mm_token_type_ids defaulting; different models and logic." + }, + { + "left": "issue:45216", + "right": "issue:45478", + "accept": false, + "reason": "Both involve Qwen3.5 and 5.4+, but one is save_pretrained producing a bad checkpoint while the other is a from_pretrained error; related family, not the same concrete bug." + }, + { + "left": "issue:39401", + "right": "issue:46614", + "accept": false, + "reason": "Both are tokenizer-related, but wrong offset_mapping and stale phonemizer backend state are distinct failures in different components." + }, + { + "left": "issue:44038", + "right": "issue:44222", + "accept": false, + "reason": "Qwen3-VL-Moe versus FP8 save_pretrained on moe: same broad area only, no shared bug evidence." + }, + { + "left": "issue:44038", + "right": "issue:44295", + "accept": false, + "reason": "A Qwen3-VL-Moe regression and a position_ids buffer read error are unrelated." + }, + { + "left": "issue:43824", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but they are missing different symbols from different modules, so they are not the same defect." + }, + { + "left": "issue:43122", + "right": "issue:44779", + "accept": false, + "reason": "Both describe tokenizer regressions across versions, but one is generic and the other is Deepseek-specific; not enough to merge." + }, + { + "left": "issue:43278", + "right": "issue:44945", + "accept": false, + "reason": "Embedding dtype drift in train/eval and incorrect LLM output under pipeline parallelism are different training/runtime bugs." + }, + { + "left": "issue:42757", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but one is from huggingface_hub and the other from transformers; different dependency breakages." + }, + { + "left": "issue:36296", + "right": "issue:43116", + "accept": false, + "reason": "Tensor parallel training bug and empty multi-label classification results are unrelated failures." + }, + { + "left": "issue:22355", + "right": "issue:29127", + "accept": false, + "reason": "No module named transformers.onnx and a LayoutLMv3 error-message clarity issue do not describe the same bug." + }, + { + "left": "issue:42175", + "right": "issue:44938", + "accept": false, + "reason": "Tensorflow backend packaging and Python 3.14 load failures are separate environment/dependency issues." + }, + { + "left": "issue:43493", + "right": "issue:45753", + "accept": false, + "reason": "SigLIP2 implementation discrepancy and Qwen3_5 infinite loop on one image are different model-specific bugs." + }, + { + "left": "issue:44188", + "right": "issue:46328", + "accept": false, + "reason": "A torch.compile attention-kernel divergence and SequenceFeatureExtractor.pad performance issue are unrelated." + }, + { + "left": "issue:42898", + "right": "issue:46614", + "accept": false, + "reason": "clean_up_tokenization_spaces behavior change and stale phonemizer backend state are different tokenizer subsystems with different bugs." + }, + { + "left": "issue:43937", + "right": "issue:44485", + "accept": false, + "reason": "GLM-5 generation config validation and GLM-5 RoPE implementation are different parts of the model stack." + }, + { + "left": "issue:43611", + "right": "issue:46002", + "accept": false, + "reason": "base_model_prefix loading regression and NaNs in classification heads upon checkout/init are unrelated issues." + }, + { + "left": "issue:38617", + "right": "issue:45278", + "accept": false, + "reason": "Both mention import failures, but the missing symbols differ and the latter is a broad upgrade report rather than the same root cause." + }, + { + "left": "issue:43066", + "right": "issue:44779", + "accept": false, + "reason": "Wrong tokenizer decoder type in v5 and Deepseek tokenizer incorrect results are both tokenizer regressions, but not the same specific defect." + }, + { + "left": "issue:44355", + "right": "issue:46231", + "accept": false, + "reason": "Compiled Python file errors and a documentation parameter-name mismatch are clearly unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 49, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28348", + "issue:33453", + "issue:39401", + "issue:42222", + "issue:42371", + "issue:42673", + "issue:42796", + "issue:43064", + "issue:43066", + "issue:43116", + "issue:43441", + "issue:43493", + "issue:43673", + "issue:43825", + "issue:43827", + "issue:43874", + "issue:43937", + "issue:43976", + "issue:43992", + "issue:44038", + "issue:44075", + "issue:44263", + "issue:44291", + "issue:44380", + "issue:44625", + "issue:44704", + "issue:44936", + "issue:44995", + "issue:45071", + "issue:45072", + "issue:45083", + "issue:45092", + "issue:45356", + "issue:45357", + "issue:45405", + "issue:45446", + "issue:45478", + "issue:45563", + "issue:46002", + "issue:46077", + "issue:46328", + "issue:46614", + "issue:46640", + "issue:46655", + "issue:46697", + "issue:46710", + "issue:46752", + "issue:46762" + ], + "soft_pairs": [ + "issue:43976|issue:45446", + "issue:43116|issue:43493", + "issue:42673|issue:45072", + "issue:44038|issue:45478", + "issue:44625|issue:46002", + "issue:45083|issue:45446", + "issue:45357|issue:45478", + "issue:42371|issue:43874", + "issue:44075|issue:44936", + "issue:42222|issue:43441", + "issue:43116|issue:43825", + "issue:43992|issue:44704", + "issue:44995|issue:46697", + "issue:43066|issue:46710", + "issue:28348|issue:46640", + "issue:46614|issue:46752", + "issue:44263|issue:46762", + "issue:43827|issue:45446", + "issue:45092|issue:46762", + "issue:43064|issue:43673", + "issue:42673|issue:42796", + "issue:43937|issue:45563", + "issue:33453|issue:39401", + "issue:44380|issue:46077", + "issue:45356|issue:46614", + "issue:42673|issue:46655", + "issue:43673|issue:46328", + "issue:42222|issue:46752", + "issue:45405|issue:45446", + "issue:44291|issue:45071" + ], + "prepared_review_unit_hash": "93782cfb2f4bf4344d31668808ee7bceab7561a198e10e4f073b0eeefe533355", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36463, + "estimated_input_tokens": 9116, + "estimated_eval_tokens": 18488 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the soft-similarity pairs mostly share vague Transformers/version/model themes but do not describe the same concrete bug or change, so none should be merged as duplicates. No PRs are present.", + "confidence": 0.91, + "canonical_issue_reason": "issue:42371 is the broadest, highest-activity report in the set and is the best representative of a version/configuration-regression class, though it is not a duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:42371 has the most discussion and the widest surface area among these unrelated reports, making it the strongest cluster anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43976", + "right": "issue:45446", + "accept": false, + "reason": "Python version compatibility vs a PyTorch import/version check in flex_attention; different failure modes." + }, + { + "left": "issue:43116", + "right": "issue:43493", + "accept": false, + "reason": "Example script multi-label empty output vs SigLIP2 implementation discrepancy; unrelated code paths." + }, + { + "left": "issue:42673", + "right": "issue:45072", + "accept": false, + "reason": "VRAM leak in multi-dataloader-thread use vs bfloat16 dtype mismatch in inference; not the same bug." + }, + { + "left": "issue:44038", + "right": "issue:45478", + "accept": false, + "reason": "Different Qwen model families and different from_pretrained failures; too broad to be one fix." + }, + { + "left": "issue:44625", + "right": "issue:46002", + "accept": false, + "reason": "Config propagation for num_labels vs NaNs in classification heads after init; different underlying issues." + }, + { + "left": "issue:45083", + "right": "issue:45446", + "accept": false, + "reason": "Qwen3_omni_moe feature-length helper bug vs flex_attention import gating; no shared code path." + }, + { + "left": "issue:45357", + "right": "issue:45478", + "accept": false, + "reason": "save_pretrained key serialization bug vs from_pretrained load error; related model family but distinct problems." + }, + { + "left": "issue:42371", + "right": "issue:43874", + "accept": false, + "reason": "TF32 behavior settings warning vs missing image-processor method; unrelated subsystems." + }, + { + "left": "issue:44075", + "right": "issue:44936", + "accept": false, + "reason": "Optimizer SGD arguments ignored vs trainer.evaluate() failing after train(); different lifecycle bugs." + }, + { + "left": "issue:42222", + "right": "issue:43441", + "accept": false, + "reason": "VitPose model breakage vs Ministral flash-attention failure; only a broad Transformers-v5 theme overlaps." + }, + { + "left": "issue:43116", + "right": "issue:43825", + "accept": false, + "reason": "Empty multi-label outputs in an example script vs an error-message/docs issue for pipeline(); not the same defect." + }, + { + "left": "issue:43992", + "right": "issue:44704", + "accept": false, + "reason": "Missing model weight on load vs AutoProcessor not forwarding kwargs to cached_file; distinct loading layers." + }, + { + "left": "issue:44995", + "right": "issue:46697", + "accept": false, + "reason": "GlmMoeDsa stale indexer cache crash vs Swin2SR over-padding; different models and bugs." + }, + { + "left": "issue:43066", + "right": "issue:46710", + "accept": false, + "reason": "Tokenizer decoder type mismatch vs accuracy regression after upgrade; too general and not one code-path fix." + }, + { + "left": "issue:28348", + "right": "issue:46640", + "accept": false, + "reason": "FlashAttention 2 support request for GPT2 vs a vague Flash Attention issue; no concrete same bug." + }, + { + "left": "issue:46614", + "right": "issue:46752", + "accept": false, + "reason": "Stale phonemizer backend state vs empty-list chat-template IndexError; unrelated tokenizer/runtime behavior." + }, + { + "left": "issue:44263", + "right": "issue:46762", + "accept": false, + "reason": "GlmMoeDsaIndexer torch.split handling vs Minimax attention numerical differences; different components." + }, + { + "left": "issue:43827", + "right": "issue:45446", + "accept": false, + "reason": "Docs still referencing removed pipeline() vs a PyTorch version check bug; documentation vs runtime validation." + }, + { + "left": "issue:45092", + "right": "issue:46762", + "accept": false, + "reason": "Remote-code meta-init incompatibility vs Minimax attention numerical drift; not the same change." + }, + { + "left": "issue:43064", + "right": "issue:43673", + "accept": false, + "reason": "Distributed optimizer state corruption vs missing GenerationMixin cache in chunked_prefill; unrelated code paths." + }, + { + "left": "issue:42673", + "right": "issue:46655", + "accept": false, + "reason": "VRAM leak in threaded loading vs video processor padding error; different symptoms and fixes." + }, + { + "left": "issue:43937", + "right": "issue:45563", + "accept": false, + "reason": "GenerationConfig validation failure vs stale warning for num_return_sequences; one is an error, the other a warning bug." + }, + { + "left": "issue:33453", + "right": "issue:39401", + "accept": false, + "reason": "Tokenizer loading regression vs Qwen3 offset_mapping bug; both tokenizer-related but not the same defect." + }, + { + "left": "issue:44380", + "right": "issue:46077", + "accept": false, + "reason": "GPT2 attention scaling ignored under SDPA/FlashAttention vs Gemma4 bidirectional mask logic; different attention semantics." + }, + { + "left": "issue:45356", + "right": "issue:46614", + "accept": false, + "reason": "Kimi tokenizer codec/warning regression vs stale phonemizer language backend; unrelated tokenization stacks." + }, + { + "left": "issue:43673", + "right": "issue:46328", + "accept": false, + "reason": "Chunked_prefill cache missing vs SequenceFeatureExtractor.pad performance issue; not the same bug." + }, + { + "left": "issue:42222", + "right": "issue:46752", + "accept": false, + "reason": "VitPose model breakage vs empty-list chat template crash; different components and failure modes." + }, + { + "left": "issue:45405", + "right": "issue:45446", + "accept": false, + "reason": "Released PEFT version requirement mismatch vs flex_attention PyTorch import check; different release issues." + }, + { + "left": "issue:44291", + "right": "issue:45071", + "accept": false, + "reason": "init_empty_weights unexpected argument vs PretrainedConfig type checking; distinct v5 compatibility problems." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 50, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:38617", + "issue:39401", + "issue:41628", + "issue:42222", + "issue:42371", + "issue:42617", + "issue:43066", + "issue:43122", + "issue:43408", + "issue:43450", + "issue:43742", + "issue:43937", + "issue:43986", + "issue:44075", + "issue:44117", + "issue:44220", + "issue:44261", + "issue:44263", + "issue:44410", + "issue:44466", + "issue:44484", + "issue:44485", + "issue:44496", + "issue:44779", + "issue:44829", + "issue:44877", + "issue:44933", + "issue:44977", + "issue:45071", + "issue:45081", + "issue:45216", + "issue:45278", + "issue:45310", + "issue:45341", + "issue:45362", + "issue:45478", + "issue:45561", + "issue:45588", + "issue:45656", + "issue:46002", + "issue:46178", + "issue:46209", + "issue:46231", + "issue:46298", + "issue:46328", + "issue:46512", + "issue:46617", + "issue:46762" + ], + "soft_pairs": [ + "issue:44117|issue:45588", + "issue:44466|issue:46002", + "issue:44410|issue:45310", + "issue:39401|issue:44779", + "issue:43937|issue:44977", + "issue:45071|issue:46512", + "issue:45341|issue:45561", + "issue:44829|issue:45216", + "issue:45341|issue:46328", + "issue:43450|issue:43986", + "issue:44117|issue:45081", + "issue:42617|issue:45341", + "issue:38617|issue:41628", + "issue:43408|issue:43742", + "issue:45362|issue:46328", + "issue:43122|issue:46298", + "issue:42222|issue:46178", + "issue:44877|issue:46231", + "issue:44484|issue:45310", + "issue:42371|issue:44261", + "issue:39401|issue:46209", + "issue:43937|issue:44496", + "issue:44410|issue:45478", + "issue:42371|issue:46617", + "issue:38617|issue:44220", + "issue:44261|issue:46762", + "issue:44075|issue:45656", + "issue:44933|issue:45278", + "issue:44263|issue:44485", + "issue:43066|issue:43122" + ], + "prepared_review_unit_hash": "ec5428f8fe301f66ffa841b30ecc56e747f178db8591b5bb8ed2911a365da526", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36326, + "estimated_input_tokens": 9082, + "estimated_eval_tokens": 18420 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are a heterogeneous mix of unrelated bug reports and regressions (tokenizers, imports, model loading, training, config, and docs). None of the soft-edge pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": "If one issue must serve as the cluster anchor, issue 44117 is the most concrete and self-contained: it states a specific failing assumption in `from_pretrained` around `TOKENIZER_MAPPING_NAMES` returning `None` and points to a clear code path.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44117 is the best overall representative because it is precise, actionable, and describes a narrow runtime failure rather than a broad symptom or cosmetic complaint.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44117", + "right": "issue:45588", + "accept": false, + "reason": "Different failures: tokenizer mapping assumptions vs `flash_attention.py` crashing on `s_aux=None`; only broad library/runtime similarity." + }, + { + "left": "issue:44466", + "right": "issue:46002", + "accept": false, + "reason": "Serialization of tied `lm_head.weight` depends on device vs NaNs in classification heads after checkout/init; distinct bugs." + }, + { + "left": "issue:44410", + "right": "issue:45310", + "accept": false, + "reason": "Both involve Qwen3.5/Qwen3next, but one is missing attention projections and the other is a `from_pretrained` load error; not the same code-path." + }, + { + "left": "issue:39401", + "right": "issue:44779", + "accept": false, + "reason": "Different tokenizer bugs for different models: wrong `offset_mapping` vs incorrect tokenization results; not a duplicate." + }, + { + "left": "issue:43937", + "right": "issue:44977", + "accept": false, + "reason": "`GenerationConfig` validation failure vs flash-attention generation misbehavior; separate runtime problems." + }, + { + "left": "issue:45071", + "right": "issue:46512", + "accept": false, + "reason": "`PretrainedConfig` type checking regression vs stale `config.dtype` after `from_config`; related area, different bug." + }, + { + "left": "issue:45341", + "right": "issue:45561", + "accept": false, + "reason": "A small bug in `testing_utils.py` is not the same as an xdist race on `captured_info.txt`." + }, + { + "left": "issue:44829", + "right": "issue:45216", + "accept": false, + "reason": "FA3 training degeneration in sequence classification vs a Qwen3.5 `save_pretrained` regression; different symptoms and paths." + }, + { + "left": "issue:45341", + "right": "issue:46328", + "accept": false, + "reason": "`testing_utils.py` bug vs `SequenceFeatureExtractor.pad` inefficiency; unrelated." + }, + { + "left": "issue:43450", + "right": "issue:43986", + "accept": false, + "reason": "Video processor shape bug vs crash when loading a video model without torchvision; same subsystem, different failure." + }, + { + "left": "issue:44117", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer mapping `None` handling vs `_patch_mistral_regex` backend attribute crash; not the same defect." + }, + { + "left": "issue:42617", + "right": "issue:45341", + "accept": false, + "reason": "`3d_parallel.py` execution failure is unrelated to the `testing_utils.py` bug." + }, + { + "left": "issue:38617", + "right": "issue:41628", + "accept": false, + "reason": "Both are import errors, but they concern different symbols (`layer_type_validation` vs `AutoImageProcessor`) and different code paths." + }, + { + "left": "issue:43408", + "right": "issue:43742", + "accept": false, + "reason": "Model-type warning for `sam3_video` vs key error loading `facebook/MobileLLM-125M`; not duplicates." + }, + { + "left": "issue:45362", + "right": "issue:46328", + "accept": false, + "reason": "Qwen3.5 chat crash vs `SequenceFeatureExtractor.pad` performance issue; unrelated." + }, + { + "left": "issue:43122", + "right": "issue:46298", + "accept": false, + "reason": "Tokenizer behavior change across versions vs noisy logging message; not the same bug." + }, + { + "left": "issue:42222", + "right": "issue:46178", + "accept": false, + "reason": "Broken VitPose models vs missing backend mapping for `tensorflow_text`; different failures in different components." + }, + { + "left": "issue:44877", + "right": "issue:46231", + "accept": false, + "reason": "Strict config loading for `granite_speech` vs a documentation parameter-name mismatch; not duplicates." + }, + { + "left": "issue:44484", + "right": "issue:45310", + "accept": false, + "reason": "Question about `max_shard_size` vs Qwen3.5 MoE load error; unrelated." + }, + { + "left": "issue:42371", + "right": "issue:44261", + "accept": false, + "reason": "TF32 API warning vs missing `rms_norm_eps` causing MLA precision differences; different topics." + }, + { + "left": "issue:39401", + "right": "issue:46209", + "accept": false, + "reason": "Tokenizer `offset_mapping` bug vs FP8 inference failure on B200; unrelated." + }, + { + "left": "issue:43937", + "right": "issue:44496", + "accept": false, + "reason": "Invalid `GenerationConfig` vs unrecognized model type/config schema issue; different root causes." + }, + { + "left": "issue:44410", + "right": "issue:45478", + "accept": false, + "reason": "Missing projections in `qwen3next` vs Qwen3.5 MoE `from_pretrained` error; not the same issue." + }, + { + "left": "issue:42371", + "right": "issue:46617", + "accept": false, + "reason": "TF32 settings warning and cache-file `FileNotFoundError` are unrelated." + }, + { + "left": "issue:38617", + "right": "issue:44220", + "accept": false, + "reason": "ImportError for `layer_type_validation` vs `_torch_extract_fbank_features()` issue; different APIs and failures." + }, + { + "left": "issue:44261", + "right": "issue:46762", + "accept": false, + "reason": "MLA `rms_norm_eps` precision bug vs Minimax MSA numerical differences; both numerical but not the same code path." + }, + { + "left": "issue:44075", + "right": "issue:45656", + "accept": false, + "reason": "SGD args ignored vs optimizer step called twice under deepspeed; distinct optimizer bugs." + }, + { + "left": "issue:44933", + "right": "issue:45278", + "accept": false, + "reason": "Specific missing import from `image_utils` vs broad import errors after upgrade; overlap is too general to be a duplicate." + }, + { + "left": "issue:44263", + "right": "issue:44485", + "accept": false, + "reason": "`torch.split()` return-value issue in `GlmMoeDsaIndexer` vs GLM-5 RoPE implementation discussion; different concrete problems." + }, + { + "left": "issue:43066", + "right": "issue:43122", + "accept": false, + "reason": "Wrong tokenizer decoder type in v5 vs changed tokenization output across versions; related domain, but not the same bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 51, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:27957", + "issue:38617", + "issue:41628", + "issue:42222", + "issue:42757", + "issue:43012", + "issue:43064", + "issue:43097", + "issue:43352", + "issue:43441", + "issue:43452", + "issue:43531", + "issue:43577", + "issue:43673", + "issue:43874", + "issue:43931", + "issue:43986", + "issue:44038", + "issue:44117", + "issue:44261", + "issue:44263", + "issue:44315", + "issue:44360", + "issue:44410", + "issue:44483", + "issue:44484", + "issue:44485", + "issue:44493", + "issue:44829", + "issue:44933", + "issue:44987", + "issue:45003", + "issue:45071", + "issue:45341", + "issue:45372", + "issue:45375", + "issue:45440", + "issue:45464", + "issue:45478", + "issue:45542", + "issue:45588", + "issue:45753", + "issue:46050", + "issue:46123", + "issue:46172", + "issue:46231", + "issue:46369" + ], + "soft_pairs": [ + "issue:43097|issue:44493", + "issue:43673|issue:45341", + "issue:41628|issue:45071", + "issue:42222|issue:45542", + "issue:43931|issue:44410", + "issue:45071|issue:45542", + "issue:44484|issue:45478", + "issue:43012|issue:43577", + "issue:44483|issue:45464", + "issue:44263|issue:46172", + "issue:44360|issue:46172", + "issue:43874|issue:44261", + "issue:43931|issue:44038", + "issue:27957|issue:43352", + "issue:43441|issue:44829", + "issue:43097|issue:43452", + "issue:45003|issue:45341", + "issue:43986|issue:45341", + "issue:44261|issue:44485", + "issue:44933|issue:46231", + "issue:45753|issue:46369", + "issue:44117|issue:44987", + "issue:43531|issue:45341", + "issue:43673|issue:46123", + "issue:43874|issue:44263", + "issue:45440|issue:46172", + "issue:43097|issue:45588", + "issue:43986|issue:45372", + "issue:44410|issue:45375", + "issue:43064|issue:44315", + "issue:43097|issue:46050", + "issue:38617|issue:42757", + "issue:44038|issue:44410", + "issue:43986|issue:44484" + ], + "prepared_review_unit_hash": "e5d34aa388ea477633426860995a5c44e8ad412679fd293567c1f34786c52b78", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 37107, + "estimated_input_tokens": 9277, + "estimated_eval_tokens": 18810 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated bugs/features that only share surface-level Transformers/model terminology. I do not see any soft pair that describes the same underlying defect closely enough to merge.", + "confidence": 0.96, + "canonical_issue_reason": "No true canonical duplicate exists; if forced, issue 43097 is the most central/high-signal report among otherwise heterogeneous issues.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43097 is the broadest and most cited regression here, so it is the best representative issue even though the cluster is not a duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43097", + "right": "issue:44493", + "accept": false, + "reason": "API removal in 5.0 vs unexpected position-id key warnings; different bugs and code paths." + }, + { + "left": "issue:43673", + "right": "issue:45341", + "accept": false, + "reason": "Chunked prefill cache regression vs a testing utility bug; unrelated subsystems." + }, + { + "left": "issue:41628", + "right": "issue:45071", + "accept": false, + "reason": "AutoImageProcessor import failure vs PreTrainedConfig type-checking regression; not the same issue." + }, + { + "left": "issue:42222", + "right": "issue:45542", + "accept": false, + "reason": "Vitpose model breakage vs TensorFlow-backend detection when only tensorboard is installed; different root causes." + }, + { + "left": "issue:43931", + "right": "issue:44410", + "accept": false, + "reason": "Qwen3-VL weight-shape mismatch vs Qwen3next missing projections in layer 0; separate model-loading vs architecture bugs." + }, + { + "left": "issue:45071", + "right": "issue:45542", + "accept": false, + "reason": "Type checking regression in config classes vs undefined tf backend error; unrelated." + }, + { + "left": "issue:44484", + "right": "issue:45478", + "accept": false, + "reason": "save_pretrained shard-size question vs Qwen3.5 MoE from_pretrained failure; not the same defect." + }, + { + "left": "issue:43012", + "right": "issue:43577", + "accept": false, + "reason": "Bfloat16 compilation warning vs BLIP2 dtype staying float32; similar theme but different symptoms and fixes." + }, + { + "left": "issue:44483", + "right": "issue:45464", + "accept": false, + "reason": "Chat/completions request rejection vs streaming inference failure on a specific model; not the same code-path problem." + }, + { + "left": "issue:44263", + "right": "issue:46172", + "accept": false, + "reason": "DSA indexer split return values vs deepseek-v4 transpose bug; different internals." + }, + { + "left": "issue:44360", + "right": "issue:46172", + "accept": false, + "reason": "Missing ReLU in the DSA indexer vs a dtype/transpose issue; unrelated bugs." + }, + { + "left": "issue:43874", + "right": "issue:44261", + "accept": false, + "reason": "Missing get_number_of_image_patches vs missing rms_norm_eps precision issue; different components." + }, + { + "left": "issue:43931", + "right": "issue:44038", + "accept": false, + "reason": "Qwen3-VL weight mismatch vs Qwen3-VL-Moe bug; related family, but not the same failure." + }, + { + "left": "issue:27957", + "right": "issue:43352", + "accept": false, + "reason": "Flash Attention 2 support request for XLMRoberta vs NemotronHForCausalLM; different model-specific support gaps." + }, + { + "left": "issue:43441", + "right": "issue:44829", + "accept": false, + "reason": "FlashAttention support failure vs degenerate training with flash_attention_3; different problems." + }, + { + "left": "issue:43097", + "right": "issue:43452", + "accept": false, + "reason": "Removed tie_embeddings API vs gguf_file loading breakage; unrelated loading/config issues." + }, + { + "left": "issue:45003", + "right": "issue:45341", + "accept": false, + "reason": "Unsafe sys.modules access vs a small testing_utils bug; no shared root cause." + }, + { + "left": "issue:43986", + "right": "issue:45341", + "accept": false, + "reason": "AutoProcessor crash without torchvision vs testing_utils bug; different subsystems." + }, + { + "left": "issue:44261", + "right": "issue:44485", + "accept": false, + "reason": "RMS norm epsilon precision error vs GLM-5 RoPE implementation issue; not the same bug." + }, + { + "left": "issue:44933", + "right": "issue:46231", + "accept": false, + "reason": "Missing image_utils import vs documentation parameter mismatch; unrelated." + }, + { + "left": "issue:45753", + "right": "issue:46369", + "accept": false, + "reason": "Infinite loop on a specific image vs memory overflow in sam3-litetext; different failures." + }, + { + "left": "issue:44117", + "right": "issue:44987", + "accept": false, + "reason": "Tokenizer mapping None handling vs loading failure for physical-intelligence/fast; separate loader bugs." + }, + { + "left": "issue:43531", + "right": "issue:45341", + "accept": false, + "reason": "Qwen3-MoE sliding_window bug vs testing_utils bug; unrelated." + }, + { + "left": "issue:43673", + "right": "issue:46123", + "accept": false, + "reason": "Generation cache missing during chunked prefill vs final partial batch dropping results; different pipeline bugs." + }, + { + "left": "issue:43874", + "right": "issue:44263", + "accept": false, + "reason": "Image patch counting vs torch.split return values; different model utilities." + }, + { + "left": "issue:45440", + "right": "issue:46172", + "accept": false, + "reason": "DeepSeekV3MoE divergence vs deepseek-v4 comb transpose issue; different model versions and code paths." + }, + { + "left": "issue:43097", + "right": "issue:45588", + "accept": false, + "reason": "API removal issue vs flash_attention.py crash on sink-less models; unrelated." + }, + { + "left": "issue:43986", + "right": "issue:45372", + "accept": false, + "reason": "AutoProcessor/video torchvision crash vs ReasoningEffort import error from mistral_common; unrelated import failures." + }, + { + "left": "issue:44410", + "right": "issue:45375", + "accept": false, + "reason": "Missing qkv/gate projections vs missing deepstack_visual_indexes field; different configuration bugs." + }, + { + "left": "issue:43064", + "right": "issue:44315", + "accept": false, + "reason": "Wrong optimizer states under FSDP2/PEFT vs Liger kernel not applied with model_init; different training issues." + }, + { + "left": "issue:43097", + "right": "issue:46050", + "accept": false, + "reason": "5.0 API removal vs quantized model save/load regression; unrelated." + }, + { + "left": "issue:38617", + "right": "issue:42757", + "accept": false, + "reason": "Different missing imports from different libraries/symbols; same symptom class, not same bug." + }, + { + "left": "issue:44038", + "right": "issue:44410", + "accept": false, + "reason": "Qwen3-VL-Moe bug vs qwen3next missing projections; distinct model families and failures." + }, + { + "left": "issue:43986", + "right": "issue:44484", + "accept": false, + "reason": "Torchvision-dependent processor crash vs shard-size question; no common underlying defect." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 52, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:36683", + "issue:38617", + "issue:42890", + "issue:42907", + "issue:43012", + "issue:43066", + "issue:43097", + "issue:43208", + "issue:43352", + "issue:43502", + "issue:43550", + "issue:43582", + "issue:43825", + "issue:43873", + "issue:43906", + "issue:43976", + "issue:43986", + "issue:43992", + "issue:44062", + "issue:44077", + "issue:44117", + "issue:44162", + "issue:44222", + "issue:44351", + "issue:44368", + "issue:44380", + "issue:44484", + "issue:44655", + "issue:44704", + "issue:44936", + "issue:44938", + "issue:45103", + "issue:45478", + "issue:45479", + "issue:45584", + "issue:45712", + "issue:45753", + "issue:46132", + "issue:46172", + "issue:46178", + "issue:46298", + "issue:46365", + "issue:46421", + "issue:46655", + "issue:46664", + "issue:46701", + "issue:46710", + "issue:46752" + ], + "soft_pairs": [ + "issue:46655|issue:46664", + "issue:46298|issue:46752", + "issue:42890|issue:46298", + "issue:46172|issue:46710", + "issue:38617|issue:44351", + "issue:43097|issue:43873", + "issue:44062|issue:44117", + "issue:44117|issue:46701", + "issue:44936|issue:46365", + "issue:43502|issue:43992", + "issue:44704|issue:45103", + "issue:44380|issue:46421", + "issue:43986|issue:44117", + "issue:44938|issue:46178", + "issue:42907|issue:44655", + "issue:42907|issue:45753", + "issue:43208|issue:43550", + "issue:43825|issue:44655", + "issue:43012|issue:43550", + "issue:45712|issue:46298", + "issue:43012|issue:44368", + "issue:43992|issue:44484", + "issue:43066|issue:43906", + "issue:43352|issue:43976", + "issue:43352|issue:44380", + "issue:43097|issue:46298", + "issue:44162|issue:46172", + "issue:44380|issue:46132", + "issue:44077|issue:46365", + "issue:45584|issue:46365", + "issue:44222|issue:45478", + "issue:36683|issue:43582", + "issue:44380|issue:45479" + ], + "prepared_review_unit_hash": "c24a3579f67fd36e449ef6663efa826ae6ac8342ef5679f6d6c73b74ab28dcc2", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 37395, + "estimated_input_tokens": 9349, + "estimated_eval_tokens": 18954 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: it spans unrelated import errors, model-specific regressions, save/load issues, compiler/runtime warnings, and pipeline/tokenizer bugs. None of the soft pairs look like the same underlying bug or change.", + "confidence": 0.39, + "canonical_issue_reason": "Issue 43873 is the most substantial/high-signal report in the set by discussion and inbound references, but the cluster does not actually form a duplicate group; it is only the closest thing to a representative issue.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43873 has the richest reproduction context and broad runtime impact, so it is the best representative candidate among otherwise unrelated issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:46655", + "right": "issue:46664", + "accept": false, + "reason": "Both are SmolVLM video-processor reports, but one is a padding bug and the other is a semantic inconsistency in num_frames." + }, + { + "left": "issue:46298", + "right": "issue:46752", + "accept": false, + "reason": "A noisy logging message and an empty-list apply_chat_template IndexError are unrelated failures." + }, + { + "left": "issue:42890", + "right": "issue:46298", + "accept": false, + "reason": "Missing set_seed in SamHQ tests is unrelated to a logging issue." + }, + { + "left": "issue:46172", + "right": "issue:46710", + "accept": false, + "reason": "DeepSeek-v4 transpose/dtype bug and an accuracy regression after upgrade are different problem types and code paths." + }, + { + "left": "issue:38617", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and different modules." + }, + { + "left": "issue:43097", + "right": "issue:43873", + "accept": false, + "reason": "Removed tie_embeddings_and_encoder_decoder and quantization offloading are separate configuration/runtime issues." + }, + { + "left": "issue:44062", + "right": "issue:44117", + "accept": false, + "reason": "AddedToken keyword collision and TOKENIZER_MAPPING_NAMES returning None are distinct tokenizer initialization bugs." + }, + { + "left": "issue:44117", + "right": "issue:46701", + "accept": false, + "reason": "Tokenizer mapping None handling and DiffusionGemma pipeline failure are unrelated." + }, + { + "left": "issue:44936", + "right": "issue:46365", + "accept": false, + "reason": "Trainer evaluation failure after train is not the same as importing Trainer only after uninstalling datasets." + }, + { + "left": "issue:43502", + "right": "issue:43992", + "accept": false, + "reason": "local_files_only network leakage and a missing embed_tokens.weight in UMT5Encoder are different loading bugs." + }, + { + "left": "issue:44704", + "right": "issue:45103", + "accept": false, + "reason": "AutoProcessor cached_file kwarg forwarding and auto_docstring annotation parsing are unrelated." + }, + { + "left": "issue:44380", + "right": "issue:46421", + "accept": false, + "reason": "GPT2 attention scaling being ignored and cache lazy initialization causing recompilation are different runtime behaviors." + }, + { + "left": "issue:43986", + "right": "issue:44117", + "accept": false, + "reason": "Missing torchvision crash in AutoProcessor is not the same as tokenizer mapping None handling." + }, + { + "left": "issue:44938", + "right": "issue:46178", + "accept": false, + "reason": "Python 3.14 load failure and tensorflow_text backend mapping error are different compatibility/import problems." + }, + { + "left": "issue:42907", + "right": "issue:44655", + "accept": false, + "reason": "Saving dequantized Ministrals/Devstrals and saving Pipeline objects are different save_pretrained failures." + }, + { + "left": "issue:42907", + "right": "issue:45753", + "accept": false, + "reason": "A dequantized-save bug and a Qwen3_5 infinite-loop bug are unrelated." + }, + { + "left": "issue:43208", + "right": "issue:43550", + "accept": false, + "reason": "xLSTM training blockers and Bamba torch.compile SDPA failure are different model/runtime issues." + }, + { + "left": "issue:43825", + "right": "issue:44655", + "accept": false, + "reason": "pipeline() task-support messaging and pipeline object serialization are unrelated." + }, + { + "left": "issue:43012", + "right": "issue:43550", + "accept": false, + "reason": "A bfloat16 compilation warning and a Bamba SDPA compile failure are not the same bug." + }, + { + "left": "issue:45712", + "right": "issue:46298", + "accept": false, + "reason": "Leftover dummy classes and a noisy logging message are separate repo hygiene issues." + }, + { + "left": "issue:43012", + "right": "issue:44368", + "accept": false, + "reason": "PyTorch precision warning and tie_word_embeddings warning are different warnings with different causes." + }, + { + "left": "issue:43992", + "right": "issue:44484", + "accept": false, + "reason": "Missing embed_tokens.weight and max_shard_size default behavior are unrelated save/load concerns." + }, + { + "left": "issue:43066", + "right": "issue:43906", + "accept": false, + "reason": "Tokenizer decoder type bug and a reproduction of another issue are not the same concrete defect." + }, + { + "left": "issue:43352", + "right": "issue:43976", + "accept": false, + "reason": "Flash Attention 2.0 support missing and Python version compatibility are different issues." + }, + { + "left": "issue:43352", + "right": "issue:44380", + "accept": false, + "reason": "NemotronH Flash Attention support and GPT2 attention scaling are separate model-specific problems." + }, + { + "left": "issue:43097", + "right": "issue:46298", + "accept": false, + "reason": "A removed config flag and a noisy logging message do not share the same underlying bug." + }, + { + "left": "issue:44162", + "right": "issue:46172", + "accept": false, + "reason": "ESM2 breakage and DeepSeek transpose/runtime issue are unrelated model bugs." + }, + { + "left": "issue:44380", + "right": "issue:46132", + "accept": false, + "reason": "GPT2 attention scaling and AttentionInterface.register behavior change are different attention-system issues." + }, + { + "left": "issue:44077", + "right": "issue:46365", + "accept": false, + "reason": "patchtsmixer post_init validation and Trainer import failure via datasets are unrelated." + }, + { + "left": "issue:45584", + "right": "issue:46365", + "accept": false, + "reason": "Whisper empty transcription failure and Trainer import conflict are separate bugs." + }, + { + "left": "issue:44222", + "right": "issue:45478", + "accept": false, + "reason": "FP8 save_pretrained failure and Qwen3.5 MoE from_pretrained error are distinct model serialization/loading issues." + }, + { + "left": "issue:36683", + "right": "issue:43582", + "accept": false, + "reason": "Gemma3Config missing vocab_size and Apple Silicon warmup TypeError are unrelated." + }, + { + "left": "issue:44380", + "right": "issue:45479", + "accept": false, + "reason": "Attention scaling ignored in GPT2 and degenerate zero-loss classification are different code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 53, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:29870", + "issue:36010", + "issue:36296", + "issue:36683", + "issue:38617", + "issue:42175", + "issue:42490", + "issue:42757", + "issue:42994", + "issue:43012", + "issue:43064", + "issue:43208", + "issue:43299", + "issue:43352", + "issue:43475", + "issue:43502", + "issue:43525", + "issue:43526", + "issue:43611", + "issue:43618", + "issue:43756", + "issue:43761", + "issue:43824", + "issue:43867", + "issue:43901", + "issue:43937", + "issue:43976", + "issue:43992", + "issue:44038", + "issue:44077", + "issue:44230", + "issue:44380", + "issue:44483", + "issue:44485", + "issue:44492", + "issue:44514", + "issue:44625", + "issue:44655", + "issue:44683", + "issue:44938", + "issue:45216", + "issue:45276", + "issue:45310", + "issue:46077", + "issue:46082", + "issue:46365", + "issue:46369" + ], + "soft_pairs": [ + "issue:42175|issue:46365", + "issue:43064|issue:44380", + "issue:42757|issue:43824", + "issue:42490|issue:43012", + "issue:43012|issue:44683", + "issue:43208|issue:43526", + "issue:44483|issue:44514", + "issue:44038|issue:44230", + "issue:43618|issue:43761", + "issue:43618|issue:44380", + "issue:38617|issue:43502", + "issue:43756|issue:44485", + "issue:42994|issue:44655", + "issue:43299|issue:43867", + "issue:44625|issue:46365", + "issue:45276|issue:46077", + "issue:36683|issue:43475", + "issue:36010|issue:42757", + "issue:43352|issue:43937", + "issue:44483|issue:46369", + "issue:43611|issue:44655", + "issue:43901|issue:44655", + "issue:36683|issue:44077", + "issue:44625|issue:46077", + "issue:43976|issue:44938", + "issue:43867|issue:45216", + "issue:46077|issue:46082", + "issue:43618|issue:45216", + "issue:36683|issue:43525", + "issue:36683|issue:44625", + "issue:29870|issue:36296", + "issue:43992|issue:45310", + "issue:43064|issue:44492" + ], + "prepared_review_unit_hash": "12f27ed1af5f96bccb157f234057ae60162e85e1b53c6fa6e5fa627700a62fb6", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 33, + "serialized_chars": 36677, + "estimated_input_tokens": 9170, + "estimated_eval_tokens": 18596 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No strong duplicate cluster emerges from the soft pairs; they are mostly loose topical matches (imports, save/load, config regressions) rather than the same underlying bug. I\u2019d use the CLIPVisionModel hidden-states regression as the most representative issue in this set.", + "confidence": 0.19, + "canonical_issue_reason": "issue:43618 is the cleanest, most concrete regression report in the set: a single, reproducible v5 behavior change with a clear symptom and target area (CLIP vision outputs).", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43618 is the best issue to anchor this cluster because it is specific, user-facing, and easier to triage than the broader or more ambiguous reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42175", + "right": "issue:46365", + "accept": false, + "reason": "Different failures: packaging/backend dependency gap vs Trainer import resolution problem. Same ecosystem, not the same bug." + }, + { + "left": "issue:43064", + "right": "issue:44380", + "accept": false, + "reason": "Unrelated code paths: distributed optimizer state corruption vs attention-scaling being ignored in specific backends." + }, + { + "left": "issue:42757", + "right": "issue:43824", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols from different packages and likely different fixes." + }, + { + "left": "issue:42490", + "right": "issue:43012", + "accept": false, + "reason": "Different warning types and triggers: local path parsing vs bfloat16 compilation precision warning." + }, + { + "left": "issue:43012", + "right": "issue:44683", + "accept": false, + "reason": "A warning about precision is not the same as a torch>=2.9 flex_attention compile failure." + }, + { + "left": "issue:43208", + "right": "issue:43526", + "accept": false, + "reason": "Different models and subsystems: xLSTM training blockers vs BEiT image processor label reduction bug." + }, + { + "left": "issue:44483", + "right": "issue:44514", + "accept": false, + "reason": "Different surfaces and root causes: chat completions API request validation vs processor chat-template batching crash." + }, + { + "left": "issue:44038", + "right": "issue:44230", + "accept": false, + "reason": "Same broad model family, but one is a loading regression and the other is fp8 inference support; not the same concrete bug." + }, + { + "left": "issue:43618", + "right": "issue:43761", + "accept": false, + "reason": "Both are CLIP regressions, but one is missing attentions and the other is missing hidden_states; separate outputs and fixes." + }, + { + "left": "issue:43618", + "right": "issue:44380", + "accept": false, + "reason": "Completely different problem areas: CLIP output fields vs GPT2 attention-scaling behavior." + }, + { + "left": "issue:38617", + "right": "issue:43502", + "accept": false, + "reason": "ImportError for a utility symbol vs unexpected network calls despite local_files_only=True; unrelated defects." + }, + { + "left": "issue:43756", + "right": "issue:44485", + "accept": false, + "reason": "Both mention RoPE, but they involve different models and different implementation problems." + }, + { + "left": "issue:42994", + "right": "issue:44655", + "accept": false, + "reason": "Save-related issues, but one is quantized model serialization and the other is Pipeline.save_pretrained behavior." + }, + { + "left": "issue:43299", + "right": "issue:43867", + "accept": false, + "reason": "Both affect model loading, but one is a base_model_prefix regression and the other is a state_dict sorting/load error." + }, + { + "left": "issue:44625", + "right": "issue:46365", + "accept": false, + "reason": "Different domains: config propagation for Qwen3.5 vs a Trainer import conflict caused by datasets." + }, + { + "left": "issue:45276", + "right": "issue:46077", + "accept": false, + "reason": "Same model family, but different features: embedding resizing vs bidirectional attention mask construction." + }, + { + "left": "issue:36683", + "right": "issue:43475", + "accept": false, + "reason": "Different models and failures: Gemma3 config missing vocab_size vs SAM3 output missing fpn_position_embeddings." + }, + { + "left": "issue:36010", + "right": "issue:42757", + "accept": false, + "reason": "Both are import errors, but they concern different missing names from different modules with no shared code path." + }, + { + "left": "issue:43352", + "right": "issue:43937", + "accept": false, + "reason": "Different models and distinct validation failures: Flash Attention 2 support vs invalid GenerationConfig." + }, + { + "left": "issue:44483", + "right": "issue:46369", + "accept": false, + "reason": "Unrelated issues: chat completions API rejection vs inability to import Trainer due to datasets." + }, + { + "left": "issue:43611", + "right": "issue:44655", + "accept": false, + "reason": "Loading-model regression vs saving-Pipeline regression; opposite operations and different fixes." + }, + { + "left": "issue:43901", + "right": "issue:44655", + "accept": false, + "reason": "Docs/behavior mismatch for a pipeline option is not the same as Pipeline.save_pretrained failing." + }, + { + "left": "issue:36683", + "right": "issue:44077", + "accept": false, + "reason": "Different models and unrelated config constraints: Gemma3 vocab_size vs patchtsmixer post_init policy." + }, + { + "left": "issue:44625", + "right": "issue:46077", + "accept": false, + "reason": "Different Gemma4/Qwen3.5 configuration bugs; no shared underlying defect." + }, + { + "left": "issue:43976", + "right": "issue:44938", + "accept": false, + "reason": "Both are Python-version compatibility reports, but they target different version ranges and likely distinct breakages." + }, + { + "left": "issue:43867", + "right": "issue:45216", + "accept": false, + "reason": "Different lifecycle stages and symptoms: loading a sorted state_dict vs saving an incorrect checkpoint." + }, + { + "left": "issue:46077", + "right": "issue:46082", + "accept": false, + "reason": "Same broad config area, but one is attention-mask behavior and the other is head_dim validation; not the same bug." + }, + { + "left": "issue:43618", + "right": "issue:45216", + "accept": false, + "reason": "Different models and operations: CLIP output regression vs Qwen3.5 checkpoint-saving regression." + }, + { + "left": "issue:36683", + "right": "issue:43525", + "accept": false, + "reason": "Different models and different missing config attributes; not duplicates." + }, + { + "left": "issue:36683", + "right": "issue:44625", + "accept": false, + "reason": "Gemma3 config bug vs Qwen3.5 num_labels propagation bug; unrelated." + }, + { + "left": "issue:29870", + "right": "issue:36296", + "accept": false, + "reason": "Bart generate mask assignment error vs tensor-parallel training bug are unrelated failures." + }, + { + "left": "issue:43992", + "right": "issue:45310", + "accept": false, + "reason": "Both are from_pretrained issues, but on different models and with different failure modes (missing weight vs loading error)." + }, + { + "left": "issue:43064", + "right": "issue:44492", + "accept": false, + "reason": "Distributed training optimizer bug is unrelated to a typo in cache-strategy text." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 54, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28282", + "issue:29870", + "issue:33453", + "issue:36296", + "issue:36683", + "issue:41669", + "issue:42890", + "issue:42898", + "issue:43010", + "issue:43064", + "issue:43502", + "issue:43575", + "issue:43618", + "issue:43723", + "issue:43824", + "issue:43867", + "issue:43976", + "issue:43992", + "issue:44062", + "issue:44075", + "issue:44077", + "issue:44112", + "issue:44222", + "issue:44246", + "issue:44355", + "issue:44360", + "issue:44387", + "issue:44556", + "issue:44734", + "issue:44855", + "issue:44857", + "issue:44938", + "issue:44964", + "issue:45071", + "issue:45125", + "issue:45278", + "issue:45357", + "issue:45375", + "issue:45440", + "issue:45478", + "issue:45561", + "issue:45600", + "issue:45850", + "issue:46202", + "issue:46285", + "issue:46365", + "issue:46617", + "issue:46664" + ], + "soft_pairs": [ + "issue:43010|issue:45278", + "issue:44075|issue:46365", + "issue:29870|issue:33453", + "issue:44355|issue:44855", + "issue:44938|issue:45071", + "issue:43867|issue:46202", + "issue:36683|issue:43064", + "issue:43867|issue:45375", + "issue:42890|issue:45561", + "issue:41669|issue:44246", + "issue:43010|issue:45850", + "issue:36296|issue:43575", + "issue:43010|issue:43976", + "issue:43618|issue:44077", + "issue:43992|issue:45478", + "issue:43867|issue:45357", + "issue:28282|issue:33453", + "issue:43618|issue:46285", + "issue:43618|issue:44857", + "issue:44360|issue:45440", + "issue:42890|issue:44964", + "issue:42890|issue:44112", + "issue:42890|issue:45600", + "issue:42898|issue:46664", + "issue:43502|issue:44062", + "issue:44734|issue:46617", + "issue:44222|issue:45125", + "issue:43723|issue:44556", + "issue:44387|issue:44556", + "issue:43824|issue:46617" + ], + "prepared_review_unit_hash": "c46dd4928260db9a8d7e4d8bbbe7f0990b06fd5983580fa04b9a75c46610f563", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36376, + "estimated_input_tokens": 9094, + "estimated_eval_tokens": 18444 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of superficially similar but distinct issue reports across import/loading regressions, tokenizer/config bugs, training/TP issues, and flaky tests. I do not see any pair that looks like the same underlying bug or change, so there is no sensible canonical duplicate target here.", + "confidence": 0.95, + "canonical_issue_reason": "No canonical issue: the items span unrelated problems across loading, config, tokenization, training, serving, and test flakiness.", + "canonical_pr_reason": "No PRs in this cluster.", + "best_issue_reason": "No single issue is a good global duplicate target; the overlap is mostly broad wording like \"load\" or \"import\" rather than the same concrete failure.", + "best_pr_reason": "No PRs in this cluster.", + "soft_edge_verdicts": [ + { + "left": "issue:43010", + "right": "issue:45278", + "accept": false, + "reason": "Cache/Layer update decoration bug vs broad import regressions after upgrade; different code paths and symptoms." + }, + { + "left": "issue:44075", + "right": "issue:46365", + "accept": false, + "reason": "SGD args being ignored is a training optimizer issue; Trainer import failure tied to datasets is an import/dependency conflict." + }, + { + "left": "issue:29870", + "right": "issue:33453", + "accept": false, + "reason": "BART generate decoder mask bug vs tokenizer loading regression; unrelated model execution paths." + }, + { + "left": "issue:44355", + "right": "issue:44855", + "accept": false, + "reason": "Compiled Python file loading errors vs Python 3.13 DebertaV2 import/parsing failure; not the same bug." + }, + { + "left": "issue:44938", + "right": "issue:45071", + "accept": false, + "reason": "Python 3.14 load failures and PretrainedConfig type-checking regression are different compatibility problems." + }, + { + "left": "issue:43867", + "right": "issue:46202", + "accept": false, + "reason": "State-dict sorting load error vs Gemma pipeline roundtrip on \u2581; unrelated model I/O issues." + }, + { + "left": "issue:36683", + "right": "issue:43064", + "accept": false, + "reason": "Missing Gemma3Config vocab_size vs wrong optimizer states under FSDP2+PEFT; distinct bugs." + }, + { + "left": "issue:43867", + "right": "issue:45375", + "accept": false, + "reason": "Load failure on sorted state_dict vs missing Qwen3_5MoeVisionConfig field; different failure modes." + }, + { + "left": "issue:42890", + "right": "issue:45561", + "accept": false, + "reason": "Both are test flakiness, but one is missing set_seed in SamHQ tests and the other is an xdist race on captured_info.txt." + }, + { + "left": "issue:41669", + "right": "issue:44246", + "accept": false, + "reason": "Import * slowdown in models and intermittent import-transformers slowness are both performance-related, but not the same concrete cause." + }, + { + "left": "issue:43010", + "right": "issue:45850", + "accept": false, + "reason": "A specific no_grad decoration bug is not the same as the broad claim that v5 breaks too many models." + }, + { + "left": "issue:36296", + "right": "issue:43575", + "accept": false, + "reason": "Tensor-parallel training bug vs OOM when loading a specific TP model; similar area, different underlying problem." + }, + { + "left": "issue:43010", + "right": "issue:43976", + "accept": false, + "reason": "No_grad cache update bug is unrelated to Python version compatibility for Transformers 5.1.0." + }, + { + "left": "issue:43618", + "right": "issue:44077", + "accept": false, + "reason": "Missing CLIP attentions field vs patchtsmixer post_init policy; different models and fixes." + }, + { + "left": "issue:43992", + "right": "issue:45478", + "accept": false, + "reason": "UMT5Encoder missing embed_tokens.weight vs Qwen3.5 MoE from_pretrained error; both loading-related, but not the same bug." + }, + { + "left": "issue:43867", + "right": "issue:45357", + "accept": false, + "reason": "Load error when state_dict is sorted vs incorrect visual encoder keys on save_pretrained; save-side and load-side bugs differ." + }, + { + "left": "issue:28282", + "right": "issue:33453", + "accept": false, + "reason": "PyTorch-missing ImportError vs tokenizer loading regression; unrelated failures." + }, + { + "left": "issue:43618", + "right": "issue:46285", + "accept": false, + "reason": "Both mention CLIP, but one is missing attentions assignment and the other is an inconsistent class structure in v5.6." + }, + { + "left": "issue:43618", + "right": "issue:44857", + "accept": false, + "reason": "CLIP attentions regression and LwDetr AMP crash are unrelated issues." + }, + { + "left": "issue:44360", + "right": "issue:45440", + "accept": false, + "reason": "DSA indexer ReLU discussion vs DeepseekV3MoE divergence from remote implementation; not the same bug." + }, + { + "left": "issue:42890", + "right": "issue:44964", + "accept": false, + "reason": "Seed-related test flakiness is unrelated to loading Phi-4 multimodal with latest transformers." + }, + { + "left": "issue:42890", + "right": "issue:44112", + "accept": false, + "reason": "Missing set_seed in SamHQ tests vs GraniteSpeech stale device override test race; both CI issues, different causes." + }, + { + "left": "issue:42890", + "right": "issue:45600", + "accept": false, + "reason": "SamHQ seeding flake vs auto_mappings referencing removed configs; different files and failures." + }, + { + "left": "issue:42898", + "right": "issue:46664", + "accept": false, + "reason": "Tokenization_spaces behavior change vs SmolVLM num_frames meaning mismatch; both API semantics, but not the same change." + }, + { + "left": "issue:43502", + "right": "issue:44062", + "accept": false, + "reason": "local_files_only still causing API requests is a network/privacy bug; AddedToken keyword collision is a tokenizer construction bug." + }, + { + "left": "issue:44734", + "right": "issue:46617", + "accept": false, + "reason": "KV-cache continuation tensor indexing crash vs FileNotFoundError loading trust_remote_code model from cache; different subsystems." + }, + { + "left": "issue:44222", + "right": "issue:45125", + "accept": false, + "reason": "FP8 save_pretrained for MoE vs missing _tp_plan for tensor parallelism; unrelated model support gaps." + }, + { + "left": "issue:43723", + "right": "issue:44556", + "accept": false, + "reason": "Tokenizer.from_pretrained regression in v5 vs checkpoint reload incompatibility after upgrading from v4.57; both loading-related but not the same defect." + }, + { + "left": "issue:44387", + "right": "issue:44556", + "accept": false, + "reason": "Int4 quantization OOM from reserved memory growth vs checkpoint reload failure after upgrade; different symptoms and fixes." + }, + { + "left": "issue:43824", + "right": "issue:46617", + "accept": false, + "reason": "Missing Qwen2_5_VLForConditionalGeneration import vs cache FileNotFoundError for trust_remote_code; unrelated import vs filesystem issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 55, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:29870", + "issue:30333", + "issue:30990", + "issue:31795", + "issue:33453", + "issue:34689", + "issue:36296", + "issue:38617", + "issue:41628", + "issue:42548", + "issue:42757", + "issue:43010", + "issue:43065", + "issue:43232", + "issue:43299", + "issue:43475", + "issue:43502", + "issue:43576", + "issue:43824", + "issue:43827", + "issue:43874", + "issue:43901", + "issue:44222", + "issue:44230", + "issue:44315", + "issue:44351", + "issue:44355", + "issue:44360", + "issue:44485", + "issue:44556", + "issue:44655", + "issue:44749", + "issue:44908", + "issue:44938", + "issue:44961", + "issue:45071", + "issue:45125", + "issue:45375", + "issue:45468", + "issue:45478", + "issue:46132", + "issue:46143", + "issue:46144", + "issue:46209", + "issue:46617", + "issue:46664", + "issue:46726" + ], + "soft_pairs": [ + "issue:43010|issue:43065", + "issue:43502|issue:44485", + "issue:43874|issue:46617", + "issue:43576|issue:46132", + "issue:45125|issue:45478", + "issue:30333|issue:33453", + "issue:44355|issue:44749", + "issue:42548|issue:44351", + "issue:45125|issue:45375", + "issue:43010|issue:43232", + "issue:46664|issue:46726", + "issue:30990|issue:31795", + "issue:43502|issue:44961", + "issue:43502|issue:44222", + "issue:43827|issue:44961", + "issue:30333|issue:36296", + "issue:29870|issue:31795", + "issue:43299|issue:44556", + "issue:44355|issue:45071", + "issue:33453|issue:34689", + "issue:44355|issue:44655", + "issue:42757|issue:43576", + "issue:43576|issue:45071", + "issue:44315|issue:44360", + "issue:31795|issue:38617", + "issue:43576|issue:43824", + "issue:44961|issue:45468", + "issue:44351|issue:46617", + "issue:44485|issue:44961", + "issue:36296|issue:43901", + "issue:44908|issue:44961", + "issue:43576|issue:44938", + "issue:46143|issue:46144", + "issue:43475|issue:46617", + "issue:44222|issue:44230", + "issue:41628|issue:42548", + "issue:44315|issue:46209", + "issue:44485|issue:46664" + ], + "prepared_review_unit_hash": "b4b79f1d061beff8b89df50920acab1de5f3c5da4c6db6316e3d1eefe4c01f97", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 38, + "serialized_chars": 37958, + "estimated_input_tokens": 9490, + "estimated_eval_tokens": 19236 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The set is mostly a collection of unrelated issues with only loose topical similarity. None of the soft pairs are close enough to treat as the same underlying bug/change, and there are no PRs to evaluate.", + "confidence": 0.89, + "canonical_issue_reason": "issue:46144 is the most concrete and actionable item among the set, with a clearly scoped RoFormer attention-interface problem and an open report that could anchor related investigation.