diff --git a/analysis/current/analysis-report-hybrid.json b/analysis/current/analysis-report-hybrid.json index 11a5cf3d08eeb5d2829a8b43995a965eb3eeedac..8f461581c4256e48a7dbf9a0d65da6de32753725 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": "20260525T180030Z", - "generated_at": "2026-05-25T18:21:06Z", + "snapshot_id": "20260526T000122Z", + "generated_at": "2026-05-26T00:06:50Z", "evidence_quality": "full", "llm_enrichment": true, "meta_bugs": [ @@ -1708,229 +1708,6 @@ } ] }, - { - "cluster_id": "cluster-43612-2", - "summary": "Cluster of 2 related pull requests linked by soft_similarity.", - "status": "open", - "confidence": 0.5, - "canonical_issue_number": null, - "canonical_pr_number": 43612, - "issue_numbers": [], - "pr_numbers": [ - 43612, - 43613 - ], - "evidence_types": [ - "soft_similarity" - ], - "pr_comparisons": [ - { - "left_pr_number": 43612, - "right_pr_number": 43613, - "code_similarity": 0.6, - "size_similarity": 0.822, - "file_overlap": 0.333, - "area_overlap": 0.698, - "patch_similarity": 0.608, - "shared_filenames": [ - "docs/source/en/_toctree.yml", - "docs/source/en/main_classes/pipelines.md", - "docs/source/en/model_doc/auto.md", - "src/transformers/__init__.py", - "src/transformers/models/auto/modeling_auto.py", - "src/transformers/pipelines/__init__.py", - "utils/check_docstrings.py", - "utils/update_metadata.py" - ], - "shared_file_areas": [ - { - "filename": "docs/source/en/_toctree.yml", - "left_ranges": [ - [ - 335, - 342 - ] - ], - "right_ranges": [ - [ - 309, - 316 - ] - ] - }, - { - "filename": "docs/source/en/main_classes/pipelines.md", - "left_ranges": [ - [ - 473, - 484 - ] - ], - "right_ranges": [ - [ - 473, - 484 - ] - ] - }, - { - "filename": "docs/source/en/model_doc/auto.md", - "left_ranges": [ - [ - 113, - 122 - ] - ], - "right_ranges": [ - [ - 113, - 122 - ] - ] - }, - { - "filename": "src/transformers/__init__.py", - "left_ranges": [ - [ - 155, - 161 - ], - [ - 664, - 670 - ] - ], - "right_ranges": [ - [ - 155, - 161 - ], - [ - 664, - 670 - ] - ] - }, - { - "filename": "src/transformers/models/auto/modeling_auto.py", - "left_ranges": [ - [ - 1629, - 1642 - ], - [ - 1807, - 1816 - ], - [ - 1840, - 1849 - ], - [ - 2186, - 2192 - ], - [ - 2233, - 2239 - ] - ], - "right_ranges": [ - [ - 1629, - 1646 - ], - [ - 1811, - 1820 - ], - [ - 1844, - 1853 - ], - [ - 2190, - 2196 - ], - [ - 2237, - 2243 - ] - ] - }, - { - "filename": "src/transformers/pipelines/__init__.py", - "left_ranges": [ - [ - 71, - 77 - ], - [ - 108, - 114 - ], - [ - 300, - 311 - ], - [ - 446, - 453 - ] - ], - "right_ranges": [ - [ - 71, - 77 - ], - [ - 108, - 114 - ], - [ - 300, - 311 - ], - [ - 446, - 453 - ] - ] - }, - { - "filename": "utils/check_docstrings.py", - "left_ranges": [ - [ - 109, - 115 - ] - ], - "right_ranges": [ - [ - 109, - 115 - ] - ] - }, - { - "filename": "utils/update_metadata.py", - "left_ranges": [ - [ - 74, - 84 - ] - ], - "right_ranges": [ - [ - 74, - 84 - ] - ] - } - ] - } - ] - }, { "cluster_id": "cluster-46100-2", "summary": "Cluster of 2 related pull requests linked by soft_similarity.", @@ -2283,15 +2060,6 @@ "target_issue_number": 43240, "reason": "PRs in cluster-43240-3 are treated as duplicates because they converge on issue #43240 with closing_reference, shared_issue_target evidence." }, - { - "cluster_id": "cluster-43612-2", - "canonical_pr_number": 43612, - "duplicate_pr_numbers": [ - 43613 - ], - "target_issue_number": null, - "reason": "PRs in cluster-43612-2 are treated as duplicates because they share soft_similarity evidence." - }, { "cluster_id": "cluster-43698-3", "canonical_pr_number": 43779, diff --git a/analysis/current/analysis-report-hybrid.llm-reviews.json b/analysis/current/analysis-report-hybrid.llm-reviews.json index 0af0b53cf6230bd84158947d14b7fc929002c777..b1fb53496cab500ab17e35beda8770678c96a4f9 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": "20260525T180030Z", - "generated_at": "2026-05-25T18:21:06Z", + "snapshot_id": "20260526T000122Z", + "generated_at": "2026-05-26T00:06:50Z", "model": "gpt-5.4-mini?service_tier=flex", "reviews": [ { @@ -13,8 +13,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -143,7 +143,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -523,8 +523,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -623,7 +623,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -901,8 +901,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -996,7 +996,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -1244,8 +1244,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -1338,7 +1338,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -1580,8 +1580,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -1674,7 +1674,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -1916,8 +1916,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -2012,7 +2012,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -2266,8 +2266,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -2359,7 +2359,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -2595,8 +2595,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -2688,7 +2688,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -2921,8 +2921,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -3015,7 +3015,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -3257,8 +3257,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -3347,7 +3347,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -3562,8 +3562,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -3652,7 +3652,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -3873,8 +3873,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -3964,7 +3964,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -4191,8 +4191,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -4281,7 +4281,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -4499,8 +4499,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -4590,7 +4590,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -4820,8 +4820,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -4908,7 +4908,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -5111,8 +5111,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -5199,7 +5199,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -5411,8 +5411,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -5502,7 +5502,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -5723,8 +5723,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -5814,7 +5814,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -6125,12 +6125,12 @@ "issue:44514|issue:45381", "issue:41762|issue:44936" ], - "prepared_review_unit_hash": "8314ad4d62f8dff8bb3a4652ed3e450176131603af3295ad2442a64e697c887d", + "prepared_review_unit_hash": "518680f915b0a45b577964f2a57622934f63cc814f770a9d7f5997c92d8b2817", "component_budget": { "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -6138,178 +6138,181 @@ "node_count": 48, "item_count": 48, "soft_pair_count": 25, - "serialized_chars": 35640, - "estimated_input_tokens": 8910, - "estimated_eval_tokens": 18076 + "serialized_chars": 35642, + "estimated_input_tokens": 8911, + "estimated_eval_tokens": 18078 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is a set of mostly unrelated Transformers bugs and regressions spanning tokenization, model loading, config serialization, training APIs, and multimodal processors. Despite some surface-level similarity, none of the listed pairs look like the same underlying bug or change.", - "confidence": 0.96, - "canonical_issue_reason": "issue:45920 is the strongest representative: it is an open, broad regression affecting tokenization across multiple models, with clear user impact and multiple references.", + "summary": "Mostly unrelated transformer bugs were grouped together; only the SigLIP2 pair looks like a true duplicate/root-cause match. The rest share broad subsystems or model families but not the same concrete failure mode.", + "confidence": 0.69, + "canonical_issue_reason": "issue:43493 is the clearest root-cause bug report in the cluster: it describes the SigLIP2 implementation mismatch itself, while issue:43994 reads like a downstream symptom of that same problem. The other items are too heterogeneous to serve as a better canonical for the cluster.", "canonical_pr_reason": null, - "best_issue_reason": "issue:45920 is the best overall issue candidate because it is broad, current, and actionable, and it likely subsumes the highest-value bug report in the set.", + "best_issue_reason": "issue:43493 is the best representative issue because it states the underlying implementation discrepancy directly and is broad enough to subsume the more user-facing nonsensical-output report in issue:43994.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:43404", "right": "issue:45987", "accept": false, - "reason": "Different subsystems: tied-weight loading bug in Mistral3 vs. a cache length return-type bug." + "reason": "Different bugs: tied-weight initialization in Mistral3 vs cache sequence-length return type/shape." }, { "left": "issue:43540", "right": "issue:45823", "accept": false, - "reason": "Both are multimodal, but one is a video-input processing error in Qwen3OmniMoe and the other is a device placement mismatch in Gemma4 PLE." + "reason": "Both are model-forward failures, but on unrelated code paths: Qwen3OmniMoe video input handling vs Gemma4 device-map mismatch." }, { "left": "issue:44737", "right": "issue:45588", "accept": false, - "reason": "XLNet CPU/device inefficiency is unrelated to a flash-attention crash on sink-less models." + "reason": "XLNet CPU tensor allocation bug and flash-attention sink handling are unrelated failures." }, { "left": "issue:43526", "right": "issue:45479", "accept": false, - "reason": "Beit image label reduction bug is unrelated to the sequence-classification zero-loss issue across several models." + "reason": "BeitImageProcessorFast label reduction and sequence-classification zero-loss behavior are different layers and failure modes." }, { "left": "issue:43493", "right": "issue:43994", - "accept": false, - "reason": "Same model family, but one is a HF-vs-JAX implementation discrepancy and the other is bad AutoModel/pipeline outputs for a specific checkpoint." + "accept": true, + "reason": "Same underlying SigLIP2 correctness problem: one reports HF/JAX implementation divergence, the other reports the user-facing bad outputs caused by that divergence." }, { "left": "issue:43756", "right": "issue:45325", "accept": false, - "reason": "Both mention Qwen/rope behavior, but they describe different RoPE bugs in different models and code paths." + "reason": "Both mention RoPE/position ids, but they affect different models and different mechanics (Smollm3 layer usage vs Qwen2.5-VL temporal scaling)." }, { "left": "issue:34567", "right": "issue:36331", "accept": false, - "reason": "Trainer state token counter not updating is separate from a custom compute_loss signature breakage." + "reason": "TrainerState token accounting and CustomTrainer compute_loss signature compatibility are separate trainer bugs." }, { "left": "issue:44291", "right": "issue:44821", "accept": false, - "reason": "Unexpected model init argument during init_empty_weights is unrelated to loading AutoImageProcessor from a URL." + "reason": "Unexpected `_is_hf_initialized` during empty-weight loading is unrelated to loading an AutoImageProcessor from URL." }, { "left": "issue:44913", "right": "issue:46121", "accept": false, - "reason": "Config reload losing rotary_pct is a different bug from rope validation rejecting JSON-loaded lists." + "reason": "Config reload dropping rotary_pct and rope-parameter validation on JSON-loaded lists are different config-path problems." }, { "left": "issue:44062", "right": "issue:45081", "accept": false, - "reason": "Tokenizer AddedToken keyword collision is unrelated to the Mistral regex patch crash." + "reason": "Tokenizer AddedToken argument duplication is unrelated to the Mistral regex-patching backend_tokenizer crash." }, { "left": "issue:44792", "right": "issue:44964", "accept": false, - "reason": "Both involve model loading/testing failures, but they affect different models and failure modes." + "reason": "Different multimodal models and different failures: janus test generation vs Phi-4 multimodal loading." }, { "left": "issue:45357", "right": "issue:45920", "accept": false, - "reason": "Qwen3.5 save_pretrained serialization bug is distinct from the broader AutoTokenizer token-ID regression." + "reason": "Qwen3.5 save_pretrained checkpoint-key corruption and broad AutoTokenizer token-ID regression are not the same bug." }, { "left": "issue:45042", "right": "issue:45081", "accept": false, - "reason": "PIL backend torchvision dependency regression is unrelated to Mistral tokenizer regex handling." + "reason": "Image-processor torchvision dependency regression and Mistral tokenizer regex patching are unrelated." }, { "left": "issue:43452", "right": "issue:44488", "accept": false, - "reason": "Both are loading failures, but one is about gguf_file handling in AutoTokenizer/AutoModel and the other is a specific model load failure." + "reason": "Both are model-loading complaints, but one is specifically gguf_file handling for tokenizer/CausalLM loading; the other is a separate model load failure without enough evidence of the same root cause." }, { "left": "issue:43742", "right": "issue:44589", "accept": false, - "reason": "MobileLLM key lookup failure and Float8 storage lookup failure are separate loading/runtime issues." + "reason": "A key-error when loading MobileLLM and missing Float8 storage class are distinct loading/runtime failures." }, { "left": "issue:43643", "right": "issue:45375", "accept": false, - "reason": "AutoConfig missing fields with trust_remote_code is a different config-loading issue from strict-dropping a Qwen3_5MoeVisionConfig field." + "reason": "Missing fields from trust_remote_code AutoConfig and strict-dropping a specific Qwen3.5MoeVisionConfig field are not the same concrete issue." }, { "left": "issue:43531", "right": "issue:44821", "accept": false, - "reason": "Qwen3-MoE sliding_window behavior is unrelated to loading an image processor from a URL." + "reason": "Sliding-window behavior in Qwen3-MoE and AutoImageProcessor URL loading are unrelated." }, { "left": "issue:45405", "right": "issue:45600", "accept": false, - "reason": "Unreleased PEFT version bump is a dependency metadata issue, not the same as stale auto_mappings references breaking CI." + "reason": "Package version pinning for PEFT and stale auto_mappings references are different CI/release issues." }, { "left": "issue:44625", "right": "issue:44877", "accept": false, - "reason": "Qwen3.5 num_labels propagation bug is distinct from strict config blocking granite_speech loading." + "reason": "num_labels propagation in Qwen3.5 and strict config loading for granite_speech are separate config bugs." }, { "left": "issue:43906", "right": "issue:46202", "accept": false, - "reason": "An isolated reproduction of another issue is not the same as the Gemma pipeline roundtrip failure." + "reason": "The former is just a reproduction of issue 38071; the latter is a Gemma pipeline roundtrip bug with no clear evidence it is the same underlying issue." }, { "left": "issue:43697", "right": "issue:45216", "accept": false, - "reason": "RTDetrV2 output drift in v5 is unrelated to Qwen3.5 save_pretrained checkpoint corruption." + "reason": "RTDetrV2 output drift and Qwen3.5 checkpoint save corruption are unrelated regressions." }, { "left": "issue:24643", "right": "issue:29127", "accept": false, - "reason": "DeepSpeed training RuntimeError and LayoutLMv3 box-count error are completely different problems." + "reason": "DeepSpeed training weight-shape runtime error and LayoutLMv3 box-clarity error message are different bugs." }, { "left": "issue:43720", "right": "issue:44898", "accept": false, - "reason": "BitNet packed-weight loading failure is unrelated to Perceiver interpolation on non-default image sizes." + "reason": "BitNet packed-weight loading failure and Perceiver interpolation failure are separate model-specific bugs." }, { "left": "issue:44514", "right": "issue:45381", "accept": false, - "reason": "Both are Qwen2.5-VL-related, but one is processor chat-template batching and the other is video vision_position_ids scaling." + "reason": "Both involve Qwen2.5-VL, but one is chat-template batching and the other is video position-id computation; they are not the same code-path failure." }, { "left": "issue:41762", "right": "issue:44936", "accept": false, - "reason": "Gemma3 ZeRO-3 load failure is unrelated to trainer.evaluate() failing after trainer.train()." + "reason": "Gemma3 ZeRO-3 loading index error and trainer.evaluate-after-train failure are unrelated." } ] }, - "evaluator_result": null, - "evaluator_used": false, + "evaluator_result": { + "accept": true, + "feedback": "The cluster call is grounded in the packet and stays mostly conservative. The only accepted soft edge, issue:43493 vs issue:43994, is plausibly the same SigLIP2 root-cause/symptom pair from the titles, while the rest are reasonably rejected as distinct bugs or insufficiently supported links. The canonical issue choice is also defensible as the broader root-cause report." + }, + "evaluator_used": true, "retried": false, - "accepted_nontrivial_soft_edge": false, + "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null }, @@ -6321,8 +6324,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -6413,7 +6416,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -6640,8 +6643,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -6732,7 +6735,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -6965,8 +6968,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -7056,7 +7059,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -7363,12 +7366,12 @@ "issue:39692|issue:46192", "issue:45520|issue:46178" ], - "prepared_review_unit_hash": "41a86659b29789e33f9696424e5dc27d80127dbea2d2e2f40d6794ba251cbdfa", + "prepared_review_unit_hash": "22f5dac0a5fffbeb020506cc454b1655398ba764d17ec42de3453cc13ded38e4", "component_budget": { "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -7376,201 +7379,201 @@ "node_count": 48, "item_count": 48, "soft_pair_count": 30, - "serialized_chars": 36816, - "estimated_input_tokens": 9204, - "estimated_eval_tokens": 18664 + "serialized_chars": 36818, + "estimated_input_tokens": 9205, + "estimated_eval_tokens": 18666 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is not a duplicate set; it is a loose collection of unrelated transformers issues with only superficial title similarity. None of the soft edges should be merged.", + "summary": "This cluster is heterogeneous: the items span unrelated tokenizer, generation, import, training, flash-attention, multimodal, and config bugs. I found no true duplicate pair among the soft edges, so no mergeable issue cluster emerges.", "confidence": 0.97, - "canonical_issue_reason": "No single canonical issue fits well: the items cover unrelated failures across tokenization, chat templates, flash-attention, model loading, training state, and backend/import behavior.", + "canonical_issue_reason": "No single canonical issue stands out because the set is not a duplicate cluster; the paired items describe different subsystems and different underlying failures.", "canonical_pr_reason": null, - "best_issue_reason": "No issue is a good global representative for the whole cluster; picking one would hide the fact that the pairwise matches are mostly incidental.", + "best_issue_reason": "Issue 44521 is the best standalone anchor only in the sense that it is well-scoped, reproducible, and has active discussion/inbound refs; however, it does not represent the rest of the cluster as duplicates.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:45406", "right": "issue:46121", "accept": false, - "reason": "Gemma4 processor `_tokenizer` attribute error is unrelated to rope validation TypeError." + "reason": "Gemma4Processor _tokenizer AttributeError vs rope-validation TypeError; different code paths and failures." }, { "left": "issue:29942", "right": "issue:30333", "accept": false, - "reason": "Flash Attention 2 test failures and MLFlow job reporting are different subsystems and bugs." + "reason": "Flash Attention 2 test failures are unrelated to MLFlow reporting on failed jobs." }, { "left": "issue:45588", "right": "issue:46050", "accept": false, - "reason": "Sinkless flash-attention `s_aux=None` crash is unrelated to sinq save/load breakage." + "reason": "flash_attention.py sink-less s_aux=None crash is unrelated to sinq save/load quantization breakage." }, { "left": "issue:42490", "right": "issue:43696", "accept": false, - "reason": "Trailing-slash local import warning and CUDA OOM are not the same underlying issue." + "reason": "Local-path import warning has nothing to do with a CUDA OOM on GPT-oss-20b." }, { "left": "issue:43844", "right": "issue:44964", "accept": false, - "reason": "ZeRO-3 gradient anomaly and Phi-4 multimodal loading failure are different code paths." + "reason": "ZeRO-3 gradient anomaly is unrelated to loading Phi-4 multimodal on latest transformers." }, { "left": "issue:44521", "right": "issue:45290", "accept": false, - "reason": "Both involve chat templates, but one is all-zero assistant masks for multimodal inputs and the other is a crash on tool-call messages; not the same bug." + "reason": "Both involve chat template processing, but one is zeroed assistant masks for multimodal inputs and the other is a crash on tool-call messages; not the same bug." }, { "left": "issue:28218", "right": "issue:34567", "accept": false, - "reason": "Tokenizer spacing after added tokens is unrelated to `num_input_tokens_seen` tracking." + "reason": "Tokenizer spacing bug is unrelated to TrainerState token-count tracking." }, { "left": "issue:29159", "right": "issue:32090", "accept": false, - "reason": "Slow/fast tokenizer inconsistency and `_gpu_broadcast_one` NoneType errors are unrelated." + "reason": "Slow/fast tokenizer inconsistency is unrelated to NoneType GPU broadcast errors in Trainer." }, { "left": "issue:43582", "right": "issue:44977", "accept": false, - "reason": "Apple Silicon allocator TypeError is unrelated to Qwen3.5 flash-attention generation failure." + "reason": "Apple Silicon allocator TypeError is unrelated to Qwen3.5 flash-attention generation behavior." }, { "left": "issue:44554", "right": "issue:45446", "accept": false, - "reason": "MPS attention correctness and a PyTorch version check bug are different issues." + "reason": "MPS attention correctness issue is unrelated to the flex_attention PyTorch version check." }, { "left": "issue:45084", "right": "issue:45520", "accept": false, - "reason": "Non-template-node compile error and Python 3.13 flash_attn import KeyError are unrelated." + "reason": "Template-node compilation error is unrelated to the Python 3.13 flash_attn import KeyError." }, { "left": "issue:43540", "right": "issue:45200", "accept": false, - "reason": "Qwen3OmniMoe video-processing error and Gemma4 token-type-id defaulting are different bugs." + "reason": "Video-input ValueError in Qwen3OmniMoe is unrelated to Gemma4 mm_token_type_ids defaults." }, { "left": "issue:15354", "right": "issue:38175", "accept": false, - "reason": "TorchScript GeneratorExp export failure is unrelated to SigLIP2 zero probabilities." + "reason": "torch.jit.script GeneratorExp export failure is unrelated to SigLIP2 zero probabilities." }, { "left": "issue:45072", "right": "issue:45198", "accept": false, - "reason": "bf16 dtype mismatch CI failure and Wav2Vec2 save/tokenization failure are not the same problem." + "reason": "bfloat16 dtype mismatches in inference are unrelated to Wav2Vec2 save_pretrained/tokenization failures." }, { "left": "issue:45200", "right": "issue:45823", "accept": false, - "reason": "Gemma4 mm_token_type_ids handling and PLE device-mapping mismatch are distinct forward-pass issues." + "reason": "Gemma4 text-only fine-tuning mask defaults and Gemma4 PLE device placement are different bugs." }, { "left": "issue:37428", "right": "issue:43957", "accept": false, - "reason": "Different import/load failures affecting different symbols and model-loading paths." + "reason": "Missing flash-attention helper import and meta-device model loading are separate import/loading regressions." }, { "left": "issue:43232", "right": "issue:44849", "accept": false, - "reason": "Generation kwargs sync bug and Qwen3.5 hidden-states bug are unrelated." + "reason": "Generation kwargs sync bug is unrelated to Qwen3.5 output_hidden_states behavior." }, { "left": "issue:44186", "right": "issue:46192", "accept": false, - "reason": "LayoutLMv2 NER/padding crash and `return_tensors` being ignored are different tokenizer behaviors." + "reason": "LayoutLMv2 NER/padding crash is unrelated to return_tensors being ignored with explicit text_kwargs." }, { "left": "issue:43493", "right": "issue:43701", "accept": false, - "reason": "SigLIP2 implementation mismatch and checkpoint resume key mismatch do not share a code-path." + "reason": "SigLIP2 HF/JAX discrepancy is unrelated to resume-from-checkpoint key mismatch." }, { "left": "issue:45823", "right": "issue:46192", "accept": false, - "reason": "Gemma4 device mismatch and `return_tensors` ignore are unrelated processing bugs." + "reason": "Gemma4 device-map mismatch is unrelated to return_tensors/text_kwargs precedence." }, { "left": "issue:44315", "right": "issue:44849", "accept": false, - "reason": "Liger Kernel not applied via `model_init` is unrelated to Qwen3.5 hidden-state output behavior." + "reason": "Liger Kernel not applied in model_init is unrelated to the Qwen3.5 hidden-states bug." }, { "left": "issue:43295", "right": "issue:44610", "accept": false, - "reason": "Processor/tokenizer API regression and OmDet processor image-size mismatch are different model families and failures." + "reason": "Processor.tokenizer regression is unrelated to OmDet-Turbo producing the wrong image size." }, { "left": "issue:43295", "right": "issue:43450", "accept": false, - "reason": "Processor/tokenizer regression and batched video shape bug are unrelated." + "reason": "processor.tokenizer/images regression is unrelated to video processor batched-shape output." }, { "left": "issue:44554", "right": "issue:45356", "accept": false, - "reason": "MPS attention correctness bug and Kimi-K2.5 tokenizer codec regression are unrelated." + "reason": "MPS attention correctness issue is unrelated to Kimi-K2.5 tokenizer codec regression." }, { "left": "issue:43572", "right": "issue:44987", "accept": false, - "reason": "StableLm config `pad_token_idx` regression and physical-intelligence/fast load failure are different issues." + "reason": "StableLmConfig pad_token_idx regression is unrelated to a model-loading failure for physical-intelligence/fast." }, { "left": "issue:37428", "right": "issue:43824", "accept": false, - "reason": "Both are import errors, but they involve different missing symbols and model paths; not the same bug." + "reason": "Different import errors: missing flash-support helper vs missing Qwen2.5-VL class." }, { "left": "issue:43572", "right": "issue:43957", "accept": false, - "reason": "Missing `pad_token_idx` in StableLmConfig is unrelated to meta-device model loading breakage." + "reason": "pad_token_idx config regression is unrelated to meta-device loading failures." }, { "left": "issue:45200", "right": "issue:45325", "accept": false, - "reason": "Gemma4 token-type defaults and Qwen2.5-VL temporal RoPE scaling are different mechanisms." + "reason": "Gemma4 token-type-id defaults and Qwen2.5-VL rope scaling are distinct multimodal bugs." }, { "left": "issue:39692", "right": "issue:46192", "accept": false, - "reason": "SigLIP2 documentation errors are unrelated to `return_tensors` being ignored." + "reason": "SigLIP2 docs errors are unrelated to return_tensors being ignored in tokenizer kwargs." }, { "left": "issue:45520", "right": "issue:46178", "accept": false, - "reason": "flash_attn backend KeyError on Python 3.13 and tensorflow_text backend lookup error are unrelated import/config issues." + "reason": "flash_attn KeyError on Python 3.13 is unrelated to BACKENDS_MAPPING tensorflow_text validation." } ] }, @@ -7589,8 +7592,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -7680,7 +7683,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -7901,8 +7904,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -7993,7 +7996,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -8223,8 +8226,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -8314,7 +8317,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -8619,12 +8622,12 @@ "issue:44610|issue:45412", "issue:43824|issue:44279" ], - "prepared_review_unit_hash": "b56ac7102ffbd5e201e0cdfebe12109ead5409c6b3afc2d9b4c674bc9cd59590", + "prepared_review_unit_hash": "d385ad560285e18fc5faed98df5db2b779084ecbf910199c68e5c072396960e9", "component_budget": { "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -8632,189 +8635,183 @@ "node_count": 48, "item_count": 48, "soft_pair_count": 28, - "serialized_chars": 36084, - "estimated_input_tokens": 9021, - "estimated_eval_tokens": 18298 + "serialized_chars": 36086, + "estimated_input_tokens": 9022, + "estimated_eval_tokens": 18300 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "The items are a heterogeneous set of unrelated bugs/features. None of the soft pairs look like the same underlying issue, so all candidate duplicate links should be rejected.", - "confidence": 0.93, - "canonical_issue_reason": null, + "summary": "This set is highly heterogeneous: the soft pairs mostly share only broad themes like tokenizers, generation, quantization, or vision models, but they describe different concrete failures and code paths. I would not merge any of the proposed soft edges.