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:46144 is the best standalone issue because it is specific, implementation-facing, and easy to triage compared with broader or more ambiguous reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43010", + "right": "issue:43065", + "accept": false, + "reason": "Different subsystems and bugs: cache/layer update no_grad vs SAM3 pixel decoder dummy Conv2d." + }, + { + "left": "issue:43502", + "right": "issue:44485", + "accept": false, + "reason": "Unrelated problems: local_files_only network leakage vs GLM-5 RoPE implementation." + }, + { + "left": "issue:43874", + "right": "issue:46617", + "accept": false, + "reason": "Both involve loading, but one is a missing image-processor method and the other is a cache file-not-found import path issue." + }, + { + "left": "issue:43576", + "right": "issue:46132", + "accept": false, + "reason": "Broken env command is unrelated to AttentionInterface.register behavior change." + }, + { + "left": "issue:45125", + "right": "issue:45478", + "accept": false, + "reason": "Same model family, but one is missing _tp_plan and the other is a broader from_pretrained regression; not the same concrete defect." + }, + { + "left": "issue:30333", + "right": "issue:33453", + "accept": false, + "reason": "MLflow failure reporting and tokenizer loading regression are unrelated." + }, + { + "left": "issue:44355", + "right": "issue:44749", + "accept": false, + "reason": "Compiled-file errors are unrelated to the performance regression after upgrade." + }, + { + "left": "issue:42548", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but for different symbols and different causes." + }, + { + "left": "issue:45125", + "right": "issue:45375", + "accept": false, + "reason": "Different Qwen3.5 config issues: tensor-parallel plan vs dropped config field." + }, + { + "left": "issue:43010", + "right": "issue:43232", + "accept": false, + "reason": "Generation internals are related, but no clear same bug: no_grad decoration vs sync_gpus update ordering." + }, + { + "left": "issue:46664", + "right": "issue:46726", + "accept": false, + "reason": "Both are processor/vision related, but one is num_frames semantics and the other is missing backend handling." + }, + { + "left": "issue:30990", + "right": "issue:31795", + "accept": false, + "reason": "Loading stall in Sentence Transformers is unrelated to model.forward documentation confusion." + }, + { + "left": "issue:43502", + "right": "issue:44961", + "accept": false, + "reason": "No shared bug: local_files_only network requests vs an unrelated issue named racoon." + }, + { + "left": "issue:43502", + "right": "issue:44222", + "accept": false, + "reason": "Different features: offline loading bug vs FP8 save_pretrained for moe." + }, + { + "left": "issue:43827", + "right": "issue:44961", + "accept": false, + "reason": "Docs referencing pipeline() after removals is unrelated to racoon." + }, + { + "left": "issue:30333", + "right": "issue:36296", + "accept": false, + "reason": "MLflow reporting failure and tensor-parallel training bug are different issues." + }, + { + "left": "issue:29870", + "right": "issue:31795", + "accept": false, + "reason": "BART generate() UnboundLocalError is unrelated to documentation confusion in model.forward." + }, + { + "left": "issue:43299", + "right": "issue:44556", + "accept": false, + "reason": "Both are version/loading regressions, but for different model families and failure modes." + }, + { + "left": "issue:44355", + "right": "issue:45071", + "accept": false, + "reason": "Compiled Python load errors are unrelated to PreTrainedConfig type-checking changes." + }, + { + "left": "issue:33453", + "right": "issue:34689", + "accept": false, + "reason": "Tokenizer loading regression and Llama 3.2 Vision model-loading breakage are not the same bug." + }, + { + "left": "issue:44355", + "right": "issue:44655", + "accept": false, + "reason": "Compiled-file execution errors are unrelated to saving Pipeline objects." + }, + { + "left": "issue:42757", + "right": "issue:43576", + "accept": false, + "reason": "Importing is_offline_mode from huggingface_hub is unrelated to the v5 env command regression." + }, + { + "left": "issue:43576", + "right": "issue:45071", + "accept": false, + "reason": "Broken env command and PretrainedConfig type checking are unrelated changes." + }, + { + "left": "issue:44315", + "right": "issue:44360", + "accept": false, + "reason": "Liger Kernel application and DSA indexer ReLU discussion are unrelated." + }, + { + "left": "issue:31795", + "right": "issue:38617", + "accept": false, + "reason": "Documentation confusion does not match the layer_type_validation import error." + }, + { + "left": "issue:43576", + "right": "issue:43824", + "accept": false, + "reason": "The env CLI breakage is unrelated to the Qwen2.5-VL import error." + }, + { + "left": "issue:44961", + "right": "issue:45468", + "accept": false, + "reason": "Unrelated issues: racoon vs Gemma-4 audio positional encoding." + }, + { + "left": "issue:44351", + "right": "issue:46617", + "accept": false, + "reason": "Both mention import/loading, but HybridCache import failure and cache FileNotFoundError are different causes." + }, + { + "left": "issue:44485", + "right": "issue:44961", + "accept": false, + "reason": "GLM-5 RoPE implementation is unrelated to racoon." + }, + { + "left": "issue:36296", + "right": "issue:43901", + "accept": false, + "reason": "Tensor parallel training bug and text-classification docs mismatch are unrelated." + }, + { + "left": "issue:44908", + "right": "issue:44961", + "accept": false, + "reason": "Scheduler kwargs bug is unrelated to racoon." + }, + { + "left": "issue:43576", + "right": "issue:44938", + "accept": false, + "reason": "Broken env command and Python 3.14 load failure are different problems." + }, + { + "left": "issue:46143", + "right": "issue:46144", + "accept": false, + "reason": "Related RoFormer area, but one is kwargs propagation and the other is attention-interface integration; not the same concrete defect." + }, + { + "left": "issue:43475", + "right": "issue:46617", + "accept": false, + "reason": "SAM3 vision encoder attribute error is unrelated to trust_remote_code cache loading." + }, + { + "left": "issue:44222", + "right": "issue:44230", + "accept": false, + "reason": "Both are FP8-related, but one is save_pretrained support and the other is inference support." + }, + { + "left": "issue:41628", + "right": "issue:42548", + "accept": false, + "reason": "Different import errors for different symbols: AutoImageProcessor vs PreTrainedModel." + }, + { + "left": "issue:44315", + "right": "issue:46209", + "accept": false, + "reason": "Both mention model/runtime behavior, but one is Liger Kernel application and the other is FP8 inference on B200." + }, + { + "left": "issue:44485", + "right": "issue:46664", + "accept": false, + "reason": "GLM-5 RoPE implementation and SmolVLM num_frames semantics are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 56, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:31795", + "issue:33453", + "issue:41669", + "issue:42371", + "issue:42890", + "issue:43352", + "issue:43408", + "issue:43525", + "issue:43572", + "issue:43576", + "issue:43673", + "issue:43827", + "issue:43976", + "issue:44038", + "issue:44077", + "issue:44230", + "issue:44246", + "issue:44273", + "issue:44295", + "issue:44297", + "issue:44315", + "issue:44351", + "issue:44360", + "issue:44393", + "issue:44492", + "issue:44556", + "issue:44623", + "issue:44704", + "issue:44829", + "issue:44861", + "issue:44908", + "issue:45003", + "issue:45071", + "issue:45092", + "issue:45125", + "issue:45230", + "issue:45278", + "issue:45341", + "issue:45362", + "issue:45468", + "issue:45478", + "issue:45542", + "issue:45753", + "issue:45850", + "issue:46095", + "issue:46218", + "issue:46328", + "issue:46664" + ], + "soft_pairs": [ + "issue:45362|issue:45850", + "issue:43673|issue:44492", + "issue:44273|issue:45542", + "issue:44623|issue:45230", + "issue:44360|issue:46664", + "issue:44038|issue:45125", + "issue:44273|issue:45003", + "issue:44393|issue:45071", + "issue:44393|issue:45753", + "issue:43576|issue:44556", + "issue:41669|issue:43673", + "issue:43525|issue:45850", + "issue:43572|issue:45850", + "issue:44556|issue:45092", + "issue:44492|issue:45850", + "issue:45278|issue:45850", + "issue:42371|issue:44492", + "issue:41669|issue:46218", + "issue:44230|issue:46095", + "issue:43408|issue:44315", + "issue:42890|issue:44908", + "issue:44246|issue:44273", + "issue:43576|issue:44908", + "issue:43352|issue:44393", + "issue:43976|issue:44393", + "issue:44704|issue:44908", + "issue:44908|issue:45071", + "issue:44297|issue:45230", + "issue:44295|issue:45230", + "issue:41669|issue:44351", + "issue:44492|issue:46328", + "issue:41669|issue:45341", + "issue:43976|issue:45850", + "issue:44393|issue:45478", + "issue:43976|issue:46218", + "issue:44077|issue:44861", + "issue:43827|issue:44908", + "issue:31795|issue:33453", + "issue:43576|issue:44273", + "issue:44315|issue:44829", + "issue:44360|issue:45468" + ], + "prepared_review_unit_hash": "d78c02605579be828451d5ff015b1d1623f26beb9dba3c936c74050b07244c1e", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 41, + "serialized_chars": 39407, + "estimated_input_tokens": 9852, + "estimated_eval_tokens": 19960 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly a grab bag of unrelated Transformers issues, many of them broad v5-era regressions. None of the soft pairs look like true duplicates of the same concrete bug/change, so all soft edges should be rejected. The most representative umbrella issue is the broad \"v5 breaks too many models\" report.", + "confidence": 0.61, + "canonical_issue_reason": "issue:45850 is the broadest umbrella report in the set and best represents the recurring v5 regression theme across multiple model breakages.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45850 is the best single issue to keep as the cluster representative because it captures the widest shared symptom pattern, even though it is vague.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45362", + "right": "issue:45850", + "accept": false, + "reason": "Specific Qwen3.5 chat crash vs a vague general v5 breakage complaint; not the same bug." + }, + { + "left": "issue:43673", + "right": "issue:44492", + "accept": false, + "reason": "Generation cache/chunked prefill bug and cache-strategy typo are different problems." + }, + { + "left": "issue:44273", + "right": "issue:45542", + "accept": false, + "reason": "Lazy-loading/import behavior is unrelated to the TensorFlow backend error." + }, + { + "left": "issue:44623", + "right": "issue:45230", + "accept": false, + "reason": "Processor save_pretrained missing files is not the same as a generic bug report." + }, + { + "left": "issue:44360", + "right": "issue:46664", + "accept": false, + "reason": "DSA indexer/ReLU discussion is unrelated to SmolVLM num_frames semantics." + }, + { + "left": "issue:44038", + "right": "issue:45125", + "accept": false, + "reason": "Both touch Qwen3 Moe, but one is a model support bug and the other is missing tensor-parallel metadata." + }, + { + "left": "issue:44273", + "right": "issue:45003", + "accept": false, + "reason": "Lazy loading/import slowness is not the same as unsafe sys.modules access." + }, + { + "left": "issue:44393", + "right": "issue:45071", + "accept": false, + "reason": "Qwen3-VL bbox/output issues are unrelated to PretrainedConfig type checking." + }, + { + "left": "issue:44393", + "right": "issue:45753", + "accept": false, + "reason": "Different Qwen3-VL symptoms on different inputs; no clear shared concrete defect." + }, + { + "left": "issue:43576", + "right": "issue:44556", + "accept": false, + "reason": "Broken transformers env command and checkpoint reload failure are different regressions." + }, + { + "left": "issue:41669", + "right": "issue:43673", + "accept": false, + "reason": "Import-* cleanup/import cost issue is unrelated to missing generation cache during chunked prefill." + }, + { + "left": "issue:43525", + "right": "issue:45850", + "accept": false, + "reason": "Missing pad_token_id in Llama4Config is a specific config regression, not the broad model-breakage umbrella." + }, + { + "left": "issue:43572", + "right": "issue:45850", + "accept": false, + "reason": "StableLmConfig pad_token_idx regression is specific and not the same as the generic v5 breakage report." + }, + { + "left": "issue:44556", + "right": "issue:45092", + "accept": false, + "reason": "Both concern loading old checkpoints after v5, but one is a broad reload regression and the other is a specific InternVL2/meta-init incompatibility." + }, + { + "left": "issue:44492", + "right": "issue:45850", + "accept": false, + "reason": "A cache-strategy typo is not the same underlying bug as broad model breakage." + }, + { + "left": "issue:45278", + "right": "issue:45850", + "accept": false, + "reason": "Many import errors after upgrade is a broad symptom report, but not the same concrete issue as the general v5 model-breakage complaint." + }, + { + "left": "issue:42371", + "right": "issue:44492", + "accept": false, + "reason": "TF32 behavior settings and a cache-strategy typo are unrelated." + }, + { + "left": "issue:41669", + "right": "issue:46218", + "accept": false, + "reason": "Import-time package bloat/cleanup is not the same as failing to import Qwen3_5ForCausalLM." + }, + { + "left": "issue:44230", + "right": "issue:46095", + "accept": false, + "reason": "FP8 inference support for Qwen3-VL/Moe and a DeepSeek weight-conversion question are different topics." + }, + { + "left": "issue:43408", + "right": "issue:44315", + "accept": false, + "reason": "sam3 tracker/model-type warning and Liger Kernel application under model_init are unrelated." + }, + { + "left": "issue:42890", + "right": "issue:44908", + "accept": false, + "reason": "Missing set_seed in tests and inverse_sqrt scheduler kwargs handling are unrelated." + }, + { + "left": "issue:44246", + "right": "issue:44273", + "accept": false, + "reason": "Slow imports and broken lazy loading overlap thematically, but the reports do not describe the same concrete defect." + }, + { + "left": "issue:43576", + "right": "issue:44908", + "accept": false, + "reason": "Broken env command and scheduler kwargs bug are unrelated." + }, + { + "left": "issue:43352", + "right": "issue:44393", + "accept": false, + "reason": "Flash Attention 2 support limitation for Nemotron and Qwen3-VL bbox errors are different model bugs." + }, + { + "left": "issue:43976", + "right": "issue:44393", + "accept": false, + "reason": "Python version compatibility problem and Qwen3-VL output bug are unrelated." + }, + { + "left": "issue:44704", + "right": "issue:44908", + "accept": false, + "reason": "AutoProcessor kwargs forwarding and scheduler kwargs handling are different code paths." + }, + { + "left": "issue:44908", + "right": "issue:45071", + "accept": false, + "reason": "Scheduler kwargs are unrelated to PretrainedConfig type checking." + }, + { + "left": "issue:44297", + "right": "issue:45230", + "accept": false, + "reason": "Tokenizer save_pretrained metadata mismatch is not a generic bug report duplicate." + }, + { + "left": "issue:44295", + "right": "issue:45230", + "accept": false, + "reason": "position_ids buffer access error is unrelated to the generic bug report." + }, + { + "left": "issue:41669", + "right": "issue:44351", + "accept": false, + "reason": "Import-* cleanup/performance and HybridCache import failure are different issues." + }, + { + "left": "issue:44492", + "right": "issue:46328", + "accept": false, + "reason": "Cache strategy typo and SequenceFeatureExtractor.pad performance bug are unrelated." + }, + { + "left": "issue:41669", + "right": "issue:45341", + "accept": false, + "reason": "Import cleanup/performance is unrelated to a testing_utils bug." + }, + { + "left": "issue:43976", + "right": "issue:45850", + "accept": false, + "reason": "Python compatibility breakage is not the same as broad model regressions." + }, + { + "left": "issue:44393", + "right": "issue:45478", + "accept": false, + "reason": "Different Qwen3 model families and different failure modes; not one concrete bug." + }, + { + "left": "issue:43976", + "right": "issue:46218", + "accept": false, + "reason": "Python version incompatibility and import failure for a model module are not duplicates." + }, + { + "left": "issue:44077", + "right": "issue:44861", + "accept": false, + "reason": "Optional post_init policy and tied-weights key AttributeError are unrelated." + }, + { + "left": "issue:43827", + "right": "issue:44908", + "accept": false, + "reason": "Documentation still mentioning pipeline() and scheduler kwargs handling are unrelated." + }, + { + "left": "issue:31795", + "right": "issue:33453", + "accept": false, + "reason": "Documentation confusion in model.forward is unrelated to tokenizer loading regression." + }, + { + "left": "issue:43576", + "right": "issue:44273", + "accept": false, + "reason": "Broken env command and lazy loading regression are different issues." + }, + { + "left": "issue:44315", + "right": "issue:44829", + "accept": false, + "reason": "Liger Kernel not applied with model_init and degenerate flash_attention_3 training are different code-path problems." + }, + { + "left": "issue:44360", + "right": "issue:45468", + "accept": false, + "reason": "DSA indexer discussion is unrelated to Gemma4AudioRelPositionalEncoding." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 57, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:28348", + "issue:29870", + "issue:30333", + "issue:31515", + "issue:31795", + "issue:34689", + "issue:36296", + "issue:38617", + "issue:41669", + "issue:42371", + "issue:42913", + "issue:43066", + "issue:43298", + "issue:43352", + "issue:43502", + "issue:43519", + "issue:43525", + "issue:43572", + "issue:43576", + "issue:43606", + "issue:43618", + "issue:43704", + "issue:43717", + "issue:44230", + "issue:44261", + "issue:44263", + "issue:44273", + "issue:44351", + "issue:44485", + "issue:44492", + "issue:44623", + "issue:44655", + "issue:44861", + "issue:44908", + "issue:44938", + "issue:44998", + "issue:45230", + "issue:45250", + "issue:45290", + "issue:45310", + "issue:45468", + "issue:45850", + "issue:46018", + "issue:46095", + "issue:46144", + "issue:46172", + "issue:46218", + "issue:46655" + ], + "soft_pairs": [ + "issue:43519|issue:46655", + "issue:44273|issue:44908", + "issue:44655|issue:44861", + "issue:43576|issue:46218", + "issue:45230|issue:45310", + "issue:43519|issue:44485", + "issue:43519|issue:44908", + "issue:41669|issue:43704", + "issue:31795|issue:34689", + "issue:46018|issue:46172", + "issue:43704|issue:44485", + "issue:44485|issue:45468", + "issue:43502|issue:43519", + "issue:45850|issue:46218", + "issue:42371|issue:43704", + "issue:43519|issue:44623", + "issue:43606|issue:45468", + "issue:44263|issue:45468", + "issue:44261|issue:45468", + "issue:43298|issue:46095", + "issue:43519|issue:43704", + "issue:44351|issue:46218", + "issue:43352|issue:46218", + "issue:42913|issue:43066", + "issue:28348|issue:45250", + "issue:44908|issue:44998", + "issue:44492|issue:44998", + "issue:43618|issue:44998", + "issue:44998|issue:45850", + "issue:44938|issue:44998", + "issue:44861|issue:45290", + "issue:31515|issue:38617", + "issue:43525|issue:44861", + "issue:43572|issue:44861", + "issue:44230|issue:44623", + "issue:28348|issue:43352", + "issue:29870|issue:31515", + "issue:30333|issue:31515", + "issue:31515|issue:36296", + "issue:31515|issue:31795", + "issue:44230|issue:45310", + "issue:43298|issue:44230", + "issue:43717|issue:46144" + ], + "prepared_review_unit_hash": "6d87cb441e9e97e35e8040de6e3ada4ac334b37604be754504f09d3570660292", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 43, + "serialized_chars": 39682, + "estimated_input_tokens": 9921, + "estimated_eval_tokens": 20098 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous and does not contain a safe duplicate set. A few soft pairs share broad themes (tokenizer v5 regressions, loading/import issues, processor bugs), but they point to different code paths and should not be merged. Issue 43519 is the most central representative among the issue candidates, but still not an exact duplicate anchor.", + "confidence": 0.22, + "canonical_issue_reason": "issue:43519 is the most connected and concrete issue in this cluster, with the largest number of soft-similarity links; it is a specific, actionable bug report rather than a vague or off-topic item.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43519 best represents the cluster\u2019s limited overlap because it is specific and central, but the surrounding issues are too diverse for it to serve as a true duplicate canonical with high confidence.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43519", + "right": "issue:46655", + "accept": false, + "reason": "Both are processor-related bugs, but one is a timestamp calculation problem and the other is a video padding calculation issue; different code paths." + }, + { + "left": "issue:44273", + "right": "issue:44908", + "accept": false, + "reason": "Lazy loading failure and inverse_sqrt scheduler kwargs are unrelated subsystems." + }, + { + "left": "issue:44655", + "right": "issue:44861", + "accept": false, + "reason": "Pipeline save_pretrained failure is not the same bug as _get_tied_weight_keys crashing on list-valued metadata." + }, + { + "left": "issue:43576", + "right": "issue:46218", + "accept": false, + "reason": "Both mention v5 import/load issues, but one is an env command regression and the other is a specific module import error for Qwen3_5; not the same defect." + }, + { + "left": "issue:45230", + "right": "issue:45310", + "accept": false, + "reason": "A generic bug report is too broad to equate with a specific Qwen3.5 MoE from_pretrained failure." + }, + { + "left": "issue:43519", + "right": "issue:44485", + "accept": false, + "reason": "Processor timestamp math and GLM-5 RoPE implementation are different model components and bugs." + }, + { + "left": "issue:43519", + "right": "issue:44908", + "accept": false, + "reason": "Processor timestamp handling and scheduler keyword propagation are unrelated." + }, + { + "left": "issue:41669", + "right": "issue:43704", + "accept": false, + "reason": "Import-star cleanup and a VRAM leak under dataloader threads are unrelated." + }, + { + "left": "issue:31795", + "right": "issue:34689", + "accept": false, + "reason": "Documentation confusion about forward args is not the same as a model-loading breakage." + }, + { + "left": "issue:46018", + "right": "issue:46172", + "accept": false, + "reason": "Both touch DeepSeek-V4, but shared expert gating and a comb.to(dtype).transpose bug are different concrete problems." + }, + { + "left": "issue:43704", + "right": "issue:44485", + "accept": false, + "reason": "VRAM leak in Qwen3ForCausalLM and GLM-5 RoPE implementation do not share the same code path." + }, + { + "left": "issue:44485", + "right": "issue:45468", + "accept": false, + "reason": "Different model families and different positional-encoding implementations." + }, + { + "left": "issue:43502", + "right": "issue:43519", + "accept": false, + "reason": "Local-files-only network leakage and processor timestamp calculation are unrelated." + }, + { + "left": "issue:45850", + "right": "issue:46218", + "accept": false, + "reason": "A broad complaint that 5.0 breaks many models is not the same bug as a specific Qwen3_5 import failure." + }, + { + "left": "issue:42371", + "right": "issue:43704", + "accept": false, + "reason": "TF32 configuration guidance and a VRAM leak are unrelated." + }, + { + "left": "issue:43519", + "right": "issue:44623", + "accept": false, + "reason": "Both involve processor code, but timestamp calculation and missing save_pretrained files are distinct failures." + }, + { + "left": "issue:43606", + "right": "issue:45468", + "accept": false, + "reason": "CPU offload device mismatch and Gemma-4 audio positional encoding are unrelated." + }, + { + "left": "issue:44263", + "right": "issue:45468", + "accept": false, + "reason": "torch.split return handling in GlmMoeDsaIndexer is unrelated to Gemma-4 audio encoding." + }, + { + "left": "issue:44261", + "right": "issue:45468", + "accept": false, + "reason": "MLA q_a_layernorm precision/config issue and Gemma-4 audio encoding are different bugs." + }, + { + "left": "issue:43298", + "right": "issue:46095", + "accept": false, + "reason": "Continuous batching support for audio models and a DeepSeek-V4 weight-conversion question are unrelated." + }, + { + "left": "issue:43519", + "right": "issue:43704", + "accept": false, + "reason": "Processor timestamp logic and multi-thread VRAM leakage are not the same defect." + }, + { + "left": "issue:44351", + "right": "issue:46218", + "accept": false, + "reason": "Missing HybridCache import and missing Qwen3_5ForCausalLM import are both import errors, but for different symbols and likely different root causes." + }, + { + "left": "issue:43352", + "right": "issue:46218", + "accept": false, + "reason": "Flash Attention support gap for NemotronH is unrelated to a Qwen3_5 import error." + }, + { + "left": "issue:42913", + "right": "issue:43066", + "accept": false, + "reason": "Both are tokenizer v5 complaints, but one is a broad behavior difference and the other is a specific decoder-type mismatch; not clearly the same bug." + }, + { + "left": "issue:28348", + "right": "issue:45250", + "accept": false, + "reason": "Both mention Flash Attention 2.0, but one is GPT2-specific support and the other is too generic to assume the same change request." + }, + { + "left": "issue:44908", + "right": "issue:44998", + "accept": false, + "reason": "Scheduler kwargs bug and the unrelated 'Unemployment' issue are not related." + }, + { + "left": "issue:44492", + "right": "issue:44998", + "accept": false, + "reason": "Cache-strategy typo and the unrelated 'Unemployment' issue are not duplicates." + }, + { + "left": "issue:43618", + "right": "issue:44998", + "accept": false, + "reason": "CLIPOutput attentions regression and the unrelated 'Unemployment' issue are not duplicates." + }, + { + "left": "issue:44998", + "right": "issue:45850", + "accept": false, + "reason": "An off-topic issue title is not the same as a broad 5.0 compatibility complaint." + }, + { + "left": "issue:44938", + "right": "issue:44998", + "accept": false, + "reason": "Python 3.14 load failure and the unrelated 'Unemployment' issue are not duplicates." + }, + { + "left": "issue:44861", + "right": "issue:45290", + "accept": false, + "reason": "Tied-weight key crash and chat-template tool-call crash are different failures." + }, + { + "left": "issue:31515", + "right": "issue:38617", + "accept": false, + "reason": "Slow from_pretrained loading and an ImportError for layer_type_validation are unrelated." + }, + { + "left": "issue:43525", + "right": "issue:44861", + "accept": false, + "reason": "Missing pad_token_id in Llama4Config is unrelated to tied-weight key handling." + }, + { + "left": "issue:43572", + "right": "issue:44861", + "accept": false, + "reason": "Missing pad_token_idx in StableLmConfig is unrelated to tied-weight key handling." + }, + { + "left": "issue:44230", + "right": "issue:44623", + "accept": false, + "reason": "FP8 inference support and processor.save_pretrained missing files are unrelated." + }, + { + "left": "issue:28348", + "right": "issue:43352", + "accept": false, + "reason": "Both involve Flash Attention 2.0, but they target different models and different support gaps." + }, + { + "left": "issue:29870", + "right": "issue:31515", + "accept": false, + "reason": "BART generate() decoder mask bug and slow checkpoint loading are unrelated." + }, + { + "left": "issue:30333", + "right": "issue:31515", + "accept": false, + "reason": "MLFlow reporting on failure and slow from_pretrained loading are unrelated." + }, + { + "left": "issue:31515", + "right": "issue:36296", + "accept": false, + "reason": "Slow model loading and tensor-parallel training behavior are different problems." + }, + { + "left": "issue:31515", + "right": "issue:31795", + "accept": false, + "reason": "Load-speed issue and documentation confusion are not the same bug." + }, + { + "left": "issue:44230", + "right": "issue:45310", + "accept": false, + "reason": "FP8 support request and Qwen3.5 MoE from_pretrained error are different issues." + }, + { + "left": "issue:43298", + "right": "issue:44230", + "accept": false, + "reason": "Continuous batching for audio models and Qwen3-VL/Qwen3.5 FP8 support are unrelated features." + }, + { + "left": "issue:43717", + "right": "issue:46144", + "accept": false, + "reason": "Init-weights usage in Mamba models and RoFormer attention-interface work are unrelated." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 23, + "review_unit_index": 58, + "review_unit_count": 58, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-484", + "nodes": [ + "issue:37934", + "issue:42936", + "issue:43240", + "issue:43668", + "issue:43813", + "issue:44031", + "issue:46018", + "issue:46144" + ], + "soft_pairs": [ + "issue:42936|issue:46018", + "issue:43668|issue:44031", + "issue:42936|issue:43240", + "issue:43240|issue:46144", + "issue:42936|issue:44031", + "issue:42936|issue:46144", + "issue:42936|issue:43813", + "issue:43240|issue:43668", + "issue:43668|issue:43813", + "issue:37934|issue:43668", + "issue:42936|issue:43668" + ], + "prepared_review_unit_hash": "c178d6b8e8f7a7484429b7069cc8d212b7d03c5fd32f62f827d9bd0c59ff20f4", + "component_budget": { + "node_count": 484, + "item_count": 484, + "soft_pair_count": 1778, + "serialized_chars": 922409, + "estimated_input_tokens": 230603, + "estimated_eval_tokens": 461462 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 11, + "serialized_chars": 7774, + "estimated_input_tokens": 1944, + "estimated_eval_tokens": 4144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are broadly unrelated model/config/tokenizer bugs, so the cluster does not look like a duplicate set and no soft edge should be merged.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No strong canonical issue stands out because the cluster is heterogeneous; if forced, issue:43240 has the most discussion/inbound references, but it is not a true representative of the others.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42936", + "right": "issue:46018", + "accept": false, + "reason": "Mask2former ignore_value handling and DeepSeek-V4 expert gating are different models and different bugs." + }, + { + "left": "issue:43668", + "right": "issue:44031", + "accept": false, + "reason": "A type-hint mistake in ModernBERTConfig is unrelated to tokenizer regex warning behavior." + }, + { + "left": "issue:42936", + "right": "issue:43240", + "accept": false, + "reason": "One is a missing use of ignore_value; the other is kwargs not being forwarded to a loss function\u2014different code paths." + }, + { + "left": "issue:43240", + "right": "issue:46144", + "accept": false, + "reason": "Loss-kwargs forwarding and RoFormer attention interface usage are unrelated implementation issues." + }, + { + "left": "issue:42936", + "right": "issue:44031", + "accept": false, + "reason": "Mask2former loss masking and tokenizer regex warnings do not describe the same underlying bug." + }, + { + "left": "issue:42936", + "right": "issue:46144", + "accept": false, + "reason": "These target different subsystems: segmentation loss handling versus RoFormer attention implementation." + }, + { + "left": "issue:42936", + "right": "issue:43813", + "accept": false, + "reason": "A missing ignore_value usage is not the same as a typo in a quantization attribute name." + }, + { + "left": "issue:43240", + "right": "issue:43668", + "accept": false, + "reason": "Forwarding kwargs to loss calculation is unrelated to correcting a config type hint." + }, + { + "left": "issue:43668", + "right": "issue:43813", + "accept": false, + "reason": "Incorrect type annotation and attribute-name typo are separate fixes in different modules." + }, + { + "left": "issue:37934", + "right": "issue:43668", + "accept": false, + "reason": "Llama4TextL2Norm/RMS norm question is unrelated to ModernBERTConfig norm_eps typing." + }, + { + "left": "issue:42936", + "right": "issue:43668", + "accept": false, + "reason": "Mask2former ignore_value behavior and ModernBERTConfig type hints are different issues." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 2, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10519-3", + "nodes": [ + "issue:10519", + "issue:11005", + "issue:11307" + ], + "soft_pairs": [ + "issue:10519|issue:11307", + "issue:10519|issue:11005", + "issue:11005|issue:11307" + ], + "prepared_review_unit_hash": "184f22de8cc50aa6dcb7660c4b9638421f4deaada74048ad9a58a4f2e4a6da1b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2875, + "estimated_input_tokens": 719, + "estimated_eval_tokens": 1694 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2875, + "estimated_input_tokens": 719, + "estimated_eval_tokens": 1694 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated closed feature requests: token truncation behavior, ReduceLROnPlateau-like scheduling, and Wav2Vec2 word time offsets. They do not describe the same underlying bug or change, so this cluster should not be merged.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:10519", + "right": "issue:11307", + "accept": false, + "reason": "Different feature areas and code paths: truncation strategy for tokenizers vs Wav2Vec2 word-level timestamps." + }, + { + "left": "issue:10519", + "right": "issue:11005", + "accept": false, + "reason": "Completely unrelated requests: tokenizer truncation behavior vs learning-rate scheduler functionality." + }, + { + "left": "issue:11005", + "right": "issue:11307", + "accept": false, + "reason": "No shared underlying bug/change; one is about plateau scheduling, the other about audio model alignment/timestamps." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 3, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-13244-3", + "nodes": [ + "issue:13244", + "issue:15980", + "issue:16618" + ], + "soft_pairs": [ + "issue:13244|issue:16618", + "issue:15980|issue:16618" + ], + "prepared_review_unit_hash": "8b0d357f4f9cbd2fed7feee4d5f8ae0947765a54955b85975e8bf7942c5d9f6b", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2477, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2477, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues do not look like duplicates: one is about Tapas tokenization parity with TensorFlow, one is about the error message when downloading a private model while logged out, and one is a general model-loading failure for bert-base-uncased. The only plausible overlap is between the last two as generic loading/auth problems, but the titles and problem contexts are still distinct.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 16618 is the broadest and has the most discussion, so it is the best representative issue if one must be chosen, but it is not actually the same bug as the other two.", + "canonical_pr_reason": null, + "best_issue_reason": "16618 is the most central/visible of the three, but the cluster is heterogeneous rather than a true duplicate set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13244", + "right": "issue:16618", + "accept": false, + "reason": "Tokenization mismatch in Tapas vs TensorFlow is a different code path and symptom from a model loading failure." + }, + { + "left": "issue:15980", + "right": "issue:16618", + "accept": false, + "reason": "Both involve model loading, but one is specifically a bad auth/error message for private model downloads while the other is a generic inability to load bert-base-uncased; not the same underlying bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 4, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-26350-2", + "nodes": [ + "issue:26350", + "issue:33260" + ], + "soft_pairs": [ + "issue:26350|issue:33260" + ], + "prepared_review_unit_hash": "0c11564cb760bb23b026859a14b3e12f7c7e3086c926c80acbc75f7ded53b456", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1590, + "estimated_input_tokens": 398, + "estimated_eval_tokens": 1052 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate community feature requests in different areas: Flash Attention 2 support vs GGUF support. They share a broad \u201cadding support for more architectures\u201d framing, but the underlying changes and code paths are unrelated, so this is not a duplicate cluster.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 26350 is the more active and earlier community-tracked request, but it is not the same underlying change as issue 33260; they should not be canonicalized as duplicates of each other.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 26350 has much higher discussion activity and is the more established request in this cluster, so it is the better representative issue if one must be chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:26350", + "right": "issue:33260", + "accept": false, + "reason": "Both are architecture-support feature requests, but one is for Flash Attention 2 and the other for GGUF. They target different subsystems and concrete implementations, so they are not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 5, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-27088-8", + "nodes": [ + "issue:27088", + "issue:28936", + "issue:38435", + "issue:43834", + "issue:44365", + "issue:44370", + "issue:46222", + "issue:46226" + ], + "soft_pairs": [ + "issue:27088|issue:44370", + "issue:27088|issue:44365", + "issue:27088|issue:43834", + "issue:27088|issue:38435", + "issue:27088|issue:28936", + "issue:28936|issue:43834", + "issue:28936|issue:44365", + "issue:28936|issue:38435", + "issue:28936|issue:44370", + "issue:38435|issue:44370", + "issue:38435|issue:44365", + "issue:38435|issue:43834", + "issue:38435|issue:46222", + "issue:38435|issue:46226", + "issue:43834|issue:44370", + "issue:43834|issue:44365", + "issue:43834|issue:46222", + "issue:43834|issue:46226", + "issue:44365|issue:44370", + "issue:44365|issue:46222", + "issue:44365|issue:46226", + "issue:44370|issue:46222", + "issue:44370|issue:46226", + "issue:46222|issue:46226" + ], + "prepared_review_unit_hash": "73dd86a6ff74709fc304d896a8922ae60a62d68b98b5c85f69f194db69fd294c", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 24, + "serialized_chars": 13529, + "estimated_input_tokens": 3383, + "estimated_eval_tokens": 7022 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 24, + "serialized_chars": 13529, + "estimated_input_tokens": 3383, + "estimated_eval_tokens": 7022 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Mostly i18n issue-template noise. I would only merge the exact same-title duplicates within each mini-group; the language-specific translation requests are distinct and should stay separate. No pull requests are present.", + "confidence": 0.69, + "canonical_issue_reason": "issue:43834 is the best canonical representative of the main i18n template cluster: it is the earliest of the near-verbatim placeholder issues and has the clearest generic title, with issue:44365 and issue:44370 looking like duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43834 is the strongest global issue candidate because it is the most central/representative of the repeated translation-template reports. The other language-specific translation issues are not true duplicates, and issue:46222/issue:46226 form a separate exact-duplicate pair rather than replacing this one.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:27088", + "right": "issue:44370", + "accept": false, + "reason": "Different language request (Turkish vs generic placeholder); similar i18n boilerplate is not enough to call it the same issue." + }, + { + "left": "issue:27088", + "right": "issue:44365", + "accept": false, + "reason": "Different language request; these read as separate translation tasks, not the same underlying issue." + }, + { + "left": "issue:27088", + "right": "issue:43834", + "accept": false, + "reason": "Turkish translation issue vs generic placeholder issue; too little evidence that they are the same report." + }, + { + "left": "issue:27088", + "right": "issue:38435", + "accept": false, + "reason": "Different target languages (Turkish vs Romanian) and thus different issues." + }, + { + "left": "issue:27088", + "right": "issue:28936", + "accept": false, + "reason": "Turkish vs Spanish translation requests are distinct issues." + }, + { + "left": "issue:28936", + "right": "issue:43834", + "accept": false, + "reason": "Spanish translation request is not the same as the generic placeholder issue." + }, + { + "left": "issue:28936", + "right": "issue:44365", + "accept": false, + "reason": "Spanish vs placeholder/generic issue; likely related topic, but not the same underlying report." + }, + { + "left": "issue:28936", + "right": "issue:38435", + "accept": false, + "reason": "Different language targets (Spanish vs Romanian), so not duplicates." + }, + { + "left": "issue:28936", + "right": "issue:44370", + "accept": false, + "reason": "Spanish translation request and generic placeholder issue are not clearly the same bug/change." + }, + { + "left": "issue:38435", + "right": "issue:44370", + "accept": false, + "reason": "Romanian translation request is distinct from the generic placeholder issue." + }, + { + "left": "issue:38435", + "right": "issue:44365", + "accept": false, + "reason": "Romanian translation request is not the same as the generic placeholder issue." + }, + { + "left": "issue:38435", + "right": "issue:43834", + "accept": false, + "reason": "Romanian-specific translation issue vs generic placeholder; too broad to merge." + }, + { + "left": "issue:38435", + "right": "issue:46222", + "accept": false, + "reason": "Different titles and likely different underlying reports; only boilerplate similarity is visible." + }, + { + "left": "issue:38435", + "right": "issue:46226", + "accept": false, + "reason": "Different titles and no concrete evidence they describe the same issue." + }, + { + "left": "issue:43834", + "right": "issue:44370", + "accept": true, + "reason": "Near-verbatim duplicate generic i18n template issue with the same title pattern and extremely high body similarity." + }, + { + "left": "issue:43834", + "right": "issue:44365", + "accept": true, + "reason": "Looks like the same placeholder issue copied/reposted; title and body are effectively identical." + }, + { + "left": "issue:43834", + "right": "issue:46222", + "accept": false, + "reason": "Titles differ completely and there is no clear evidence they are the same underlying issue." + }, + { + "left": "issue:43834", + "right": "issue:46226", + "accept": false, + "reason": "Different title/content pattern; too risky to merge as duplicates." + }, + { + "left": "issue:44365", + "right": "issue:44370", + "accept": true, + "reason": "These look like exact duplicate reposts of the same generic i18n translation issue." + }, + { + "left": "issue:44365", + "right": "issue:46222", + "accept": false, + "reason": "Not enough evidence of the same underlying issue; the titles point to different reports." + }, + { + "left": "issue:44365", + "right": "issue:46226", + "accept": false, + "reason": "Different titles and no concrete code-path or task match." + }, + { + "left": "issue:44370", + "right": "issue:46222", + "accept": false, + "reason": "Similarity is only from boilerplate; the reports themselves do not appear to be the same." + }, + { + "left": "issue:44370", + "right": "issue:46226", + "accept": false, + "reason": "Different underlying reports; the shared template text is insufficient." + }, + { + "left": "issue:46222", + "right": "issue:46226", + "accept": true, + "reason": "Identical Thai title and perfect similarity make this look like a straight duplicate." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet. The duplicate calls among issue:43834, issue:44365, and issue:44370 are supported by identical titles and very high similarity scores, and issue:46222|issue:46226 is clearly an exact-duplicate pair. The analyst is also conservative in keeping the language-specific translation requests separate despite high template similarity. No pull-request pair assessment is needed because none are present." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 6, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-36817-18", + "nodes": [ + "issue:36817", + "issue:36879", + "issue:37015", + "issue:41115", + "issue:41211", + "issue:42503", + "issue:42738", + "issue:43671", + "issue:43837", + "issue:43909", + "issue:44121", + "issue:44205", + "issue:45027", + "issue:45177", + "issue:45322", + "issue:46133", + "issue:46645", + "issue:46653" + ], + "soft_pairs": [ + "issue:36817|issue:41211", + "issue:36817|issue:43671", + "issue:36817|issue:36879", + "issue:36879|issue:41211", + "issue:36879|issue:43909", + "issue:36879|issue:44121", + "issue:36879|issue:43837", + "issue:36879|issue:43671", + "issue:37015|issue:43837", + "issue:37015|issue:44121", + "issue:37015|issue:43909", + "issue:36879|issue:37015", + "issue:37015|issue:42503", + "issue:41115|issue:43837", + "issue:41115|issue:44121", + "issue:41115|issue:42503", + "issue:41115|issue:45027", + "issue:41211|issue:43671", + "issue:42503|issue:43837", + "issue:42503|issue:43671", + "issue:42503|issue:42738", + "issue:42738|issue:45027", + "issue:42738|issue:46653", + "issue:43671|issue:43837", + "issue:43671|issue:45027", + "issue:43671|issue:45177", + "issue:43671|issue:44121", + "issue:43671|issue:43909", + "issue:43837|issue:43909", + "issue:43837|issue:45322", + "issue:43837|issue:44121", + "issue:43909|issue:44205", + "issue:43909|issue:46645", + "issue:44121|issue:45322", + "issue:43837|issue:45027", + "issue:37015|issue:45027", + "issue:43837|issue:45177", + "issue:45322|issue:46133", + "issue:42503|issue:46653", + "issue:45027|issue:46653" + ], + "prepared_review_unit_hash": "6405593a636018824950714fc3134b9c43b3bf95abc7d56bebd28064f889c196", + "component_budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 40, + "serialized_chars": 24146, + "estimated_input_tokens": 6037, + "estimated_eval_tokens": 12330 + }, + "budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 40, + "serialized_chars": 24146, + "estimated_input_tokens": 6037, + "estimated_eval_tokens": 12330 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These issues are only superficially similar: they are mostly separate model-addition requests across different models, architectures, and modalities, not duplicates of one underlying bug or change.", + "confidence": 0.95, + "canonical_issue_reason": "Issue 46133 is the most active and detailed representative of the general model-request pattern, but the set is too heterogeneous to treat it as a true duplicate umbrella.", + "canonical_pr_reason": null, + "best_issue_reason": "46133 is the strongest single representative if one issue must be chosen: open, detailed, and heavily discussed, with broad template-level similarity to several other requests.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:36817", + "right": "issue:41211", + "accept": false, + "reason": "EuroBert config support and DEIMv2 are unrelated model requests; only the generic \"add model\" wording matches." + }, + { + "left": "issue:36817", + "right": "issue:43671", + "accept": false, + "reason": "EuroBert config support and Qwen3-TTS target different models and modalities." + }, + { + "left": "issue:36817", + "right": "issue:36879", + "accept": false, + "reason": "EuroBert and RF-DETR are different model additions with no shared code path indicated." + }, + { + "left": "issue:36879", + "right": "issue:41211", + "accept": false, + "reason": "RF-DETR and DEIMv2 are distinct model requests, not the same change." + }, + { + "left": "issue:36879", + "right": "issue:43909", + "accept": false, + "reason": "RF-DETR and LFM2.5 Audio 1.5B are different models and use different model families." + }, + { + "left": "issue:36879", + "right": "issue:44121", + "accept": false, + "reason": "RF-DETR object detection support is unrelated to a weight-sparse transformer request." + }, + { + "left": "issue:36879", + "right": "issue:43837", + "accept": false, + "reason": "RF-DETR and Qwen3-ASR are different model support requests, not duplicates." + }, + { + "left": "issue:36879", + "right": "issue:43671", + "accept": false, + "reason": "RF-DETR and Qwen3-TTS target different models and tasks." + }, + { + "left": "issue:37015", + "right": "issue:43837", + "accept": false, + "reason": "NeoBERT and Qwen3-ASR are unrelated model additions." + }, + { + "left": "issue:37015", + "right": "issue:44121", + "accept": false, + "reason": "NeoBERT support and a circuit-sparsity model request do not describe the same change." + }, + { + "left": "issue:37015", + "right": "issue:43909", + "accept": false, + "reason": "NeoBERT and LFM2.5 Audio 1.5B are different model tracks." + }, + { + "left": "issue:36879", + "right": "issue:37015", + "accept": false, + "reason": "RF-DETR and NeoBERT are separate models with no sign of the same implementation work." + }, + { + "left": "issue:37015", + "right": "issue:42503", + "accept": false, + "reason": "NeoBERT and ModernVBERT are different model requests despite both being BERT-like names." + }, + { + "left": "issue:41115", + "right": "issue:43837", + "accept": false, + "reason": "MiniCPM3 architecture support and Qwen3-ASR are different model requests." + }, + { + "left": "issue:41115", + "right": "issue:44121", + "accept": false, + "reason": "MiniCPM3 and OpenAI weight-sparse transformer are not the same model or code path." + }, + { + "left": "issue:41115", + "right": "issue:42503", + "accept": false, + "reason": "MiniCPM3 and ModernVBERT are different model additions." + }, + { + "left": "issue:41115", + "right": "issue:45027", + "accept": false, + "reason": "MiniCPM3 and Voxtral TTS are unrelated model support requests." + }, + { + "left": "issue:41211", + "right": "issue:43671", + "accept": false, + "reason": "DEIMv2 and Qwen3-TTS are different model requests." + }, + { + "left": "issue:42503", + "right": "issue:43837", + "accept": false, + "reason": "ModernVBERT models and Qwen3-ASR do not target the same underlying change." + }, + { + "left": "issue:42503", + "right": "issue:43671", + "accept": false, + "reason": "ModernVBERT and Qwen3-TTS are separate model requests." + }, + { + "left": "issue:42503", + "right": "issue:42738", + "accept": false, + "reason": "ModernVBERT and generic BERT-like RoPE support are related only at a very high level, not the same request." + }, + { + "left": "issue:42738", + "right": "issue:45027", + "accept": false, + "reason": "BERT-like models with RoPE and Voxtral TTS are different model families and tasks." + }, + { + "left": "issue:42738", + "right": "issue:46653", + "accept": false, + "reason": "RoPE support for BERT-like models is unrelated to the Mirko Privitera issue." + }, + { + "left": "issue:43671", + "right": "issue:43837", + "accept": false, + "reason": "Qwen3-TTS and Qwen3-ASR are related naming-wise but are distinct TTS vs ASR support requests." + }, + { + "left": "issue:43671", + "right": "issue:45027", + "accept": false, + "reason": "Qwen3-TTS and Voxtral TTS are different models; same modality is not enough to merge." + }, + { + "left": "issue:43671", + "right": "issue:45177", + "accept": false, + "reason": "Qwen3-TTS and DeepSeek-OCR2 are unrelated model requests." + }, + { + "left": "issue:43671", + "right": "issue:44121", + "accept": false, + "reason": "Qwen3-TTS and the weight-sparse transformer request are different underlying changes." + }, + { + "left": "issue:43671", + "right": "issue:43909", + "accept": false, + "reason": "Qwen3-TTS and LFM2.5 Audio 1.5B are separate audio model requests, not the same model." + }, + { + "left": "issue:43837", + "right": "issue:43909", + "accept": false, + "reason": "Qwen3-ASR and LFM2.5 Audio 1.5B are both audio-related but request different models and support work." + }, + { + "left": "issue:43837", + "right": "issue:45322", + "accept": false, + "reason": "Qwen3-ASR and EUPE are different model requests in different model families." + }, + { + "left": "issue:43837", + "right": "issue:44121", + "accept": false, + "reason": "Qwen3-ASR support and circuit-sparsity support are unrelated changes." + }, + { + "left": "issue:43909", + "right": "issue:44205", + "accept": false, + "reason": "LFM2.5 Audio 1.5B and SAM3-LiteText are different model requests." + }, + { + "left": "issue:43909", + "right": "issue:46645", + "accept": false, + "reason": "LFM2.5 Audio 1.5B and SWA+sink for Granite models are not the same underlying feature." + }, + { + "left": "issue:44121", + "right": "issue:45322", + "accept": false, + "reason": "OpenAI weight-sparse transformer and EUPE are distinct model requests with no shared implementation target." + }, + { + "left": "issue:43837", + "right": "issue:45027", + "accept": false, + "reason": "Qwen3-ASR and Voxtral TTS are separate speech-model support requests." + }, + { + "left": "issue:37015", + "right": "issue:45027", + "accept": false, + "reason": "NeoBERT and Voxtral TTS are unrelated model additions." + }, + { + "left": "issue:43837", + "right": "issue:45177", + "accept": false, + "reason": "Qwen3-ASR and DeepSeek-OCR2 are different models and tasks." + }, + { + "left": "issue:45322", + "right": "issue:46133", + "accept": false, + "reason": "EUPE and TIPSv2 are both vision-language requests, but they are different models and not the same code-path change." + }, + { + "left": "issue:42503", + "right": "issue:46653", + "accept": false, + "reason": "ModernVBERT models and the Mirko Privitera issue are unrelated." + }, + { + "left": "issue:45027", + "right": "issue:46653", + "accept": false, + "reason": "Voxtral TTS support and the Mirko Privitera issue do not appear to be related at all." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 7, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-38740-2", + "nodes": [ + "issue:38740", + "issue:46443" + ], + "soft_pairs": [ + "issue:38740|issue:46443" + ], + "prepared_review_unit_hash": "092013f8cb1521bcffe978df3e097f44186b9b3d40d0d344cb00901546a11901", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1506, + "estimated_input_tokens": 377, + "estimated_eval_tokens": 1010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are unrelated: one is a documentation request to add `pruna` as an optimization framework, while the other is a technical Vision RoPE refactor. No duplicate relationship is supported.", + "confidence": 0.97, + "canonical_issue_reason": "`issue:46443` is the more substantive technical issue; `issue:38740` is a docs-only feature/request and is not a good canonical representative for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:46443` is the best issue to represent the cluster because it is the only concrete code-level refactor, whereas `issue:38740` is a documentation addition request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:38740", + "right": "issue:46443", + "accept": false, + "reason": "Different subject matter and artifact type: a docs request about adding `pruna` versus a Vision RoPE refactor. They do not appear to describe the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 8, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-41084-2", + "nodes": [ + "issue:41084", + "issue:43037" + ], + "soft_pairs": [ + "issue:41084|issue:43037" + ], + "prepared_review_unit_hash": "12bcc691c6b5c1c82ff2e28b5e27f622a6a3e6e5ba60dc6f2a5b4eed4cb2bc9f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1479, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1479, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues are not duplicates: one is about block decoding, the other is a DeepSeek v3.2 compatibility/support request. They share only a very loose similarity.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43037 is the more concrete, user-facing feature request; Issue 41084 is a separate low-level decoding topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41084", + "right": "issue:43037", + "accept": false, + "reason": "Different underlying problems: block decoding vs model/version support. The similarity is too broad to treat as the same issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 9, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-41306-2", + "nodes": [ + "issue:41306", + "issue:41826" + ], + "soft_pairs": [ + "issue:41306|issue:41826" + ], + "prepared_review_unit_hash": "57f1f742c7198fc23a3cf0c409e9483bb898b14dc63063cf22850017216a8128", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1583, + "estimated_input_tokens": 396, + "estimated_eval_tokens": 1048 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1583, + "estimated_input_tokens": 396, + "estimated_eval_tokens": 1048 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are about different model components and different requested changes: one is about exposing a TiledFusedLogitsLoss/FLCE flag in `from_pretrained()`, while the other asks for integrating TiledMLP to reduce memory footprint. They are not the same underlying bug or feature request.", + "confidence": 0.96, + "canonical_issue_reason": "Issue #41306 is the better canonical representative only by activity/verbosity; it is more detailed and has more discussion, but the two issues are not duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #41306 is the best issue to keep as the representative of this small cluster because it has higher discussion activity and a more concrete, narrowly scoped request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41306", + "right": "issue:41826", + "accept": false, + "reason": "Different feature requests for different modules/code paths: FLCE flag wiring in `from_pretrained()` versus adding TiledMLP for memory reduction. They do not describe the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 10, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43598-2", + "nodes": [ + "issue:43598", + "issue:43600" + ], + "soft_pairs": [ + "issue:43598|issue:43600" + ], + "prepared_review_unit_hash": "066c0702e8cb001b51135e2450c159d7b379e3fe82b9c54573076c3235d4535a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1584, + "estimated_input_tokens": 396, + "estimated_eval_tokens": 1048 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1584, + "estimated_input_tokens": 396, + "estimated_eval_tokens": 1048 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues both mention Trainer customization, but they describe different underlying problems: one is about `remove_unused_column` behavior, the other about FLOPS estimation for custom trainers. They should not be clustered as duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No clear canonical issue for a duplicate cluster here; if one must be chosen, #43598 is the more general Trainer customization concern, but it does not subsume #43600.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43598", + "right": "issue:43600", + "accept": false, + "reason": "Different bugs: #43598 is about making `remove_unused_column` more customizable, while #43600 is about estimating FLOPS correctly for custom trainers. They share a subsystem but not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 11, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43684-2", + "nodes": [ + "issue:43684", + "issue:44405" + ], + "soft_pairs": [ + "issue:43684|issue:44405" + ], + "prepared_review_unit_hash": "5c2ec383fb5104ebc18a311dffac23bf71a062289398a594e8dec7733cba3ed3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1612, + "estimated_input_tokens": 403, + "estimated_eval_tokens": 1062 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1612, + "estimated_input_tokens": 403, + "estimated_eval_tokens": 1062 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two different feature requests: one for Qwen3-Omni auto-registration, the other for Qwen3.5 sequence-classification auto support. They share only a broad transformers-auto-model theme, not the same concrete change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43684 is the broader auto-model registration request, so it is the better representative of the cluster, but it is not a duplicate of 44405.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43684", + "right": "issue:44405", + "accept": false, + "reason": "Different model families and different auto classes/tasks: Qwen3-Omni registration for AutoModel/AutoModelForConditionalGeneration vs Qwen3.5 support for AutoModelForSequenceClassification. Not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 12, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43835-4", + "nodes": [ + "issue:43835", + "issue:43845", + "issue:43846", + "issue:43859" + ], + "soft_pairs": [ + "issue:43835|issue:43845", + "issue:43835|issue:43846", + "issue:43835|issue:43859", + "issue:43845|issue:43846", + "issue:43845|issue:43859", + "issue:43846|issue:43859" + ], + "prepared_review_unit_hash": "51676599c5154ee1144475e289b9855657c2f9b4cfbc367b12a84f532b5be487", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 4260, + "estimated_input_tokens": 1065, + "estimated_eval_tokens": 2386 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 4260, + "estimated_input_tokens": 1065, + "estimated_eval_tokens": 2386 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster is dominated by three near-identical, very sparse \"huggingface\" issues, plus one unrelated \"Fett\" issue. With so little body detail, I would treat the Hugging Face reports as likely related but not confidently duplicate-mergable.", + "confidence": 0.36, + "canonical_issue_reason": "issue:43859 is the best anchor among the near-identical Hugging Face reports because it is the latest and has some discussion activity, while the others are equally sparse.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43859 is the strongest issue candidate in this cluster due to recency and activity, but the evidence is thin and the report text is too generic to be confident.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43835", + "right": "issue:43845", + "accept": false, + "reason": "Different titles and no shared body/detail evidence; nothing indicates the same underlying bug." + }, + { + "left": "issue:43835", + "right": "issue:43846", + "accept": false, + "reason": "Different titles and no shared code or issue-target evidence; too little to treat as the same report." + }, + { + "left": "issue:43835", + "right": "issue:43859", + "accept": false, + "reason": "\"Fett\" is unrelated to the generic Hugging Face reports, and there is no concrete overlap beyond weak similarity signals." + }, + { + "left": "issue:43845", + "right": "issue:43846", + "accept": false, + "reason": "Same short title, but the bodies are not available and there is no concrete symptom or target evidence to confirm a duplicate." + }, + { + "left": "issue:43845", + "right": "issue:43859", + "accept": false, + "reason": "Identical generic titles are not enough here; the reports are too sparse to verify they describe the same underlying bug." + }, + { + "left": "issue:43846", + "right": "issue:43859", + "accept": false, + "reason": "Identical generic titles, but no body, target, or file evidence ties them to the same actionable issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 13, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-44371-5", + "nodes": [ + "issue:44371", + "issue:44418", + "issue:44572", + "issue:44573", + "issue:44937" + ], + "soft_pairs": [ + "issue:44371|issue:44572", + "issue:44371|issue:44573", + "issue:44371|issue:44418", + "issue:44371|issue:44937", + "issue:44418|issue:44572", + "issue:44418|issue:44573", + "issue:44572|issue:44573", + "issue:44572|issue:44937", + "issue:44573|issue:44937" + ], + "prepared_review_unit_hash": "1bd871b883c75805484d686da921beb8b86df4d5eec083739382d9f2f2e56764", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 9, + "serialized_chars": 5791, + "estimated_input_tokens": 1448, + "estimated_eval_tokens": 3152 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 9, + "serialized_chars": 5791, + "estimated_input_tokens": 1448, + "estimated_eval_tokens": 3152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "All items are closed, low-information issues with spammy or generic titles and no meaningful body context. There is not enough evidence to treat any pair as the same underlying bug or change, so no soft-edge merges are justified.", + "confidence": 0.94, + "canonical_issue_reason": "Issue 44371 is the earliest generic placeholder in the spam-like subset and is as representative as any other, but the cluster is too noisy to support a strong canonical choice.", + "canonical_pr_reason": null, + "best_issue_reason": "44371 is the least risky global representative only because it matches the repeated placeholder-spam pattern; 44418 is more descriptive but does not appear to be the same topic.