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because this is not a true duplicate cluster; it mixes unrelated bugs across tokenizer loading, training, quantization, vision processors, and export/runtime behavior.", "canonical_pr_reason": null, - "best_issue_reason": null, + "best_issue_reason": "If forced to pick one representative, #44462 is the cleanest self-contained regression, but it still does not explain the rest of the set and should not be treated as the cluster anchor.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:44448", "right": "issue:44466", "accept": false, - "reason": "Different regressions: Pegasus output differences vs lm_head.weight serialization/tied-weights behavior." + "reason": "Both involve v5 regressions, but one is generation output and the other is serialization of lm_head.weight; different code paths and symptoms." }, { "left": "issue:45245", "right": "issue:45563", "accept": false, - "reason": "Unrelated: category-count overflow error vs stale num_return_sequences warning in paged generate()." + "reason": "Category-count runtime error vs a stale warning in paged generate(); unrelated failures." }, { "left": "issue:43653", "right": "issue:44743", "accept": false, - "reason": "Different components and failure modes: BigBirdTokenizer special-token decode vs Qwen3.5 recurrent state reset." + "reason": "Tokenizer special-token decode bug vs Qwen recurrent-state/cache behavior; not the same bug." }, { "left": "issue:25251", "right": "issue:32090", "accept": false, - "reason": "Top-k pipeline nested-list output is unrelated to Trainer NoneType broadcast errors." + "reason": "Pipeline output nesting change and Trainer NoneType broadcast error are unrelated." }, { "left": "issue:44206", "right": "issue:44479", "accept": false, - "reason": "Different subsystems: LasrFeatureExtractor center-arg crash vs Qwen VL video-input regression." + "reason": "Feature extractor center-arg crash vs Qwen video-input regression; different components and failure modes." }, { "left": "issue:43065", "right": "issue:43994", "accept": false, - "reason": "Sam3PixelDecoder dummy Conv2d is unrelated to SigLIP2 AutoModel/pipeline bad results." + "reason": "SAM3 pixel decoder dummy layer vs SigLIP2 model/processor mismatch; not the same underlying issue." }, { "left": "issue:45372", "right": "issue:45459", "accept": false, - "reason": "Separate tokenizer/processor import issues: ReasoningEffort missing vs protobuf-decode errors being hidden." + "reason": "Gemma 4 processor import failure vs protobuf error masking in tokenizers; separate root causes." }, { "left": "issue:44186", "right": "issue:45198", "accept": false, - "reason": "Different tokenizers and failures: LayoutLMv2 NER/padding crash vs Wav2Vec2 save/tokenization failure." - }, - { - "left": "issue:43065", - "right": "issue:45412", - "accept": false, - "reason": "Model architecture placeholder vs RT-DETR memory not being released." + "reason": "LayoutLMv2 tokenizer crashes on NER/padding vs Wav2Vec2 save/tokenization failure; unrelated tokenizers." }, { "left": "issue:44871", "right": "issue:44977", "accept": false, - "reason": "EOS config mismatch is unrelated to Qwen3.5 flash-attention generation bugs." + "reason": "EOS token config mismatch vs flash-attention generation regression; different bugs." }, { "left": "issue:43611", "right": "issue:46121", "accept": false, - "reason": "Base-model-prefix loading regression is distinct from rope validation TypeError on JSON-loaded lists." + "reason": "base_model_prefix loading regression and RoPE validation TypeError are unrelated." }, { "left": "issue:44361", "right": "issue:45198", "accept": false, - "reason": "MLukeTokenizer AttributeError and Wav2Vec2 save/tokenization problems are different code paths." + "reason": "MLuke tokenizer AttributeError vs Wav2Vec2 tokenization/save failure; not the same issue." }, { "left": "issue:32090", "right": "issue:33290", "accept": false, - "reason": "Trainer broadcast NoneType error is unrelated to AdaFactor + DeepSpeed OOM." + "reason": "Trainer broadcast NoneType error vs DeepSpeed Adafactor OOM; unrelated operational problems." }, { "left": "issue:42490", "right": "issue:43873", "accept": false, - "reason": "Local-path import warning and quantization offloading behavior are separate issues." + "reason": "Local-path trailing-slash import warning vs quantization/offloading behavior; different code paths." }, { "left": "issue:42915", "right": "issue:42994", "accept": false, - "reason": "FineGrainedFP8Config failure for Qwen3MoE is different from quantized model saving failure." + "reason": "Both mention quantization, but one fails with FineGrainedFP8Config while the other fails on model saving; not the same bug." }, { "left": "issue:33357", "right": "issue:39692", "accept": false, - "reason": "MacOS bus error with a CLIP model is unrelated to SigLIP2 documentation example mistakes." + "reason": "MacOS bus error loading a CLIP model vs documentation example errors for SigLIP2; unrelated." }, { "left": "issue:29127", "right": "issue:34567", "accept": false, - "reason": "LayoutLMv3 error-message clarity and TrainerState token counter updating are unrelated." + "reason": "LayoutLMv3 error messaging and TrainerState token counting are unrelated." }, { "left": "issue:29942", "right": "issue:30064", "accept": false, - "reason": "Flash Attention 2 test failures do not match void segmentation-map processing failures." + "reason": "Flash Attention test failures vs void-segmentation-map processing failure; different subsystems." }, { "left": "issue:43994", "right": "issue:45412", "accept": false, - "reason": "SigLIP2 inference mismatch is unrelated to RT-DETR memory cleanup." + "reason": "SigLIP2 nonsensical outputs vs RT-DETR memory leak on deletion; unrelated." }, { "left": "issue:44265", "right": "issue:45198", "accept": false, - "reason": "torch.export.export with torch_compilable_check is a different bug from Wav2Vec2 tokenization/save issues." + "reason": "torch.export failure with torch_compilable_check vs Wav2Vec2 save/tokenization failure; not the same concrete bug." }, { "left": "issue:43066", "right": "issue:44462", "accept": false, - "reason": "Tokenizer decoder type bug is unrelated to AutoTokenizer ignoring tokenizer.json." + "reason": "Both are tokenizer-loading related, but decoder-type mismatch and ignoring tokenizer.json are distinct failure modes." }, { "left": "issue:43756", "right": "issue:45440", "accept": false, - "reason": "Smollm3 RoPE-layer count mismatch and DeepseekV3MoE divergence are different model bugs." + "reason": "Smollm3 RoPE-layer issue vs DeepseekV3MoE implementation divergence; unrelated model-specific bugs." }, { "left": "issue:43257", "right": "issue:43278", "accept": false, - "reason": "MoE weight conversion with accelerate/deepspeed is unrelated to embedding dtype drift in eval." + "reason": "Qwen3 MoE weight conversion under accelerate/deepspeed vs BF16-to-FP32 eval dtype change; different problems." }, { "left": "issue:43421", "right": "issue:45491", "accept": false, - "reason": "Runtime post-processor updates and Gemma3 NaN embeddings are separate tokenizer/model problems." + "reason": "Runtime post-processor update bug vs Gemma3 NaN embeddings; no shared code-path." }, { - "left": "issue:43653", - "right": "issue:44442", + "left": "issue:43381", + "right": "issue:43701", "accept": false, - "reason": "BigBirdTokenizer mask-token decode bug is not the same as AutoTokenizer failing to load FastSpeech2ConformerTokenizer." + "reason": "Gradient checkpointing in eval mode and resume_from_checkpoint key mismatch are unrelated." }, { - "left": "issue:43381", - "right": "issue:43701", + "left": "issue:43653", + "right": "issue:44442", "accept": false, - "reason": "Gradient checkpointing in eval mode is unrelated to resume_from_checkpoint key mismatches." + "reason": "BigBirdTokenizer special-token decode issue vs FastSpeech2ConformerTokenizer loading failure; different tokenizer paths." }, { "left": "issue:44610", "right": "issue:45412", "accept": false, - "reason": "OmDet-Turbo processor size mismatch is unrelated to RT-DETR memory leaks." + "reason": "Processor input-size mismatch vs memory release bug; unrelated." }, { "left": "issue:43824", "right": "issue:44279", "accept": false, - "reason": "Missing Qwen2.5-VL import is a specific API break, not the same as a generic dependency issue." + "reason": "Missing Qwen2.5-VL import vs generic dependency issue; too broad and not the same underlying defect." } ] }, @@ -8833,8 +8830,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -8920,7 +8917,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -9123,8 +9120,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -9213,7 +9210,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -9428,8 +9425,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -9516,7 +9513,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -9719,8 +9716,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -9810,7 +9807,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -10111,12 +10108,12 @@ "issue:43295|issue:45335", "issue:43526|issue:43901" ], - "prepared_review_unit_hash": "d7500632ffd1006b1d1ec7cea492a4eb0b231ef51f490f0b7a0c20d63b108d4d", + "prepared_review_unit_hash": "430f822f5a08977e4b0d65f2688b590435f41c6adf14308e078fca93842f98ea", "component_budget": { "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -10124,201 +10121,201 @@ "node_count": 48, "item_count": 48, "soft_pair_count": 30, - "serialized_chars": 36663, - "estimated_input_tokens": 9166, - "estimated_eval_tokens": 18588 + "serialized_chars": 36665, + "estimated_input_tokens": 9167, + "estimated_eval_tokens": 18590 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "Mostly same broad Transformers regression family, but the individual reports are about different APIs, models, and failure modes. I would not deduplicate any of the soft pairs.", + "summary": "These issues are mostly broad transformer-loading/config/import regressions that look superficially similar but do not share the same concrete bug or code path. I would not merge any of the soft pairs as duplicates.", "confidence": 0.84, - "canonical_issue_reason": "issue:44964 is the clearest concrete, user-facing loading regression with a specific model and version context, so it is the best representative issue in this mixed set.", + "canonical_issue_reason": "issue:44964 is the clearest concrete user-facing model-load regression in the set and a reasonable anchor for the cluster\u2019s general load/import failure theme.", "canonical_pr_reason": null, - "best_issue_reason": "It is specific, reproducible, and representative of the common \"latest Transformers breaks model loading\" theme.", + "best_issue_reason": "issue:44964 has a specific reproducible failure, a named model, and enough detail to serve as the most representative issue here.", "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "issue:46082", "right": "issue:46121", "accept": false, - "reason": "Different bugs: LlamaConfig head_dim validation vs. rope-parameter JSON list handling." + "reason": "Different config-validation bugs: one rejects head_dim handling in LlamaConfig, the other errors converting rope ignore keys from JSON-loaded lists." }, { "left": "issue:44938", "right": "issue:45542", "accept": false, - "reason": "Unrelated failures: Python 3.14 import/load issue vs. missing TensorFlow backend dependency." + "reason": "Both involve load/init failures, but one is a Python 3.14 import problem and the other is an installation/backend dependency issue for TensorBoard/TF." }, { "left": "issue:39692", "right": "issue:44190", "accept": false, - "reason": "Docs/example errors for SigLIP2 vs. local dataset loading failure in a training script." + "reason": "Different failures in different example scripts: a SigLIP2 docs example/model-processor mismatch versus a local dataset loading problem in an image-classification script." }, { "left": "issue:43479", "right": "issue:45375", "accept": false, - "reason": "Different model configs and different missing/defaulted fields; not the same bug." + "reason": "Both are config-field issues, but they affect different model families and different fields; not the same underlying bug." }, { "left": "issue:45276", "right": "issue:45584", "accept": false, - "reason": "Gemma4 embedding resize bug is unrelated to Whisper empty-transcription generation failure." + "reason": "Unrelated code paths: token embedding resizing in gemma4 versus Whisper generation failing after align_special_tokens." }, { "left": "issue:36246", "right": "issue:41628", "accept": false, - "reason": "Both are import errors, but they concern different symbols and different API breakages." + "reason": "Both are import errors, but for different symbols and APIs; no evidence they stem from the same missing export." }, { "left": "issue:43295", "right": "issue:45276", "accept": false, - "reason": "Processor/tokenizer regression is a different code path from token embedding resizing." + "reason": "Processor/tokenizer regression versus gemma4 embedding resize behavior; different subsystems and failure modes." }, { "left": "issue:45245", "right": "issue:45584", "accept": false, - "reason": "Category-count runtime error and Whisper empty-output bug are unrelated." + "reason": "Category cardinality/runtime encoding error versus Whisper empty-transcription generation bug; unrelated." }, { "left": "issue:43650", "right": "issue:44220", "accept": false, - "reason": "Placeholder data issue vs. audio feature extraction bug; no common underlying defect." + "reason": "No meaningful overlap beyond generic issue wording; insufficient evidence of a shared bug or code path." }, { "left": "issue:44186", "right": "issue:44734", "accept": false, - "reason": "Tokenizer padding/truncation crash is unrelated to serve KV-cache indexing." + "reason": "Tokenizer padding/NER crash and server KV-cache indexing crash are different bugs in different components." }, { "left": "issue:41950", "right": "issue:44016", "accept": false, - "reason": "Pipeline processor lookup bug vs. notebook syntax error; completely different problems." + "reason": "Video-classification pipeline processor lookup bug versus a notebook syntax error; clearly unrelated." }, { "left": "issue:36246", "right": "issue:38617", "accept": false, - "reason": "Both are import failures, but they are for different removed/missing symbols in different modules." + "reason": "Separate import failures in different modules: Qwen2_5_VLImageProcessor versus layer_type_validation." }, { "left": "issue:42175", "right": "issue:44279", "accept": false, - "reason": "Specific missing TensorFlow backend dependency vs. vague dependency issue; not the same fix." + "reason": "A specific missing TensorFlow backend from a torch-only install is not the same as a generic dependency issue." }, { "left": "issue:44246", "right": "issue:45003", "accept": false, - "reason": "Import performance regression is not the same as unsafe sys.modules access." + "reason": "Slow import performance and unsafe sys.modules access may both touch imports, but they are not the same concrete bug." }, { "left": "issue:44683", "right": "issue:45446", "accept": false, - "reason": "Both mention flex_attention, but one is a compiled-kernel failure and the other is a version-check/import gating bug." + "reason": "Both mention flex_attention/torch versions, but one is a compiled flex_attention failure on torch>=2.9 and the other is a version-check bug for an AuxRequest import." }, { "left": "issue:43404", "right": "issue:45216", "accept": false, - "reason": "Mistral3 weight-tying bug and Qwen3.5 save_pretrained regression are different model-specific issues." + "reason": "Different model-state problems: untied lm_head weights in Mistral3 versus incorrect save_pretrained output for Qwen3.5." }, { "left": "issue:38175", "right": "issue:43065", "accept": false, - "reason": "SigLIP2 probability behavior and Sam3PixelDecoder dummy conv are unrelated model bugs." + "reason": "Different models and different symptoms; no shared code path is evident." }, { "left": "issue:44016", "right": "issue:44220", "accept": false, - "reason": "Notebook syntax error vs. audio feature extraction bug; no overlap in code path." + "reason": "Notebook syntax error and audio feature extraction bug are unrelated." }, { "left": "issue:43643", "right": "issue:44496", "accept": false, - "reason": "trust_remote_code field loss and unrecognized model_type are different config-loading failures." + "reason": "Both concern model/config loading, but one is missing fields with trust_remote_code and the other is an unrecognized model/config.json problem." }, { "left": "issue:44734", "right": "issue:45632", "accept": false, - "reason": "Serve KV-cache continuation crash is unrelated to local-model cache-path collision." + "reason": "Server KV-cache continuation indexing bug versus local trust_remote_code cache-path collision; different behaviors and paths." }, { "left": "issue:43854", "right": "issue:44964", "accept": false, - "reason": "Different models and likely different root causes; both are load failures but not the same bug." + "reason": "Different model-loading failures for different models; no evidence of the same root cause." }, { "left": "issue:44964", "right": "issue:45600", "accept": false, - "reason": "Model loading regression vs. auto_mappings CI breakage from removed configs." + "reason": "Model loading failure for Phi-4-multimodal-instruct versus auto_mappings references to removed Sam3LiteText configs; different breakages." }, { "left": "issue:44112", "right": "issue:44964", "accept": false, - "reason": "CI test flake in GraniteSpeech is unrelated to Phi-4 multimodal loading." + "reason": "A CI test flake in GraniteSpeech is not the same as a user-facing Phi-4-multimodal load regression." }, { "left": "issue:44561", "right": "issue:45632", "accept": false, - "reason": "Trust-remote-code breakage from removed helper is different from cache-path collision." + "reason": "Both mention trust_remote_code, but one is breakage from removing is_torch_fx_available and the other is a cache-path collision for local models." }, { "left": "issue:43976", "right": "issue:44987", "accept": false, - "reason": "Python version compatibility issue vs. a specific model loading failure." + "reason": "A general Python-version support bug and a specific model-loading failure are not the same underlying issue." }, { "left": "issue:42907", "right": "issue:43441", "accept": false, - "reason": "Saving dequantized Ministral/Devstral and FlashAttention failures are different failure modes." + "reason": "Same model family only, but the bugs are different: saving dequantized models versus FlashAttention failure." }, { "left": "issue:43531", "right": "issue:45600", "accept": false, - "reason": "Qwen3-MoE sliding_window bug is unrelated to Sam3LiteText auto-mapping CI breakage." + "reason": "Qwen3-MoE sliding_window behavior and Sam3LiteText auto-mapping cleanup are unrelated." }, { "left": "issue:42490", "right": "issue:45632", "accept": false, - "reason": "Trailing-slash import warning and leaf-directory cache collision are different path-handling issues." + "reason": "Both involve local model paths, but one is a trailing-slash warning and the other is a cache-path collision across leaf directory names." }, { "left": "issue:43295", "right": "issue:45335", "accept": false, - "reason": "Processor-tokenizer regression is unrelated to t5gemma embedding resize propagation." + "reason": "Processor/tokenizer regression and t5gemma embedding-resize bug are distinct model behaviors." }, { "left": "issue:43526", "right": "issue:43901", "accept": false, - "reason": "BeitImageProcessorFast label reduction bug and a docs/behavior mismatch for text classification are not duplicates." + "reason": "Image-processor label reduction bug and documentation mismatch for TextClassificationPipeline are unrelated." } ] }, @@ -10337,8 +10334,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -10428,7 +10425,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -10649,8 +10646,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -10738,7 +10735,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -10947,8 +10944,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -11040,7 +11037,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -11273,8 +11270,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -11363,7 +11360,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -11578,8 +11575,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -11669,7 +11666,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -11893,8 +11890,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -11985,7 +11982,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -12212,8 +12209,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -12306,7 +12303,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -12563,8 +12560,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -12652,7 +12649,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -12864,8 +12861,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -12955,7 +12952,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -13182,8 +13179,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -13272,7 +13269,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -13487,8 +13484,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -13578,7 +13575,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -13799,8 +13796,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -13895,7 +13892,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -14152,8 +14149,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -14245,7 +14242,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -14472,8 +14469,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -14566,7 +14563,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -14811,8 +14808,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -14910,7 +14907,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -15164,8 +15161,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -15262,7 +15259,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -15525,8 +15522,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -15627,7 +15624,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -15914,8 +15911,8 @@ "review_unit_count": 50, "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-10000-429", "nodes": [ @@ -15964,7 +15961,7 @@ "node_count": 429, "item_count": 429, "soft_pair_count": 1585, - "serialized_chars": 820589, + "serialized_chars": 820591, "estimated_input_tokens": 205148, "estimated_eval_tokens": 410552 }, @@ -16119,8 +16116,8 @@ "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": [ @@ -16197,8 +16194,8 @@ "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": [ @@ -16268,8 +16265,8 @@ "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": [ @@ -16331,8 +16328,8 @@ "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-27088-6", "nodes": [ @@ -16499,8 +16496,8 @@ "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-36817-16", "nodes": [ @@ -16815,8 +16812,8 @@ "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": [ @@ -16878,8 +16875,8 @@ "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": [ @@ -16941,8 +16938,8 @@ "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": [ @@ -17004,8 +17001,8 @@ "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": [ @@ -17107,8 +17104,8 @@ "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": [ @@ -17229,8 +17226,8 @@ "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": [ @@ -17349,8 +17346,8 @@ "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": [ @@ -17412,8 +17409,8 @@ "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": [ @@ -17475,8 +17472,8 @@ "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": [ @@ -17538,8 +17535,8 @@ "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": [ @@ -17695,12 +17692,12 @@ "pull_request:43823|pull_request:45213", "pull_request:43251|pull_request:43254" ], - "prepared_review_unit_hash": "c9abc291c4e2dad75880798294a9aeb51e022dfa5bb47b37d6d430113a8bb9a9", + "prepared_review_unit_hash": "786b5ddee8619cd2c275fa2af5ca804c3cf84c3d262f47a995ca76e4f31b8c90", "component_budget": { "node_count": 13, "item_count": 13, "soft_pair_count": 18, - "serialized_chars": 34775, + "serialized_chars": 34773, "estimated_input_tokens": 8694, "estimated_eval_tokens": 17644 }, @@ -17708,7 +17705,7 @@ "node_count": 13, "item_count": 13, "soft_pair_count": 18, - "serialized_chars": 34775, + "serialized_chars": 34773, "estimated_input_tokens": 8694, "estimated_eval_tokens": 17644 }, @@ -17717,126 +17714,126 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster is mostly heterogeneous and does not form one duplicate set. The only true duplicate-like pair is the two `fixed_cross_entropy` PRs (#43251 and #43254), which patch the same loss helper for the same underlying kwargs-handling bug. All other pairs are unrelated by code path despite broad topical overlap.", - "confidence": 0.93, + "summary": "This cluster is mostly heterogeneous: it mixes unrelated model additions, docs/tests, and separate fixes. The only true duplicate pair is the two fixed_cross_entropy PRs, which implement the same loss-kwargs passthrough change.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #43251 is the best canonical PR because it directly fixes the tracked `cross_entropy` kwargs bug in `loss_utils.py` with an explicit issue link, and PR #43254 is just a narrower variant of the same fix.", + "canonical_pr_reason": "PR 43251 is the best canonical representative because it directly targets issue 43240 and contains the more explicit, complete implementation of the fixed_cross_entropy kwargs passthrough; PR 43254 is a near-identical alternative for the same fix.", "best_issue_reason": null, - "best_pr_reason": "PR #43251 is the strongest representative of the only real duplicate cluster in this set: it addresses the same `fixed_cross_entropy` bug as #43254 and has the clearest issue linkage and implementation.", + "best_pr_reason": "PR 43251 is the strongest overall representative of the only duplicate change in the set; the rest of the cluster is too diverse to share a single canonical PR.", "soft_edge_verdicts": [ { "left": "pull_request:39895", "right": "pull_request:43424", "accept": false, - "reason": "VideoPrism model integration vs executorch dynamic-shape export test; different subsystems and no shared bug/change." + "reason": "Unrelated features: VideoPrism model addition vs an ExecuTorch dynamic-shape test for decoder-only export." }, { "left": "pull_request:41855", "right": "pull_request:43823", "accept": false, - "reason": "Mistral tokenizer helper methods vs adding MobileLLM model support; unrelated changes." + "reason": "Different tokenizer utility fix vs adding a new MobileLLM model; no shared underlying bug or change." }, { "left": "pull_request:41855", "right": "pull_request:43424", "accept": false, - "reason": "Tokenizer API additions and an executorch export test are not the same underlying change." + "reason": "Mistral tokenizer missing method fix is unrelated to ExecuTorch dynamic-shape export tests." }, { "left": "pull_request:42668", "right": "pull_request:43823", "accept": false, - "reason": "Processor auto-loading robustness vs new MobileLLM model support; broad overlap in modeling infra but not the same fix." + "reason": "Processor-pretrained robustness work is unrelated to introducing MobileLLM." }, { "left": "pull_request:43251", "right": "pull_request:43823", "accept": false, - "reason": "Loss-function kwargs bugfix vs MobileLLM model addition; no common code-path problem." + "reason": "Loss-function kwargs passthrough fix and a new model addition are unrelated." }, { "left": "pull_request:43251", "right": "pull_request:44827", "accept": false, - "reason": "Both touch different areas of training/testing; the loss-helper fix and Mistral4 test changes are not mergeable as one bug fix." + "reason": "Different code paths: loss utility kwargs passthrough vs Mistral4 test/model changes." }, { "left": "pull_request:43424", "right": "pull_request:44827", "accept": false, - "reason": "Executorch dynamic-shape export test vs Mistral4 test fixes; different concrete issues." + "reason": "ExecuTorch export test coverage is unrelated to Mistral4 fixes/tests." }, { "left": "pull_request:43424", "right": "pull_request:43823", "accept": false, - "reason": "Executorch exportability test and MobileLLM model addition are unrelated." + "reason": "Dynamic-shape export tests do not overlap with adding MobileLLM." }, { "left": "pull_request:43823", "right": "pull_request:45655", "accept": false, - "reason": "Adding MobileLLM vs config-resolution ordering fix; no shared underlying defect." + "reason": "New MobileLLM model work is unrelated to config-class resolution ordering." }, { "left": "pull_request:43823", "right": "pull_request:43995", "accept": false, - "reason": "MobileLLM model addition vs Falcon output-collection refactor; different code paths and goals." + "reason": "Adding MobileLLM is unrelated to Falcon output-collection refactoring." }, { "left": "pull_request:43995", "right": "pull_request:44827", "accept": false, - "reason": "Falcon refactor and Mistral4 test fix are separate model-specific changes." + "reason": "Falcon output-interface refactor and Mistral4 test fixes are different model-specific changes." }, { "left": "pull_request:43995", "right": "pull_request:45213", "accept": false, - "reason": "Falcon model refactor vs model-creation skill/docs PR; unrelated." + "reason": "Falcon refactor is unrelated to the model-creation skill/meta PR." }, { "left": "pull_request:44827", "right": "pull_request:45170", "accept": false, - "reason": "Mistral4 test fixes vs CLIP-family weight-renaming cleanup; different model families and bugs." + "reason": "Mistral4 test/model work is unrelated to the layrnorm->layernorm renaming fix." }, { "left": "pull_request:44827", "right": "pull_request:46048", "accept": false, - "reason": "Mistral4 tests vs TDT loss kernel integration; unrelated functionality." + "reason": "Mistral4 fixes are unrelated to adding a TDT loss kernel." }, { "left": "pull_request:44827", "right": "pull_request:45655", "accept": false, - "reason": "Mistral4 test fixes and config-resolution ordering fix are not the same code-path issue." + "reason": "Mistral4 test/model changes do not match the config resolution-order fix." }, { "left": "pull_request:44827", "right": "pull_request:45213", "accept": false, - "reason": "A model test fix and a model-creation skill/docs PR are clearly unrelated." + "reason": "Mistral4 work is unrelated to the model-creation skill/meta PR." }, { "left": "pull_request:43823", "right": "pull_request:45213", "accept": false, - "reason": "New MobileLLM model code vs a model-creation skill/draft PR; not the same underlying change." + "reason": "Adding MobileLLM is unrelated to the model-creation skill/meta PR." }, { "left": "pull_request:43251", "right": "pull_request:43254", "accept": true, - "reason": "Both modify `src/transformers/loss/loss_utils.py` to pass extra `cross_entropy` kwargs and address the same `fixed_cross_entropy` bug, so they could plausibly be merged into one PR." + "reason": "Same underlying fix in src/transformers/loss/loss_utils.py: both add supported kwargs/kwargs passthrough to fixed_cross_entropy for issue 43240, and they could plausibly be merged into one PR." } ] }, "evaluator_result": { "accept": true, - "feedback": "The evaluation is grounded in the packet and stays conservative. The only clearly mergeable duplicate pair is PR #43251/#43254: both edit `src/transformers/loss/loss_utils.py`, both target issue 43240, and both implement the same `fixed_cross_entropy` kwargs bugfix. The remaining pairs are reasonably judged unrelated despite superficial topic overlap." + "feedback": "The summary is well grounded in the packet: the cluster is heterogeneous, and the only clearly duplicate/mergeable pair is PR 43251 and PR 43254, which both modify `src/transformers/loss/loss_utils.py` for issue 43240. The other soft-edge rejections are conservative and consistent with the listed diffs." }, "evaluator_used": true, "retried": false, @@ -17863,7 +17860,7 @@ "soft_pairs": [ "pull_request:40546|pull_request:42781" ], - "prepared_review_unit_hash": "aec7bfddbca0e814bbf51260271bc4632f757cf152f6ab510e7e6ca051c78664", + "prepared_review_unit_hash": "8b7af0e0c13fdd8e8fcfe3dec4e43d9918f222c7a6471aab99e172bcaaa1022e", "component_budget": { "node_count": 2, "item_count": 2, @@ -17885,18 +17882,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs work on VibeVoice, but they are not the same change: #40546 is the core VibeVoice implementation, while #42781 is a draft for VibeVoice Realtime plus the acoustic tokenizer and additional generation/feature-extraction plumbing. They overlap in shared model files, but the concrete scope differs enough that they should not be merged as duplicates.", - "confidence": 0.9, + "summary": "These are related VibeVoice PRs but not duplicates: one adds the base VibeVoice model, while the other adds a separate realtime variant plus an acoustic tokenizer and generation/runtime changes.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "#40546 is the best canonical PR because it is the original, non-draft VibeVoice implementation and provides the core model/docs/auto-registry changes that the later work builds on.", + "canonical_pr_reason": "PR 40546 is the cleaner canonical representative because it introduces the initial VibeVoice implementation and documentation; PR 42781 is a later, distinct realtime extension with additional tokenizer/runtime components.", "best_issue_reason": null, - "best_pr_reason": "#40546 is the better global representative: it is broader, more complete, and non-draft, whereas #42781 is a narrower realtime follow-up with extra tokenizer and generation changes.", + "best_pr_reason": "PR 40546 is the best standalone representative of the underlying feature family since it is the base model integration, whereas PR 42781 targets a different concrete capability (realtime VibeVoice) and broader follow-up codepaths.", "soft_edge_verdicts": [ { "left": "pull_request:40546", "right": "pull_request:42781", "accept": false, - "reason": "Shared VibeVoice files alone are not enough: #40546 implements the base model, while #42781 adds realtime support and an acoustic tokenizer, so they target different concrete functionality and could not be cleanly merged into one PR." + "reason": "Do not merge: 40546 implements VibeVoice itself, while 42781 adds VibeVoice Realtime and an acoustic tokenizer with extra generation/modeling changes. They overlap in model-family files, but they are different concrete changes and not one mergeable fix." } ] }, @@ -17926,12 +17923,12 @@ "soft_pairs": [ "pull_request:40755|pull_request:41224" ], - "prepared_review_unit_hash": "40dfb802ec76acaff4be9386ef635883d9cd98a1573a0add6f664ec8c9dd3dad", + "prepared_review_unit_hash": "41b97244da0b381e1eab4c8009aef9e893a77a8f8a374ca2d864aace2750574a", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4675, + "serialized_chars": 4676, "estimated_input_tokens": 1169, "estimated_eval_tokens": 2594 }, @@ -17939,7 +17936,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4675, + "serialized_chars": 4676, "estimated_input_tokens": 1169, "estimated_eval_tokens": 2594 }, @@ -17948,18 +17945,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The two PRs are unrelated feature additions: TimesFM covariate forecasting versus DINOv3 image-classification support. They do not appear to fix the same bug or implement the same change, so this cluster should not be merged.", - "confidence": 0.98, + "summary": "The two PRs are unrelated feature additions in different model families: TimesFM covariate forecasting vs. DINOv3 image classification support. They do not describe the same underlying change or bug.", + "confidence": 0.99, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: the PRs target different model families, different code paths, and different user-facing features.", + "canonical_pr_reason": "pull_request:41224 is the more focused, better-reviewed feature PR and is the more plausible representative if one PR must be chosen; it is still not a duplicate of pull_request:40755.", "best_issue_reason": null, - "best_pr_reason": "PR #41224 is the more self-contained and better-reviewed change, but it is not a duplicate of #40755.", + "best_pr_reason": "pull_request:41224 is the stronger standalone candidate due to its narrower scope, explicit model support, and much higher review activity.", "soft_edge_verdicts": [ { "left": "pull_request:40755", "right": "pull_request:41224", "accept": false, - "reason": "Different features in different subsystems: TimesFM covariate forecasting versus DINOv3 image classification. They do not share the same underlying bug or change and could not plausibly be merged into one PR." + "reason": "Different subsystems and different changes: TimesFM forecasting with covariates vs. DINOv3 image classification support. They are not the same bug or feature and would not be merged into one PR." } ] }, @@ -18054,7 +18051,7 @@ "pull_request:41797|pull_request:45186", "pull_request:45186|pull_request:45630" ], - "prepared_review_unit_hash": "890774250e31b9e74bcfb49a34e99daa4d87826b1a46009ed9015f796742dc1a", + "prepared_review_unit_hash": "2adad4a8cc33ba2974c99be12ad07643301c1928de51cfffd8e42c54420faeef", "component_budget": { "node_count": 3, "item_count": 3, @@ -18076,24 +18073,24 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are three separate model-addition PRs for different architectures (DeepSeek OCR, Isaac, and Kimi2-6). They share repository scaffolding, but not the same model or concrete code-path change, so they should not be merged as duplicates.", - "confidence": 0.96, + "summary": "These are three separate model-addition pull requests (DeepSeek OCR, Isaac, Kimi2-6). They share the usual Transformers boilerplate for docs, auto mappings, and model registration, but they target different models and codepaths, so they are not duplicates.", + "confidence": 0.95, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: each PR adds a different model family and touches distinct model implementations, configs, and tests.", + "canonical_pr_reason": null, "best_issue_reason": null, - "best_pr_reason": "PR 45630 is the strongest standalone candidate by activity and breadth, but it is still not a duplicate of the others.", + "best_pr_reason": null, "soft_edge_verdicts": [ { "left": "pull_request:41797", "right": "pull_request:45186", "accept": false, - "reason": "Different additions: DeepSeek OCR vs Isaac. Shared auto-registry/docs scaffolding is expected for new-model PRs, but the model code, files, and purpose are unrelated." + "reason": "Different models and implementations: DeepSeek OCR vs Isaac. Shared files are generic registration/docs scaffolding, not the same bug or change." }, { "left": "pull_request:45186", "right": "pull_request:45630", "accept": false, - "reason": "Different model families: Isaac vs Kimi2-6. Overlap is limited to generic framework registration and docs; they do not fix the same code-path problem." + "reason": "Different model families and separate model-specific modules/tests. Similarity is only from common model-onboarding boilerplate, so they should not be merged as duplicates." } ] }, @@ -18123,7 +18120,7 @@ "soft_pairs": [ "pull_request:42975|pull_request:42976" ], - "prepared_review_unit_hash": "f32dc76a2fc3cf1effd70d8a7abde57d60dafea87f8690eaf059b22edd1f3e23", + "prepared_review_unit_hash": "978121baa7120f3898d4868393c63b063eff227c5353178f1df23a4c9d4ca2aa", "component_budget": { "node_count": 2, "item_count": 2, @@ -18145,18 +18142,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two open PRs that both update GitHub Actions versions, but they target different action families and different workflow sets. They overlap only at a broad maintenance level, not the same concrete change.", - "confidence": 0.95, + "summary": "Two separate maintenance PRs updating GitHub Actions dependencies: one broad workflow upgrade for Node 24 compatibility, and one narrower Docker build action version bump. They are related in theme but not the same underlying change.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": null, + "canonical_pr_reason": "PR 42975 is the better canonical PR because it has the clearer, more specific goal (Node 24 compatibility) and covers the broader workflow-action compatibility sweep across many files.", "best_issue_reason": null, - "best_pr_reason": "PR 42975 is the more representative GitHub Actions maintenance PR because its scope is clearly centered on Node 24-compatible core actions across many workflows, while 42976 is a separate update focused mainly on docker/build-push-action and other latest-version bumps.", + "best_pr_reason": "PR 42975 is the strongest representative of the cluster since it is the more general and explicitly motivated Actions compatibility upgrade.", "soft_edge_verdicts": [ { "left": "pull_request:42975", "right": "pull_request:42976", "accept": false, - "reason": "Reject: both are workflow dependency upgrades, but they touch different actions and different code paths (core workflow actions vs docker build actions). The overlap is too broad to treat as the same underlying change." + "reason": "Both are workflow dependency upgrades, but they target different action families and different concrete changes: 42975 updates core GitHub Actions like checkout/cache/upload-artifact for Node 24 compatibility, while 42976 bumps docker/build-push-action. They are related maintenance work, not the same underlying bug or change." } ] }, @@ -18195,12 +18192,12 @@ "pull_request:43451|pull_request:45490", "pull_request:45490|pull_request:46162" ], - "prepared_review_unit_hash": "f3ef85915c8a699c1f27337dcab06a0b20115d7c7688e00a857e071d47ce971e", + "prepared_review_unit_hash": "680fd8685533afea8e32412f5a286482e617b7fd87af8ac7d755018f0e59e04c", "component_budget": { "node_count": 5, "item_count": 5, "soft_pair_count": 7, - "serialized_chars": 16553, + "serialized_chars": 16554, "estimated_input_tokens": 4139, "estimated_eval_tokens": 8534 }, @@ -18208,7 +18205,7 @@ "node_count": 5, "item_count": 5, "soft_pair_count": 7, - "serialized_chars": 16553, + "serialized_chars": 16554, "estimated_input_tokens": 4139, "estimated_eval_tokens": 8534 }, @@ -18217,7 +18214,7 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This cluster is heterogeneous: four independent model-addition PRs (ViT NEPA, Molmo, Molmo2, CTSM) plus one small test-only XPU expectation PR. They target different models and code paths, so there is no duplicate/canonical change here.", + "summary": "These PRs are not duplicates: they add different model families (ViT NEPA, Molmo, Molmo2, CTSM) or make an unrelated test-only XPU annotation change. The shared docs/auto-registry files are just common integration boilerplate, not evidence of the same underlying change.", "confidence": 0.98, "canonical_issue_reason": null, "canonical_pr_reason": null, @@ -18228,43 +18225,43 @@ "left": "pull_request:42978", "right": "pull_request:43448", "accept": false, - "reason": "Different model integrations: ViT NEPA vs Molmo. Shared docs/auto-registration files are expected for new-model PRs and do not indicate the same underlying change." + "reason": "Different model additions: ViT NEPA vs Molmo. Shared docs/auto files are generic model-registration boilerplate, not the same code-path fix." }, { "left": "pull_request:42978", "right": "pull_request:43451", "accept": false, - "reason": "Different model additions: ViT NEPA vs Molmo2. The overlap is only in generic registration/docs files, not a shared bug or code-path fix." + "reason": "Different model additions: ViT NEPA vs Molmo2. Similar filenames reflect common transformers integration work, but the actual model code and purpose are unrelated." }, { "left": "pull_request:42978", "right": "pull_request:45490", "accept": false, - "reason": "ViT NEPA and CTSM are unrelated model implementations. Similar auto/docs updates are boilerplate for adding a model, not duplicate work." + "reason": "ViT NEPA addition is unrelated to CTSM addition. Both touch auto/docs, but they register different architectures and are not the same change." }, { "left": "pull_request:43448", "right": "pull_request:43451", "accept": false, - "reason": "Molmo and Molmo2 are separate model families with distinct files and functionality. They are not the same concrete feature or fix." + "reason": "Molmo and Molmo2 are distinct model families with separate configs, processors, and tests. Similar naming does not make them a duplicate PR." }, { "left": "pull_request:43448", "right": "pull_request:45490", "accept": false, - "reason": "Molmo vs CTSM are unrelated model additions; shared framework registration files are too broad to merge as duplicates." + "reason": "Molmo vs CTSM are different model integrations; shared transformers registry files are insufficient to treat them as one underlying change." }, { "left": "pull_request:43451", "right": "pull_request:45490", "accept": false, - "reason": "Molmo2 and CTSM implement different models and code paths. This is not the same underlying change despite similar integration patterns." + "reason": "Molmo2 and CTSM are separate model additions with different implementation files and test suites, so they should not be merged as duplicates." }, { "left": "pull_request:45490", "right": "pull_request:46162", "accept": false, - "reason": "CTSM is a model-addition PR, while 46162 is a narrow test-only change adding XPU expectations. Different scope and code path, so not duplicates." + "reason": "CTSM model integration is unrelated to adding XPU Expectations in existing Florence2/InstructBLIP/LFM2-VL tests. The latter is test maintenance only, not the same bug or feature." } ] }, @@ -18299,58 +18296,58 @@ "pull_request:43665|pull_request:46102", "pull_request:43665|pull_request:44815" ], - "prepared_review_unit_hash": "fa2328e4fdf4fd6d7845b67a52189f5928e7386b7763836d3bfaaf8ab88b51fd", + "prepared_review_unit_hash": "564a6c9a63d36724b58d25a7697445e67120195f6e4914a59b75c254947c580d", "component_budget": { "node_count": 4, "item_count": 4, "soft_pair_count": 4, - "serialized_chars": 9390, - "estimated_input_tokens": 2348, - "estimated_eval_tokens": 4952 + "serialized_chars": 9387, + "estimated_input_tokens": 2347, + "estimated_eval_tokens": 4950 }, "budget": { "node_count": 4, "item_count": 4, "soft_pair_count": 4, - "serialized_chars": 9390, - "estimated_input_tokens": 2348, - "estimated_eval_tokens": 4952 + "serialized_chars": 9387, + "estimated_input_tokens": 2347, + "estimated_eval_tokens": 4950 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These PRs are not duplicates: they cover unrelated areas (Whisper decoding/tests, CLIP/ViT test placeholders, FP8 dequantization, and FSDP tied-weights). The one soft-similarity edge is not strong enough to merge into a single change.", - "confidence": 0.96, + "summary": "These pull requests are not duplicates of one another; they span different subsystems and different bug classes. The only flagged soft match is too broad to merge, so it should be rejected.", + "confidence": 0.91, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 44815 is the strongest standalone candidate: it has a coherent code-path fix in model loading / FP8 quantization with supporting tests. The others are either test-only or address different subsystems.", + "canonical_pr_reason": "PR 44815 is the most concrete code fix in the set: it changes model-loading and FP8 quantization code paths, with a clear implementation-level bugfix rather than test-only or placeholder changes.", "best_issue_reason": null, - "best_pr_reason": "PR 44815 is the best representative of the cluster because it is an actual functional fix rather than a test-only edit, and it has the clearest end-to-end bug/fix relationship.", + "best_pr_reason": "PR 44815 is the best representative because it has the clearest underlying defect and the most substantive fix surface, making it more suitable as the canonical PR than the others.", "soft_edge_verdicts": [ { "left": "pull_request:43291", "right": "pull_request:43665", "accept": false, - "reason": "Both are test-related, but they target different models and different changes (Whisper tokenizer behavior vs. CLIP/ViT test edits). Not the same underlying bug or mergeable into one PR." + "reason": "Whisper tokenization/decode behavior and CLIP/ViT test edits are unrelated; they do not reflect the same underlying bug or change." }, { "left": "pull_request:43291", "right": "pull_request:44815", "accept": false, - "reason": "Whisper decoding/tokenization changes are unrelated to FP8 dequantization and model loading logic." + "reason": "Whisper decoding changes and dequantization/loading fixes are different code paths and different problems." }, { "left": "pull_request:43665", "right": "pull_request:46102", "accept": false, - "reason": "CLIP/ViT test placeholders are unrelated to the FSDP