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44371", + "right": "issue:44572", + "accept": false, + "reason": "Both are placeholder spam titles, but there is no evidence of a shared underlying bug/change to merge." + }, + { + "left": "issue:44371", + "right": "issue:44573", + "accept": false, + "reason": "Same placeholder spam pattern, but still no concrete duplicate issue or shared fix target." + }, + { + "left": "issue:44371", + "right": "issue:44418", + "accept": false, + "reason": "Generic spam placeholder versus a documentation-suggestion title; too little evidence they refer to the same issue." + }, + { + "left": "issue:44371", + "right": "issue:44937", + "accept": false, + "reason": "The titles are unrelated spam-like text and do not point to the same underlying bug or change." + }, + { + "left": "issue:44418", + "right": "issue:44572", + "accept": false, + "reason": "A docs-enhancement title is not the same thing as a spam placeholder, and there is no shared bug/change evidence." + }, + { + "left": "issue:44418", + "right": "issue:44573", + "accept": false, + "reason": "No indication these describe the same concrete problem; only broad low-quality similarity." + }, + { + "left": "issue:44572", + "right": "issue:44573", + "accept": false, + "reason": "Identical placeholder titles, but the items contain no substantive context showing a real duplicate bug report." + }, + { + "left": "issue:44572", + "right": "issue:44937", + "accept": false, + "reason": "Both are spam-like, but the titles do not establish a common underlying issue." + }, + { + "left": "issue:44573", + "right": "issue:44937", + "accept": false, + "reason": "No concrete shared bug/change is visible; the similarity is only superficial spam-like wording." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 14, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45145-2", + "nodes": [ + "issue:45145", + "issue:45151" + ], + "soft_pairs": [ + "issue:45145|issue:45151" + ], + "prepared_review_unit_hash": "3203e9f0253c2eb00c99a62e9ff078dd8d23083ff595b50c26e7b6d420d106f6", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1646, + "estimated_input_tokens": 412, + "estimated_eval_tokens": 1080 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1646, + "estimated_input_tokens": 412, + "estimated_eval_tokens": 1080 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "#45145 is still the best canonical issue because it is earlier and has an inbound reference, but the evidence for a duplicate relationship is only moderate: the packet shows identical titles, similar body sizes, and a soft-similarity signal, without directly proving the bodies are the same.", + "confidence": 0.87, + "canonical_issue_reason": "#45145 is the earlier report and has an inbound reference, so it is the most suitable canonical issue among the two.", + "canonical_pr_reason": null, + "best_issue_reason": "#45145 is the strongest representative because it appears first and has some reference activity, while #45151 looks like a likely later repeat of the same report.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45145", + "right": "issue:45151", + "accept": false, + "reason": "The match is suggestive but not conclusive: identical titles and similar body lengths plus soft-similarity do not by themselves establish that the issues are the same underlying report or that one is definitively a duplicate." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The canonical choice is reasonable, but the duplicate verdict is overstated. The packet only shows identical titles, similar body lengths, and a soft-similarity signal; it does not directly establish that the bodies are the same or that one issue is definitively a duplicate of the other. The summary should stay more conservative about the evidence." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 15, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45295-2", + "nodes": [ + "issue:45295", + "issue:45373" + ], + "soft_pairs": [], + "prepared_review_unit_hash": "f5fd95fada2f530ab0999e343c17c16266cde0c7182bb22509972ca44827cd49", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1286, + "estimated_input_tokens": 322, + "estimated_eval_tokens": 900 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 0, + "serialized_chars": 1286, + "estimated_input_tokens": 322, + "estimated_eval_tokens": 900 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two issues describe the same missing Gemma 4 sequence-classification support; the later, more specific open issue is the better cluster representative.", + "confidence": 0.94, + "canonical_issue_reason": "issue #45373 is the clearest canonical tracker: it is open, explicitly names the missing class `Gemma4ForSequenceClassification`, and states the module-level gap relative to Gemma 2/3.", + "canonical_pr_reason": null, + "best_issue_reason": "issue #45373 best captures the concrete request and likely remaining work, while #45295 is a shorter earlier duplicate with less detail and is already closed.", + "best_pr_reason": null, + "soft_edge_verdicts": [] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 16, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45672-2", + "nodes": [ + "issue:45672", + "issue:45674" + ], + "soft_pairs": [ + "issue:45672|issue:45674" + ], + "prepared_review_unit_hash": "e401ea2af0428e238386ecb03093919038f2a463b8821b9e4e0152319e972504", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1673, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1673, + "estimated_input_tokens": 419, + "estimated_eval_tokens": 1094 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate 4-bit inference bugs in related areas, but they do not look like the same underlying problem. One is a Gemma4/audio-module uint8 weight path hitting a torch.finfo TypeError; the other is a BitsAndBytesConfig skip-module regression that removes the default lm_head exclusion and raises an AssertionError.", + "confidence": 0.96, + "canonical_issue_reason": "issue:45674 is the more general and clearly described regression, with a configuration-level failure mode and broader potential impact than the Gemma4-specific uint8/audio-module crash.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45674 is the best representative issue here because it states the concrete failure in a reusable way and is less model-specific than issue:45672.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45672", + "right": "issue:45674", + "accept": false, + "reason": "Same broad theme (4-bit inference) but different bugs: one is a Gemma4/audio uint8 torch.finfo TypeError, the other is a BitsAndBytesConfig lm_head exclusion/assertion regression. Different code paths and fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 17, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45762-2", + "nodes": [ + "issue:45762", + "issue:45763" + ], + "soft_pairs": [ + "issue:45762|issue:45763" + ], + "prepared_review_unit_hash": "f5bd274e460d9eb71e5e1467876798976a7d382ec0044e5cc4d70644e7ef7be0", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1477, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1477, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues appear to be unrelated personal-name posts, not duplicate bug reports or the same underlying problem.", + "confidence": 0.97, + "canonical_issue_reason": "Neither issue has substantive technical content; the titles refer to different names and dates, so there is no clear canonical duplicate relationship.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue in this pair is a good canonical example of a real bug report; both look like unrelated/non-technical entries.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45762", + "right": "issue:45763", + "accept": false, + "reason": "Different subject names and dates with no shared problem statement or technical details; not the same underlying issue." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 18, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45764-2", + "nodes": [ + "issue:45764", + "issue:45765" + ], + "soft_pairs": [ + "issue:45764|issue:45765" + ], + "prepared_review_unit_hash": "f505f813e39cfd1fde010f7ba057375b2d181beb0e80195a56225389de4318a8", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1481, + "estimated_input_tokens": 371, + "estimated_eval_tokens": 998 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two closed issues appear to be unrelated standalone entries, each consisting only of a different person\u2019s name and date. There is no evidence of a shared bug, request, code path, or duplicate reporting.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good canonical representative for a duplicate set because they do not describe the same problem or any actionable software defect.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45764", + "right": "issue:45765", + "accept": false, + "reason": "The titles reference different people and different dates, with no shared technical content or underlying issue to unify them." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 19, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45810-2", + "nodes": [ + "issue:45810", + "issue:46295" + ], + "soft_pairs": [ + "issue:45810|issue:46295" + ], + "prepared_review_unit_hash": "7514aa1b270815fc0feb117fd5e62e0198d09ffa9624855dbeca614740291f48", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1542, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1542, + "estimated_input_tokens": 386, + "estimated_eval_tokens": 1028 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are not duplicates: one asks for a new Qwen3_5 token-classification/value-model head, while the other requests FP8 training support. They involve different features and code paths.", + "confidence": 0.98, + "canonical_issue_reason": "No canonical duplicate issue: these are distinct feature requests rather than the same underlying problem.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 46295 is the broader platform feature request and is the better representative of the cluster; 45810 is a narrower model-specific API addition.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45810", + "right": "issue:46295", + "accept": false, + "reason": "Different underlying requests: model-specific token-classification/value-model support vs FP8 training support. No shared fix or code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 20, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45869-5", + "nodes": [ + "issue:45869", + "issue:45870", + "issue:45871", + "issue:45872", + "issue:45873" + ], + "soft_pairs": [ + "issue:45869|issue:45870", + "issue:45869|issue:45871", + "issue:45870|issue:45871", + "issue:45870|issue:45872", + "issue:45870|issue:45873", + "issue:45871|issue:45872", + "issue:45871|issue:45873", + "issue:45872|issue:45873" + ], + "prepared_review_unit_hash": "c9bee04be5e265777d1372b79b6fd64fbc598695a04aca6a6351564d7887ddd8", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 8, + "serialized_chars": 5725, + "estimated_input_tokens": 1432, + "estimated_eval_tokens": 3120 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 8, + "serialized_chars": 5725, + "estimated_input_tokens": 1432, + "estimated_eval_tokens": 3120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The set contains two clear exact-duplicate issue pairs: 45870\u219445871 and 45872\u219445873. Issue 45869 is only loosely related by theme and should stay separate; it is not the same underlying request as the example or service issues.", + "confidence": 0.94, + "canonical_issue_reason": "No single global canonical: the items split into two separate exact-duplicate issue pairs (45870/45871 and 45872/45873), while 45869 is a different dataset request.", + "canonical_pr_reason": null, + "best_issue_reason": "45872 is the strongest representative issue overall because it has an exact duplicate partner (45873) and is the most concrete standalone request in the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45869", + "right": "issue:45870", + "accept": false, + "reason": "Related financial/data context, but this is a dataset listing versus an example request; not the same underlying issue." + }, + { + "left": "issue:45869", + "right": "issue:45871", + "accept": false, + "reason": "Same as 45869\u219445870: thematically similar, but different request type and different underlying artifact." + }, + { + "left": "issue:45870", + "right": "issue:45871", + "accept": true, + "reason": "Exact same title and same body length; these appear to be duplicate submissions of the same example issue." + }, + { + "left": "issue:45870", + "right": "issue:45872", + "accept": false, + "reason": "Both mention financial time series/DataForge, but one is an example issue and the other is a scraping-service request; not the same change/request." + }, + { + "left": "issue:45870", + "right": "issue:45873", + "accept": false, + "reason": "Different issue topic: example prediction workflow versus scraping-service request." + }, + { + "left": "issue:45871", + "right": "issue:45872", + "accept": false, + "reason": "Different underlying request despite shared domain terms; these would not be merged into one issue." + }, + { + "left": "issue:45871", + "right": "issue:45873", + "accept": false, + "reason": "Different underlying request; 45871 is the example issue, while 45873 is the scraping-service issue duplicate pair." + }, + { + "left": "issue:45872", + "right": "issue:45873", + "accept": true, + "reason": "Exact same title and same body length; these look like duplicate submissions of the same DataForge scraping-service issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the two exact-title, same-body-length pairs are treated as duplicates, and 45869 is kept separate as a different dataset request. The soft-edge verdicts are conservative overall, especially on the cross-pair rejections where the analyst avoids merging different request types." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 21, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46439-2", + "nodes": [ + "issue:46439", + "issue:46441" + ], + "soft_pairs": [ + "issue:46439|issue:46441" + ], + "prepared_review_unit_hash": "6107f7abc4041e75f3dd876e7496381a348c44ce55996a8bef1ddf185e4f979b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1637, + "estimated_input_tokens": 410, + "estimated_eval_tokens": 1076 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues are related to static-cache handling in linear-attention/Qwen3.5 paths, but they describe different failure modes: one is a `KeyError` for `linear_attention`, the other is shape corruption during `early_initialization` leading to a `RuntimeError`. They are close, but not clearly the same underlying bug.", + "confidence": 0.78, + "canonical_issue_reason": "Issue 46439 is the better canonical issue because it describes the broader mechanism (`early_initialization` corrupting linear-attention layers) and the concrete downstream failure mode, which is more informative for triage and fixing than a model-specific crash report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 46439 is the best representative for the cluster because it captures the likely root-cause class in a way that could apply across models, whereas 46441 reads as a specific symptom on Qwen3.5.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:46439", + "right": "issue:46441", + "accept": false, + "reason": "Reject: both involve static cache and linear-attention, but the reported failures differ materially (`RuntimeError` from wrong shapes vs `KeyError: 'linear_attention'`). They may be related, but they do not clearly describe the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 22, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46551-2", + "nodes": [ + "issue:46551", + "issue:46552" + ], + "soft_pairs": [ + "issue:46551|issue:46552" + ], + "prepared_review_unit_hash": "3b2e30f271a9f617cd3e6550a01102fb327a5724011e9e835d529974e68192ab", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1707, + "estimated_input_tokens": 427, + "estimated_eval_tokens": 1110 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1707, + "estimated_input_tokens": 427, + "estimated_eval_tokens": 1110 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues appear to describe the same Wav2Vec2CTCTokenizer v5 bug report: they have identical titles, identical body length, and maximal soft similarity. #46551 is the better dedup anchor because it is the earlier closed report, while #46552 is the later open report with matching content.", + "confidence": 0.91, + "canonical_issue_reason": "Issue #46551 is the earlier closed instance and the best dedup anchor for this matching report.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #46551 is the strongest representative issue because it is earlier, already closed, and matches #46552 exactly in title/body content.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:46551", + "right": "issue:46552", + "accept": true, + "reason": "The titles and body length are identical, and the soft similarity is maximal, so they very likely describe the same underlying bug report." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The duplicate call is plausible, but the writeup is a bit too definitive for the evidence. The packet only supports that the two issues have identical titles/body length and maximal soft similarity; it does not prove that #46551 is the \u2018original\u2019 or that #46552 is definitively an \u2018open duplicate.\u2019 Please soften the canonical/original language to something like \u2018earlier issue\u2019 or \u2018best dedup anchor,\u2019 and avoid asserting duplicate status as certain unless there is an explicit linkage." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 23, + "component_count": 23, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46657-2", + "nodes": [ + "issue:46657", + "issue:46692" + ], + "soft_pairs": [ + "issue:46657|issue:46692" + ], + "prepared_review_unit_hash": "67461834f2e2ab97c52f8b3e57d0a37f8b831ecd36d98a170410742c92cf5459", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1568, + "estimated_input_tokens": 392, + "estimated_eval_tokens": 1040 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two issues describe different training failures: one is a tensor size mismatch during object-detection training, the other is out-of-memory after several epochs while training RT-DETR v2. They share a broad training context but not the same underlying bug.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 46657 is the more specific, actionable bug report, but it should not be treated as a duplicate of 46692 because the symptoms and likely root causes differ.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:46657", + "right": "issue:46692", + "accept": false, + "reason": "Different failure modes: tensor-shape mismatch versus gradual OOM during RT-DETR v2 training. Same general subsystem, but not the same concrete bug." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-40546-2", + "nodes": [ + "pull_request:40546", + "pull_request:42781" + ], + "soft_pairs": [ + "pull_request:40546|pull_request:42781" + ], + "prepared_review_unit_hash": "3d787f79bae0a93d64f924e1a8102806902ec18de40ce006d12aacd44d842791", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7224, + "estimated_input_tokens": 1806, + "estimated_eval_tokens": 3868 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two VibeVoice pull requests overlap heavily in shared scaffolding, but they are not duplicates: one adds the base VibeVoice implementation, while the other adds a separate VibeVoice Realtime/tokenizer extension.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #40546 is the better canonical representative: it is the base VibeVoice implementation, has substantial review/discussion, and is more mature than the later draft realtime extension.", + "best_issue_reason": null, + "best_pr_reason": "PR #40546 is the best overall representative of the cluster because it is the foundational VibeVoice integration rather than a later variant-specific extension.", + "soft_edge_verdicts": [ + { + "left": "pull_request:40546 (Implement VibeVoice)", + "right": "pull_request:42781 (Add VibeVoice Realtime)", + "accept": false, + "reason": "They share VibeVoice infrastructure, but the concrete changes differ: #40546 is the core model integration, while #42781 adds realtime and acoustic-tokenizer functionality. That is related scope, not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 2, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-40755-2", + "nodes": [ + "pull_request:40755", + "pull_request:41224" + ], + "soft_pairs": [ + "pull_request:40755|pull_request:41224" + ], + "prepared_review_unit_hash": "62804b6b4b0adf24c4960e4f31f3edb712f1af64f3bae45a21ebdc2520781f1a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4675, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are unrelated feature additions in different model families, so this is not a duplicate cluster.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: PR 40755 adds TimesFM covariate forecasting, while PR 41224 adds DINOv3 image-classification support; they do not target the same underlying change.", + "best_issue_reason": null, + "best_pr_reason": "PR 41224 is the more self-contained representative of the pair, but it is still unrelated to PR 40755 and should not be treated as a duplicate.", + "soft_edge_verdicts": [ + { + "left": "pull_request:40755", + "right": "pull_request:41224", + "accept": false, + "reason": "Different models, different code paths, and different user-visible features: TimesFM forecasting with covariates vs DINOv3 image-classification support. They should not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 3, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-41356-2", + "nodes": [ + "pull_request:41356", + "pull_request:44339" + ], + "soft_pairs": [ + "pull_request:41356|pull_request:44339" + ], + "prepared_review_unit_hash": "aead1308c167b0bae6ff11bf9358340baa5e76f816618383418b505a10a9cd01", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6050, + "estimated_input_tokens": 1513, + "estimated_eval_tokens": 3282 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6050, + "estimated_input_tokens": 1513, + "estimated_eval_tokens": 3282 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two DEIMv2 pull requests target the same model family, but they are not the same change: PR 41356 is an early/basic model + image processor add, while PR 44339 is a much broader follow-up that adds loss code, auto-mappings, conversion tooling, modular files, and more integration work.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44339 is the more complete and representative DEIMv2 implementation; PR 41356 looks like an earlier partial version of the same model bring-up.", + "best_issue_reason": null, + "best_pr_reason": "PR 44339 is the strongest single artifact for the cluster because it subsumes the basic model work and includes the broader integration needed for a full Transformers addition.", + "soft_edge_verdicts": [ + { + "left": "pull_request:41356", + "right": "pull_request:44339", + "accept": false, + "reason": "Same model area, but not the same concrete change: 44339 expands the implementation substantially and adds new code paths beyond the basic PR 41356. They look like related iterations, not mergeable duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 4, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-41855-14", + "nodes": [ + "pull_request:41855", + "pull_request:42668", + "pull_request:43251", + "pull_request:43254", + "pull_request:43424", + "pull_request:43823", + "pull_request:43995", + "pull_request:44827", + "pull_request:45170", + "pull_request:45213", + "pull_request:45655", + "pull_request:46048", + "pull_request:46267", + "pull_request:46744" + ], + "soft_pairs": [ + "pull_request:41855|pull_request:43823", + "pull_request:41855|pull_request:43424", + "pull_request:42668|pull_request:43823", + "pull_request:43251|pull_request:43823", + "pull_request:43251|pull_request:44827", + "pull_request:43424|pull_request:44827", + "pull_request:43424|pull_request:43823", + "pull_request:43823|pull_request:45655", + "pull_request:43823|pull_request:43995", + "pull_request:43995|pull_request:45213", + "pull_request:43995|pull_request:44827", + "pull_request:44827|pull_request:45170", + "pull_request:44827|pull_request:46267", + "pull_request:44827|pull_request:46744", + "pull_request:44827|pull_request:46048", + "pull_request:44827|pull_request:45213", + "pull_request:43823|pull_request:45213", + "pull_request:44827|pull_request:45655", + "pull_request:43251|pull_request:43254" + ], + "prepared_review_unit_hash": "e741fd35ac3446bee399e39292dfb8077ed66d5570bd6337e34993a03f662fd2", + "component_budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 19, + "serialized_chars": 36844, + "estimated_input_tokens": 9211, + "estimated_eval_tokens": 18678 + }, + "budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 19, + "serialized_chars": 36844, + "estimated_input_tokens": 9211, + "estimated_eval_tokens": 18678 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Most items are unrelated PRs spanning different models, docs, and tooling. The only true duplicate-looking pair is the two `fixed_cross_entropy` PRs that both add `weight`/`label_smoothing` support to the same loss helper for the same tracked issue.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #43251 is the best canonical PR because it is the clearest, issue-linked implementation of the only real duplicate pair in this set and directly targets the shared loss-utils code path.", + "best_issue_reason": null, + "best_pr_reason": "PR #43251 is the strongest representative of the cluster\u2019s only substantive duplicate change: it fixes the same `fixed_cross_entropy` kwargs forwarding problem as #43254, with a complete and issue-linked patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:41855", + "right": "pull_request:43823", + "accept": false, + "reason": "Different features: Mistral tokenizer API additions vs adding MobileLLM model support. No shared bug or change." + }, + { + "left": "pull_request:41855", + "right": "pull_request:43424", + "accept": false, + "reason": "Unrelated areas: tokenizer methods vs ExecuTorch dynamic-shape export test." + }, + { + "left": "pull_request:42668", + "right": "pull_request:43823", + "accept": false, + "reason": "Different processor/auto-loading robustness work vs introducing a new model package." + }, + { + "left": "pull_request:43251", + "right": "pull_request:43823", + "accept": false, + "reason": "Loss-function kwargs forwarding is unrelated to adding MobileLLM." + }, + { + "left": "pull_request:43251", + "right": "pull_request:44827", + "accept": false, + "reason": "Both touch different code paths: cross-entropy helper vs Mistral4 test/model adjustments." + }, + { + "left": "pull_request:43424", + "right": "pull_request:44827", + "accept": false, + "reason": "ExecuTorch export testing and Mistral4 fixes are separate concerns." + }, + { + "left": "pull_request:43424", + "right": "pull_request:43823", + "accept": false, + "reason": "Dynamic export tests do not match new-model integration work." + }, + { + "left": "pull_request:43823", + "right": "pull_request:45655", + "accept": false, + "reason": "New MobileLLM model support is unrelated to `cls.config` resolution ordering." + }, + { + "left": "pull_request:43823", + "right": "pull_request:43995", + "accept": false, + "reason": "Different model families and fixes: MobileLLM addition vs Falcon output-capture refactor." + }, + { + "left": "pull_request:43995", + "right": "pull_request:45213", + "accept": false, + "reason": "Falcon refactor and model output-capturing changes are unrelated to the model-creation skill PR." + }, + { + "left": "pull_request:43995", + "right": "pull_request:44827", + "accept": false, + "reason": "Different concrete changes: Falcon forward-signature refactor vs Mistral4 test fixes." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45170", + "accept": false, + "reason": "Mistral4 test fixes and CLIP-like `layrnorm` renaming are not the same underlying change." + }, + { + "left": "pull_request:44827", + "right": "pull_request:46267", + "accept": false, + "reason": "Mistral4 test fixes are unrelated to chat response parsing updates." + }, + { + "left": "pull_request:44827", + "right": "pull_request:46744", + "accept": false, + "reason": "Model-specific test fixes do not overlap with Apple Silicon loading docs." + }, + { + "left": "pull_request:44827", + "right": "pull_request:46048", + "accept": false, + "reason": "Mistral4 fixes and TDT loss kernel integration are distinct changes." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45213", + "accept": false, + "reason": "A model test-fix PR is not a duplicate of the model-creation skill / scaffolding PR." + }, + { + "left": "pull_request:43823", + "right": "pull_request:45213", + "accept": false, + "reason": "MobileLLM model addition is unrelated to the new-model skill repository changes." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45655", + "accept": false, + "reason": "Mistral4 test fixes are unrelated to the config-resolution ordering fix." + }, + { + "left": "pull_request:43251", + "right": "pull_request:43254", + "accept": true, + "reason": "Both PRs fix the same `fixed_cross_entropy` helper to forward supported `cross_entropy` kwargs for the same issue; they are the same underlying code-path change and could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The evaluation stays grounded in the packet and the conservative rejections are justified by the listed filenames, titles, and diff previews. The only accepted pair, pull_request:43251 with pull_request:43254, is plausibly mergeable into a single PR for the same `fixed_cross_entropy` kwargs-forwarding bugfix: both target `src/transformers/loss/loss_utils.py`, both cite issue 43240, and the diff differences are minor implementation-style variations rather than different fixes." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 5, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-42975-2", + "nodes": [ + "pull_request:42975", + "pull_request:42976" + ], + "soft_pairs": [ + "pull_request:42975|pull_request:42976" + ], + "prepared_review_unit_hash": "3bd4c1e4eb52a9acc088c95ec8b8c21391af2f3c97cb5a4f0825207c987030ae", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5935, + "estimated_input_tokens": 1484, + "estimated_eval_tokens": 3224 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5935, + "estimated_input_tokens": 1484, + "estimated_eval_tokens": 3224 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two open PRs both bump GitHub Actions dependencies, but they are separate maintenance changes with different concrete targets: one focuses on Node 24 compatibility across many workflows, the other upgrades specific actions such as docker/build-push-action to latest versions. They overlap in some workflow files, but not in the underlying change.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 42975 is the better canonical representative because it has the broader, clearer goal (Node 24 compatibility) and touches more workflow action upgrades across the repo.", + "best_issue_reason": null, + "best_pr_reason": "PR 42975 is the best overall PR candidate since it represents the larger, more general workflow-action compatibility update; PR 42976 is a narrower action-version bump centered on Docker build workflows.", + "soft_edge_verdicts": [ + { + "left": "pull_request:42975", + "right": "pull_request:42976", + "accept": false, + "reason": "Do not merge: both update GitHub Actions, but they are not the same change. 