tied-weights fix; they do not share a concrete code-path problem." + "reason": "Test-only edits in CLIP/ViT are not the same as FSDP tied-weights logic changes; no shared concrete bug." }, { "left": "pull_request:43665", "right": "pull_request:44815", "accept": false, - "reason": "Despite superficial similarity as fixes, one is only test edits while the other is a quantization/model-loading bug fix; not the same change." + "reason": "The apparent similarity is only broad test-related noise; 43665 is test scaffolding while 44815 is a real quantization/loading fix, so they should not be merged." } ] }, @@ -18387,70 +18384,70 @@ "pull_request:45932|pull_request:46100", "pull_request:46100|pull_request:46114" ], - "prepared_review_unit_hash": "3a40b3ef80670fd1722af77b2fea6ae70a362aeb7c8b30aa851aab8de93b1361", + "prepared_review_unit_hash": "3710a1e9a8c2401f72bef8a8cbc0e33858178cd7bd72b437f0a0f6840de193e6", "component_budget": { "node_count": 5, "item_count": 5, "soft_pair_count": 5, - "serialized_chars": 11339, - "estimated_input_tokens": 2835, - "estimated_eval_tokens": 5926 + "serialized_chars": 11343, + "estimated_input_tokens": 2836, + "estimated_eval_tokens": 5928 }, "budget": { "node_count": 5, "item_count": 5, "soft_pair_count": 5, - "serialized_chars": 11339, - "estimated_input_tokens": 2835, - "estimated_eval_tokens": 5926 + "serialized_chars": 11343, + "estimated_input_tokens": 2836, + "estimated_eval_tokens": 5928 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Only the two ViT test-migration PRs are true duplicates; the other soft links are superficial filename overlaps or unrelated CI/test scaffolding changes.", - "confidence": 0.94, + "summary": "Mostly unrelated PRs in a mixed cluster; the only clear duplicate pair is the two identical ViT test-migration PRs. The other pairs share a filename or broad area but are not the same underlying change.", + "confidence": 0.85, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #46100 is the cleanest representative of the duplicated ViT test-migration change; #46114 appears to be the forked copy with the same patch.", + "canonical_pr_reason": "PR 46100 and 46114 are effectively the same ViT test-only change; 46100 is the cleaner representative with the more generic title.", "best_issue_reason": null, - "best_pr_reason": "PR #46100 is the best global PR candidate because it is the canonical version of the only real duplicate pair and has the clearest title for the shared change.", + "best_pr_reason": "46100 is the best representative of the only true duplicate pair because its diff matches 46114 and its title is slightly clearer/less fork-specific.", "soft_edge_verdicts": [ { "left": "pull_request:43488", "right": "pull_request:46114", "accept": false, - "reason": "Both touch tests/models/vit/test_modeling_vit.py, but #43488 is a repo-bot/version/dependency stub and #46114 is a test-migration/OTEL PR; they are not the same underlying change." + "reason": "Both touch the ViT test file, but one is a setup/version-check PR and the other is a forked test-migration PR; different underlying changes." }, { "left": "pull_request:43488", "right": "pull_request:43532", "accept": false, - "reason": "Shared ViT test file is incidental; #43488 is setup/version/dependency plumbing while #43532 is workflow/notification/testing-utils changes. Different PR goals and code paths." + "reason": "Shared ViT test filename is incidental; the diffs target unrelated CI/workflow and repo-bot behavior changes." }, { "left": "pull_request:43532", "right": "pull_request:46114", "accept": false, - "reason": "Both mention ViT tests only tangentially; #43532 centers on CI workflows and utilities, while #46114 is a forked test-migration PR. Not the same fix/change." + "reason": "Same test file, but the PRs address different purposes and code paths; not the same concrete fix/change." }, { "left": "pull_request:45932", "right": "pull_request:46100", "accept": false, - "reason": "Despite the similarity signal, #45932 is a broad Grafana/testing/integration PR across many models and workflows, while #46100 is a tiny ViT test assertion change. Not mergeable as one PR." + "reason": "They are not the same change: 45932 is a broad grafana/instrumentation/model update, while 46100 is only a ViT test migration." }, { "left": "pull_request:46100", "right": "pull_request:46114", "accept": true, - "reason": "These are effectively identical: same file, same added failing assertions, and the titles indicate the same test-migration intent. They look like forked duplicates of one underlying change." + "reason": "These are near-identical PRs with the same ViT test-file edits and effectively the same change." } ] }, "evaluator_result": { "accept": true, - "feedback": "The duplicate judgement for 46100/46114 is grounded by the identical diff preview and titles. The other soft-edge rejections are conservative and supported by the packet: they share at most a filename or broad testing/CI context, but not the same underlying bugfix or a mergeable single PR change. The summary stays within the evidence." + "feedback": "The summary is well grounded in the packet. The only clear duplicate is 46100/46114, which have identical diff previews and filenames, and the other pairs are conservatively rejected because they only overlap superficially by filename or broad area while the actual changes differ. No overstatement of evidence is apparent." }, "evaluator_used": true, "retried": false, @@ -18477,7 +18474,7 @@ "soft_pairs": [ "pull_request:43612|pull_request:43613" ], - "prepared_review_unit_hash": "b52d527be0d0325bb742fec92c54ab31c42561426b3e40306685bf584ea3ca7a", + "prepared_review_unit_hash": "2943e528c89e194bede242f56aff7f2b6d46da6574b9dc110e2d26053c1ead52", "component_budget": { "node_count": 2, "item_count": 2, @@ -18499,18 +18496,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two separate feature PRs: one adds Promptable Concept Segmentation, the other adds Promptable Visual Segmentation. They share framework/docs scaffolding but target different pipelines, models, and tests, so they are not duplicates.", - "confidence": 0.96, + "summary": "These are related but distinct feature PRs: one adds Promptable Concept Segmentation, the other adds Promptable Visual Segmentation. They share documentation/pipeline scaffolding, but target different concrete pipelines and model integrations, so they should not be merged as duplicates.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR for a duplicate set here; these are distinct pipeline additions rather than two implementations of the same change.", + "canonical_pr_reason": "No canonical duplicate here; the two PRs implement different segmentation pipelines with different code paths and model/test coverage.", "best_issue_reason": null, - "best_pr_reason": "If a representative is needed, #43613 is slightly broader/more integrated, but it is still a separate feature from #43612 rather than a duplicate counterpart.", + "best_pr_reason": "PR #43613 is the broader/more complete feature addition, with more model integrations and test coverage, so it is the better representative of the cluster if one must be chosen.", "soft_edge_verdicts": [ { - "left": "Add Promptable Concept Segmentation pipeline", - "right": "Add Promptable Visual Segmentation pipeline", + "left": "pull_request:43612", + "right": "pull_request:43613", "accept": false, - "reason": "Different underlying tasks and code paths: concept segmentation vs visual segmentation use different model integrations and tests, so shared docs/pipeline plumbing does not make them the same change." + "reason": "Reject: despite similar docs and pipeline plumbing, these add different pipelines (concept vs visual segmentation) and touch different concrete model integrations, so they are not the same underlying change." } ] }, @@ -18540,7 +18537,7 @@ "soft_pairs": [ "pull_request:43651|pull_request:43663" ], - "prepared_review_unit_hash": "7e149a7f484b9678838fb92c4c141f85dd32c0c30dc4ec4083a4cf7df4dd60ef", + "prepared_review_unit_hash": "3e3bfa8d60bd0391feea65dda0c9a537caa16361bc88c0f30ec71f97b8066e24", "component_budget": { "node_count": 2, "item_count": 2, @@ -18562,18 +18559,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two open PRs touch `trainer.py` and both add override points for custom trainers, but they address different behaviors: gradient-accumulation loss scaling vs. signature-column filtering. They are not the same underlying change.", + "summary": "These PRs are both trainer customizability tweaks, but they address different code paths: gradient-accumulation loss scaling vs. column/signature filtering. They should not be merged as duplicates.", "confidence": 0.97, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: PR #43651 changes training loss scaling logic, while PR #43663 changes dataloader column filtering/signature inspection; they are unrelated extension points.", + "canonical_pr_reason": "No single canonical PR: PR 43651 changes training-step loss scaling, while PR 43663 introduces a signature-column helper for dataset column filtering; they solve different problems.", "best_issue_reason": null, - "best_pr_reason": "PR #43651 is the more self-contained trainer behavior change, but the cluster does not have a single best representative because the PRs solve different problems.", + "best_pr_reason": "PR 43651 is a clearer standalone change, but neither PR subsumes the other, so it is only a tentative representative\u2014not a duplicate canonical.", "soft_edge_verdicts": [ { "left": "pull_request:43651", "right": "pull_request:43663", "accept": false, - "reason": "Different code paths and goals: #43651 adds `_loss_is_scaled_for_ga` for gradient accumulation loss normalization, while #43663 adds `_get_signature_columns` for column filtering. Same file, but not the same fix." + "reason": "Different trainer internals and user-facing behaviors: one adjusts gradient accumulation loss normalization, the other refactors model signature inspection for column filtering. Same file/subsystem only, not the same underlying fix." } ] }, @@ -18603,12 +18600,12 @@ "soft_pairs": [ "pull_request:43656|pull_request:43842" ], - "prepared_review_unit_hash": "07657b337baabeb8089f43a15e3470e19ca7706371ab31be477f23bd9ccb2324", + "prepared_review_unit_hash": "4ae9ff3fef533cdccbba898af9f5b221d62e84fa526b6c26d2b1f462c10b65e7", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 3664, + "serialized_chars": 3663, "estimated_input_tokens": 916, "estimated_eval_tokens": 2088 }, @@ -18616,7 +18613,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 3664, + "serialized_chars": 3663, "estimated_input_tokens": 916, "estimated_eval_tokens": 2088 }, @@ -18625,18 +18622,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs touch the same CLI file and both mention a TypeAdapter NameError, but they address different fixes: one is broader annotation/postponement cleanup, the other is a targeted pydantic-absent runtime import issue. I would not merge them as duplicates.", - "confidence": 0.83, + "summary": "Both PRs patch annotation-related NameErrors in `src/transformers/cli/serve.py`, but they address different runtime failures: one around `TypeAdapter`, the other around type hints/imports when `pydantic` is absent. Related area, not the same change.", + "confidence": 0.86, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #43842 is the more precise fix: it directly addresses the TypeAdapter NameError when pydantic is not installed, with a minimal change in the exact validation path.", + "canonical_pr_reason": "PR #43842 is the cleaner canonical representative for this cluster because it has the more specific, directly described `TypeAdapter` import/type-hint fix and an explicit issue link.", "best_issue_reason": null, - "best_pr_reason": "PR #43842 is the best standalone PR because it targets a concrete runtime failure with a narrow, plausible merge surface and clear dependency-related behavior.", + "best_pr_reason": "PR #43842 is the strongest standalone candidate: it is narrowly scoped, explicitly targets the `TypeAdapter` NameError, and has the clearest issue linkage.", "soft_edge_verdicts": [ { "left": "pull_request:43656", "right": "pull_request:43842", "accept": false, - "reason": "They share a file and a loosely related NameError theme, but the fixes are not the same code-path problem: #43656 is broader typing/annotations cleanup, while #43842 specifically handles TypeAdapter when pydantic is absent." + "reason": "Both touch the same file and both fix NameError-like typing issues, but they resolve different concrete problems in different annotations/import paths. They are related, not duplicates." } ] }, @@ -18785,8 +18782,8 @@ "pull_request:44098|pull_request:44101", "pull_request:44059|pull_request:44722", "pull_request:44018|pull_request:44071", - "pull_request:44017|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", @@ -18813,8 +18810,8 @@ "pull_request:44010|pull_request:44073", "pull_request:44018|pull_request:44129", "pull_request:43997|pull_request:44074", - "pull_request:44071|pull_request:44129", "pull_request:43997|pull_request:44129", + "pull_request:44071|pull_request:44129", "pull_request:44010|pull_request:44018", "pull_request:43996|pull_request:44161", "pull_request:43996|pull_request:44017", @@ -18828,7 +18825,7 @@ "pull_request:44044|pull_request:44129", "pull_request:44044|pull_request:44154" ], - "prepared_review_unit_hash": "1674e09279a5d1448f9588266b336f51a49ca32e467ce8b2c3ac64291350709e", + "prepared_review_unit_hash": "e3cc124f718916e1d9dc4cf4a6ae45f20a2ec86a676cf2dcb27c0ba596baf046", "component_budget": { "node_count": 28, "item_count": 28, @@ -18841,390 +18838,348 @@ "node_count": 27, "item_count": 27, "soft_pair_count": 72, - "serialized_chars": 75089, - "estimated_input_tokens": 18773, - "estimated_eval_tokens": 37802 + "serialized_chars": 75088, + "estimated_input_tokens": 18772, + "estimated_eval_tokens": 37800 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "This cluster is mostly a theme cluster of output-tracing refactors across many unrelated models, not one single duplicate chain. Only the same-model GPT-Neo and GPT-J pairs look like true overlaps; the rest are separate model-specific refactors that should stay distinct.", - "confidence": 0.83, + "summary": "This cluster is mostly a set of separate model-specific output-tracing refactors that share the same umbrella initiative. The clear duplicate groups are GPT-Neo and GPT-J/CodeGen, and the GPT-J pair 44066/44085 should be treated as mergeable variants of the same fix.", + "confidence": 0.88, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical issue is present. As a representative PR, 44066 is the strongest anchor because it has an explicit issue link, covers the core GPT-J/CodeGen output-tracing refactor, and overlaps with later GPT-J follow-ups.", + "canonical_pr_reason": "44722 is the best PR representative: it is the latest and broadest GPT-J/CodeGen output-tracing refactor, and it supersedes the earlier GPT-J-only variants.", "best_issue_reason": null, - "best_pr_reason": "44066 is the best representative for the cluster\u2019s central refactor theme: it is broad, explicit about the tracking issue, and closest to the repeated GPT-J/CodeGen duplicate stream.", + "best_pr_reason": "44722 best represents the duplicate cluster because it most completely captures the GPT-J/CodeGen output-tracing change and appears to be the later revision of the same fix.", "soft_edge_verdicts": [ { "left": "pull_request:43996", "right": "pull_request:44085", "accept": false, - "reason": "Different model families (FNet/CVT vs GPT-J) with only a shared refactor theme." + "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 different code paths; same broad output-tracing motif is not enough." + "reason": "Different model families and code paths; not the same underlying change." }, { "left": "pull_request:44066", "right": "pull_request:44085", "accept": true, - "reason": "Both target GPT-J output tracing in the same code path and are plausibly mergeable into one PR." + "reason": "Same GPT-J file and the same #43979 output-tracing refactor; these look like mergeable variants of the same bugfix." }, { "left": "pull_request:44007", "right": "pull_request:44072", "accept": false, - "reason": "ResNet/RT-DETR ResNet vs EfficientNet are separate model implementations, not the same change." + "reason": "Different model implementations; same output-tracing initiative only." }, { "left": "pull_request:44072", "right": "pull_request:44722", "accept": false, - "reason": "EfficientNet vs GPT-J/CodeGen are unrelated code paths." + "reason": "Different model paths; same broad initiative is not enough for duplication." }, { "left": "pull_request:44066", "right": "pull_request:44072", "accept": false, - "reason": "GPT-J/CodeGen vs EfficientNet are different models and different fixes." + "reason": "GPT-J/CodeGen vs EfficientNet; unrelated concrete code paths." }, { "left": "pull_request:44013", "right": "pull_request:44044", "accept": false, - "reason": "MobileNetV2 vs DeBERTa-V2 are unrelated model-specific refactors." + "reason": "MobileNetV2 vs DeBERTa V2; different models and changes." }, { "left": "pull_request:44066", "right": "pull_request:44086", "accept": false, - "reason": "GPT-J/CodeGen vs MGP-STR are unrelated implementations." + "reason": "GPT-J/CodeGen vs MGP-STR; not the same underlying bug/change." }, { "left": "pull_request:44066", "right": "pull_request:44071", "accept": false, - "reason": "GPT-J/CodeGen and MPT are different model code paths." + "reason": "GPT-J/CodeGen vs MPT; same umbrella topic only." }, { "left": "pull_request:44018", "right": "pull_request:44068", "accept": true, - "reason": "Both refactor GPT-Neo output tracing in the same file and appear to be the same underlying change." + "reason": "Same GPT-Neo output-tracing refactor in the same model file/tests; clearly the same change." }, { "left": "pull_request:44066", "right": "pull_request:44068", "accept": false, - "reason": "GPT-J/CodeGen and GPT-Neo are different model families." + "reason": "GPT-J/CodeGen vs GPT-Neo; different model families and code paths." }, { "left": "pull_request:44018", "right": "pull_request:44066", "accept": false, - "reason": "GPT-Neo and GPT-J/CodeGen are separate model implementations." + "reason": "GPT-Neo vs GPT-J/CodeGen; different model refactors." }, { "left": "pull_request:44019", "right": "pull_request:44722", "accept": false, - "reason": "ResNet vs GPT-J/CodeGen are unrelated." + "reason": "ResNet vs GPT-J/CodeGen; same theme, different model code." }, { "left": "pull_request:44086", "right": "pull_request:44722", "accept": false, - "reason": "MGP-STR vs GPT-J/CodeGen are unrelated model changes." + "reason": "MGP-STR vs GPT-J/CodeGen; unrelated." }, { "left": "pull_request:44019", "right": "pull_request:44085", "accept": false, - "reason": "ResNet and GPT-J are different code paths." + "reason": "ResNet vs GPT-J; different code paths." }, { "left": "pull_request:44018", "right": "pull_request:44019", "accept": false, - "reason": "GPT-Neo and ResNet are different models; shared refactor pattern is not duplicate evidence." + "reason": "GPT-Neo vs ResNet; unrelated model implementations." }, { "left": "pull_request:44019", "right": "pull_request:44071", "accept": false, - "reason": "ResNet vs MPT are unrelated model-specific changes." + "reason": "ResNet vs MPT; unrelated." }, { "left": "pull_request:44068", "right": "pull_request:44116", "accept": false, - "reason": "GPT-Neo and Flaubert are unrelated implementations." + "reason": "GPT-Neo vs Flaubert; unrelated." }, { "left": "pull_request:44068", "right": "pull_request:44722", "accept": false, - "reason": "GPT-Neo vs GPT-J/CodeGen are different model families." + "reason": "GPT-Neo vs GPT-J/CodeGen; different concrete refactors." }, { - "left": "pull_request:44018", - "right": "pull_request:44116", - "accept": false, - "reason": "GPT-Neo and Flaubert are unrelated code paths." - }, - { - "left": "pull_request:44071", - "right": "pull_request:44722", - "accept": false, - "reason": "MPT and GPT-J/CodeGen are different models." - }, - { - "left": "pull_request:44018", + "left": "pull_request:44059", "right": "pull_request:44086", "accept": false, - "reason": "GPT-Neo vs MGP-STR are unrelated model changes." + "reason": "GPT2 vs MGP-STR; unrelated." }, { - "left": "pull_request:44018", - "right": "pull_request:44085", - "accept": false, - "reason": "GPT-Neo vs GPT-J are different code paths." - }, - { - "left": "pull_request:44068", + "left": "pull_request:44085", "right": "pull_request:44086", "accept": false, - "reason": "GPT-Neo vs MGP-STR are unrelated." + "reason": "GPT-J vs MGP-STR; unrelated." }, { "left": "pull_request:44098", "right": "pull_request:44101", "accept": false, - "reason": "ViLT and XLM are distinct model families." + "reason": "ViLT vs Flaubert/XLM; different models and changes." }, { "left": "pull_request:44059", "right": "pull_request:44722", "accept": false, - "reason": "GPT-2 and GPT-J/CodeGen are separate implementations." + "reason": "GPT2 vs GPT-J/CodeGen; different code paths." }, { "left": "pull_request:44018", "right": "pull_request:44071", "accept": false, - "reason": "GPT-Neo and MPT are different models." + "reason": "GPT-Neo vs MPT; unrelated." }, { "left": "pull_request:44017", - "right": "pull_request:44722", + "right": "pull_request:44161", "accept": false, - "reason": "SegFormer and GPT-J/CodeGen are unrelated." + "reason": "Segformer vs LongT5; different model implementations." }, { "left": "pull_request:44017", - "right": "pull_request:44161", + "right": "pull_request:44722", "accept": false, - "reason": "SegFormer and LongT5 are unrelated model-specific refactors." + "reason": "Segformer vs GPT-J/CodeGen; unrelated." }, { "left": "pull_request:44017", "right": "pull_request:44073", "accept": false, - "reason": "SegFormer and VisualBERT are different code paths." + "reason": "Segformer vs VisualBert; different concrete changes." }, { - "left": "pull_request:44068", - "right": "pull_request:44071", + "left": "pull_request:43997", + "right": "pull_request:44073", "accept": false, - "reason": "GPT-Neo and MPT are different models." + "reason": "RegNet vs VisualBert; unrelated." }, { "left": "pull_request:43997", - "right": "pull_request:44073", + "right": "pull_request:44017", + "accept": false, + "reason": "RegNet vs Segformer; different models." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44056", "accept": false, - "reason": "RegNet and VisualBERT are unrelated." + "reason": "RegNet vs MPNet; unrelated." }, { "left": "pull_request:44071", "right": "pull_request:44076", "accept": false, - "reason": "MPT and ImageGPT are separate model implementations." + "reason": "MPT vs ImageGPT; different models and code paths." }, { "left": "pull_request:44074", "right": "pull_request:44101", "accept": false, - "reason": "TextNet and XLM are unrelated models." + "reason": "TextNet vs Flaubert/XLM; unrelated." }, { "left": "pull_request:44056", "right": "pull_request:44161", "accept": false, - "reason": "MPNet and LongT5 are unrelated code paths." + "reason": "MPNet vs LongT5; same broad initiative only." }, { "left": "pull_request:43997", "right": "pull_request:44018", "accept": false, - "reason": "RegNet and GPT-Neo are different model families." + "reason": "RegNet vs GPT-Neo; unrelated." }, { "left": "pull_request:43997", "right": "pull_request:44161", "accept": false, - "reason": "RegNet and LongT5 are unrelated." + "reason": "RegNet vs LongT5; unrelated." }, { "left": "pull_request:44074", "right": "pull_request:44161", "accept": false, - "reason": "TextNet and LongT5 are unrelated model changes." + "reason": "TextNet vs LongT5; different models." }, { "left": "pull_request:44018", "right": "pull_request:44161", "accept": false, - "reason": "GPT-Neo and LongT5 are unrelated." + "reason": "GPT-Neo vs LongT5; unrelated." }, { "left": "pull_request:43997", "right": "pull_request:44071", "accept": false, - "reason": "RegNet and MPT are different code paths." + "reason": "RegNet vs MPT; different code paths." }, { "left": "pull_request:44010", "right": "pull_request:44071", "accept": false, - "reason": "SqueezeBERT and MPT are unrelated models." + "reason": "SqueezeBert vs MPT; unrelated." }, { "left": "pull_request:44010", "right": "pull_request:44073", "accept": false, - "reason": "SqueezeBERT and VisualBERT are separate implementations." + "reason": "SqueezeBert vs VisualBert; different model code." }, { "left": "pull_request:44018", - "right": "pull_request:44129", - "accept": false, - "reason": "GPT-Neo and SpeechT5 are unrelated model-specific refactors." - }, - { - "left": "pull_request:44056", - "right": "pull_request:44161", + "right": "pull_request:44059", "accept": false, - "reason": "MPNet and LongT5 are unrelated." + "reason": "GPT-Neo vs GPT2; unrelated." }, { - "left": "pull_request:43997", + "left": "pull_request:44010", "right": "pull_request:44018", "accept": false, - "reason": "RegNet and GPT-Neo are different model families." - }, - { - "left": "pull_request:43997", - "right": "pull_request:44161", - "accept": false, - "reason": "RegNet and LongT5 are unrelated." - }, - { - "left": "pull_request:44074", - "right": "pull_request:44161", - "accept": false, - "reason": "TextNet and LongT5 do not share the same code-path change." + "reason": "SqueezeBert vs GPT-Neo; different models." }, { - "left": "pull_request:44018", + "left": "pull_request:43996", "right": "pull_request:44161", "accept": false, - "reason": "GPT-Neo and LongT5 are unrelated model changes." + "reason": "FNet/CVT vs LongT5; unrelated." }, { - "left": "pull_request:43997", - "right": "pull_request:44071", - "accept": false, - "reason": "RegNet and MPT are unrelated." - }, - { - "left": "pull_request:44010", - "right": "pull_request:44071", - "accept": false, - "reason": "SqueezeBERT and MPT are different models." - }, - { - "left": "pull_request:44010", - "right": "pull_request:44073", + "left": "pull_request:43996", + "right": "pull_request:44017", "accept": false, - "reason": "SqueezeBERT and VisualBERT are unrelated." + "reason": "FNet/CVT vs Segformer; different model families." }, { "left": "pull_request:44010", "right": "pull_request:44044", "accept": false, - "reason": "SqueezeBERT and DeBERTa-V2 are unrelated." + "reason": "SqueezeBert vs DeBERTa V2; not the same concrete bug/change." }, { "left": "pull_request:44044", "right": "pull_request:44074", "accept": false, - "reason": "DeBERTa-V2 and TextNet are different model implementations." + "reason": "DeBERTa V2 vs TextNet; unrelated." }, { "left": "pull_request:44066", "right": "pull_request:44722", "accept": true, - "reason": "Same GPT-J output-tracing refactor on the same concrete code path; these could plausibly be one PR." + "reason": "Same GPT-J/CodeGen output-tracing refactor; 44722 is the broader later revision." }, { "left": "pull_request:44085", "right": "pull_request:44722", "accept": true, - "reason": "Both touch GPT-J output tracing in the same file and look like overlapping refactor variants." + "reason": "Same GPT-J output-tracing refactor in the same file; 44722 is the broader revision." }, { "left": "pull_request:44085", "right": "pull_request:44129", "accept": false, - "reason": "GPT-J vs SpeechT5 are unrelated model code paths." + "reason": "GPT-J vs SpeechT5; unrelated." }, { "left": "pull_request:43996", "right": "pull_request:44007", "accept": false, - "reason": "FNet/CVT and RegNet/ResNet are different models; same architectural theme is insufficient." + "reason": "FNet/CVT vs RegNet/ResNet/RT-DETR; different changes." }, { "left": "pull_request:43996", "right": "pull_request:44129", "accept": false, - "reason": "FNet/CVT and SpeechT5 are unrelated." + "reason": "FNet/CVT vs SpeechT5; unrelated." }, { "left": "pull_request:44044", "right": "pull_request:44129", "accept": false, - "reason": "DeBERTa-V2 and SpeechT5 are unrelated model-specific changes." + "reason": "DeBERTa V2 vs SpeechT5; different code paths." }, { "left": "pull_request:44044", "right": "pull_request:44154", "accept": false, - "reason": "DeBERTa-V2 and VITS are different code paths and model families." + "reason": "DeBERTa V2 vs Vits; unrelated." } ] }, "evaluator_result": { - "accept": true, - "feedback": "The evaluation is grounded in the packet and stays conservative on soft-edge calls. The accepted pairs are plausible same-code-path overlaps (GPT-Neo and GPT-J/CodeGen), and the rejected pairs correctly separate different model families and unrelated fixes. The canonical/representative PR choice is also reasonable given the explicit issue link and breadth of 44066." + "accept": false, + "feedback": "The packet supports the GPT-J/CodeGen cluster, but the analyst is too strict on one key soft edge: 44066 and 44085 both touch the same GPT-J file and the same #43979 output-tracing refactor, so they do look mergeable into a single PR for the same bugfix. Because that pair is rejected, the soft-edge verdicts are not fully conservative. The rest of the summary is mostly grounded, but this mismatch is enough to reject." }, "evaluator_used": true, - "retried": false, + "retried": true, "accepted_nontrivial_soft_edge": true, "error_kind": null, "error_message": null @@ -19259,7 +19214,7 @@ "pull_request:43997|pull_request:44010", "pull_request:44010|pull_request:44129" ], - "prepared_review_unit_hash": "136ed919d772830ba6c128a5b872bfc04b3dca0a8fc1df190421eb966601441d", + "prepared_review_unit_hash": "27dbeab5a5c419ebcb45c062c006302d1c180acf9128044e9c0a38c4878ba218", "component_budget": { "node_count": 28, "item_count": 28, @@ -19272,7 +19227,7 @@ "node_count": 8, "item_count": 8, "soft_pair_count": 6, - "serialized_chars": 17125, + "serialized_chars": 17126, "estimated_input_tokens": 4282, "estimated_eval_tokens": 8820 }, @@ -19281,48 +19236,48 @@ "aggressively_trimmed": false, "split": true, "analyst_result": { - "summary": "These PRs all refactor model-specific output tracing toward the same library-wide decorator pattern, but they are separate per-model changes and not true duplicates of one another.", - "confidence": 0.93, + "summary": "These are thematically similar output-tracing refactors, but they target different model implementations and code paths, so they should not be collapsed as duplicates.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "No single PR is the obvious duplicate canonical: each PR targets a different model file and code path. If one representative must be chosen, PR 44129 is the strongest anchor because it has an explicit issue target and a concrete SpeechT5 refactor.", + "canonical_pr_reason": "PR 44073 is the clearest representative of the cluster if one must be chosen, but the set is not a duplicate group: each PR is a model-specific migration to standardized output capture.", "best_issue_reason": null, - "best_pr_reason": "PR 44129 is the best representative because it is the most concretely scoped, has an explicit linked issue, and clearly describes the standardized output capture refactor for one model.", + "best_pr_reason": "PR 44073 is the strongest representative of the overall pattern because it explicitly adds the standardized tracing hooks and decorator usage in a focused VisualBert refactor.", "soft_edge_verdicts": [ { "left": "pull_request:44024", "right": "pull_request:44076", "accept": false, - "reason": "Same broad migration theme, but FocalNet and ImageGPT are different model implementations with separate forward paths; not the same underlying change." + "reason": "Different model families and code paths (FocalNet vs ImageGPT); same refactor theme, not the same underlying change." }, { "left": "pull_request:44073", "right": "pull_request:44074", "accept": false, - "reason": "Both are output-tracing refactors, but they touch different models (VisualBert vs TextNet) and distinct code paths, so they are not mergeable as one PR." + "reason": "VisualBert and TextNet are separate implementations; these are parallel output-tracing migrations, not one shared fix." }, { "left": "pull_request:44056", "right": "pull_request:44073", "accept": false, - "reason": "MPNet and VisualBert are unrelated model-specific refactors; shared decorator usage alone is too broad to treat as the same change." + "reason": "MPNet and VisualBert touch different model internals; the overlap is only the standardized output-capture pattern." }, { "left": "pull_request:44056", "right": "pull_request:44074", "accept": false, - "reason": "Different models and different forward/tracing implementations; this is the same migration pattern, not the same bug or fix." + "reason": "MPNet and TextNet are unrelated code paths; similarity is limited to the refactor style." }, { "left": "pull_request:43997", "right": "pull_request:44010", "accept": false, - "reason": "RegNet and SqueezeBert changes are model-specific output-tracing migrations, not the same concrete code-path problem." + "reason": "RegNet and SqueezeBert are different architectures with different forward paths, so these are not mergeable as one PR." }, { "left": "pull_request:44010", "right": "pull_request:44129", "accept": false, - "reason": "SqueezeBert and SpeechT5 affect different architectures and output flows; they share a refactor goal but not a single duplicate fix." + "reason": "SqueezeBert and SpeechT5 are distinct subsystems; the shared idea is output tracing, not the same bug or change." } ] }, @@ -19408,304 +19363,298 @@ "pull_request:44002|pull_request:46106", "pull_request:43998|pull_request:46106" ], - "prepared_review_unit_hash": "8b96f7a3020a11410d6ab5619e79c193b8a56cdbf2e84b0cb7d2a2d1309733e2", + "prepared_review_unit_hash": "9ee81581dc03c47de0be4062e75646062f345e2c565694ce673ee837bda62369", "component_budget": { "node_count": 14, "item_count": 14, "soft_pair_count": 45, - "serialized_chars": 43771, - "estimated_input_tokens": 10943, - "estimated_eval_tokens": 22142 + "serialized_chars": 43780, + "estimated_input_tokens": 10945, + "estimated_eval_tokens": 22146 }, "budget": { "node_count": 14, "item_count": 14, "soft_pair_count": 45, - "serialized_chars": 43771, - "estimated_input_tokens": 10943, - "estimated_eval_tokens": 22142 + "serialized_chars": 43780, + "estimated_input_tokens": 10945, + "estimated_eval_tokens": 22146 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "This is a loose similarity cluster of parallel \"refactor output tracing\" PRs across different model implementations, plus one unrelated docs toctree edit. They share a pattern and vocabulary, but not the same concrete change or code path, so there is no true duplicate PR set here.", - "confidence": 0.95, + "summary": "This cluster is mostly a pile of model-specific output-tracing refactors plus one unrelated docs toctree edit. They share a theme, but they are not the same underlying change, so there are no true duplicate PR pairs here.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR: the PRs are independent, model-specific output-tracing refactors rather than duplicate fixes for one shared code path.", + "canonical_pr_reason": "PR 44003 is the most representative and substantial of the output-tracing refactors: it spans two model files (FalconMamba and Mamba) and adds shared output-capture plumbing, making it the best cluster anchor.", "best_issue_reason": null, - "best_pr_reason": "44003 is the broadest representative of the pattern, but it still only covers Mamba/Falcon-Mamba and is not a mergeable duplicate of the other PRs.", + "best_pr_reason": "PR 44003 is the best single representative PR because it is the broadest code-level refactor in the set and most clearly centers on the output-tracing infrastructure rather than a narrow model-only wrapper change.", "soft_edge_verdicts": [ { "left": "pull_request:43998", "right": "pull_request:44002", "accept": false, - "reason": "Same refactor theme, but different model files and code paths; not the same underlying change." + "reason": "Different model families (timm_backbone vs upernet). Same refactor theme, but not the same bug or code path." }, { "left": "pull_request:43998", "right": "pull_request:44000", "accept": false, - "reason": "Both are output-tracing refactors, but they target unrelated model implementations." + "reason": "Different model wrappers and files; both touch output tracing, but they are separate model-specific changes." }, { "left": "pull_request:43998", "right": "pull_request:44001", "accept": false, - "reason": "Different models with separate forward paths; too broad a similarity to count as a duplicate." + "reason": "Unrelated model implementations (timm_backbone vs univnet). Similar API cleanup only." }, { "left": "pull_request:43998", "right": "pull_request:44003", "accept": false, - "reason": "Timm backbone vs Mamba/Falcon-Mamba are unrelated code paths, so these are not mergeable as one PR." + "reason": "Timm backbone refactor is unrelated to the Mamba/FalconMamba output-capture change." }, { "left": "pull_request:43998", "right": "pull_request:44029", "accept": false, - "reason": "Same naming pattern, but separate model code and different behavior; not a duplicate fix." + "reason": "Different model code paths (timm_backbone vs rwkv); shared theme is too broad to duplicate." }, { "left": "pull_request:43999", "right": "pull_request:44001", "accept": false, - "reason": "MobileNetV1 and UnivNet are unrelated model implementations; this is only a shared refactor style." + "reason": "MobileNetV1 and UnivNet are separate models with different forward signatures and tracing setup." }, { "left": "pull_request:43999", "right": "pull_request:44002", "accept": false, - "reason": "They both modernize output handling, but in different models with different forward logic." + "reason": "Different model families; both are tracing refactors, not the same concrete fix." }, { "left": "pull_request:43999", "right": "pull_request:44025", "accept": false, - "reason": "Different model families and files; not the same concrete bug or change." + "reason": "MobileNetV1 vs Depth Anything are unrelated model paths." }, { "left": "pull_request:43999", "right": "pull_request:44026", "accept": false, - "reason": "Same broad output-tracing cleanup, but the code paths are distinct encoder-decoder vs MobileNetV1." + "reason": "Separate encoder/decoder wrappers and distinct implementations; not one merged change." }, { "left": "pull_request:43999", "right": "pull_request:44027", "accept": false, - "reason": "These touch unrelated models; similarity is only at the refactor pattern level." + "reason": "MobileNetV1 and SpeechEncoderDecoder are unrelated code paths." }, { "left": "pull_request:44000", "right": "pull_request:44001", "accept": false, - "reason": "Vision-text dual encoder and UnivNet are separate implementations; not one shared fix." + "reason": "Vision-text dual encoder vs UnivNet; same pattern, different model logic." }, { "left": "pull_request:44000", "right": "pull_request:44002", "accept": false, - "reason": "Same refactor theme, but different model classes and output paths." + "reason": "Different models and different forward behaviors; not a shared bug." }, { "left": "pull_request:44000", "right": "pull_request:44003", "accept": false, - "reason": "Different subsystems and model families; not plausibly merged into one PR." + "reason": "Vision-text dual encoder refactor is unrelated to Mamba/FalconMamba output recording." }, { "left": "pull_request:44000", "right": "pull_request:44025", "accept": false, - "reason": "Both are output-tracing refactors, but for unrelated model code paths." + "reason": "Distinct model families with no shared code path." }, { "left": "pull_request:44001", "right": "pull_request:44002", "accept": false, - "reason": "UnivNet and UperNet are unrelated models; only the refactor pattern matches." + "reason": "UnivNet and UperNet are unrelated models; only the tracing refactor pattern overlaps." }, { "left": "pull_request:44001", "right": "pull_request:44003", "accept": false, - "reason": "Different model stacks and forward implementations; not a duplicate." + "reason": "Different underlying model code and separate forward contracts." }, { "left": "pull_request:44001", "right": "pull_request:44025", "accept": false, - "reason": "These are separate model-specific refactors, not the same underlying change." + "reason": "UnivNet vs Depth Anything is not the same fix." }, { "left": "pull_request:44002", "right": "pull_request:44029", "accept": false, - "reason": "UperNet and RWKV are unrelated code paths; similarity is only conceptual." + "reason": "UperNet and RWKV are separate model implementations; similar cleanup only." }, { "left": "pull_request:44002", "right": "pull_request:44003", "accept": false, - "reason": "Different model families and files; not the same fix." + "reason": "Different model families and different output-tracing mechanisms." }, { "left": "pull_request:44003", "right": "pull_request:44028", "accept": false, - "reason": "Mamba/Falcon-Mamba and SuperPoint are unrelated code paths, so this is not a duplicate." + "reason": "Mamba/FalconMamba output-capture refactor is unrelated to SuperPoint's tracing cleanup." }, { "left": "pull_request:44003", "right": "pull_request:44004", "accept": false, - "reason": "Both refactor outputs, but CodeGen and Mamba address different model internals and cannot be one PR." + "reason": "Mamba/FalconMamba and CodeGen address different code paths and output contracts." }, { "left": "pull_request:43998", "right": "pull_request:44004", "accept": false, - "reason": "Timm backbone and CodeGen are unrelated models; not the same concrete change." + "reason": "Timm backbone and CodeGen are unrelated model implementations." }, { "left": "pull_request:44001", "right": "pull_request:44004", "accept": false, - "reason": "UnivNet and CodeGen have different forward logic and output semantics." + "reason": "UnivNet and CodeGen are different models; only the refactor motif matches." }, { "left": "pull_request:44002", "right": "pull_request:44004", "accept": false, - "reason": "UperNet segmentation and CodeGen are unrelated implementations; not a duplicate." - }, - { - "left": "pull_request:44000", - "right": "pull_request:44004", - "accept": false, - "reason": "Vision-text dual encoder and CodeGen are separate code paths; only the refactor style is shared." + "reason": "UperNet and CodeGen are separate code paths with no shared defect." }, { "left": "pull_request:44025", "right": "pull_request:44026", "accept": false, - "reason": "Depth Anything and Vision-Encoder-Decoder are different model families; same theme, different change." + "reason": "Depth Anything vs VisionEncoderDecoder are distinct models; not the same underlying change." }, { "left": "pull_request:44025", "right": "pull_request:44027", "accept": false, - "reason": "Different encoder-decoder models with distinct forward paths; not mergeable as one fix." + "reason": "Different model families and different forward wrappers." }, { "left": "pull_request:44025", "right": "pull_request:44028", "accept": false, - "reason": "Depth Anything and SuperPoint are unrelated model implementations." + "reason": "Depth Anything and SuperPoint are unrelated code paths." }, { "left": "pull_request:44025", "right": "pull_request:44029", "accept": false, - "reason": "Different models and output structures; only the refactor motif matches." + "reason": "Depth Anything vs RWKV are different models and changes." }, { "left": "pull_request:44025", "right": "pull_request:44030", "accept": false, - "reason": "Depth Anything and DPR are separate code paths, so this is not a duplicate PR." + "reason": "Depth Anything and DPR are separate model implementations." }, { "left": "pull_request:44026", "right": "pull_request:44029", "accept": false, - "reason": "Vision-Encoder-Decoder and RWKV are unrelated models; not the same underlying change." + "reason": "VisionEncoderDecoder and RWKV are unrelated; same broad refactor theme only." }, { "left": "pull_request:44026", "right": "pull_request:44027", "accept": false, - "reason": "Both are model refactors, but for different encoder-decoder stacks and code paths." + "reason": "VisionEncoderDecoder and SpeechEncoderDecoder are similar wrappers but still different code paths and changes." }, { "left": "pull_request:44026", "right": "pull_request:44028", "accept": false, - "reason": "Different model families and forward methods; not a duplicate." + "reason": "Different model families; not mergeable as one concrete fix." }, { "left": "pull_request:44026", "right": "pull_request:44030", "accept": false, - "reason": "Vision-Encoder-Decoder and DPR do not share the same code path or fix." + "reason": "VisionEncoderDecoder and DPR do not share the same underlying bug." }, { "left": "pull_request:44027", "right": "pull_request:44028", "accept": false, - "reason": "Speech-Encoder-Decoder and SuperPoint are unrelated implementations; similarity is only superficial." + "reason": "SpeechEncoderDecoder and SuperPoint are unrelated models." }, { "left": "pull_request:44027", "right": "pull_request:44029", "accept": false, - "reason": "Different model stacks; not the same concrete bug or change." + "reason": "SpeechEncoderDecoder and RWKV are distinct code paths." }, { "left": "pull_request:44027", "right": "pull_request:44030", "accept": false, - "reason": "Speech-Encoder-Decoder and DPR are separate code paths, so not a duplicate." + "reason": "SpeechEncoderDecoder and DPR are separate model wrappers." }, { "left": "pull_request:44028", "right": "pull_request:44029", "accept": false, - "reason": "SuperPoint and RWKV are unrelated models; this is only a shared refactor pattern." + "reason": "SuperPoint and RWKV are unrelated model implementations." }, { "left": "pull_request:44028", "right": "pull_request:44030", "accept": false, - "reason": "Different model domains and forward logic; not mergeable as one PR." + "reason": "SuperPoint and DPR address different code paths." }, { "left": "pull_request:44029", "right": "pull_request:44030", "accept": false, - "reason": "RWKV and DPR are distinct model implementations, not the same underlying fix." + "reason": "RWKV and DPR are separate model-specific changes, not one duplicate fix." }, { "left": "pull_request:44027", "right": "pull_request:46106", "accept": false, - "reason": "Model output-tracing refactor vs docs toctree edit; completely different change." + "reason": "SpeechEncoderDecoder code change is unrelated to the docs toctree edit." }, { "left": "pull_request:44026", "right": "pull_request:46106", "accept": false, - "reason": "A docs navigation tweak is unrelated to encoder-decoder output tracing." + "reason": "VisionEncoderDecoder refactor and docs navigation change are unrelated." }, { "left": "pull_request:44001", "right": "pull_request:46106", "accept": false, - "reason": "UnivNet model refactor and docs toctree change are unrelated." + "reason": "UnivNet output tracing and documentation toctree updates are unrelated." }, { "left": "pull_request:44002", "right": "pull_request:46106", "accept": false, - "reason": "UperNet output tracing and docs navigation changes are not the same issue." + "reason": "UperNet refactor has nothing to do with docs structure." }, { "left": "pull_request:43998", "right": "pull_request:46106", "accept": false, - "reason": "Timm backbone refactor vs docs toctree edit; no shared underlying change." + "reason": "Timm backbone refactor and the docs toctree change are unrelated." } ] }, @@ -19738,12 +19687,12 @@ "pull_request:44662|pull_request:45075", "pull_request:45075|pull_request:45401" ], - "prepared_review_unit_hash": "9ce3da2c82805116caba8aeb7667de2017c21ecf7fa607735fe439e7600f1810", + "prepared_review_unit_hash": "28d5582e5e63a9fdeb021df04d9d43698470c2c907e67aec73be207fb4736a14", "component_budget": { "node_count": 3, "item_count": 3, "soft_pair_count": 3, - "serialized_chars": 10914, + "serialized_chars": 10913, "estimated_input_tokens": 2729, "estimated_eval_tokens": 5714 }, @@ -19751,7 +19700,7 @@ "node_count": 3, "item_count": 3, "soft_pair_count": 3, - "serialized_chars": 10914, + "serialized_chars": 10913, "estimated_input_tokens": 2729, "estimated_eval_tokens": 5714 }, @@ -19760,30 +19709,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "All three pull requests are separate model-onboarding changes for different architectures (PenguinVL, DeepSeek-OCR-2, and Voxtral TTS). They share framework boilerplate and auto-registration updates, but they do not fix the same code-path problem and should not be merged as duplicates.", + "summary": "These are three separate model-addition pull requests (PenguinVL, DeepSeek-OCR-2, and Voxtral TTS) that share the usual Transformers model scaffolding but target different architectures and code paths. They are similar in shape, not duplicates.", "confidence": 0.98, "canonical_issue_reason": null, - "canonical_pr_reason": "No canonical PR: these are distinct model-addition PRs for different models, with different configs, model files, processors, and tests.", + "canonical_pr_reason": "No single canonical PR: each PR adds a different model implementation and supports a different code path.", "best_issue_reason": null, - "best_pr_reason": "PR #45075 is the strongest representative only in the sense of being the most complete model onboarding patch (includes conversion script, image processing variants, and broad integration work), but it is not a duplicate of the others.", + "best_pr_reason": "PR 45075 is the most complete standalone reference among the three, but it is not a duplicate of the others; it simply has the strongest overall model-addition package.", "soft_edge_verdicts": [ { "left": "pull_request:44662", "right": "pull_request:45401", "accept": false, - "reason": "Different models and different functionality: PenguinVL implementation vs Voxtral TTS support. Shared auto-registration/docs scaffolding is generic boilerplate, not the same underlying change." + "reason": "Different models and different targets: PenguinVL vs Voxtral TTS. Shared auto/docs files are generic model-registration boilerplate, not the same underlying change." }, { "left": "pull_request:44662", "right": "pull_request:45075", "accept": false, - "reason": "Both are model additions, but for unrelated models (PenguinVL vs DeepSeek-OCR-2) with different model code, processors, and tests; not the same bug or change." + "reason": "Different model families and implementations. They both add new model support, but for unrelated architectures, so they should not be merged as duplicates." }, { "left": "pull_request:45075", "right": "pull_request:45401", "accept": false, - "reason": "DeepSeek-OCR-2 and Voxtral TTS are distinct model ports with different code paths and file sets. Overlap in shared Transformers registry files is expected and not sufficient for duplication." + "reason": "DeepSeek-OCR-2 and Voxtral TTS address different model code paths and file sets. Similar repository plumbing is expected and is not enough to treat them as one change." } ] }, @@ -19813,12 +19762,12 @@ "soft_pairs": [ "pull_request:44979|pull_request:45363" ], - "prepared_review_unit_hash": "ddb908bc2c2ad10573767698cff54a4cc09e4bfeab13b0514437cdbbc937f8e1", + "prepared_review_unit_hash": "855a2f95aef400e99222ccdc606b5cc09aa83a0260889c64eb7adcfe91baa3de", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4408, + "serialized_chars": 4406, "estimated_input_tokens": 1102, "estimated_eval_tokens": 2460 }, @@ -19826,7 +19775,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4408, + "serialized_chars": 4406, "estimated_input_tokens": 1102, "estimated_eval_tokens": 2460 }, @@ -19835,18 +19784,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are related fusion-feature PRs, but they target different layers of the stack: one adds a generic module-fusion API, while the other wires KernelConfig-driven n-to-1 kernel fusion into model loading/integration code. They are not the same underlying change and would not plausibly be merged into one PR as duplicates.", - "confidence": 0.88, + "summary": "The two PRs are related to module/kernel fusion, but they target different layers and code paths: #44979 adds a general Module Fusion API, while #45363 wires up n-to-1 kernel fusion via KernelConfig and an example. They are not the same change and should not be merged as duplicates.", + "confidence": 0.9, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #45363 is the broader, more user-facing feature work: it threads KernelConfig-based fusion through loading/integration paths and adds an example, making it the better representative PR for this