42975 is a Node 24 compatibility sweep across many workflows, while 42976 specifically bumps docker/build-push-action and a few related actions. Shared workflow filenames alone are not enough to treat them as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 6, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-42978-7", + "nodes": [ + "pull_request:42978", + "pull_request:43448", + "pull_request:43451", + "pull_request:45490", + "pull_request:46562", + "pull_request:46658", + "pull_request:46705" + ], + "soft_pairs": [ + "pull_request:42978|pull_request:43448", + "pull_request:42978|pull_request:43451", + "pull_request:42978|pull_request:45490", + "pull_request:42978|pull_request:46705", + "pull_request:43448|pull_request:43451", + "pull_request:43448|pull_request:45490", + "pull_request:43448|pull_request:46705", + "pull_request:43451|pull_request:45490", + "pull_request:43451|pull_request:46705", + "pull_request:45490|pull_request:46562", + "pull_request:45490|pull_request:46705", + "pull_request:46562|pull_request:46658" + ], + "prepared_review_unit_hash": "b1fb82cba9da4f4dc175c8f3c0fe4c947433c3ddfbbf9d67eae60d7600774238", + "component_budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 12, + "serialized_chars": 24615, + "estimated_input_tokens": 6154, + "estimated_eval_tokens": 12564 + }, + "budget": { + "node_count": 7, + "item_count": 7, + "soft_pair_count": 12, + "serialized_chars": 24615, + "estimated_input_tokens": 6154, + "estimated_eval_tokens": 12564 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This set is mostly unrelated model-addition PRs. The only borderline pair is the Step 3.7 Flash implementation versus the WIP mini-model/scripts PR, but that looks like supporting scaffolding rather than the same mergeable change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46562 is the most substantive, user-facing model implementation in the set; the other PRs are separate model additions or auxiliary scaffolding, so it is the closest thing to an anchor if one must be chosen.", + "best_issue_reason": null, + "best_pr_reason": "PR 46562 is the strongest representative artifact here: it contains the actual Step 3.7 Flash integration and tests, while the others are distinct model launches or non-core support work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:42978", + "right": "pull_request:43448", + "accept": false, + "reason": "Both are new model PRs with shared docs/auto-registry edits, but they add different model families (ViT NEPA vs Molmo) and do not target the same bug or change." + }, + { + "left": "pull_request:42978", + "right": "pull_request:43451", + "accept": false, + "reason": "Different model families and unrelated implementations; the overlap is only in shared registry/docs files." + }, + { + "left": "pull_request:42978", + "right": "pull_request:45490", + "accept": false, + "reason": "Separate model additions in different domains; shared infrastructure edits do not make them the same change." + }, + { + "left": "pull_request:42978", + "right": "pull_request:46705", + "accept": false, + "reason": "ViT NEPA model addition and distributed-config work are unrelated." + }, + { + "left": "pull_request:43448", + "right": "pull_request:43451", + "accept": false, + "reason": "Molmo and Molmo2 are distinct model integrations, not the same underlying feature or bug fix." + }, + { + "left": "pull_request:43448", + "right": "pull_request:45490", + "accept": false, + "reason": "Different model families with only broad registry/docs overlap." + }, + { + "left": "pull_request:43448", + "right": "pull_request:46705", + "accept": false, + "reason": "Model addition versus distributed configuration work; no shared code-path problem." + }, + { + "left": "pull_request:43451", + "right": "pull_request:45490", + "accept": false, + "reason": "Molmo2 and CTSM are unrelated model additions despite touching common auto/model registration files." + }, + { + "left": "pull_request:43451", + "right": "pull_request:46705", + "accept": false, + "reason": "Molmo2 model work and distributed config changes are not the same change." + }, + { + "left": "pull_request:45490", + "right": "pull_request:46562", + "accept": false, + "reason": "CTSM and Step 3.7 Flash are separate model integrations; shared auto-registry edits are too broad to treat as duplicates." + }, + { + "left": "pull_request:45490", + "right": "pull_request:46705", + "accept": false, + "reason": "CTSM model addition and distributed config support address different parts of the codebase." + }, + { + "left": "pull_request:46562", + "right": "pull_request:46658", + "accept": false, + "reason": "They are related Step 3.7 Flash work, but 46562 is the actual model integration while 46658 is WIP mini-model/scripts scaffolding; not the same concrete mergeable change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 7, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43291-8", + "nodes": [ + "pull_request:43291", + "pull_request:43498", + "pull_request:43665", + "pull_request:44815", + "pull_request:45114", + "pull_request:46380", + "pull_request:46539", + "pull_request:46579" + ], + "soft_pairs": [ + "pull_request:43291|pull_request:43665", + "pull_request:43291|pull_request:44815", + "pull_request:43291|pull_request:46380", + "pull_request:43498|pull_request:46579", + "pull_request:43665|pull_request:46539", + "pull_request:43665|pull_request:44815", + "pull_request:43665|pull_request:46380", + "pull_request:43665|pull_request:46579", + "pull_request:44815|pull_request:46539", + "pull_request:44815|pull_request:46380", + "pull_request:44815|pull_request:46579", + "pull_request:45114|pull_request:46579", + "pull_request:46380|pull_request:46539", + "pull_request:46380|pull_request:46579" + ], + "prepared_review_unit_hash": "2a8e603b235dd7cd5cb1b8c476ffe2d1f24124053430aa7e2371aacdb98d652b", + "component_budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 14, + "serialized_chars": 23165, + "estimated_input_tokens": 5792, + "estimated_eval_tokens": 11840 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 14, + "serialized_chars": 23165, + "estimated_input_tokens": 5792, + "estimated_eval_tokens": 11840 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is a mix of largely unrelated pull requests: Whisper test/tokenizer tweaks, a deprecation alias, intentionally broken test edits, an FP8 dequantization fix, doctest cleanup, generation validation changes, a CI workaround, and broad typo fixes. The only commonality is very loose topical overlap, not the same underlying bug/change, so none of the soft duplicate edges are strong enough to accept.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44815 is the strongest single representative: it fixes a concrete FP8 dequantization/loading bug with coordinated code changes and tests. The others are mostly docs, CI, typo cleanup, or unrelated test/deprecation edits.", + "best_issue_reason": null, + "best_pr_reason": "PR 44815 is the best canonical PR candidate because it addresses a specific code-path defect rather than incidental cleanup, and it is the most self-contained substantive fix in the set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43291", + "right": "pull_request:43665", + "accept": false, + "reason": "Both touch tests, but one is Whisper tokenizer/test behavior and the other is unrelated CLIP/ViT test edits; not the same underlying bug or mergeable change." + }, + { + "left": "pull_request:43291", + "right": "pull_request:44815", + "accept": false, + "reason": "Whisper decode/tokenization work is unrelated to the FP8 dequantization/load-path fix; different subsystem and bug." + }, + { + "left": "pull_request:43291", + "right": "pull_request:46380", + "accept": false, + "reason": "Whisper test/tokenizer changes do not match the generation watermarking validation/CI fixes in the other PR." + }, + { + "left": "pull_request:43498", + "right": "pull_request:46579", + "accept": false, + "reason": "A backward-compatibility alias for tie_weights is unrelated to broad typo cleanup across many files." + }, + { + "left": "pull_request:43665", + "right": "pull_request:46539", + "accept": false, + "reason": "Broken CLIP/ViT test edits are unrelated to the Phimoe CI integration-test workaround." + }, + { + "left": "pull_request:43665", + "right": "pull_request:44815", + "accept": false, + "reason": "One is test-only noise in CLIP/ViT; the other fixes a concrete FP8 dequantization path. Different changes, not duplicative." + }, + { + "left": "pull_request:43665", + "right": "pull_request:46380", + "accept": false, + "reason": "CLIP/ViT test edits are unrelated to generation watermarking validation and Whisper/model-test fixes." + }, + { + "left": "pull_request:43665", + "right": "pull_request:46579", + "accept": false, + "reason": "Intentional failing test edits are not the same as broad typo fixes in code." + }, + { + "left": "pull_request:44815", + "right": "pull_request:46539", + "accept": false, + "reason": "FP8 dequantization/model-loading changes are unrelated to the Phimoe CI memory/device-map workaround." + }, + { + "left": "pull_request:44815", + "right": "pull_request:46380", + "accept": false, + "reason": "These touch different code paths: FP8 dequantization vs generation validation and unrelated model test fixes." + }, + { + "left": "pull_request:44815", + "right": "pull_request:46579", + "accept": false, + "reason": "Shared files are incidental; 44815 is a functional dequant fix while 46579 is broad typo cleanup across many modules." + }, + { + "left": "pull_request:45114", + "right": "pull_request:46579", + "accept": false, + "reason": "Doctest/doc formatting cleanup is not the same change as code typo fixes across implementation files." + }, + { + "left": "pull_request:46380", + "right": "pull_request:46539", + "accept": false, + "reason": "Generation validation/Whisper fixes are unrelated to CI runner memory limiting for Phimoe integration tests." + }, + { + "left": "pull_request:46380", + "right": "pull_request:46579", + "accept": false, + "reason": "The overlap in generation files is superficial; 46380 fixes a runtime validation bug while 46579 is typo cleanup, so they should not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 8, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43488-3", + "nodes": [ + "pull_request:43488", + "pull_request:43532", + "pull_request:46747" + ], + "soft_pairs": [ + "pull_request:43488|pull_request:46747", + "pull_request:43488|pull_request:43532", + "pull_request:43532|pull_request:46747" + ], + "prepared_review_unit_hash": "a259b219f05a87e91ef4774ec05b57d1a0442d7298713067c00e1147513d315a", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6350, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 6350, + "estimated_input_tokens": 1588, + "estimated_eval_tokens": 3432 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three unrelated \"don't merge\" PRs touching different code paths: setup/versioning and a test file, PR-comment/CI workflow plumbing, and the PR security-gate workflow. They are not the same underlying change, so the soft links should not be merged.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:43532 is the best cluster representative because it has the richest discussion, the broadest file footprint, and the most explicit change surface among the three, even though it is not a true duplicate of the others.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:43532 is the most informative single PR to keep as the representative record for this cluster due to its larger diff and more associated activity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43488", + "right": "pull_request:46747", + "accept": false, + "reason": "One edits setup.py/dependency metadata and a Vit test; the other changes the PR security-gate workflow trigger. Different subsystems and different underlying changes." + }, + { + "left": "pull_request:43488", + "right": "pull_request:43532", + "accept": false, + "reason": "The overlap is only a shared Vit test filename; the diffs otherwise target setup/dependency/versioning versus CI/comment workflow logic. Not the same bug or fix." + }, + { + "left": "pull_request:43532", + "right": "pull_request:46747", + "accept": false, + "reason": "Both touch workflows, but one is about self-comment CI and test/support utilities while the other is only changing the security-gate trigger. Too broad to treat as one concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 9, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43612-2", + "nodes": [ + "pull_request:43612", + "pull_request:43613" + ], + "soft_pairs": [ + "pull_request:43612|pull_request:43613" + ], + "prepared_review_unit_hash": "8152989c18e9b38f1102f065b5ede84021ce840e945e0848a8a6e9767eb00038", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6082, + "estimated_input_tokens": 1521, + "estimated_eval_tokens": 3298 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6082, + "estimated_input_tokens": 1521, + "estimated_eval_tokens": 3298 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related PRs in the same area of the docs/pipeline infrastructure, but they implement different features: one adds a Promptable Concept Segmentation pipeline, the other adds a Promptable Visual Segmentation pipeline. Shared scaffolding alone is not enough to treat them as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #43613 is the broader, more multi-model implementation for promptable visual segmentation, so it is the better representative if one must be chosen; however, it is still distinct from #43612 rather than a duplicate.", + "best_issue_reason": null, + "best_pr_reason": "PR #43613 is the stronger standalone representative because it covers the visual-segmentation pipeline plus several related model/test updates, making it more complete than the concept-segmentation PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43612", + "right": "pull_request:43613", + "accept": false, + "reason": "Different underlying features and code paths: concept segmentation vs visual segmentation. They share documentation and pipeline registration scaffolding, but the changed models/tests and pipeline modules are for different tasks, so they should not be merged as duplicates." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 10, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43651-2", + "nodes": [ + "pull_request:43651", + "pull_request:43663" + ], + "soft_pairs": [ + "pull_request:43651|pull_request:43663" + ], + "prepared_review_unit_hash": "5d3d8ef3407102ecb4b6ee9c39ed7428b4a006469ba2a6da52f5acc0cc469772", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4293, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4293, + "estimated_input_tokens": 1074, + "estimated_eval_tokens": 2404 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two unrelated open PRs in `trainer.py`: one changes gradient-accumulation loss scaling, the other refactors signature-column filtering for PEFT/custom trainers. They share a file and subsystem, but not the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No PR is a good cluster representative here: the patches address different trainer code paths and should be triaged separately rather than merged as duplicates.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43651", + "right": "pull_request:43663", + "accept": false, + "reason": "Different functionality and failure modes: 43651 changes training loss scaling during gradient accumulation, while 43663 adds an overrideable helper for input-signature column filtering. Shared file/subsystem alone is not enough to treat them as the same change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 11, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43656-2", + "nodes": [ + "pull_request:43656", + "pull_request:43842" + ], + "soft_pairs": [ + "pull_request:43656|pull_request:43842" + ], + "prepared_review_unit_hash": "844ba7377cab6c4ceb325aab0a83e87c4065170e985d113b3bf1e91ae5d1a06a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3663, + "estimated_input_tokens": 916, + "estimated_eval_tokens": 2088 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3663, + "estimated_input_tokens": 916, + "estimated_eval_tokens": 2088 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs touch `src/transformers/cli/serve.py` and mention `TypeAdapter`, but they fix different NameError scenarios: one is about missing future-annotation behavior / type-hint evaluation, the other is about guarding `TypeAdapter` imports when `pydantic` is absent. They are related but not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:43656", + "right": "pull_request:43842", + "accept": false, + "reason": "Same file and similar symptom, but different root causes and fixes: PR 43656 changes annotation handling with `from __future__ import annotations`, while PR 43842 makes `TypeAdapter` a TYPE_CHECKING-only import and stringizes a parameter to avoid importing pydantic at runtime. They would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 12, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43779-2", + "nodes": [ + "pull_request:43779", + "pull_request:43816" + ], + "soft_pairs": [ + "pull_request:43779|pull_request:43816" + ], + "prepared_review_unit_hash": "e7c674adcc031aa8883109a5dfc678b4407fb20b10764302092e384d031ba83a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4362, + "estimated_input_tokens": 1091, + "estimated_eval_tokens": 2438 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests appear to implement the same SwanLab integration change: adding run id/resume support in `integration_utils.py` for issue #43698, with one variant also expanding the docs. They are strong duplicate PR candidates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #43816 is the cleaner representative: it carries the same SwanLab id/resume support plus the accompanying documentation updates, making it the more complete version of the shared change.", + "best_issue_reason": null, + "best_pr_reason": "PR #43816 is the best global representative because it appears to include the full feature change and docs for SwanLab run id/resume support, while #43779 is the narrower implementation-focused variant.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43779", + "right": "pull_request:43816", + "accept": true, + "reason": "Same underlying SwanLab callback enhancement for id/resume support in the same file and same issue target; the doc differences do not change the core code-path change, so these are duplicate PRs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs target issue #43698, touch the same file, and the previews indicate the same SwanLab id/resume support with #43816 adding docs. The duplicate/mergeable verdict is conservative enough given the shared target and overlapping code change." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 13, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43996-28", + "nodes": [ + "pull_request:43996", + "pull_request:43997", + "pull_request:44007", + "pull_request:44010", + "pull_request:44013", + "pull_request:44017", + "pull_request:44018", + "pull_request:44019", + "pull_request:44044", + "pull_request:44056", + "pull_request:44059", + "pull_request:44066", + "pull_request:44068", + "pull_request:44071", + "pull_request:44072", + "pull_request:44073", + "pull_request:44074", + "pull_request:44076", + "pull_request:44085", + "pull_request:44086", + "pull_request:44098", + "pull_request:44101", + "pull_request:44116", + "pull_request:44129", + "pull_request:44154", + "pull_request:44161", + "pull_request:44722" + ], + "soft_pairs": [ + "pull_request:43996|pull_request:44085", + "pull_request:43996|pull_request:44044", + "pull_request:44066|pull_request:44085", + "pull_request:44007|pull_request:44072", + "pull_request:44072|pull_request:44722", + "pull_request:44066|pull_request:44072", + "pull_request:44013|pull_request:44044", + "pull_request:44066|pull_request:44086", + "pull_request:44066|pull_request:44071", + "pull_request:44018|pull_request:44068", + "pull_request:44066|pull_request:44068", + "pull_request:44018|pull_request:44066", + "pull_request:44019|pull_request:44722", + "pull_request:44086|pull_request:44722", + "pull_request:44019|pull_request:44085", + "pull_request:44018|pull_request:44019", + "pull_request:44019|pull_request:44071", + "pull_request:44068|pull_request:44722", + "pull_request:44068|pull_request:44116", + "pull_request:44018|pull_request:44116", + "pull_request:44071|pull_request:44722", + "pull_request:44018|pull_request:44085", + "pull_request:44018|pull_request:44086", + "pull_request:44068|pull_request:44086", + "pull_request:44071|pull_request:44085", + "pull_request:44085|pull_request:44086", + "pull_request:44059|pull_request:44086", + "pull_request:44098|pull_request:44101", + "pull_request:44018|pull_request:44071", + "pull_request:44059|pull_request:44722", + "pull_request:44017|pull_request:44161", + "pull_request:44017|pull_request:44722", + "pull_request:44017|pull_request:44073", + "pull_request:44068|pull_request:44071", + "pull_request:43997|pull_request:44073", + "pull_request:44071|pull_request:44086", + "pull_request:44017|pull_request:44071", + "pull_request:44073|pull_request:44101", + "pull_request:44073|pull_request:44161", + "pull_request:44059|pull_request:44071", + "pull_request:44056|pull_request:44101", + "pull_request:44018|pull_request:44059", + "pull_request:44059|pull_request:44068", + "pull_request:44101|pull_request:44161", + "pull_request:43997|pull_request:44017", + "pull_request:43997|pull_request:44056", + "pull_request:44071|pull_request:44076", + "pull_request:44074|pull_request:44101", + "pull_request:44056|pull_request:44161", + "pull_request:43997|pull_request:44018", + "pull_request:43997|pull_request:44161", + "pull_request:44074|pull_request:44161", + "pull_request:44018|pull_request:44161", + "pull_request:43997|pull_request:44071", + "pull_request:44010|pull_request:44071", + "pull_request:44010|pull_request:44073", + "pull_request:44018|pull_request:44129", + "pull_request:43997|pull_request:44074", + "pull_request:44010|pull_request:44018", + "pull_request:44071|pull_request:44129", + "pull_request:43997|pull_request:44129", + "pull_request:43996|pull_request:44161", + "pull_request:43996|pull_request:44017", + "pull_request:44010|pull_request:44044", + "pull_request:44044|pull_request:44074", + "pull_request:44066|pull_request:44722", + "pull_request:44085|pull_request:44722", + "pull_request:44085|pull_request:44129", + "pull_request:43996|pull_request:44007", + "pull_request:43996|pull_request:44129", + "pull_request:44044|pull_request:44129", + "pull_request:44044|pull_request:44154" + ], + "prepared_review_unit_hash": "ce2bb5c9c4af74a62b01f0e826b84330b6992cedca077c5f30c4793b8c6f15b0", + "component_budget": { + "node_count": 28, + "item_count": 28, + "soft_pair_count": 78, + "serialized_chars": 84902, + "estimated_input_tokens": 21226, + "estimated_eval_tokens": 42708 + }, + "budget": { + "node_count": 27, + "item_count": 27, + "soft_pair_count": 72, + "serialized_chars": 75098, + "estimated_input_tokens": 18775, + "estimated_eval_tokens": 37806 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of independent, model-specific refactors to standardized output tracing. The only clear duplicate-like overlaps are within the GPT-J/CodeGen and GPT-Neo repeats; most cross-model pairings share only the same theme or issue target, not the same concrete code path.", + "confidence": 0.81, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44722 is the best anchor: it is the latest, most complete GPT-J/CodeGen output-tracing refactor, explicitly targets the shared issue, and covers the same concrete files as its closest duplicate variants.", + "best_issue_reason": null, + "best_pr_reason": "44722 is the clearest representative of the cluster\u2019s repeated GPT-J/CodeGen change, making it the most suitable PR to keep as the cluster\u2019s canonical example.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43996", + "right": "pull_request:44085", + "accept": false, + "reason": "Different model families and code paths; same issue target/theme is not enough." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44044", + "accept": false, + "reason": "Different model families and code paths; 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same umbrella theme only." + }, + { + "left": "pull_request:44071", + "right": "pull_request:44722", + "accept": false, + "reason": "MPT versus GPT-J/CodeGen; different code paths." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44085", + "accept": false, + "reason": "GPT-Neo versus GPT-J; same issue target is too broad to merge." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44086", + "accept": false, + "reason": "Different model families and code paths." + }, + { + "left": "pull_request:44068", + "right": "pull_request:44086", + "accept": false, + "reason": "GPT-Neo versus MGP-STR; not the same underlying change." + }, + { + "left": "pull_request:44059", + "right": "pull_request:44086", + "accept": false, + "reason": "GPT-2 versus MGP-STR; same tracing theme only." + }, + { + "left": "pull_request:44098", + "right": "pull_request:44101", + "accept": false, + "reason": "ViLT versus Flaubert/XLM; unrelated code paths." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44071", + "accept": false, + "reason": "GPT-Neo versus MPT; no shared concrete bug or implementation." + }, + { + "left": "pull_request:44059", + "right": "pull_request:44722", + "accept": false, + "reason": "GPT-2 versus GPT-J/CodeGen; not the same change." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44161", + "accept": false, + "reason": "Segformer and LongT5 are different models; only the refactor style overlaps." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44722", + "accept": false, + "reason": "Segformer versus GPT-J/CodeGen; broad theme match only." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44073", + "accept": false, + "reason": "Segformer versus VisualBert; different concrete implementations." + }, + { + "left": "pull_request:44068", + "right": "pull_request:44071", + "accept": false, + "reason": "GPT-Neo versus MPT; not the same code path." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44073", + "accept": false, + "reason": "RegNet versus VisualBert; same output-tracing migration only." + }, + { + "left": "pull_request:44071", + "right": "pull_request:44076", + "accept": false, + "reason": "MPT versus ImageGPT; different concrete model code." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44101", + "accept": false, + "reason": "MPNet versus Flaubert/XLM; no duplicate bug or change." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44017", + "accept": false, + "reason": "RegNet versus Segformer; same general refactor pattern only." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44056", + "accept": false, + "reason": "RegNet versus MPNet; different model code paths." + }, + { + "left": "pull_request:44071", + "right": "pull_request:44076", + "accept": false, + "reason": "MPT versus ImageGPT; unrelated concrete changes." + }, + { + "left": "pull_request:44074", + "right": "pull_request:44101", + "accept": false, + "reason": "TextNet versus Flaubert/XLM; not the same underlying patch." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44161", + "accept": false, + "reason": "MPNet versus LongT5; same refactor theme only." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44018", + "accept": false, + "reason": "RegNet versus GPT-Neo; unrelated code paths." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44161", + "accept": false, + "reason": "RegNet versus LongT5; different concrete changes." + }, + { + "left": "pull_request:44074", + "right": "pull_request:44161", + "accept": false, + "reason": "TextNet versus LongT5; not the same bug or patch." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44161", + "accept": false, + "reason": "GPT-Neo versus LongT5; only the output-tracing theme matches." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44071", + "accept": false, + "reason": "RegNet versus MPT; different model implementations." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44071", + "accept": false, + "reason": "SqueezeBert versus MPT; unrelated concrete change." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44073", + "accept": false, + "reason": "SqueezeBert versus VisualBert; same decorator migration only." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44018", + "accept": false, + "reason": "SqueezeBert versus GPT-Neo; different code paths." + }, + { + "left": "pull_request:44071", + "right": "pull_request:44129", + "accept": false, + "reason": "MPT versus SpeechT5; not the same underlying change." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44074", + "accept": false, + "reason": "RegNet versus TextNet; broad refactor similarity only." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44044", + "accept": false, + "reason": "SqueezeBert versus DeBERTa-v2; different model code." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44074", + "accept": false, + "reason": "DeBERTa-v2 versus TextNet; not the same concrete fix." + }, + { + "left": "pull_request:44066", + "right": "pull_request:44722", + "accept": true, + "reason": "Same GPT-J/CodeGen output-tracing refactor in the same concrete files; 44722 looks like a later, more complete variant." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44722", + "accept": true, + "reason": "Both target the same GPT-J output-tracing change; one is a narrower/superset variant of the same patch." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44129", + "accept": false, + "reason": "GPT-J versus SpeechT5; unrelated code paths." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44007", + "accept": false, + "reason": "CVT/FNet versus RegNet/ResNet; same issue target but not the same concrete change." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44129", + "accept": false, + "reason": "CVT/FNet versus SpeechT5; different model changes." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44129", + "accept": false, + "reason": "DeBERTa-v2 versus SpeechT5; not the same code path." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44154", + "accept": false, + "reason": "DeBERTa-v2 versus ViTS; same tracing refactor theme only." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: the cluster is mostly model-specific output-tracing refactors, and the only clear duplicate-like overlaps are the GPT-J/CodeGen and GPT-Neo variants. The accepted soft pairs are conservative and look mergeable as single bugfix PRs, with shared concrete files and/or the same issue target." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 13, + "component_count": 38, + "review_unit_index": 2, + "review_unit_count": 2, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43996-28", + "nodes": [ + "pull_request:43997", + "pull_request:44010", + "pull_request:44024", + "pull_request:44056", + "pull_request:44073", + "pull_request:44074", + "pull_request:44076", + "pull_request:44129" + ], + "soft_pairs": [ + "pull_request:44024|pull_request:44076", + "pull_request:44073|pull_request:44074", + "pull_request:44056|pull_request:44073", + "pull_request:44056|pull_request:44074", + "pull_request:43997|pull_request:44010", + "pull_request:44010|pull_request:44129" + ], + "prepared_review_unit_hash": "b58a4904b83684ff4ba68a4c45ccc36f6732a66e94651fa02add43b24d993c55", + "component_budget": { + "node_count": 28, + "item_count": 28, + "soft_pair_count": 78, + "serialized_chars": 84902, + "estimated_input_tokens": 21226, + "estimated_eval_tokens": 42708 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 6, + "serialized_chars": 17125, + "estimated_input_tokens": 4282, + "estimated_eval_tokens": 8820 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These PRs are all model-specific migrations to the standardized output-capture/tracing machinery, but they touch different architectures and code paths. They are related refactors, not duplicates that should be merged together.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44129 is the best representative because it has an explicit issue target and shows a concrete end-to-end output-tracing refactor in one model, making it the clearest canonical example of this refactor pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR 44129 is the strongest standalone representative: it is tied to an explicit tracking issue and implements the standardized output capture change in a concrete, reviewable way.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44024", + "right": "pull_request:44076", + "accept": false, + "reason": "Both are output-tracing migrations, but they change different model implementations (FocalNet vs ImageGPT). Same theme, not the same bug or mergeable change." + }, + { + "left": "pull_request:44073", + "right": "pull_request:44074", + "accept": false, + "reason": "VisualBert and TextNet are separate architectures with separate forward/output paths; this is a shared refactor pattern, not a duplicate fix." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44073", + "accept": false, + "reason": "MPNet and VisualBert are unrelated model code paths. They use similar capture_outputs refactoring, but they are distinct PRs." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44074", + "accept": false, + "reason": "These touch different models and different output-tracing implementations, so they should not be merged as duplicates." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44010", + "accept": false, + "reason": "RegNet and SqueezeBert are separate model-specific refactors; the similarity is only the standardized output decorator migration." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44129", + "accept": false, + "reason": "SqueezeBert and SpeechT5 are different code paths and model families. They share the same refactor theme but not the same concrete change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 14, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-43998-13", + "nodes": [ + "pull_request:43998", + "pull_request:43999", + "pull_request:44000", + "pull_request:44001", + "pull_request:44002", + "pull_request:44003", + "pull_request:44004", + "pull_request:44025", + "pull_request:44026", + "pull_request:44027", + "pull_request:44028", + "pull_request:44029", + "pull_request:44030" + ], + "soft_pairs": [ + "pull_request:43998|pull_request:44002", + "pull_request:43998|pull_request:44000", + "pull_request:43998|pull_request:44001", + "pull_request:43998|pull_request:44003", + "pull_request:43998|pull_request:44029", + "pull_request:43999|pull_request:44001", + "pull_request:43999|pull_request:44002", + "pull_request:43999|pull_request:44025", + "pull_request:43999|pull_request:44026", + "pull_request:43999|pull_request:44027", + "pull_request:44000|pull_request:44001", + "pull_request:44000|pull_request:44002", + "pull_request:44000|pull_request:44003", + "pull_request:44000|pull_request:44025", + "pull_request:44001|pull_request:44002", + "pull_request:44001|pull_request:44003", + "pull_request:44001|pull_request:44025", + "pull_request:44002|pull_request:44029", + "pull_request:44002|pull_request:44003", + "pull_request:44003|pull_request:44028", + "pull_request:44003|pull_request:44004", + "pull_request:43998|pull_request:44004", + "pull_request:44001|pull_request:44004", + "pull_request:44002|pull_request:44004", + "pull_request:44000|pull_request:44004", + "pull_request:44025|pull_request:44026", + "pull_request:44025|pull_request:44027", + "pull_request:44025|pull_request:44028", + "pull_request:44025|pull_request:44029", + "pull_request:44025|pull_request:44030", + "pull_request:44026|pull_request:44029", + "pull_request:44026|pull_request:44027", + "pull_request:44026|pull_request:44028", + "pull_request:44026|pull_request:44030", + "pull_request:44027|pull_request:44028", + "pull_request:44027|pull_request:44029", + "pull_request:44027|pull_request:44030", + "pull_request:44028|pull_request:44029", + "pull_request:44028|pull_request:44030", + "pull_request:44029|pull_request:44030" + ], + "prepared_review_unit_hash": "cbffa27cd651cd9d0f595c1b9b59184589fa2ffcdcb05f6f881099e7f2a60bb1", + "component_budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 40, + "serialized_chars": 40172, + "estimated_input_tokens": 10043, + "estimated_eval_tokens": 20342 + }, + "budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 40, + "serialized_chars": 40172, + "estimated_input_tokens": 10043, + "estimated_eval_tokens": 20342 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs all share a similar \"output tracing\" refactor theme, but they target different model implementations and code paths. They are not duplicate fixes and should not be merged together.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No PR is a true duplicate of the others. If one representative is needed, PR 44003 is the broadest example because it spans two related mamba files and best reflects the shared refactor pattern.", + "best_issue_reason": null, + "best_pr_reason": "PR 44003 is the most representative of the cluster\u2019s theme, but it is still a model-specific refactor rather than a duplicate change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43998", + "right": "pull_request:44002", + "accept": false, + "reason": "Different model implementations (timm_backbone vs upernet); same refactor style, but not the same underlying change or code path." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44000", + "accept": false, + "reason": "Different models with separate forward signatures and output-handling logic; too broad to treat as one duplicate PR." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44001", + "accept": false, + "reason": "Unrelated model code paths; both mention output tracing, but they are independent refactors." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44003", + "accept": false, + "reason": "Different architectures and files; the shared theme is only generic refactoring of output tracing." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44029", + "accept": false, + "reason": "timm_backbone and rwkv are unrelated implementations; no same concrete bug or change." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44001", + "accept": false, + "reason": "MobileNetV1 and UnivNet are different model families with different output plumbing." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44002", + "accept": false, + "reason": "No shared concrete code path; only similar modernization of forward/output APIs." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44025", + "accept": false, + "reason": "Different depth-estimation models; not a single duplicate fix." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44026", + "accept": false, + "reason": "MobileNetV1 vs vision_encoder_decoder are unrelated implementation paths." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44027", + "accept": false, + "reason": "Different subsystems and call chains; same refactor motif is insufficient." + }, + { + "left": "pull_request:44000", + "right": "pull_request:44001", + "accept": false, + "reason": "Vision-text dual encoder and UnivNet do not share the same underlying bug or code path." + }, + { + "left": "pull_request:44000", + "right": "pull_request:44002", + "accept": false, + "reason": "Distinct model code paths; not plausibly one merged PR." + }, + { + "left": "pull_request:44000", + "right": "pull_request:44003", + "accept": false, + "reason": "These are separate model refactors, not duplicate fixes." + }, + { + "left": "pull_request:44000", + "right": "pull_request:44004", + "accept": false, + "reason": "Vision-text dual encoder vs CodeGen are unrelated model implementations." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44002", + "accept": false, + "reason": "UnivNet and UperNet are separate models; similarity is only in API cleanup." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44003", + "accept": false, + "reason": "Different model families and different forward logic." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44025", + "accept": false, + "reason": "No shared concrete bug; only common output-tracing refactor pattern." + }, + { + "left": "pull_request:44002", + "right": "pull_request:44029", + "accept": false, + "reason": "UperNet and RWKV have unrelated code paths and behavior." + }, + { + "left": "pull_request:44002", + "right": "pull_request:44003", + "accept": false, + "reason": "Different models; not the same fix." + }, + { + "left": "pull_request:44003", + "right": "pull_request:44028", + "accept": false, + "reason": "Falcon/Mamba refactor vs SuperPoint refactor are separate changes in unrelated files." + }, + { + "left": "pull_request:44003", + "right": "pull_request:44004", + "accept": false, + "reason": "CodeGen and Mamba have different forward contracts and output semantics." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44004", + "accept": false, + "reason": "Different model families; the overlap is only a broad refactoring theme." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44026", + "accept": false, + "reason": "Depth-Anything and Vision-Encoder-Decoder are distinct models with separate output paths." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44027", + "accept": false, + "reason": "Different encoder-decoder/depth models; not a duplicate change." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44028", + "accept": false, + "reason": "Different model code paths and different output objects." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44029", + "accept": false, + "reason": "Depth-anything and RWKV are unrelated implementations." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44030", + "accept": false, + "reason": "No shared underlying bug; only analogous tracing refactors." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44027", + "accept": false, + "reason": "Vision-encoder-decoder and speech-encoder-decoder are different wrappers and separate code paths." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44028", + "accept": false, + "reason": "Vision-encoder-decoder and SuperPoint do not fix the same issue." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44029", + "accept": false, + "reason": "Different models and different output-handling implementations." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44030", + "accept": false, + "reason": "Vision-encoder-decoder and DPR are unrelated; too broad to merge as duplicates." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44028", + "accept": false, + "reason": "Speech-encoder-decoder and SuperPoint are different subsystems with different outputs." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44029", + "accept": false, + "reason": "No shared concrete code-path problem." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44030", + "accept": false, + "reason": "Separate model families; not a duplicate fix." + }, + { + "left": "pull_request:44028", + "right": "pull_request:44029", + "accept": false, + "reason": "SuperPoint and RWKV are unrelated beyond the refactor theme." + }, + { + "left": "pull_request:44028", + "right": "pull_request:44030", + "accept": false, + "reason": "Different models and different output mechanisms." + }, + { + "left": "pull_request:44029", + "right": "pull_request:44030", + "accept": false, + "reason": "RWKV and DPR are distinct code paths; same motif is not enough for a duplicate." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 15, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-44662-2", + "nodes": [ + "pull_request:44662", + "pull_request:45401" + ], + "soft_pairs": [ + "pull_request:44662|pull_request:45401" + ], + "prepared_review_unit_hash": "37d6aff4c67e03ad0a4406ee94dd72501da532056c63b02e3e86b545ec93d7e5", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6551, + "estimated_input_tokens": 1638, + "estimated_eval_tokens": 3532 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6551, + "estimated_input_tokens": 1638, + "estimated_eval_tokens": 3532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate model-addition PRs (PenguinVL vs. Voxtral TTS) that only overlap on shared Transformers registration/docs plumbing. They do not appear to fix the same underlying bug or implement the same change, so the soft duplicate edge should be rejected.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45401 is the more self-contained representative of its own change set: it targets Voxtral TTS specifically and has an explicit issue link, whereas the PenguinVL PR is an unrelated model addition.", + "best_issue_reason": null, + "best_pr_reason": "PR #45401 is the stronger standalone PR for this cluster because it is tightly scoped to one model family, has an explicit tracking issue, and the implementation appears cohesive. PR #44662 is a separate, unrelated model integration.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44662", + "right": "pull_request:45401", + "accept": false, + "reason": "Different model integrations for different architectures; shared auto-registration/docs files are expected scaffolding, not evidence of the same fix or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 16, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-44979-2", + "nodes": [ + "pull_request:44979", + "pull_request:45363" + ], + "soft_pairs": [ + "pull_request:44979|pull_request:45363" + ], + "prepared_review_unit_hash": "2471ab64bb38f1aa5ef20195baa27245cac0680448da49c99ac31281e8177c4a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4407, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4407, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both items are fusion-related PRs, but they are not the same change: one introduces a generic Module Fusion API, while the other adds a specific n-to-1 kernel fusion workflow via KernelConfig. Related theme, different code paths and merge goals.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #44979 is the better canonical representative because it introduces the foundational Module Fusion API, which is broader and more central than the draft kernel-config example in #45363.", + "best_issue_reason": null, + "best_pr_reason": "PR #44979 is the strongest overall representative of the cluster: it is non-draft, defines the core abstraction, and has its own implementation/tests rather than being a narrower application of fusion.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44979", + "right": "pull_request:45363", + "accept": false, + "reason": "Reject: these are adjacent fusion features, not the same underlying PR. #44979 adds a generic module-fusion API; #45363 adds a specific kernel-fusion path and example built around KernelConfig." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 17, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45086-2", + "nodes": [ + "pull_request:45086", + "pull_request:45317" + ], + "soft_pairs": [ + "pull_request:45086|pull_request:45317" + ], + "prepared_review_unit_hash": "6e40a263481e5cf212bc10ce7de0ede9f7cb3122a8459ef32cbca86c0a24fb6b", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4414, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4414, + "estimated_input_tokens": 1104, + "estimated_eval_tokens": 2464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests fix the same AttributeError in `_patch_mistral_regex` by switching from `backend_tokenizer.pre_tokenizer` to `tokenizer.pre_tokenizer`; the second PR adds tests but targets the same code path.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45317 is the more complete representative: it contains the same fix as #45086 plus test coverage, and its title is clearer about the failing path.", + "best_issue_reason": null, + "best_pr_reason": "PR #45317 is the best PR to keep as the canonical representative because it addresses the same bug with added validation and is the more polished, self-contained change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45086", + "right": "pull_request:45317", + "accept": true, + "reason": "Same underlying bug and fix in `_patch_mistral_regex`; both change the same lines to use `tokenizer.pre_tokenizer`, and the second PR just adds tests." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 18, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45115-3", + "nodes": [ + "pull_request:45115", + "pull_request:45569", + "pull_request:46565" + ], + "soft_pairs": [ + "pull_request:45115|pull_request:45569", + "pull_request:45569|pull_request:46565" + ], + "prepared_review_unit_hash": "082a0ebe77536937a4b21c2966d70e79c26282b46852cdddcdead74f25a8e483", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 9123, + "estimated_input_tokens": 2281, + "estimated_eval_tokens": 4818 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 9123, + "estimated_input_tokens": 2281, + "estimated_eval_tokens": 4818 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related by Nemotron naming/model-family work, but they are not the same underlying change: one is a narrow NemotronH refactor, one introduces the NemotronH dense/sparse split and docs, and one adds a separate Nemotron 3.5 ASR model. No duplicate PR pair stands out.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45569 is the best representative of the cluster because it is the broadest NemotronH-focused change, adding the dense/sparse model split, auto mappings, docs, and tests; #45115 is a narrower refactor, and #46565 is a different model family.", + "best_issue_reason": null, + "best_pr_reason": "PR #45569 is the strongest cluster anchor: it covers the main NemotronH architecture/productization work rather than just a refactor, and it is more complete than #45115 while being unrelated to #46565.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45115", + "right": "pull_request:45569", + "accept": false, + "reason": "Both touch NemotronH internals, but #45115 is a conversion/refactor to GraniteMoeHybrid-compatible naming, while #45569 introduces the dense/sparse split and broader model packaging. Related subsystem, different concrete change." + }, + { + "left": "pull_request:45569", + "right": "pull_request:46565", + "accept": false, + "reason": "These are different model efforts: #45569 is NemotronH dense/sparse refactoring, while #46565 adds Nemotron 3.5 ASR streaming. They do not fix the same code-path problem and would not plausibly merge into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 19, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45332-2", + "nodes": [ + "pull_request:45332", + "pull_request:45333" + ], + "soft_pairs": [ + "pull_request:45332|pull_request:45333" + ], + "prepared_review_unit_hash": "5606382242923bfc8c9aea805cda8a316a23e23efb47a37ba855d497cdc45564", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5466, + "estimated_input_tokens": 1367, + "estimated_eval_tokens": 2990 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5466, + "estimated_input_tokens": 1367, + "estimated_eval_tokens": 2990 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are related parts of a broader heterogeneous-model feature, but they target different layers: one adds heterogeneous config support, the other adds model/runtime support. They are complementary rather than duplicate changes.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45332 is the broader umbrella change and the most representative cluster member: it spans cache/model/masking/heterogeneity code paths and includes the larger end-to-end feature surface.", + "best_issue_reason": null, + "best_pr_reason": "PR #45332 is the best single PR to represent the cluster because it covers the larger, more integrated heterogeneous-model implementation rather than just the configuration layer.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45332", + "right": "pull_request:45333", + "accept": false, + "reason": "They are closely related but not the same underlying change: #45333 introduces per-layer heterogeneous configuration, while #45332 adds runtime/model support that consumes it. They could coexist in one feature series, but they do not appear to be duplicate fixes for the same concrete code-path problem." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 20, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45415-2", + "nodes": [ + "pull_request:45415", + "pull_request:45425" + ], + "soft_pairs": [ + "pull_request:45415|pull_request:45425" + ], + "prepared_review_unit_hash": "73d86a3e2efdd9b47978c5fea51f1872927b9684d2be71e393c8e9e069da562f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5514, + "estimated_input_tokens": 1379, + "estimated_eval_tokens": 3014 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5514, + "estimated_input_tokens": 1379, + "estimated_eval_tokens": 3014 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at a high level (typing cleanup), but they are not the same change: one is a broad type-checking sweep across many `src/transformers/*.py` files, while the other adds shared typing helpers/protocols used by a few modules. I would not merge them as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 45415 is the better canonical PR for the cluster because it is the broader umbrella type-checking sweep touching many Transformers modules and reflects the main theme of the group.", + "best_issue_reason": null, + "best_pr_reason": "PR 45425 is the strongest standalone PR: it is a focused typing-infrastructure change with clear code-level purpose (shared protocols/aliases for downstream typing) rather than a wide mechanical sweep.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45415", + "right": "pull_request:45425", + "accept": false, + "reason": "Both are type-related, but they target different concrete changes. 45415 is a broad mypy/typing cleanup across many files, while 45425 introduces shared typing aliases/protocols for specific integrations. They are not the same underlying fix and would not plausibly collapse into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 21, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45513-2", + "nodes": [ + "pull_request:45513", + "pull_request:46084" + ], + "soft_pairs": [ + "pull_request:45513|pull_request:46084" + ], + "prepared_review_unit_hash": "c34e39a87469de8054d235571e0f78d55c20bf278eac6766aee760310546be96", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4949, + "estimated_input_tokens": 1238, + "estimated_eval_tokens": 2732 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4949, + "estimated_input_tokens": 1238, + "estimated_eval_tokens": 2732 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two pull requests with only superficial similarity around cached multi-token forward paths, but they target different model families and different bugs: one fixes linear-attention/GDN cached forward in OLMo/Qwen3.x, the other fixes Mamba2 cache behavior when seq_len > 1.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46084 is the clearest canonical representative because it is narrowly scoped, explicitly tied to issue #46032, and fixes a concrete Mamba2 cache/state path for seq_len > 1 versus seq_len == 1.", + "best_issue_reason": null, + "best_pr_reason": "PR #46084 is the best triage target: it has an explicit issue link, a focused code-path fix, and a straightforward problem statement. PR #45513 is broader and concerns a different set of models and logic.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45513", + "right": "pull_request:46084", + "accept": false, + "reason": "Reject: they are not the same underlying bug. #45513 fixes multi-token cached forward in linear attention/GDN for OLMo/Qwen3.x models, while #46084 fixes Mamba2 use_cache behavior for seq_len > 1. Similar theme, different implementation and code path." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 22, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45548-2", + "nodes": [ + "pull_request:45548", + "pull_request:45662" + ], + "soft_pairs": [ + "pull_request:45548|pull_request:45662" + ], + "prepared_review_unit_hash": "9f1be025ebdeb6980ea13dcb92d3d7685fcb58946dfc920ceff2d7c15756d3c3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4508, + "estimated_input_tokens": 1127, + "estimated_eval_tokens": 2510 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4508, + "estimated_input_tokens": 1127, + "estimated_eval_tokens": 2510 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs concern expert-parallelism loading behavior, but they fix different concrete failures: one adds distributed_config/has_ep plumbing for accelerate + DeepSpeed ZeRO-3 loading, while the other prevents expert weights from being overwritten during FSDP2 rank-0 broadcast.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: the two patches address different bug paths and should not be treated as duplicates.", + "best_issue_reason": null, + "best_pr_reason": "PR 45662 is the stronger representative for the cluster because it covers a concrete correctness bug in distributed expert loading and includes the broader fix across loading and MoE code paths.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45548", + "right": "pull_request:45662", + "accept": false, + "reason": "They share the EP theme and one file, but the bugs differ: 45548 is about preserving distributed_config/has_ep for accelerate + ZeRO-3 loading, while 45662 fixes experts being clobbered by rank-0 broadcast under FSDP2. Not the same underlying change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 23, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45639-2", + "nodes": [ + "pull_request:45639", + "pull_request:45645" + ], + "soft_pairs": [ + "pull_request:45639|pull_request:45645" + ], + "prepared_review_unit_hash": "77d73dbfa26e7e703bc4edd27331caa3eddb03ea947e953ec0d40065137f12b4", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4590, + "estimated_input_tokens": 1148, + "estimated_eval_tokens": 2552 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4590, + "estimated_input_tokens": 1148, + "estimated_eval_tokens": 2552 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs target the same xdist-safe captured_info logging bug around patched testing methods. PR 45639 fixes the file write path in `testing_utils.py`; PR 45645 includes that kind of fix plus the CI/workflow side needed to read multiple `captured_info*.txt` files, so they look like overlapping implementations of one underlying change.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 45645 is the better canonical PR because it covers the core bug fix and the downstream CI/log aggregation changes needed to support the new xdist-safe output behavior.", + "best_issue_reason": null, + "best_pr_reason": "PR 45645 is the strongest representative: it addresses the same artifact-collision problem and includes the broader end-to-end handling, not just the local file-write change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45639", + "right": "pull_request:45645", + "accept": true, + "reason": "Same underlying xdist collision problem for captured_info artifacts, same issue target, and the fixes are complementary pieces of one change: 45639 changes the output file behavior, while 45645 adapts workflow consumption to the new multi-file layout." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 24, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45720-2", + "nodes": [ + "pull_request:45720", + "pull_request:46259" + ], + "soft_pairs": [ + "pull_request:45720|pull_request:46259" + ], + "prepared_review_unit_hash": "99353499b855a68e5118e035e483585e235eacf08bcdba281bf17496fba801e1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7249, + "estimated_input_tokens": 1813, + "estimated_eval_tokens": 3882 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7249, + "estimated_input_tokens": 1813, + "estimated_eval_tokens": 3882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs overlap in broad modeling files, but they implement different linter rules and different code changes, so they are not duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical PR: the PRs target different lint rules and different refactors, despite touching some of the same model files.", + "best_issue_reason": null, + "best_pr_reason": "PR 45720 is the clearer representative of the cluster because it is a focused rule implementation sweep around forward signatures and tuple-return handling.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45720", + "right": "pull_request:46259", + "accept": false, + "reason": "Reject: TRF003 tuple-return/forward-signature changes and TRF018 weight-init/modeling-rule changes are different underlying refactors; shared filenames are broad subsystem overlap, not the same fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 25, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45737-2", + "nodes": [ + "pull_request:45737", + "pull_request:45738" + ], + "soft_pairs": [ + "pull_request:45737|pull_request:45738" + ], + "prepared_review_unit_hash": "cc2ade73a49ec6a8883a7a24c433988645588bcd049e8aad2bce56b1b24daa1c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4131, + "estimated_input_tokens": 1033, + "estimated_eval_tokens": 2322 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4131, + "estimated_input_tokens": 1033, + "estimated_eval_tokens": 2322 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs address the same MusicgenMelody cache initialization bug in `forward()`: replacing `EncoderDecoderCache(DynamicCache, DynamicCache)` with a single `DynamicCache`. PR #45737 is the more complete duplicate because it bundles the fix with a regression test, while #45738 is the fix-only variant.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45737 is the best canonical PR because it contains the same code fix as #45738 plus a regression test, making it the most complete representation of the bug fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #45737 is the strongest overall candidate: it fixes the concrete cache bug and adds a targeted regression test, whereas #45738 only changes the implementation.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45737", + "right": "pull_request:45738", + "accept": true, + "reason": "Same underlying code-path bug in `musicgen_melody` cache setup; the diffs match on the core fix and the test-only addition in #45737 could plausibly live in the same PR as #45738." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet: both PRs make the same `musicgen_melody` cache initialization change, and #45737 only adds a regression test on top of that fix. The soft-edge accept is conservative enough because the diffs are mergeable into one PR for the same bugfix." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 26, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-45932-2", + "nodes": [ + "pull_request:45932", + "pull_request:46100" + ], + "soft_pairs": [ + "pull_request:45932|pull_request:46100" + ], + "prepared_review_unit_hash": "45381e31d39123fefad9881725dcbaa3129a0c011f392886b5d41bcbbc318586", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5160, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5160, + "estimated_input_tokens": 1290, + "estimated_eval_tokens": 2836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two pull requests are not duplicates of the same underlying change. PR 45932 is a broad \u201ctesting grafana\u201d/CI and model-code change, while PR 46100 is a separate test migration focused on kernel/model tests. They touch different files, different purposes, and do not look mergeable into one PR.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": "No single PR is a clear canonical duplicate representative here; the two PRs address different workstreams. If forced to choose one, 45932 is the broader code-change PR, but it is not a duplicate of 46100.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45932", + "right": "pull_request:46100", + "accept": false, + "reason": "Reject: the diffs target different changesets. 45932 alters CI workflow plus several model implementation/mapping files, while 46100 adds kernel test infrastructure and model tests. They do not appear to fix the same concrete bug or implement the same feature, and they would not plausibly be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 27, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46126-2", + "nodes": [ + "pull_request:46126", + "pull_request:46269" + ], + "soft_pairs": [ + "pull_request:46126|pull_request:46269" + ], + "prepared_review_unit_hash": "d59e91143039b1ff0b8c695f0c0a96cc102ceb17d179b211274545c2a3de07f1", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5524, + "estimated_input_tokens": 1381, + "estimated_eval_tokens": 3018 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5524, + "estimated_input_tokens": 1381, + "estimated_eval_tokens": 3018 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are related to distributed training, but they are not the same underlying change. PR #46126 is a focused EP/Trainer integration for tensor-parallel routing behavior, while PR #46269 is a broad distributed-branch base covering many unrelated distributed components and CI changes.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46126 is the more canonical change because it targets one concrete feature/fix path (EP + Trainer integration and routing behavior) with a narrow, coherent scope. PR #46269 is a large umbrella branch with many unrelated distributed edits, so it is not a good canonical representative of this specific change.", + "best_issue_reason": null, + "best_pr_reason": "PR #46126 best represents the specific code-path change implied by the overlap in tensor-parallel/distributed filenames. PR #46269 is too broad and multi-purpose to serve as the best duplicate target for this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46126", + "right": "pull_request:46269", + "accept": false, + "reason": "Reject: they overlap in distributed filenames, but #46126 is a focused EP routing/trainer integration change whereas #46269 is a broad distributed base touching many unrelated areas. They do not appear to fix the same concrete bug or be plausibly mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 28, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46138-10", + "nodes": [ + "pull_request:46138", + "pull_request:46432", + "pull_request:46501", + "pull_request:46502", + "pull_request:46503", + "pull_request:46504", + "pull_request:46554", + "pull_request:46558", + "pull_request:46563", + "pull_request:46716" + ], + "soft_pairs": [ + "pull_request:46138|pull_request:46554", + "pull_request:46138|pull_request:46558", + "pull_request:46138|pull_request:46563", + "pull_request:46138|pull_request:46716", + "pull_request:46138|pull_request:46504", + "pull_request:46432|pull_request:46503", + "pull_request:46432|pull_request:46501", + "pull_request:46432|pull_request:46502", + "pull_request:46432|pull_request:46554", + "pull_request:46432|pull_request:46558", + "pull_request:46501|pull_request:46503", + "pull_request:46501|pull_request:46502", + "pull_request:46501|pull_request:46504", + "pull_request:46501|pull_request:46554", + "pull_request:46502|pull_request:46503", + "pull_request:46502|pull_request:46504", + "pull_request:46502|pull_request:46554", + "pull_request:46503|pull_request:46504", + "pull_request:46503|pull_request:46554", + "pull_request:46504|pull_request:46554", + "pull_request:46504|pull_request:46558", + "pull_request:46554|pull_request:46558", + "pull_request:46554|pull_request:46563", + "pull_request:46554|pull_request:46716", + "pull_request:46558|pull_request:46563", + "pull_request:46558|pull_request:46716", + "pull_request:46563|pull_request:46716", + "pull_request:46504|pull_request:46563", + "pull_request:46504|pull_request:46716" + ], + "prepared_review_unit_hash": "efeb97287fe6d06b765cdb9ecc8db6cba1a695535fbaee739c81b6429c7bd771", + "component_budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 29, + "serialized_chars": 25924, + "estimated_input_tokens": 6481, + "estimated_eval_tokens": 13218 + }, + "budget": { + "node_count": 10, + "item_count": 10, + "soft_pair_count": 29, + "serialized_chars": 25924, + "estimated_input_tokens": 6481, + "estimated_eval_tokens": 13218 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly a set of unrelated workflow-maintenance PRs. A few touch the same `.github/workflows/pr-ci-security-gate.yml` file, but they make different concrete changes, so they are not true duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46554 is the best representative of the cluster\u2019s tightest subgroup because it is the most substantial `pr-ci-security-gate.yml` change and sits at the center of the strongest similarity links, even though the cluster is not made of duplicates.", + "best_issue_reason": null, + "best_pr_reason": "PR 46554 is the most suitable anchor if one PR must represent this cluster: it is the clearest security-gate workflow update and has the strongest overlap with the other same-file PRs, but it should not be treated as a duplicate of them.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46138", + "right": "pull_request:46554", + "accept": false, + "reason": "Different workflow files and different changes: self-comment CI stdin handling vs. pr-ci security-gate checkout/diff logic." + }, + { + "left": "pull_request:46138", + "right": "pull_request:46558", + "accept": false, + "reason": "Unrelated workflow updates in different files; no shared concrete bug or code path." + }, + { + "left": "pull_request:46138", + "right": "pull_request:46563", + "accept": false, + "reason": "Different workflows and different purposes; not the same fix." + }, + { + "left": "pull_request:46138", + "right": "pull_request:46716", + "accept": false, + "reason": "Different workflow file and different security-gate adjustment; not duplicate work." + }, + { + "left": "pull_request:46138", + "right": "pull_request:46504", + "accept": false, + "reason": "Different CI workflows and unrelated shell/input handling changes." + }, + { + "left": "pull_request:46432", + "right": "pull_request:46503", + "accept": false, + "reason": "Different workflow files and unrelated changes; one is SSH runner hardening, the other benchmark dispatch support." + }, + { + "left": "pull_request:46432", + "right": "pull_request:46501", + "accept": false, + "reason": "Same broad CI area, but different workflow and different fix." + }, + { + "left": "pull_request:46432", + "right": "pull_request:46502", + "accept": false, + "reason": "Different workflow files and unrelated behavior changes." + }, + { + "left": "pull_request:46432", + "right": "pull_request:46554", + "accept": false, + "reason": "SSH runner hardening vs. PR CI security-gate logic are different concrete changes." + }, + { + "left": "pull_request:46432", + "right": "pull_request:46558", + "accept": false, + "reason": "Different workflow file and unrelated security/permission tweaks." + }, + { + "left": "pull_request:46501", + "right": "pull_request:46503", + "accept": false, + "reason": "Both touch workflow files, but they change different jobs and different runtime behavior." + }, + { + "left": "pull_request:46501", + "right": "pull_request:46502", + "accept": false, + "reason": "Anti-slop permissions tweak vs. assign-reviewers checkout ref change; not the same underlying bug." + }, + { + "left": "pull_request:46501", + "right": "pull_request:46504", + "accept": false, + "reason": "Different workflow files and different fixes; only a generic CI-maintenance theme." + }, + { + "left": "pull_request:46501", + "right": "pull_request:46554", + "accept": false, + "reason": "Different files and different security model changes; not mergeable as one duplicate fix." + }, + { + "left": "pull_request:46502", + "right": "pull_request:46503", + "accept": false, + "reason": "Different workflow jobs and distinct behavior changes." + }, + { + "left": "pull_request:46502", + "right": "pull_request:46504", + "accept": false, + "reason": "Different workflows; one changes reviewer assignment checkout, the other command input handling." + }, + { + "left": "pull_request:46502", + "right": "pull_request:46554", + "accept": false, + "reason": "Assign-reviewers ref pinning is unrelated to PR CI security-gate logic." + }, + { + "left": "pull_request:46503", + "right": "pull_request:46504", + "accept": false, + "reason": "Benchmark dispatch support and docker-image tag detection are separate workflow concerns." + }, + { + "left": "pull_request:46503", + "right": "pull_request:46554", + "accept": false, + "reason": "Different workflow files and unrelated changes." + }, + { + "left": "pull_request:46504", + "right": "pull_request:46554", + "accept": false, + "reason": "Different workflows and different concrete fixes; same CI theme is too broad." + }, + { + "left": "pull_request:46504", + "right": "pull_request:46558", + "accept": false, + "reason": "Build-image commit-message parsing vs. PR CI gate permissions are unrelated changes." + }, + { + "left": "pull_request:46554", + "right": "pull_request:46558", + "accept": false, + "reason": "Same file, but different fixes: one adds checkout and file checks, the other changes permissions and approval gating." + }, + { + "left": "pull_request:46554", + "right": "pull_request:46563", + "accept": false, + "reason": "Same workflow file, but different concrete change: safety note for reusable workflow vs. checkout/diff-based gate logic." + }, + { + "left": "pull_request:46554", + "right": "pull_request:46716", + "accept": false, + "reason": "Same file, but one changes secrets handling while the other adds security-check logic; not the same bug." + }, + { + "left": "pull_request:46558", + "right": "pull_request:46563", + "accept": false, + "reason": "Same workflow file, but distinct edits to different parts of the gate." + }, + { + "left": "pull_request:46558", + "right": "pull_request:46716", + "accept": false, + "reason": "Different concrete security-gate changes: permissions/approval flow vs. secrets inheritance." + }, + { + "left": "pull_request:46563", + "right": "pull_request:46716", + "accept": false, + "reason": "Both are pr-ci-security-gate updates, but one adds explanatory comments and the other changes secrets propagation." + }, + { + "left": "pull_request:46504", + "right": "pull_request:46563", + "accept": false, + "reason": "Different workflow files and unrelated CI changes." + }, + { + "left": "pull_request:46504", + "right": "pull_request:46716", + "accept": false, + "reason": "Different workflow files and unrelated fixes." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 29, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46152-2", + "nodes": [ + "pull_request:46152", + "pull_request:46207" + ], + "soft_pairs": [ + "pull_request:46152|pull_request:46207" + ], + "prepared_review_unit_hash": "1e302a4c351e8e57f2fa4ba975052d047206e6ce362068d15925690663173afa", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4276, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4276, + "estimated_input_tokens": 1069, + "estimated_eval_tokens": 2394 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related only at the theme level: both replace brittle source-file opening with a safer source inspection approach, but they fix different code paths and different underlying problems, so they should not be deduplicated.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46152 is the broader infrastructure change in import_utils and is the better representative of the cluster theme; PR 46207 is a separate, narrower modeling_utils fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 46152 is the stronger cluster anchor because it addresses the general source-resolution mechanism rather than one specific caller, while still not subsuming PR 46207.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46152", + "right": "pull_request:46207", + "accept": false, + "reason": "Same broad motif (avoid open() on source), but different files, different functions, and different concrete fixes: 46152 adds a traversable resolver in import_utils; 46207 changes _can_set_attn_implementation in modeling_utils to use inspect.getsource. They are not the same underlying bug/change and would not be merged as one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 30, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46154-2", + "nodes": [ + "pull_request:46154", + "pull_request:46196" + ], + "soft_pairs": [ + "pull_request:46154|pull_request:46196" + ], + "prepared_review_unit_hash": "b0abf65fd2a740f7a8596bb583992ad5a8b2ce857fbae3d2620b3d7f7dca0a16", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5700, + "estimated_input_tokens": 1425, + "estimated_eval_tokens": 3106 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5700, + "estimated_input_tokens": 1425, + "estimated_eval_tokens": 3106 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate PRs for enabling SDPA dispatch in different model families: T5 versus wav2vec2/audio models. They share a high-level theme but do not target the same concrete code path, so they should not be treated as duplicates.", + "confidence": 0.92, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46196 is the broader, more representative SDPA-dispatch change across multiple audio model implementations and docs, with substantial review activity and wider scope than the T5-specific PR.", + "best_issue_reason": null, + "best_pr_reason": "PR #46196 is the best cluster representative because it covers the broader underlying feature area (SDPA dispatch for audio models) and has the richer implementation footprint. PR #46154 is narrower and concerns a different model family.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46154", + "right": "pull_request:46196", + "accept": false, + "reason": "Both are about SDPA dispatch, but they modify different model families and code paths (T5 vs wav2vec2/audio stack). They are not the same bug/change and would not plausibly be merged into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 31, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46173-2", + "nodes": [ + "pull_request:46173", + "pull_request:46474" + ], + "soft_pairs": [ + "pull_request:46173|pull_request:46474" + ], + "prepared_review_unit_hash": "8ac88de891156efc041ae6eac2ff2b6f957f37c7ee42f44803b224f91f9b44ec", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3631, + "estimated_input_tokens": 908, + "estimated_eval_tokens": 2072 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 3631, + "estimated_input_tokens": 908, + "estimated_eval_tokens": 2072 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests make the same code change in `src/transformers/cache_utils.py` to widen `StaticLayer.get_seq_length` from `int` to `int | torch.Tensor`; they are near-duplicate implementations of the same fix for issue #45987.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46173 is the better canonical representative because it is the earlier, more explicitly titled version of the same fix and already points to the tracking issue #45987.", + "best_issue_reason": null, + "best_pr_reason": "PR #46173 is the strongest standalone representative of the change: it contains the same minimal patch, the same target issue, and a clearer description of the intended fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46173", + "right": "pull_request:46474", + "accept": true, + "reason": "Same underlying bug fix, same file, same diff hunk, and same explicit issue target (#45987); these are functionally duplicate PRs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs touch the same file, make the same type-annotation change for `StaticLayer.get_seq_length`, and both explicitly target issue #45987. The canonical-pr rationale is also conservative and supported by the titles/metadata. No overstatement beyond the visible diff evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 32, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46174-2", + "nodes": [ + "pull_request:46174", + "pull_request:46780" + ], + "soft_pairs": [ + "pull_request:46174|pull_request:46780" + ], + "prepared_review_unit_hash": "a48ce4ca162f555682f79411d7229ac1ccc08d7822dfab654bb881639fccddbc", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6030, + "estimated_input_tokens": 1508, + "estimated_eval_tokens": 3272 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6030, + "estimated_input_tokens": 1508, + "estimated_eval_tokens": 3272 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two PRs target the same reported MPS crash in the sinusoidal position embedding helper, but they implement different fixes and are not safe to treat as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46174 is the broader, more complete fix for the float64-on-MPS crash: it updates the helper across all affected model files and keeps the internal math on CPU float64 before casting back.", + "best_issue_reason": null, + "best_pr_reason": "PR 46174 is the best representative of the cluster because it is the original, more comprehensive fix and has more discussion/review context than the narrower follow-up.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46174", + "right": "pull_request:46780", + "accept": false, + "reason": "They share the same issue target and helper, but the patches are different solutions: 46174 avoids float64 on MPS by doing the arithmetic on CPU first, while 46780 switches the helper to use dtype for internal arithmetic. Those are alternative implementations, not one mergeable duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 33, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46310-2", + "nodes": [ + "pull_request:46310", + "pull_request:46546" + ], + "soft_pairs": [ + "pull_request:46310|pull_request:46546" + ], + "prepared_review_unit_hash": "492ce8ad662b264537ba626a76ff283cd3d070ce124db13b996d6c5ee526db4a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4851, + "estimated_input_tokens": 1213, + "estimated_eval_tokens": 2682 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4851, + "estimated_input_tokens": 1213, + "estimated_eval_tokens": 2682 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both PRs fix the same off-by-one bug in sliding window masking: the right window boundary used `<` instead of `<=`. The second PR is a broader superset, applying the same fix to Moonshine and Gemma4 and adding tests.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46546 is the better canonical representative because it contains the same boundary fix as 46310, extends it to another affected model implementation, and includes tests.", + "best_issue_reason": null, + "best_pr_reason": "PR 46546 is the strongest overall fix: it addresses the same concrete bug, covers more affected code paths, and is the more complete change set.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46310", + "right": "pull_request:46546", + "accept": true, + "reason": "Same underlying off-by-one right-window boundary bug in the sliding_window_mask_function. 46546 is a superset of 46310's fix rather than a different change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 34, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46376-2", + "nodes": [ + "pull_request:46376", + "pull_request:46417" + ], + "soft_pairs": [ + "pull_request:46376|pull_request:46417" + ], + "prepared_review_unit_hash": "dc94e25d2d12990c0471ebff69582526e9bb760282409e7f64a63643266e5a29", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5939, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5939, + "estimated_input_tokens": 1485, + "estimated_eval_tokens": 3226 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two pull requests are not duplicates. PR 46376 adds multimodal support to continuous batching infrastructure, while PR 46417 adds a new HunYuan VL model package, docs, auto-mappings, and tests. They touch different code paths and solve different problems.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:46417 is the stronger canonical PR for this cluster because it is the larger, self-contained feature addition with substantial model, processor, config, docs, and test coverage.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:46417 is the best representative PR in this set: it is the more complete and externally visible change, whereas pull_request:46376 is a separate infrastructure feature.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46376", + "right": "pull_request:46417", + "accept": false, + "reason": "Different underlying changes: 46376 modifies continuous batching cache/scheduler internals for multimodal support, while 46417 introduces the HunYuan VL model implementation and documentation. They are not the same bug or mergeable into one PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 35, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46574-2", + "nodes": [ + "pull_request:46574", + "pull_request:46580" + ], + "soft_pairs": [ + "pull_request:46574|pull_request:46580" + ], + "prepared_review_unit_hash": "d4e778454f753c4fcc4f011109c988ad8f13efc698f4aa8cd81d66288694ad24", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4410, + "estimated_input_tokens": 1103, + "estimated_eval_tokens": 2462 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4410, + "estimated_input_tokens": 1103, + "estimated_eval_tokens": 2462 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These two PRs are unrelated tokenizer fixes: one corrects CodeLlama decode behavior for leading spaces, the other changes AutoTokenizer selection for specific DeepSeek checkpoints that load the wrong tokenizer class.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:46574", + "right": "pull_request:46580", + "accept": false, + "reason": "Different code paths and symptoms: CodeLlama decoder stripping on decode vs DeepSeek checkpoint-to-tokenizer-class routing. They are not the same underlying bug or change." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 36, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46603-2", + "nodes": [ + "pull_request:46603", + "pull_request:46604" + ], + "soft_pairs": [ + "pull_request:46603|pull_request:46604" + ], + "prepared_review_unit_hash": "7cba58e6fec2b14e8f5a29c00afb35e505e1be48d5291cce94b5e8734dd70ce3", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5495, + "estimated_input_tokens": 1374, + "estimated_eval_tokens": 3004 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5495, + "estimated_input_tokens": 1374, + "estimated_eval_tokens": 3004 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two Mistral tokenizer PRs in the same subsystem, but they address different changes: one is a refactor that moves MistralConverter into the integrations package, while the other adds tekken tokenizer detection/conversion/save support. They overlap in files but not in concrete change scope.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46604 is the more substantial feature work and likely the better anchor for the Mistral tokenizer topic; PR #46603 is a narrower refactor/move of existing converter code.", + "best_issue_reason": null, + "best_pr_reason": "PR #46604 is the best representative of the cluster because it introduces the main user-visible capability change, whereas PR #46603 is mostly code relocation/organization.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46603", + "right": "pull_request:46604", + "accept": false, + "reason": "Different underlying changes: #46603 moves MistralConverter into a new package, while #46604 adds tekken tokenizer detection, conversion, and save utilities. Shared Mistral files alone are not enough to treat them as the same PR or same bug fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 37, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46741-4", + "nodes": [ + "pull_request:46741", + "pull_request:46748", + "pull_request:46773", + "pull_request:46781" + ], + "soft_pairs": [ + "pull_request:46741|pull_request:46781", + "pull_request:46741|pull_request:46773", + "pull_request:46741|pull_request:46748", + "pull_request:46748|pull_request:46781", + "pull_request:46748|pull_request:46773" + ], + "prepared_review_unit_hash": "d9eedb2df8934191687f9c57ee5fc479a17f987cd2b808873a7e147f213e1e7b", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 10654, + "estimated_input_tokens": 2664, + "estimated_eval_tokens": 5584 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 5, + "serialized_chars": 10654, + "estimated_input_tokens": 2664, + "estimated_eval_tokens": 5584 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs all touch hybrid/linear-attention cache paths, but they address different concrete bugs in different code paths: Mamba2 chunked-prefill/speculative decoding, offloaded-cache prefetch device mismatch, padding-mask handling for batch size 1, and QuantizedCache layer construction for hybrid models. They should not be deduplicated together.", + "confidence": 0.93, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46748 is the best representative of the cluster because it fixes a core cache-utils prefetch bug in the shared offloaded-cache path and has the broadest reusable impact on hybrid models.", + "best_issue_reason": null, + "best_pr_reason": "PR #46748 is the strongest canonical PR candidate: it targets a central shared utility, has a clear concrete failure mode, and is broader/more infrastructure-level than the model-specific fixes.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46741", + "right": "pull_request:46781", + "accept": false, + "reason": "Different bugs: #46741 fixes Mamba2/Zamba2 chunked-prefill and speculative decoding state handling, while #46781 fixes QuantizedCache initialization for hybrid SSM+attention models. Same general area, but not the same code-path problem." + }, + { + "left": "pull_request:46741", + "right": "pull_request:46773", + "accept": false, + "reason": "Different model-family fixes: #46741 is about Mamba2-style mixer cache handling during chunked prefill/speculative decoding, whereas #46773 changes padding-mask application for batch-size-1 linear-attention models." + }, + { + "left": "pull_request:46741", + "right": "pull_request:46748", + "accept": false, + "reason": "#46741 is a model forward-path fix; #46748 is a cache prefetch/offload device mismatch fix. They are unrelated concrete bugs despite both involving caches." + }, + { + "left": "pull_request:46748", + "right": "pull_request:46781", + "accept": false, + "reason": "Both touch cache_utils and hybrid models, but the failures differ: #46748 fixes offloaded cache prefetch/device placement, while #46781 fixes QuantizedCache layer selection/crash for hybrid models. Not mergeable as one duplicate change." + }, + { + "left": "pull_request:46748", + "right": "pull_request:46773", + "accept": false, + "reason": "#46748 is about cache offloading/prefetch device mismatch; #46773 is about skipping padding masks when batch size is 1 in linear-attention models. Different symptoms and code paths." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 38, + "component_count": 38, + "review_unit_index": 1, + "review_unit_count": 1, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-46753-2", + "nodes": [ + "pull_request:46753", + "pull_request:46778" + ], + "soft_pairs": [ + "pull_request:46753|pull_request:46778" + ], + "prepared_review_unit_hash": "d4befb28cb7d92ac7de5bef007853e0ef853bcea9183629c40bbfb7c71d4676c", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4478, + "estimated_input_tokens": 1120, + "estimated_eval_tokens": 2496 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4478, + "estimated_input_tokens": 1120, + "estimated_eval_tokens": 2496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Both pull requests implement the same fix in `apply_chat_template` for empty conversations, touching the same code path and tests with only minor wording/test-harness differences. They are duplicate PRs rather than separate changes.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46778 is the better canonical PR: it is the more polished follow-up with clearer error text and the same underlying code-path fix, so it best represents the intended change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 46778 is the strongest representative because it matches PR 46753\u2019s fix while using clearer messaging and slightly more complete test coverage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46753", + "right": "pull_request:46778", + "accept": true, + "reason": "Same underlying bug fix: both add an empty-conversation guard in `apply_chat_template` and update the same test file for the same issue target. Differences are cosmetic, so they are duplicate PRs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: both PRs target the same issue, touch the same files and code path, and differ mainly in the error text plus a test decorator/harness detail. The soft-edge verdict is conservative enough, and these changes look mergeable as a single bugfix PR." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + } + ] +} diff --git a/snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/manifest.json b/snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fd6202a93d900a4e060e818fb0d1ee49fca73f5e --- /dev/null +++ b/snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/manifest.json @@ -0,0 +1,14 @@ +{ + "analysis_id": "hybrid-model-20260621t000031z", + "artifacts": { + "hybrid": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "model": null, + "published_at": "2026-06-21T00:05:12Z", + "repo": "huggingface/transformers", + "schema_version": 1, + "snapshot_id": "20260621T000031Z", + "variant": "hybrid" +} diff --git a/snapshots/20260621T000031Z/manifest.json b/snapshots/20260621T000031Z/manifest.json index a792a72da091fe31fb539180d11dc8139393bc83..fd9f918076e48dbd8b8c02f96f42fa5d7d261bfa 100644 --- a/snapshots/20260621T000031Z/manifest.json +++ b/snapshots/20260621T000031Z/manifest.json @@ -32,6 +32,24 @@ "timeline_events": 30 }, "extracted_at": "2026-06-21T00:00:31Z", + "published_analysis": { + "canonical_analysis_id": "hybrid-model-20260621t000031z", + "runs": { + "hybrid-model-20260621t000031z": { + "analysis_id": "hybrid-model-20260621t000031z", + "artifacts": { + "hybrid": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "manifest_path": "snapshots/20260621T000031Z/analysis-runs/hybrid-model-20260621t000031z/manifest.json", + "model": null, + "published_at": "2026-06-21T00:05:12Z", + "variant": "hybrid" + } + }, + "schema_version": 1 + }, "repo": "huggingface/transformers", "snapshot_id": "20260621T000031Z", "watermark": {