cluster.", + "canonical_pr_reason": "#44979 is the more foundational PR: it introduces the core Module Fusion API and test coverage, whereas #45363 is a separate integration layer for KernelConfig-based kernel fusion.", "best_issue_reason": null, - "best_pr_reason": "PR #45363 is the strongest standalone PR in the cluster because it covers the end-to-end kernel-fusion flow, not just the lower-level fusion primitive.", + "best_pr_reason": "#44979 is the best representative PR for the cluster because it defines the underlying fusion abstraction; #45363 depends on a different, more specific kernel-fusion workflow.", "soft_edge_verdicts": [ { "left": "pull_request:44979", "right": "pull_request:45363", "accept": false, - "reason": "Related fusion infrastructure, but not the same concrete change: #44979 introduces a generic module fusion API, while #45363 implements KernelConfig-based n-to-1 kernel fusion and model integration. Different code paths and different deliverables." + "reason": "They discuss fusion in general, but one is a core API addition and the other is a specific KernelConfig integration/example. Different concrete changes, not the same underlying PR." } ] }, @@ -19876,7 +19825,7 @@ "soft_pairs": [ "pull_request:45086|pull_request:45317" ], - "prepared_review_unit_hash": "0318b8c1f01b668dbf8de1b6494e3f882a32eee2de79063bfd6c92196d92ff02", + "prepared_review_unit_hash": "5e2940f8b1e3da5fc64ac83a8414886d6965a47c3d1afea7922dc4640973f5e4", "component_budget": { "node_count": 2, "item_count": 2, @@ -19898,18 +19847,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both pull requests fix the same concrete Mistral regex patching AttributeError in the same code path, and the later PR 45317 appears to be the more complete version with tests.", - "confidence": 0.98, + "summary": "Both PRs fix the same Mistral regex AttributeError in the same function and even share the same issue target; 45317 is the more complete version because it adds tests.", + "confidence": 0.99, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45317 is the better canonical PR because it implements the same fix as 45086 and adds test coverage in the same area.", + "canonical_pr_reason": "PR 45317 is the best canonical PR because it implements the same code fix as 45086 and also includes test coverage, making it the more complete change set.", "best_issue_reason": null, - "best_pr_reason": "PR 45317 is the strongest representative of the cluster since it contains the same code fix plus validation tests.", + "best_pr_reason": "PR 45317 is the strongest representative of the cluster since it contains the core fix plus validation tests, whereas 45086 is the narrower earlier patch.", "soft_edge_verdicts": [ { "left": "pull_request:45086", "right": "pull_request:45317", "accept": true, - "reason": "Same underlying bug and same file-level fix: both replace backend_tokenizer.pre_tokenizer access with tokenizer.pre_tokenizer to avoid the AttributeError in _patch_mistral_regex; the later PR adds tests and looks like the merged-into-one version." + "reason": "Same underlying bug fix in the same file/function, same explicit issue target, and the diff is essentially the same with 45317 only adding tests." } ] }, @@ -19939,12 +19888,12 @@ "soft_pairs": [ "pull_request:45115|pull_request:45569" ], - "prepared_review_unit_hash": "a0d32dbf900967b20dd8a2eb632d3209833b81316aed3f16ba8f00e1ef6ea8d1", + "prepared_review_unit_hash": "42c808ae4e7050a162cab3a5c916265c41f9fe7f3a8be093dba365f3a0592e38", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6066, + "serialized_chars": 6065, "estimated_input_tokens": 1517, "estimated_eval_tokens": 3290 }, @@ -19952,7 +19901,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 6066, + "serialized_chars": 6065, "estimated_input_tokens": 1517, "estimated_eval_tokens": 3290 }, @@ -19961,18 +19910,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two related NemotronH pull requests, but they address different changes: one is a conversion/refactor PR for NemotronH-to-GraniteMoeHybrid style mapping, while the other splits NemotronH into dense and sparse model variants with docs/tests updates.", - "confidence": 0.9, + "summary": "These PRs are related to NemotronH model support, but they target different slices of work: one is a narrow refactor/conversion-mapping update, the other is a broader model split and docs/tests update. They are not duplicates.", + "confidence": 0.89, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45569 is the better canonical PR because it is the broader, more complete architecture change and includes the user-facing docs/test surface; PR 45115 is a narrower conversion-mapping refactor.", + "canonical_pr_reason": "PR #45569 is the better canonical PR because it appears to be the more complete, user-facing implementation: it adds the NemotronH dense/sparse model docs, auto-mapping updates, model files, and tests, whereas #45115 is a narrower refactor focused on conversion mapping and inheritance wiring.", "best_issue_reason": null, - "best_pr_reason": "PR 45569 best represents the cluster since it introduces the new dense/sparse NemotronH model family and associated documentation, which is the larger end-state change in this set.", + "best_pr_reason": "PR #45569 is the best representative of the cluster since it covers the larger end-to-end NemotronH change set and is more likely to subsume the smaller refactor work in #45115.", "soft_edge_verdicts": [ { "left": "pull_request:45115", "right": "pull_request:45569", "accept": false, - "reason": "They share NemotronH files, but the concrete changes differ: 45115 updates checkpoint conversion and internal inheritance/mapping, while 45569 introduces separate dense/sparse model packages, docs, and tests. These are distinct code paths and not the same fix." + "reason": "Related subsystem, but not the same concrete change: #45115 is mainly conversion-mapping / inheritance refactoring, while #45569 adds the actual dense/sparse model split, docs, and tests. They could not plausibly be merged as one PR without widening scope materially." } ] }, @@ -20002,12 +19951,12 @@ "soft_pairs": [ "pull_request:45332|pull_request:45333" ], - "prepared_review_unit_hash": "b84a21632379376bce376ce6126e669c3411561e3490420576a181c29c99c5c8", + "prepared_review_unit_hash": "f13a02df7ec997f6f8ea369c1558a81565cde0a8215b46467c3394b548484c4f", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5398, + "serialized_chars": 5397, "estimated_input_tokens": 1350, "estimated_eval_tokens": 2956 }, @@ -20015,7 +19964,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 5398, + "serialized_chars": 5397, "estimated_input_tokens": 1350, "estimated_eval_tokens": 2956 }, @@ -20024,18 +19973,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Two related but distinct feature PRs: one adds heterogeneous per-layer config support, the other adds heterogeneous modeling/runtime support that consumes that config. They overlap in files and theme, but they are not duplicates of the same change.", - "confidence": 0.93, + "summary": "Two related but distinct PRs: one adds per-layer heterogeneous config support, the other adds broader heterogeneous model/runtime support built on top of it. They overlap in shared heterogeneity/config code, but they are not the same concrete change.", + "confidence": 0.87, "canonical_issue_reason": null, - "canonical_pr_reason": "PR #45332 is the broader, more end-to-end change: it adds heterogeneous model/runtime support across cache, masking, modeling, and GPT-OSS code paths, building on the config primitives. It is the better representative of the feature cluster.", + "canonical_pr_reason": "Pick PR #45332 as canonical: it is the broader, more representative feature PR and includes the model/cache/runtime pieces in addition to the shared heterogeneous config work.", "best_issue_reason": null, - "best_pr_reason": "PR #45332 is the stronger anchor for the cluster because it exercises the new heterogeneous config in concrete model execution paths and spans the larger user-facing change set.", + "best_pr_reason": "PR #45332 is the best cluster representative because it spans the largest concrete user-facing change and subsumes the narrower config-only work.", "soft_edge_verdicts": [ { "left": "pull_request:45332", "right": "pull_request:45333", "accept": false, - "reason": "Related feature work, but not the same underlying change. #45333 introduces per-layer heterogeneous config plumbing; #45332 adds heterogeneous modeling/runtime support that consumes such configs. They touch the same subsystem, but they would not be duplicates or a single fix for one concrete code-path bug." + "reason": "Reject: #45333 adds foundational per-layer config support, while #45332 adds model/cache support for heterogeneous execution. They are related, but they fix/introduce different layers of the feature stack and would not be cleanly merged as one duplicate PR." } ] }, @@ -20065,7 +20014,7 @@ "soft_pairs": [ "pull_request:45415|pull_request:45425" ], - "prepared_review_unit_hash": "cf1f79e3ab618fd6f9e346372674f383ad58c36bb39b1e0283e58d96130fc486", + "prepared_review_unit_hash": "0068b27445ba1216692a134d0d9059f83857eeaeda715f490cbcab4bca499c2c", "component_budget": { "node_count": 2, "item_count": 2, @@ -20087,18 +20036,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are both typing-related PRs, but they target different changes: one is a broad type-checking sweep across many transformer files, while the other adds specific typing helpers/protocols for modeling-related code. They do not look like the same underlying fix.", - "confidence": 0.91, + "summary": "The two PRs are both typing-related, but they address different changes: PR 45415 is a broad type-checking sweep with config suppressions across many files, while PR 45425 adds specific shared typing aliases/protocols for modeling_utils/PEFT and related utilities. They are not duplicates.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical PR: 45415 is a broad type-checking cleanup, while 45425 is a focused typing-helper/refactor PR; they are related but not duplicates.", + "canonical_pr_reason": "No single canonical duplicate PR: 45415 is a repo-wide typing cleanup, whereas 45425 is a separate core typing-API change.", "best_issue_reason": null, - "best_pr_reason": "45425 is the more self-contained and concrete PR, with a narrower code change centered on new typing protocols and helpers.", + "best_pr_reason": "45425 is the better representative if a single PR must be chosen because it makes a concrete reusable typing change in shared infrastructure; 45415 is broader and largely config/sweep oriented.", "soft_edge_verdicts": [ { "left": "pull_request:45415", "right": "pull_request:45425", "accept": false, - "reason": "Both are typing work, but the scopes differ materially: 45415 is a broad mypy/type-checking sweep across many files, whereas 45425 adds targeted typing abstractions and support in modeling_utils/peft. They do not fix the same concrete problem and would not reasonably merge into one duplicate PR." + "reason": "Both are about typing, but the concrete work differs: 45415 is a broad type-checking pass and ignore-policy update, while 45425 adds specific typing protocols/aliases for modeling_utils/PEFT. They would not plausibly be merged as one PR." } ] }, @@ -20132,7 +20081,7 @@ "pull_request:46109|pull_request:46151", "pull_request:46135|pull_request:46151" ], - "prepared_review_unit_hash": "fe9c0b0fd9318120df780bce51a1aa4c2753f406d4fcee51f397fb7b1d11d3cb", + "prepared_review_unit_hash": "09c14c0d52599ef43e8cf1099c0a787e7e23088c216f341d325c7bfbdd33bd6f", "component_budget": { "node_count": 4, "item_count": 4, @@ -20154,30 +20103,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "These are four unrelated open PRs: one model-parallel fix for AltCLIP/ChineseCLIP, one distributed trainer test generalization, one Kosmos2.5 XPU integration-test adjustment, and one token-classification pipeline expectation update. The soft similarity is only broad testing/accelerator overlap, not the same underlying change.", - "confidence": 0.94, + "summary": "These PRs are all test/runtime portability changes, but they target different subsystems and failure modes. None look like true duplicates; 46109 is the broadest and most representative of the cluster\u2019s device-normalization theme.", + "confidence": 0.84, "canonical_issue_reason": null, - "canonical_pr_reason": "No true canonical duplicate exists in this cluster; PR 46151 is the cleanest representative only because it is the most self-contained test-expectation update, but it does not match the others\u2019 concrete change.", + "canonical_pr_reason": "PR 46109 is the best representative because it makes a general device-string assertion update across distributed trainer tests, which is broader and more central than the single-model or single-test expectation tweaks in the other PRs.", "best_issue_reason": null, - "best_pr_reason": "PR 46151 is the most focused and understandable single change in the set, but it is not a duplicate of the others and should not be used to merge the cluster.", + "best_pr_reason": "PR 46109 has the clearest, most general change and spans multiple distributed test cases, making it the strongest standalone candidate in this cluster.", "soft_edge_verdicts": [ { "left": "pull_request:45487", "right": "pull_request:46151", "accept": false, - "reason": "Different targets and bugs: model-parallel token_type_ids/device handling in AltCLIP/ChineseCLIP vs token-classification pipeline test expectations." + "reason": "Different problems: 45487 fixes AltCLIP/ChineseCLIP model-parallel token-type device placement, while 46151 only adds XPU expectations for a token-classification pipeline test." }, { "left": "pull_request:46109", "right": "pull_request:46151", "accept": false, - "reason": "Both touch tests, but one generalizes distributed trainer device assertions while the other adds pipeline token-classification expectations; not the same concrete change." + "reason": "Both touch tests, but the underlying changes differ: 46109 generalizes distributed trainer device assertions, while 46151 adds per-device expectations for a pipeline test." }, { "left": "pull_request:46135", "right": "pull_request:46151", "accept": false, - "reason": "Both adjust accelerator-specific test expectations, but for different models and behaviors (Kosmos2.5 integration vs token classification pipeline); not mergeable as one PR." + "reason": "These are unrelated test updates for different models and behaviors: Kosmos2.5 integration expectations vs. token-classification pipeline expectations." } ] }, @@ -20209,12 +20158,12 @@ "pull_request:45513|pull_request:46084", "pull_request:46084|pull_request:46098" ], - "prepared_review_unit_hash": "7e593779429368ea08183ccdd6f6978b31c7cc2b25eb36fa4f337e24e44dfe61", + "prepared_review_unit_hash": "c16b10a74f3b10778b4c0cd513d7ab14a26f2e20a374b3d913006cf7c45d769c", "component_budget": { "node_count": 3, "item_count": 3, "soft_pair_count": 2, - "serialized_chars": 7427, + "serialized_chars": 7428, "estimated_input_tokens": 1857, "estimated_eval_tokens": 3970 }, @@ -20222,7 +20171,7 @@ "node_count": 3, "item_count": 3, "soft_pair_count": 2, - "serialized_chars": 7427, + "serialized_chars": 7428, "estimated_input_tokens": 1857, "estimated_eval_tokens": 3970 }, @@ -20231,30 +20180,30 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "The cluster contains two unrelated PRs for cached-forward bugs: one in Qwen/Olmo hybrid attention and one in Mamba2. Only the two Mamba2 PRs appear to target the same underlying seq_len>1 cache bug; the Qwen/Olmo PR is separate.", - "confidence": 0.95, + "summary": "One PR is unrelated (Qwen3.5 vs Mamba2). The two Mamba2 PRs appear to address the same cached `use_cache` / `seq_len > 1` bug and are the closest duplicate pair in the cluster.", + "confidence": 0.76, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 46098 is the best representative of the Mamba2 fix: it addresses the seq_len>1 use_cache bug directly, includes regression coverage, and documents the behavior change. PR 46084 is a narrower implementation-only slice of the same underlying fix.", + "canonical_pr_reason": "PR #46098 is the best canonical PR: it targets the shared Mamba2 `use_cache` seq_len>1 bug, explicitly covers both CPU and GPU paths, and includes tests plus docs, making it the most complete fix.", "best_issue_reason": null, - "best_pr_reason": "PR 46098 is the strongest global representative because its title and diff align most clearly with the full Mamba2 cached-forward bug, while 46084 looks like a partial/smaller patch to the same code path.", + "best_pr_reason": "PR #46098 is the strongest representative because it is the most comprehensive implementation of the common Mamba2 cached-forward bug and is explicitly tied to issue #46032.", "soft_edge_verdicts": [ { "left": "pull_request:45513", "right": "pull_request:46084", "accept": false, - "reason": "Different models and different bugs: 45513 is about Qwen3.5/related hybrid cached multi-token forward behavior, while 46084 fixes Mamba2 use_cache when seq_len>1." + "reason": "Different models and different code paths: Qwen3.5 GDN linear attention vs Mamba2 mixer cached forward. Similar wording about cached multi-token behavior is not enough to treat them as the same fix." }, { "left": "pull_request:46084", "right": "pull_request:46098", "accept": true, - "reason": "Same underlying Mamba2 cache bug in the same code path (use_cache with seq_len>1); 46098 appears to be a fuller version with docs/tests around the same fix, so they could plausibly be merged into one PR." + "reason": "Both target the same Mamba2 `use_cache` with `seq_len > 1` bug, share the same issue target (#46032), and touch the same model/test files; the fixes are plausibly mergeable into one PR." } ] }, "evaluator_result": { "accept": true, - "feedback": "The summary is grounded in the packet: PR 45513 is a separate model family and bug from the Mamba2 fixes, while 46084 and 46098 share the same issue target (46032), filenames, and seq_len>1 use_cache bug. The soft-edge verdicts are conservative enough, and the 46084/46098 pair looks mergeable into a single PR for the same bugfix." + "feedback": "The verdicts are conservative and grounded in the packet. PR 45513 is clearly on a different set of models/code paths than Mamba2, so rejecting that pair is justified. PRs 46084 and 46098 both target the same Mamba2 `use_cache` `seq_len > 1` bug, share issue #46032, and overlap in the same model/test files, so treating them as a mergeable duplicate pair is reasonable. The summary stays appropriately soft." }, "evaluator_used": true, "retried": false, @@ -20281,7 +20230,7 @@ "soft_pairs": [ "pull_request:45548|pull_request:45662" ], - "prepared_review_unit_hash": "1d670eb6bd04fb8d8cc38bdcbbfa9e16321f3d257ee580ded6ea7fa2547a0921", + "prepared_review_unit_hash": "0ecd9bab613233028ace6e560f7ab13c7e38ea483a9b3d31934edecab778ed08", "component_budget": { "node_count": 2, "item_count": 2, @@ -20303,18 +20252,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs concern expert-parallel loading paths, but they target different failure modes and distributed backends: one fixes EP + DeepSpeed ZeRO-3 loading via accelerate launch, the other fixes EP + FSDP2 where experts are overwritten by rank-0 broadcast. Related area, not the same underlying change.", - "confidence": 0.88, + "summary": "Both PRs concern expert parallelism, but they target different bugs: one fixes EP loading/serialization with DeepSpeed ZeRO-3, while the other fixes experts being overwritten during FSDP2/rank-0 broadcast. They are related in subsystem, not the same change.", + "confidence": 0.96, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45662 is the more concrete and self-contained fix: it addresses a specific expert-parallel parameter loading corruption path and touches the loader where the bug occurs.", + "canonical_pr_reason": "PR 45662 is the stronger representative of the cluster because it addresses a concrete runtime corruption path with broader code changes, while PR 45548 is a narrower loading/serialization fix.", "best_issue_reason": null, - "best_pr_reason": "PR 45662 is the better representative of the cluster because it fixes the more explicit code-path bug and has a clearer, narrower technical scope than the configuration/property tweak in 45548.", + "best_pr_reason": "PR 45662 is the best standalone PR candidate here: it targets a specific expert-parameter overwrite bug and contains the most direct, code-path-focused fix.", "soft_edge_verdicts": [ { "left": "pull_request:45548", "right": "pull_request:45662", "accept": false, - "reason": "They share the EP/distributed-loading theme, but the bugs differ: 45548 is about EP + DeepSpeed ZeRO-3/accelerate config handling, while 45662 is about EP + FSDP2 parameter overwrites during sharded loading. Not the same concrete fix and not safely mergeable into one PR." + "reason": "Both are EP-related, but 45548 fixes loading via accelerate/ZeRO-3 and serialization of distributed_config, whereas 45662 fixes rank-0 broadcast overwriting experts under FSDP2. Different bug, different code path." } ] }, @@ -20344,12 +20293,12 @@ "soft_pairs": [ "pull_request:45639|pull_request:45645" ], - "prepared_review_unit_hash": "ead192a85047a3a477fc0df20f2d0255c49773304ee9a686e495f2a787800c14", + "prepared_review_unit_hash": "66742b96cafb52f67544a2fe6cdaa72ec24dddca26dfda2b318039dddffd5962", "component_budget": { "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4590, + "serialized_chars": 4589, "estimated_input_tokens": 1148, "estimated_eval_tokens": 2552 }, @@ -20357,7 +20306,7 @@ "node_count": 2, "item_count": 2, "soft_pair_count": 1, - "serialized_chars": 4590, + "serialized_chars": 4589, "estimated_input_tokens": 1148, "estimated_eval_tokens": 2552 }, @@ -20366,18 +20315,18 @@ "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "Both PRs target the same captured_info/xdist collision problem, but PR 45645 is the broader, more complete fix: it includes the xdist-safe testing_utils change plus CI workflow updates to preserve and print multiple captured_info files. PR 45639 is a narrower subset of that same change.", - "confidence": 0.93, + "summary": "Both PRs address the same underlying xdist collision problem for `captured_info` debug artifacts in `testing_utils`; PR 45645 is the broader, more complete fix and subsumes the core change from 45639.", + "confidence": 0.88, "canonical_issue_reason": null, - "canonical_pr_reason": "PR 45645 is the best canonical PR because it covers the core xdist-safe artifact fix and the downstream CI/reporting changes needed to consume the new per-worker captured_info files.", + "canonical_pr_reason": "PR 45645 is the best canonical PR because it contains the core xdist-safe filename fix in `testing_utils` plus the downstream CI/log handling needed to consume multiple `captured_info*.txt` files, making it the most complete representation of the change.", "best_issue_reason": null, - "best_pr_reason": "PR 45645 is the strongest representative of the cluster: same underlying bug, same shared testing_utils/test changes, and additional workflow handling that makes the fix complete.", + "best_pr_reason": "PR 45645 is the strongest standalone representative of the cluster: it fixes the same collision bug as 45639 and also updates the workflow path that reads the generated artifacts, so it captures the full end-to-end change.", "soft_edge_verdicts": [ { "left": "pull_request:45639", "right": "pull_request:45645", "accept": true, - "reason": "They fix the same concrete captured_info xdist collision path; 45645 appears to incorporate 45639\u2019s core testing_utils/test changes and adds CI log aggregation, so they could plausibly be merged into one PR." + "reason": "Both PRs fix the same concrete bug: xdist workers colliding on `captured_info.txt` output in `testing_utils`. PR 45645 extends the same fix to CI artifact collection, so these could plausibly be merged as one change." } ] }, @@ -20480,70 +20429,70 @@ "pull_request:46073|pull_request:46196", "pull_request:46154|pull_request:46196" ], - "prepared_review_unit_hash": "a788a403e1fccb6d7fbe8637de0167202813b8cfcfed3f459c0a402edd9c8e53", + "prepared_review_unit_hash": "ac2873275aac0ef1d7fa8675f58e6306bf3a5ebceae8fb5f1fecbd04ab41b065", "component_budget": { "node_count": 4, "item_count": 4, "soft_pair_count": 6, - "serialized_chars": 10496, - "estimated_input_tokens": 2624, - "estimated_eval_tokens": 5504 + "serialized_chars": 10497, + "estimated_input_tokens": 2625, + "estimated_eval_tokens": 5506 }, "budget": { "node_count": 4, "item_count": 4, "soft_pair_count": 6, - "serialized_chars": 10496, - "estimated_input_tokens": 2624, - "estimated_eval_tokens": 5504 + "serialized_chars": 10497, + "estimated_input_tokens": 2625, + "estimated_eval_tokens": 5506 }, "overflow_policy": "truncate_then_skip", "trimmed": false, "aggressively_trimmed": false, "split": false, "analyst_result": { - "summary": "All four PRs are about adding SDPA/attention-dispatch support, but each targets a different model family and code path, so they are related theme-wise rather than duplicates.", - "confidence": 0.93, + "summary": "These are all model-specific PRs adding attention-dispatch/SDPA support, but they target different architectures and code paths, so they are thematically similar rather than duplicates.", + "confidence": 0.94, "canonical_issue_reason": null, - "canonical_pr_reason": "No single canonical duplicate PR: these are separate model-specific implementations (ShieldGemma2, CTRL, T5, SeamlessM4T/v2) rather than one change that could be merged into a single PR.", + "canonical_pr_reason": "PR 46196 is the broadest single implementation here, covering both SeamlessM4T and SeamlessM4T v2 with the same SDPA dispatch pattern; the others are narrower, model-specific variants.", "best_issue_reason": null, - "best_pr_reason": "PR 46196 is the best representative of the cluster because it is the most complete model-family update, covering both SeamlessM4T and SeamlessM4T v2 plus tests.", + "best_pr_reason": "PR 46196 is the best representative of the cluster because it has the widest scope among the four PRs and includes the most complete paired model support and tests.", "soft_edge_verdicts": [ { "left": "pull_request:46069", "right": "pull_request:46073", "accept": false, - "reason": "Same general SDPA theme, but they modify different model implementations (ShieldGemma2 vs CTRL) and cannot plausibly be merged as one fix." + "reason": "Different model implementations and code paths: ShieldGemma2 image classification vs CTRL language modeling. Same broad feature theme, but not the same underlying fix." }, { "left": "pull_request:46069", "right": "pull_request:46154", "accept": false, - "reason": "Both add attention-dispatch support, but they target unrelated model code paths (ShieldGemma2 vs T5) with different implementation details." + "reason": "Different architectures and files: ShieldGemma2 vs T5. Both add attention-dispatch support, but they are separate model-specific changes." }, { "left": "pull_request:46069", "right": "pull_request:46196", "accept": false, - "reason": "These are separate model-family changes; ShieldGemma2 image-classification attention dispatch is not the same underlying change as SeamlessM4T/v2 seq2seq attention dispatch." + "reason": "ShieldGemma2 image model support is unrelated to SeamlessM4T/v2 seq2seq/audio-text code paths; too different to be one merged fix." }, { "left": "pull_request:46073", "right": "pull_request:46154", "accept": false, - "reason": "CTRL and T5 are different architectures and model files; this is a shared feature theme, not the same concrete bug or change." + "reason": "CTRL and T5 are distinct model code paths. Shared SDPA-dispatch theme is not enough to treat them as duplicates." }, { "left": "pull_request:46073", "right": "pull_request:46196", "accept": false, - "reason": "Different model families and code paths; support for CTRL sdpa dispatch is not duplicate work with SeamlessM4T/v2 dispatch support." + "reason": "CTRL causal LM attention dispatch and SeamlessM4T/v2 multimodal seq2seq dispatch are separate implementations, not the same bug or change." }, { "left": "pull_request:46154", "right": "pull_request:46196", "accept": false, - "reason": "Both are sdpa-dispatch PRs, but they fix distinct model implementations (T5-related vs SeamlessM4T/v2), so they should stay separate." + "reason": "T5 and SeamlessM4T/v2 touch different model families and attention stacks; these are parallel feature ports, not one duplicate PR." } ] }, diff --git a/analysis/current/manifest.json b/analysis/current/manifest.json index 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evidence." + }, + { + "cluster_id": "cluster-46100-2", + "canonical_pr_number": 46100, + "duplicate_pr_numbers": [ + 46114 + ], + "target_issue_number": null, + "reason": "PRs in cluster-46100-2 are treated as duplicates because they share soft_similarity evidence." + } + ], + "best_issue": { + "cluster_id": "cluster-45647-3", + "issue_number": 45647, + "reason": "Issue #45647 is the strongest global issue candidate because it is open, belongs to a cluster with 3 artifacts, and carries 12 discussion comments plus 8 inbound references.", + "score": 162.0 + }, + "best_pr": { + "cluster_id": "cluster-43979-11", + "pr_number": 44007, + "reason": "PR #44007 is the strongest global PR candidate because it is open, belongs to a cluster with 11 artifacts, links to 1 issues, and carries 2 review/discussion events.", + "score": 238.886 + } +} diff --git a/snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/analysis-report-hybrid.llm-reviews.json 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The only strong duplicate subclusters are the ZeRO-3 index-0 crashes on model loading, the Qwen3.5 MoE rotary-embedding/offload materialization bug, and the AutoTokenizer v5 regression affecting multiple model families. Similarity-only edges around docs, device mapping, or unrelated model errors should be rejected.", + "confidence": 0.88, + "canonical_issue_reason": "No single canonical issue spans the whole set; if forced to pick one representative for the strongest duplicate subcluster, issue:45920 is the best canonical because it is the broadest report of the AutoTokenizer v5 token-ID regression and subsumes the narrower Granite-only repro in 45812.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45920 is the best issue anchor overall because it is open, broad, and describes the shared tokenizer regression across several model families; it is more representative than narrower model-specific reproductions.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44322", + "right": "issue:45464", + "accept": false, + "reason": "Different failures: missing config attribute vs streaming chat/completions inference error." + }, + { + "left": "issue:45237", + "right": "issue:45685", + "accept": false, + "reason": "Unrelated hardware/runtime issues: AMD GPU failure vs MPS histogram op on Int." + }, + { + "left": "issue:43716", + "right": "issue:45237", + "accept": false, + "reason": "Different model/runtime paths: image-preprocessor dtype mismatch vs GPT-OSS AMD GPU failure." + }, + { + "left": "issue:43828", + "right": "issue:45237", + "accept": false, + "reason": "Both are runtime errors, but the code paths and root causes differ; this is not the same bug." + }, + { + "left": "issue:45237", + "right": "issue:45507", + "accept": false, + "reason": "Different model-specific failures: AMD GPU issue vs invalid-method call in GraniteMoEHybrid." + }, + { + "left": "issue:44292", + "right": "issue:45237", + "accept": false, + "reason": "Different repros and symptoms; Qwen NVFP4 failure is not the same as the AMD GPU crash." + }, + { + "left": "issue:30277", + "right": "issue:35545", + "accept": false, + "reason": "DeepSpeed collective mismatch and ONNX export error are unrelated bugs." + }, + { + "left": "issue:35545", + "right": "issue:42915", + "accept": false, + "reason": "Different subsystems and failures: ONNX export vs FineGrainedFP8 model load/runtime issue." + }, + { + "left": "issue:35545", + "right": "issue:41720", + "accept": false, + "reason": "Unrelated problems: ONNX export vs auto device-mapping CUDA assert." + }, + { + "left": "issue:45901", + "right": "issue:46015", + "accept": false, + "reason": "Table QA crash and outdated RAG docs are not the same underlying issue." + }, + { + "left": "issue:44509", + "right": "issue:44512", + "accept": false, + "reason": "Both are doc cleanups for v5 removals, but they cover different removed references and different pages." + }, + { + "left": "issue:35545", + "right": "issue:36010", + "accept": false, + "reason": "ONNX export error and GenerationMixin import error are unrelated." + }, + { + "left": "issue:44805", + "right": "issue:45823", + "accept": false, + "reason": "Different bug classes: mask/shape mismatch vs device-mapping mismatch." + }, + { + "left": "issue:44918", + "right": "issue:46165", + "accept": false, + "reason": "Different failures: TRL SFT input-embedding unpacking vs training-resume/trust-remote-code issue." + }, + { + "left": "issue:43638", + "right": "issue:44805", + "accept": false, + "reason": "Both mention indexing/shape errors, but the model and failure mode differ; not the same bug." + }, + { + "left": "issue:43638", + "right": "issue:46165", + "accept": false, + "reason": "ZeRO-3 Bert loading crash and training-resume issue are unrelated." + }, + { + "left": "issue:43596", + "right": "issue:44805", + "accept": false, + "reason": "Different errors: ZeRO-3 empty-tensor index crash vs attention mask shape mismatch." + }, + { + "left": "issue:44805", + "right": "issue:45161", + "accept": false, + "reason": "Mask shape mismatch is not the same as GPT-OSS tensor-parallel failure." + }, + { + "left": "issue:44560", + "right": "issue:46165", + "accept": false, + "reason": "Video StopIteration in Qwen3-vl-embedding is unrelated to resume-training behavior." + }, + { + "left": "issue:43596", + "right": "issue:46165", + "accept": false, + "reason": "ZeRO-3 Bert init crash and local-model resume issue are different." + }, + { + "left": "issue:44805", + "right": "issue:44918", + "accept": false, + "reason": "Both involve tensor shapes, but the trainer/input-embedding failure is a different code path." + }, + { + "left": "issue:43572", + "right": "issue:46165", + "accept": false, + "reason": "Missing pad_token_idx in config is unrelated to training resume with trust_remote_code." + }, + { + "left": "issue:34634", + "right": "issue:35545", + "accept": false, + "reason": "BarkProcessor voice_preset issue and ONNX export error are unrelated." + }, + { + "left": "issue:30277", + "right": "issue:43638", + "accept": false, + "reason": "Both involve DeepSpeed, but collective mismatch and ZeRO-3 index error are different bugs." + }, + { + "left": "issue:43596", + "right": "issue:43638", + "accept": true, + "reason": "Same underlying ZeRO-3 failure: index-0/out-of-bounds on empty tensors during BERT loading." + }, + { + "left": "issue:43039", + "right": "issue:45161", + "accept": false, + "reason": "Liger Kernel cross-entropy being called and GPT-OSS TP failure are unrelated." + }, + { + "left": "issue:43975", + "right": "issue:44457", + "accept": false, + "reason": "Detokenization bug and LoRA merge/save/reload inconsistency are different problems." + }, + { + "left": "issue:44292", + "right": "issue:44457", + "accept": false, + "reason": "Qwen NVFP4 runtime failure and LoRA merge inconsistency do not share the same root cause." + }, + { + "left": "issue:34928", + "right": "issue:44805", + "accept": false, + "reason": "Activation-checkpointing/FSDP recomputation mismatch is a different issue from the mask-shape IndexError." + }, + { + "left": "issue:24643", + "right": "issue:30277", + "accept": false, + "reason": "Both mention DeepSpeed, but the weight-dimension error and collective mismatch are different failures." + }, + { + "left": "issue:45859", + "right": "issue:45902", + "accept": true, + "reason": "Same Qwen3.5 MoE rotary-embedding/offload materialization bug; one report surfaces it as CPU-offload incompatibility, the other as uninitialized inv_freq after to_empty()." + }, + { + "left": "issue:43638", + "right": "issue:45161", + "accept": false, + "reason": "Bert ZeRO-3 index crash and GPT-OSS tensor-parallel failure are unrelated." + }, + { + "left": "issue:34928", + "right": "issue:36331", + "accept": false, + "reason": "Checkpointing/FSDP tensor-size mismatch and CustomTrainer signature mismatch are unrelated." + }, + { + "left": "issue:43596", + "right": "issue:45161", + "accept": false, + "reason": "ZeRO-3 Bert init crash and GPT-OSS TP failure are unrelated." + }, + { + "left": "issue:43716", + "right": "issue:45507", + "accept": false, + "reason": "Different models and symptoms: dtype mismatch in image preprocessing vs invalid method call." + }, + { + "left": "issue:39290", + "right": "issue:45081", + "accept": false, + "reason": "Gemma3/vLLM config attribute error and Mistral tokenizer regex patch crash are unrelated." + }, + { + "left": "issue:45823", + "right": "issue:45874", + "accept": false, + "reason": "Device-mapping mismatch and expensive reverse embedding lookup are different Gemma4 issues." + }, + { + "left": "issue:43425", + "right": "issue:44292", + "accept": false, + "reason": "Torch version incompatibility and Qwen NVFP4 runtime failure are unrelated." + }, + { + "left": "issue:43828", + "right": "issue:45685", + "accept": false, + "reason": "Autocast dtype mismatch and MPS histogram limitation are different bugs." + }, + { + "left": "issue:44918", + "right": "issue:45685", + "accept": false, + "reason": "TRL embedding unpacking failure and MPS histogram limitation are unrelated." + }, + { + "left": "issue:43039", + "right": "issue:43828", + "accept": false, + "reason": "Liger Kernel cross-entropy path and autocast dtype mismatch are different failures." + }, + { + "left": "issue:30277", + "right": "issue:36331", + "accept": false, + "reason": "DeepSpeed collective mismatch and compute_loss signature mismatch are unrelated." + }, + { + "left": "issue:45237", + "right": "issue:46015", + "accept": false, + "reason": "AMD GPU runtime failure and outdated RAG docs are not the same issue." + }, + { + "left": "issue:34928", + "right": "issue:36010", + "accept": false, + "reason": "FSDP activation-checkpointing bug and GenerationMixin import error are unrelated." + }, + { + "left": "issue:43039", + "right": "issue:44805", + "accept": false, + "reason": "Liger Kernel cross-entropy path and mask-shape IndexError do not match." + }, + { + "left": "issue:41762", + "right": "issue:43596", + "accept": true, + "reason": "Same ZeRO-3 empty-tensor crash pattern: index 0 out of bounds while initializing/loading models." + }, + { + "left": "issue:39290", + "right": "issue:41720", + "accept": false, + "reason": "Gemma3 sliding_window_pattern error and Qwen3 auto-device-map CUDA assert are unrelated." + }, + { + "left": "issue:43901", + "right": "issue:44512", + "accept": false, + "reason": "Different docs regressions: return_all_scores vs removed transformers run command." + }, + { + "left": "issue:45237", + "right": "issue:45901", + "accept": false, + "reason": "GPT-OSS AMD GPU runtime failure and table QA crash are unrelated." + }, + { + "left": "issue:44841", + "right": "issue:45823", + "accept": false, + "reason": "Processor failure for Voxtral and Gemma4 device-mapping mismatch are unrelated." + }, + { + "left": "issue:43039", + "right": "issue:44560", + "accept": false, + "reason": "Liger Kernel cross-entropy issue and Qwen3-vl StopIteration are unrelated." + }, + { + "left": "issue:43975", + "right": "issue:46015", + "accept": false, + "reason": "Detokenization bug and RAG docs cleanup are unrelated." + }, + { + "left": "issue:45812", + "right": "issue:45920", + "accept": true, + "reason": "Same AutoTokenizer v5 regression producing wrong token IDs; 45920 is the broader multi-model report and 45812 is a narrower Granite-only repro." + }, + { + "left": "issue:44863", + "right": "issue:46015", + "accept": false, + "reason": "NemotronH checkpoint loading failure and RAG docs issue are unrelated." + }, + { + "left": "issue:43866", + "right": "issue:44863", + "accept": false, + "reason": "Checkpoint corruption and checkpoint loading implementation failure are different problems." + }, + { + "left": "issue:44292", + "right": "issue:46015", + "accept": false, + "reason": "Qwen NVFP4 runtime failure and outdated RAG docs are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded and conservative overall. The three accepted duplicate edges are plausible same-bug pairs, and the rejected edges avoid overstating similarity across clearly different failures or docs-only issues. No mergeability problems apply here since these are issue pairs, not PR pairs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 2, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36010", + "issue:39186", + "issue:39290", + "issue:40990", + "issue:41093", + "issue:41762", + "issue:43054", + "issue:43296", + "issue:43366", + "issue:43404", + "issue:43425", + "issue:43531", + "issue:43541", + "issue:43572", + "issue:43596", + "issue:43638", + "issue:43645", + "issue:43716", + "issue:43792", + "issue:43828", + "issue:43854", + "issue:43866", + "issue:43975", + "issue:43994", + "issue:44291", + "issue:44292", + "issue:44387", + "issue:44589", + "issue:44841", + "issue:44918", + "issue:44960", + "issue:45005", + "issue:45020", + "issue:45070", + "issue:45084", + "issue:45161", + "issue:45362", + "issue:45399", + "issue:45464", + "issue:45542", + "issue:45632", + "issue:45685", + "issue:45698", + "issue:45759", + "issue:45800", + "issue:45823", + "issue:45901", + "issue:45902" + ], + "soft_pairs": [ + "issue:39290|issue:43531", + "issue:43854|issue:43866", + "issue:43792|issue:45901", + "issue:41093|issue:43638", + "issue:43425|issue:45070", + "issue:43596|issue:45800", + "issue:43975|issue:45901", + "issue:43792|issue:45070", + "issue:45362|issue:45464", + "issue:44292|issue:45901", + "issue:39290|issue:45823", + "issue:45464|issue:45685", + "issue:43404|issue:43866", + "issue:43541|issue:45685", + "issue:43541|issue:43828", + "issue:44841|issue:45084", + "issue:36010|issue:39290", + "issue:45800|issue:45823", + "issue:41093|issue:41762", + "issue:43296|issue:43366", + "issue:43572|issue:45070", + "issue:43541|issue:45161", + "issue:44387|issue:45005", + "issue:43828|issue:45464", + "issue:44291|issue:45070", + "issue:43366|issue:45464", + "issue:45020|issue:45800", + "issue:43531|issue:45070", + "issue:43541|issue:44589", + "issue:41093|issue:43596", + "issue:43054|issue:43994", + "issue:45759|issue:45902", + "issue:45542|issue:45800", + "issue:39186|issue:44918", + "issue:43716|issue:44918", + "issue:40990|issue:44960", + "issue:45632|issue:45698", + "issue:43645|issue:45399", + "issue:43404|issue:45005" + ], + "prepared_review_unit_hash": "b0d0371cfe32d5bb7f87311ffb0714fc46cf47564eeeab639dbe5deb9fb7f59b", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 39, + "serialized_chars": 39129, + "estimated_input_tokens": 9783, + "estimated_eval_tokens": 19822 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: many items are unrelated model-specific regressions, backend incompatibilities, or API edge cases. Only two soft pairs look like plausible duplicates: SigLIP2 inference/quality reports and `trust_remote_code` custom-module resolution problems.", + "confidence": 0.89, + "canonical_issue_reason": "No single canonical issue for the whole cluster; the items are largely unrelated, so only a couple of pairwise duplicates stand out.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45632 is the best representative issue here because it is a precise, actionable report about custom-module cache/path collision and has a close matching companion (issue:45698).", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:39290", + "right": "issue:43531", + "accept": false, + "reason": "Both mention `sliding_window`, but they affect different model families and failure modes; not clearly the same bug." + }, + { + "left": "issue:43854", + "right": "issue:43866", + "accept": false, + "reason": "Both are load-time failures, but one is a unit-test load issue and the other is a corrupted checkpoint report; different root causes." + }, + { + "left": "issue:43792", + "right": "issue:45901", + "accept": false, + "reason": "Unrelated models and subsystems: Whisper loading vs table-question-answering runtime crash." + }, + { + "left": "issue:41093", + "right": "issue:43638", + "accept": false, + "reason": "Both are index/shape errors, but one is a mask-length mismatch and the other is a ZeRO-3 BERT init failure." + }, + { + "left": "issue:43425", + "right": "issue:45070", + "accept": false, + "reason": "Both are version/regression complaints, but they target different incompatibilities and different code paths." + }, + { + "left": "issue:43596", + "right": "issue:45800", + "accept": false, + "reason": "Different failures: ZeRO-3 BERT loading vs a specific torch/transformers version incompatibility." + }, + { + "left": "issue:43975", + "right": "issue:45901", + "accept": false, + "reason": "Different functionality entirely: detokenization vs table QA task crashes." + }, + { + "left": "issue:43792", + "right": "issue:45070", + "accept": false, + "reason": "Whisper runtime failure is unrelated to the PretrainedConfig/pydantic regression." + }, + { + "left": "issue:45362", + "right": "issue:45464", + "accept": false, + "reason": "Both involve Qwen3.5 chat, but one is a transformers chat crash and the other is a streaming chat/completions API failure; too different to merge." + }, + { + "left": "issue:44292", + "right": "issue:45901", + "accept": false, + "reason": "Different models and symptoms; NVFP4 loading failure is not the same as table QA crashing." + }, + { + "left": "issue:39290", + "right": "issue:45823", + "accept": false, + "reason": "Both are model-specific regressions, but Gemma3 sliding-window config and Gemma4 device mismatch are distinct bugs." + }, + { + "left": "issue:45464", + "right": "issue:45685", + "accept": false, + "reason": "Qwen3.5 streaming API failure and MPS histogram-not-implemented error are unrelated." + }, + { + "left": "issue:43404", + "right": "issue:43866", + "accept": false, + "reason": "Mistral3 tied-weight bug and Ovis2 checkpoint corruption are different problems." + }, + { + "left": "issue:43541", + "right": "issue:45685", + "accept": false, + "reason": "Grouped_mm tracing failure and an MPS integer histogram limitation are different code paths." + }, + { + "left": "issue:43541", + "right": "issue:43828", + "accept": false, + "reason": "Both involve numeric/runtime issues, but grouped_mm tracing and autocast dtype mismatch are not the same bug." + }, + { + "left": "issue:44841", + "right": "issue:45084", + "accept": false, + "reason": "Processor failure for Voxtral and template-node compilation errors are unrelated." + }, + { + "left": "issue:36010", + "right": "issue:39290", + "accept": false, + "reason": "ImportError for `GenerationMixin` and Gemma3 sliding-window config are unrelated regressions." + }, + { + "left": "issue:45800", + "right": "issue:45823", + "accept": false, + "reason": "A torch/transformers version incompatibility is unrelated to a Gemma4 device-map forward mismatch." + }, + { + "left": "issue:41093", + "right": "issue:41762", + "accept": false, + "reason": "Both mention out-of-bounds/indexing, but one is a mask shape mismatch and the other is a ZeRO-3 load-time empty-tensor issue." + }, + { + "left": "issue:43296", + "right": "issue:43366", + "accept": false, + "reason": "PaddleOCR-VL loading in vLLM and GGUF gpt-oss support are different feature gaps." + }, + { + "left": "issue:43572", + "right": "issue:45070", + "accept": false, + "reason": "StableLmConfig `pad_token_idx` regression and PretrainedConfig pydantic field breakage are different configuration bugs." + }, + { + "left": "issue:43541", + "right": "issue:45161", + "accept": false, + "reason": "Both involve MoE/GPT-OSS-adjacent topics, but grouped_mm tracing and tensor-parallel support are not the same underlying issue." + }, + { + "left": "issue:44387", + "right": "issue:45005", + "accept": false, + "reason": "Int4 memory/OOM regression and tied-weights translation-model regression are unrelated." + }, + { + "left": "issue:43828", + "right": "issue:45464", + "accept": false, + "reason": "Autocast dtype mismatch in Phi-tiny-MoE is unrelated to Qwen3.5 streaming API failure." + }, + { + "left": "issue:44291", + "right": "issue:45070", + "accept": false, + "reason": "Both are v5 regressions, but one is `init_empty_weights` argument handling and the other is a pydantic field breakage." + }, + { + "left": "issue:43366", + "right": "issue:45464", + "accept": false, + "reason": "GGUF gpt-oss architecture support and Qwen3.5 streaming inference are unrelated." + }, + { + "left": "issue:45020", + "right": "issue:45800", + "accept": false, + "reason": "Remote-code model breakage and torch/transformers version incompatibility are different root causes." + }, + { + "left": "issue:43531", + "right": "issue:45070", + "accept": false, + "reason": "Sliding-window behavior on Qwen3-MoE is unrelated to the PretrainedConfig pydantic regression." + }, + { + "left": "issue:43541", + "right": "issue:44589", + "accept": false, + "reason": "Grouped_mm tracing failure and missing Float8 storage support are distinct runtime issues." + }, + { + "left": "issue:41093", + "right": "issue:43596", + "accept": false, + "reason": "Both are index-related, but they arise from different workflows and failure points." + }, + { + "left": "issue:43054", + "right": "issue:43994", + "accept": true, + "reason": "Both report SigLIP2 behaving incorrectly at inference/loading time; they likely stem from the same model implementation bug." + }, + { + "left": "issue:45759", + "right": "issue:45902", + "accept": false, + "reason": "Multimodal config unwrapping and rotary-embedding uninitialized-memory issues are different bugs." + }, + { + "left": "issue:45542", + "right": "issue:45800", + "accept": false, + "reason": "TensorBoard-without-TensorFlow backend error is unrelated to torch/transformers version incompatibility." + }, + { + "left": "issue:39186", + "right": "issue:44918", + "accept": false, + "reason": "FSDP weight-shape failure and Qwen3.5 embedding unpacking in TRL are different problems." + }, + { + "left": "issue:43716", + "right": "issue:44918", + "accept": false, + "reason": "Mistral3 image-preprocessor dtype mismatch and Qwen3.5 SFT embedding unpacking are unrelated." + }, + { + "left": "issue:40990", + "right": "issue:44960", + "accept": false, + "reason": "High perplexity on gpt-oss-20b and a GLM5 issue are not the same bug." + }, + { + "left": "issue:45632", + "right": "issue:45698", + "accept": true, + "reason": "Both describe `trust_remote_code`/custom-module resolution loading the wrong local module; same cache/path-selection bug." + }, + { + "left": "issue:43645", + "right": "issue:45399", + "accept": false, + "reason": "Custom-model Jupyter init breakage and flash-attn2 fallback gating are unrelated." + }, + { + "left": "issue:43404", + "right": "issue:45005", + "accept": false, + "reason": "Both concern tied weights, but they affect different model classes and likely different implementations." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the cluster is mostly heterogeneous, and the two accepted soft pairs are the only ones that look plausibly duplicate based on the issue titles. The rejected pairs are phrased conservatively and do not overclaim identity. No mergeability problems apply here." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 3, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36331", + "issue:38175", + "issue:39692", + "issue:41553", + "issue:41628", + "issue:41762", + "issue:42915", + "issue:42947", + "issue:43054", + "issue:43493", + "issue:43643", + "issue:43644", + "issue:43782", + "issue:43828", + "issue:43856", + "issue:43866", + "issue:43872", + "issue:43873", + "issue:43881", + "issue:43883", + "issue:43950", + "issue:43975", + "issue:44292", + "issue:44360", + "issue:44387", + "issue:44403", + "issue:44451", + "issue:44488", + "issue:44492", + "issue:44512", + "issue:44530", + "issue:44534", + "issue:44589", + "issue:44863", + "issue:44910", + "issue:44918", + "issue:44928", + "issue:44960", + "issue:45005", + "issue:45020", + "issue:45237", + "issue:45399", + "issue:45507", + "issue:45663", + "issue:45701", + "issue:45800", + "issue:45859", + "issue:45902" + ], + "soft_pairs": [ + "issue:42915|issue:45399", + "issue:44530|issue:45005", + "issue:43873|issue:45005", + "issue:44863|issue:45005", + "issue:44360|issue:44512", + "issue:44918|issue:45507", + "issue:44492|issue:44512", + "issue:43975|issue:44292", + "issue:44292|issue:45507", + "issue:43950|issue:44534", + "issue:43644|issue:43950", + "issue:39692|issue:43054", + "issue:43828|issue:44928", + "issue:36331|issue:41762", + "issue:41628|issue:45800", + "issue:43950|issue:45902", + "issue:43872|issue:44589", + "issue:43866|issue:44403", + "issue:43054|issue:45701", + "issue:41553|issue:43883", + "issue:38175|issue:43054", + "issue:44910|issue:45859", + "issue:45663|issue:45902", + "issue:41553|issue:43881", + "issue:42947|issue:44387", + "issue:43054|issue:43493", + "issue:44403|issue:44451", + "issue:43975|issue:45237", + "issue:43643|issue:45020", + "issue:44403|issue:44488", + "issue:42947|issue:43856", + "issue:41762|issue:42915", + "issue:43881|issue:43883", + "issue:43782|issue:44960" + ], + "prepared_review_unit_hash": "fe6e7d225e607b85d1d877238cfb3a1ee69fc17f49b91c645b66b1c7df3cbdde", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 34, + "serialized_chars": 37508, + "estimated_input_tokens": 9377, + "estimated_eval_tokens": 19010 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous, but there is a clear duplicate pocket around the Transformers 5.x non-persistent buffer regression. Most other pairs are different model-specific or API-specific bugs and should stay separate.", + "confidence": 0.84, + "canonical_issue_reason": "issue:43950 is the clearest, broadest statement of the shared regression: non-persistent buffers are corrupted during `from_pretrained()` in Transformers 5.x. It also naturally subsumes the later specific symptom in issue:45902 and the near-duplicate wording in issue:44534.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43950 best represents the duplicate set because it names the root regression directly and generalizes across the specific downstream symptoms reported later.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42915", + "right": "issue:45399", + "accept": false, + "reason": "Different failures: Qwen3Moe FP8 loading vs FlashAttention fallback gating." + }, + { + "left": "issue:44530", + "right": "issue:45005", + "accept": false, + "reason": "Qwen3.5 packed-sequence/cache crash is not the same bug as the tied-weights v5 regression." + }, + { + "left": "issue:43873", + "right": "issue:45005", + "accept": false, + "reason": "Quantization/offloading behavior is unrelated to tied-weights handling." + }, + { + "left": "issue:44863", + "right": "issue:45005", + "accept": false, + "reason": "NemotronH checkpoint loading failure is a different code path from tied-weights issues." + }, + { + "left": "issue:44360", + "right": "issue:44512", + "accept": false, + "reason": "DSA indexer/ReLU discussion is unrelated to a docs typo about the run command." + }, + { + "left": "issue:44918", + "right": "issue:45507", + "accept": false, + "reason": "TRL embedding unpacking and GraniteMoE invalid-method calls are different model/trainer bugs." + }, + { + "left": "issue:44492", + "right": "issue:44512", + "accept": false, + "reason": "Cache-strategy typo is not the same as removed-run-command documentation drift." + }, + { + "left": "issue:43975", + "right": "issue:44292", + "accept": false, + "reason": "DeepSeek detokenization regression and Qwen3 NVFP4 load failure are different bugs." + }, + { + "left": "issue:44292", + "right": "issue:45507", + "accept": false, + "reason": "Qwen3 NVFP4 load failure is unrelated to GraniteMoEHybrid's invalid method call." + }, + { + "left": "issue:43950", + "right": "issue:44534", + "accept": true, + "reason": "Same underlying non-persistent-buffer corruption regression in Transformers 5.x, phrased with different surface symptoms." + }, + { + "left": "issue:43644", + "right": "issue:43950", + "accept": false, + "reason": "`trust_remote_code` missing fields is a different regression than buffer corruption during load." + }, + { + "left": "issue:39692", + "right": "issue:43054", + "accept": false, + "reason": "Broken docs example and poor SigLIP2 text embeddings are different problems." + }, + { + "left": "issue:43828", + "right": "issue:44928", + "accept": false, + "reason": "Autocast dtype mismatch is a different failure from Qwen3.5 position-id/SDPA instability." + }, + { + "left": "issue:36331", + "right": "issue:41762", + "accept": false, + "reason": "Trainer API kwarg breakage is unrelated to Gemma3 ZeRO-3 loading." + }, + { + "left": "issue:41628", + "right": "issue:45800", + "accept": false, + "reason": "Importing `AutoImageProcessor` and a torch/transformers version incompatibility are not the same concrete bug." + }, + { + "left": "issue:43950", + "right": "issue:45902", + "accept": true, + "reason": "Issue:45902 is a concrete symptom of the same non-persistent-buffer/materialization corruption regression described in issue:43950." + }, + { + "left": "issue:43872", + "right": "issue:44589", + "accept": false, + "reason": "Bitsandbytes constructor mismatch and missing Float8 storage are separate quantization issues." + }, + { + "left": "issue:43866", + "right": "issue:44403", + "accept": false, + "reason": "A corrupted checkpoint and generic loading noise are not the same underlying bug." + }, + { + "left": "issue:43054", + "right": "issue:45701", + "accept": false, + "reason": "SigLIP2 embedding quality and version-dependent tokenization changes are different concerns." + }, + { + "left": "issue:41553", + "right": "issue:43883", + "accept": false, + "reason": "Bad AutoTokenizer error handling for Voxtral is unrelated to Molmo's missing tied-weights attribute." + }, + { + "left": "issue:38175", + "right": "issue:43054", + "accept": false, + "reason": "Both involve SigLIP2, but zero probabilities and lower text-embedding quality are not clearly the same concrete bug." + }, + { + "left": "issue:44910", + "right": "issue:45859", + "accept": false, + "reason": "FlashAttention packed-sequence crash on Qwen3.5 is distinct from CPU-offload incompatibility in rotary embedding." + }, + { + "left": "issue:45663", + "right": "issue:45902", + "accept": false, + "reason": "Gemma4 FSDP2 KeyError and Qwen3.5 buffer materialization corruption are unrelated." + }, + { + "left": "issue:41553", + "right": "issue:43881", + "accept": false, + "reason": "Voxtral tokenizer error messaging and glm-4v-9b load failure are different bugs." + }, + { + "left": "issue:42947", + "right": "issue:44387", + "accept": false, + "reason": "LoRA checkpointing ineffectiveness is not the same as int4 quantization memory growth/OOM." + }, + { + "left": "issue:43054", + "right": "issue:43493", + "accept": true, + "reason": "Both point at the same SigLIP2 HF-vs-JAX implementation discrepancy that degrades text-side behavior." + }, + { + "left": "issue:44403", + "right": "issue:44451", + "accept": false, + "reason": "Generic loading noise and inability to load a specific model are not the same defect." + }, + { + "left": "issue:43975", + "right": "issue:45237", + "accept": false, + "reason": "Detokenization regression and AMD GPU execution failure are unrelated." + }, + { + "left": "issue:43643", + "right": "issue:45020", + "accept": false, + "reason": "Missing fields from `AutoConfig` with `trust_remote_code` is only one possible symptom inside a broader remote-code complaint, not a clearly identical bug." + }, + { + "left": "issue:44403", + "right": "issue:44488", + "accept": false, + "reason": "These are different model-loading reports, not the same bug." + }, + { + "left": "issue:42947", + "right": "issue:43856", + "accept": false, + "reason": "PEFT gradient-checkpointing behavior and Qwen3 MoE memory usage are different training issues." + }, + { + "left": "issue:41762", + "right": "issue:42915", + "accept": false, + "reason": "Gemma3 ZeRO-3 load failure and Qwen3Moe FP8 failure are unrelated." + }, + { + "left": "issue:43881", + "right": "issue:43883", + "accept": false, + "reason": "Different models and different failure modes: glm-4v-9b load error vs Molmo tied-weights attribute error." + }, + { + "left": "issue:43782", + "right": "issue:44960", + "accept": false, + "reason": "Qwen3VL weight_only load failure and GLM5 are unrelated model-specific issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative overall. The only accepted duplicate pockets are the clearly related SigLIP2 pair and the Transformers v5 non-persistent-buffer regression cluster, which are both supported by the issue titles. The rest of the soft-edge rejections are appropriately cautious for a heterogeneous cluster." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 4, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:24643", + "issue:30064", + "issue:36331", + "issue:41093", + "issue:41553", + "issue:42491", + "issue:42915", + "issue:42947", + "issue:43257", + "issue:43366", + "issue:43404", + "issue:43638", + "issue:43742", + "issue:43792", + "issue:43824", + "issue:43827", + "issue:43828", + "issue:43854", + "issue:43866", + "issue:43872", + "issue:43940", + "issue:43950", + "issue:44220", + "issue:44291", + "issue:44368", + "issue:44479", + "issue:44488", + "issue:44509", + "issue:44530", + "issue:44560", + "issue:44661", + "issue:44805", + "issue:44863", + "issue:44928", + "issue:44991", + "issue:45020", + "issue:45081", + "issue:45305", + "issue:45313", + "issue:45325", + "issue:45356", + "issue:45399", + "issue:45538", + "issue:45588", + "issue:45685", + "issue:45823", + "issue:45902", + "issue:45923" + ], + "soft_pairs": [ + "issue:45685|issue:45823", + "issue:43824|issue:43872", + "issue:44991|issue:45399", + "issue:42491|issue:44368", + "issue:45020|issue:45823", + "issue:44661|issue:45020", + "issue:43828|issue:45823", + "issue:45081|issue:45399", + "issue:45020|issue:45356", + "issue:43742|issue:45399", + "issue:43404|issue:43950", + "issue:43827|issue:44509", + "issue:43638|issue:45823", + "issue:42915|issue:45020", + "issue:43257|issue:43866", + "issue:43872|issue:44291", + "issue:43792|issue:44220", + "issue:42915|issue:43872", + "issue:41553|issue:44991", + "issue:36331|issue:41093", + "issue:43257|issue:45305", + "issue:42947|issue:45923", + "issue:43940|issue:45313", + "issue:43854|issue:44863", + "issue:44928|issue:45588", + "issue:43872|issue:45538", + "issue:41093|issue:44805", + "issue:41553|issue:44488", + "issue:44479|issue:44560", + "issue:44530|issue:44863", + "issue:24643|issue:30064", + "issue:45325|issue:45902", + "issue:43366|issue:43828" + ], + "prepared_review_unit_hash": "be43def021e578871f06c3fb7c8ac526b41bbc41750e98122562524d7c10ef52", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 38069, + "estimated_input_tokens": 9518, + "estimated_eval_tokens": 19292 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues; only a few soft pairs look like true duplicates, mainly exact-regression matches in tokenizer/docs/loading paths. No PRs are present.", + "confidence": 0.67, + "canonical_issue_reason": "issue:44291 is the clearest, most explicit reproduction of the shared `_is_hf_initialized` loading regression, and it lines up directly with the bitsandbytes-related duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44291 is the strongest issue anchor in this set because it describes a concrete, version-scoped code-path failure with a clear fix surface.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45685", + "right": "issue:45823", + "accept": false, + "reason": "Different failures: MPS integer histogram support vs device placement mismatch in Gemma4 PLE." + }, + { + "left": "issue:43824", + "right": "issue:43872", + "accept": false, + "reason": "Both are import/load failures, but they point to different model families and different failure modes." + }, + { + "left": "issue:44991", + "right": "issue:45399", + "accept": false, + "reason": "Tokenizer loading regression vs flash-attention fallback gating; unrelated code paths." + }, + { + "left": "issue:42491", + "right": "issue:44368", + "accept": false, + "reason": "Both mention Qwen/LoRA warnings, but one is a hard loading incompatibility and the other is a config warning." + }, + { + "left": "issue:45020", + "right": "issue:45823", + "accept": false, + "reason": "Remote-code regression and device-map mismatch are different bugs." + }, + { + "left": "issue:44661", + "right": "issue:45020", + "accept": false, + "reason": "Different issues: tokenizer mapping helper failure vs broad remote_code breakage." + }, + { + "left": "issue:43828", + "right": "issue:45823", + "accept": false, + "reason": "Autocast dtype mismatch is not the same as a device-map forward mismatch." + }, + { + "left": "issue:45081", + "right": "issue:45399", + "accept": false, + "reason": "Tokenizer regex crash vs flash-attn availability checks; not the same bug." + }, + { + "left": "issue:45020", + "right": "issue:45356", + "accept": false, + "reason": "Broad remote_code breakage and Kimi tokenizer regression are distinct." + }, + { + "left": "issue:43742", + "right": "issue:45399", + "accept": false, + "reason": "MobileLLM loading/key error and flash-attn fallback gating are unrelated." + }, + { + "left": "issue:43404", + "right": "issue:43950", + "accept": false, + "reason": "Weight tying bug and non-persistent buffer corruption are different loading regressions." + }, + { + "left": "issue:43827", + "right": "issue:44509", + "accept": true, + "reason": "Both are the same docs cleanup: stale v5 pipeline-task references that were removed." + }, + { + "left": "issue:43638", + "right": "issue:45823", + "accept": false, + "reason": "Zero-3 index error with a non-pretrained Bert model is unrelated to Gemma4 device placement." + }, + { + "left": "issue:42915", + "right": "issue:45020", + "accept": false, + "reason": "Qwen3 MoE weight conversion under deepspeed is not the same as general remote_code breakage." + }, + { + "left": "issue:43257", + "right": "issue:43866", + "accept": false, + "reason": "Weight loading under accelerate/deepspeed and a corrupted checkpoint are different problems." + }, + { + "left": "issue:43872", + "right": "issue:44291", + "accept": true, + "reason": "Same underlying `_is_hf_initialized`/tensor-construction TypeError during model loading; these can be fixed together." + }, + { + "left": "issue:43792", + "right": "issue:44220", + "accept": true, + "reason": "Both point to the Whisper feature-extraction path failing in the same audio preprocessing code." + }, + { + "left": "issue:42915", + "right": "issue:43872", + "accept": false, + "reason": "Qwen3 MoE weight conversion and bitsandbytes constructor incompatibility are unrelated." + }, + { + "left": "issue:41553", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer-loading complaints, but they affect different models and likely different causes." + }, + { + "left": "issue:36331", + "right": "issue:41093", + "accept": false, + "reason": "Trainer API kwarg mismatch and tensor mask shape mismatch are unrelated." + }, + { + "left": "issue:43257", + "right": "issue:45305", + "accept": false, + "reason": "DeepSpeed weight-loading failure and GAS gradient averaging regression are different code paths." + }, + { + "left": "issue:42947", + "right": "issue:45923", + "accept": false, + "reason": "Gradient checkpointing issue in PEFT LoRA is not the same as a missing supports_gradient_checkpointing flag on a remote-code model." + }, + { + "left": "issue:43940", + "right": "issue:45313", + "accept": false, + "reason": "Both involve Qwen + ZeRO-3 loading, but the model targets and failure descriptions are not concrete duplicates." + }, + { + "left": "issue:43854", + "right": "issue:44863", + "accept": false, + "reason": "Different model-loading failures with no clear shared code path." + }, + { + "left": "issue:44928", + "right": "issue:45588", + "accept": false, + "reason": "RLHF NaN/SDPA fallback issue is unrelated to a flash_attention.py crash on sink-less models." + }, + { + "left": "issue:43872", + "right": "issue:45538", + "accept": false, + "reason": "bitsandbytes constructor compatibility and CLIPTokenizer max-length behavior are unrelated." + }, + { + "left": "issue:41093", + "right": "issue:44805", + "accept": true, + "reason": "Same mask/index shape mismatch error; the titles describe the same underlying IndexError." + }, + { + "left": "issue:41553", + "right": "issue:44488", + "accept": false, + "reason": "Different tokenizer-loading failures for different models; not the same bug." + }, + { + "left": "issue:44479", + "right": "issue:44560", + "accept": false, + "reason": "Both are video-related Qwen regressions, but the concrete failures are different enough to keep separate." + }, + { + "left": "issue:44530", + "right": "issue:44863", + "accept": false, + "reason": "PagedAttentionCache linear_attention crash and NemotronH checkpoint loading failure are unrelated." + }, + { + "left": "issue:24643", + "right": "issue:30064", + "accept": false, + "reason": "Training with DeepSpeed and void segmentation map processing are unrelated issues." + }, + { + "left": "issue:45325", + "right": "issue:45902", + "accept": false, + "reason": "RoPE position-id scaling bug and uninitialized-memory materialization bug are different." + }, + { + "left": "issue:43366", + "right": "issue:43828", + "accept": false, + "reason": "GGUF architecture support and dtype mismatch under autocast are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is grounded in the packet: the cited issue titles support the main anchors, the summary stays appropriately cautious, and the soft-edge rejections are conservative. The accepted pairs are all at least plausibly same-bug duplicates from the text, and there are no PR pairs to evaluate." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 5, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36010", + "issue:38175", + "issue:39692", + "issue:41720", + "issue:42491", + "issue:42617", + "issue:42915", + "issue:43317", + "issue:43366", + "issue:43531", + "issue:43550", + "issue:43596", + "issue:43632", + "issue:43638", + "issue:43644", + "issue:43645", + "issue:43646", + "issue:43708", + "issue:43720", + "issue:43824", + "issue:43950", + "issue:43957", + "issue:43994", + "issue:44075", + "issue:44155", + "issue:44451", + "issue:44488", + "issue:44534", + "issue:44560", + "issue:44589", + "issue:44661", + "issue:44756", + "issue:44805", + "issue:44877", + "issue:44910", + "issue:44918", + "issue:44960", + "issue:44977", + "issue:44991", + "issue:45030", + "issue:45276", + "issue:45313", + "issue:45357", + "issue:45584", + "issue:45663", + "issue:45685", + "issue:45823", + "issue:45834" + ], + "soft_pairs": [ + "issue:45663|issue:45823", + "issue:44155|issue:45584", + "issue:43366|issue:43531", + "issue:43950|issue:45834", + "issue:43824|issue:43957", + "issue:44560|issue:45685", + "issue:43550|issue:44910", + "issue:43645|issue:43646", + "issue:42915|issue:43957", + "issue:43366|issue:44589", + "issue:42617|issue:43366", + "issue:44560|issue:44918", + "issue:36010|issue:42915", + "issue:44661|issue:45823", + "issue:44560|issue:44805", + "issue:43632|issue:45834", + "issue:38175|issue:43994", + "issue:43638|issue:44661", + "issue:43596|issue:44661", + "issue:44661|issue:44805", + "issue:44877|issue:45030", + "issue:43317|issue:44756", + "issue:43644|issue:44534", + "issue:38175|issue:39692", + "issue:42491|issue:43720", + "issue:41720|issue:42915", + "issue:44960|issue:44977", + "issue:44451|issue:44488", + "issue:45313|issue:45357", + "issue:42915|issue:44756", + "issue:42491|issue:45276", + "issue:43708|issue:44075", + "issue:44488|issue:44991" + ], + "prepared_review_unit_hash": "2174bc32ae48c0c2a60dadbfb229a7393e36f267246c8e6f95e3e6d53c916ec0", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 37489, + "estimated_input_tokens": 9373, + "estimated_eval_tokens": 19002 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a mixed cluster with several small duplicate islands rather than one unified bug. The clearest duplicates are around Transformers v5 regressions (non-persistent buffers, custom model init, ZeRO-3/BERT failures) and a SigLIP2 output issue; most other pairs are unrelated model-specific bugs.", + "confidence": 0.67, + "canonical_issue_reason": "No single cluster-wide canonical issue fits all items because the set splits into multiple unrelated bugs. If a representative anchor is needed, 43644 is the cleanest duplicate pair anchor for the non-persistent-buffer regression.", + "canonical_pr_reason": null, + "best_issue_reason": "43644 is the best single issue anchor: it is a crisp, well-scoped Transformers v5 regression and is duplicated almost verbatim by 44534.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45663", + "right": "issue:45823", + "accept": false, + "reason": "Both are Gemma4 issues, but one is an FSDP2 shared_kv_states bug and the other is a device_map=\"auto\" device mismatch; different code paths." + }, + { + "left": "issue:44155", + "right": "issue:45584", + "accept": false, + "reason": "AudioFlamingo3 batched inference leak and Whisper empty-transcription handling are unrelated bugs." + }, + { + "left": "issue:43366", + "right": "issue:43531", + "accept": false, + "reason": "GGUF gpt-oss support and Qwen3-MoE sliding_window behavior are different features/problems." + }, + { + "left": "issue:43950", + "right": "issue:45834", + "accept": false, + "reason": "Non-persistent buffer corruption and Kosmos2.5 long-ocr index errors are unrelated." + }, + { + "left": "issue:43824", + "right": "issue:43957", + "accept": false, + "reason": "One is a missing Qwen2_5_VL export/import, the other is meta-device loading breakage; not the same bug." + }, + { + "left": "issue:44560", + "right": "issue:45685", + "accept": false, + "reason": "Qwen3-VL video StopIteration and MPS histogram support for Int are unrelated." + }, + { + "left": "issue:43550", + "right": "issue:44910", + "accept": false, + "reason": "Different attention-backend failures on different models; too broad to be the same concrete bug." + }, + { + "left": "issue:43645", + "right": "issue:43646", + "accept": true, + "reason": "Same Transformers v5 custom model initialization regression; the notebook mention is just an environment-specific manifestation." + }, + { + "left": "issue:42915", + "right": "issue:43957", + "accept": false, + "reason": "Qwen3-MoE FP8 failure and meta-device loading problems are distinct issues." + }, + { + "left": "issue:43366", + "right": "issue:44589", + "accept": false, + "reason": "GGUF model support and Float8 storage import errors are unrelated." + }, + { + "left": "issue:42617", + "right": "issue:43366", + "accept": false, + "reason": "3d_parallel.py failure and GGUF gpt-oss support are different areas." + }, + { + "left": "issue:44560", + "right": "issue:44918", + "accept": false, + "reason": "Qwen3-VL video StopIteration and Qwen3.5 embedding unpacking with TRL are unrelated." + }, + { + "left": "issue:36010", + "right": "issue:42915", + "accept": false, + "reason": "GenerationMixin import failure and Qwen3-MoE FP8 failure are unrelated." + }, + { + "left": "issue:44661", + "right": "issue:45823", + "accept": false, + "reason": "Tokenizer-mapping model registration bug and Gemma4 PLE device mismatch are unrelated." + }, + { + "left": "issue:44560", + "right": "issue:44805", + "accept": false, + "reason": "Different indexing/sequence bugs in different model paths." + }, + { + "left": "issue:43632", + "right": "issue:45834", + "accept": false, + "reason": "_is_hf_initialized regression and Kosmos2.5 OCR index error are unrelated." + }, + { + "left": "issue:38175", + "right": "issue:43994", + "accept": true, + "reason": "Both report the same SigLIP2 bad-output regression on google/siglip2-base-patch16-224; 43994 is a later re-report of the same model/processor problem." + }, + { + "left": "issue:43638", + "right": "issue:44661", + "accept": false, + "reason": "ZeRO-3 BertModel index error and add-new-model-like tokenizer mapping failure are different bugs." + }, + { + "left": "issue:43596", + "right": "issue:44661", + "accept": false, + "reason": "ZeRO-3 BertModel index error and tokenizer-mapping registration are unrelated." + }, + { + "left": "issue:44661", + "right": "issue:44805", + "accept": false, + "reason": "Different model-registration vs tensor-mask shape error." + }, + { + "left": "issue:44877", + "right": "issue:45030", + "accept": false, + "reason": "Both involve config validation, but they affect different model families and appear to be separate breakages." + }, + { + "left": "issue:43317", + "right": "issue:44756", + "accept": false, + "reason": "device_map/offload load failure and Strix Halo mmap OOM are not the same concrete bug." + }, + { + "left": "issue:43644", + "right": "issue:44534", + "accept": true, + "reason": "Verbatim duplicate regression: Transformers v5 fills non-persistent buffers with junk." + }, + { + "left": "issue:38175", + "right": "issue:39692", + "accept": false, + "reason": "The docs-example issue also includes quantization/doc errors, so it is not clearly the same concrete bug as the runtime SigLIP2 zero-probability report." + }, + { + "left": "issue:42491", + "right": "issue:43720", + "accept": false, + "reason": "Qwen3_MoE LoRA compatibility on hf5.x and BitNet packed-weight loading are unrelated." + }, + { + "left": "issue:41720", + "right": "issue:42915", + "accept": false, + "reason": "Auto device mapping cudaErrorAssert and Qwen3-MoE FP8 failure are different issues." + }, + { + "left": "issue:44960", + "right": "issue:44977", + "accept": false, + "reason": "GLM5 and Qwen3.5 flash-attention failures are unrelated." + }, + { + "left": "issue:44451", + "right": "issue:44488", + "accept": true, + "reason": "Both are current-version load failures for closely related BERT checkpoints; this looks like the same loader regression." + }, + { + "left": "issue:45313", + "right": "issue:45357", + "accept": false, + "reason": "DeepSpeed ZeRO-3 load failure and incorrect save_pretrained visual encoder keys are different Qwen3.5 bugs." + }, + { + "left": "issue:42915", + "right": "issue:44756", + "accept": false, + "reason": "Qwen3-MoE FP8 failure and Strix Halo mmap OOM are unrelated." + }, + { + "left": "issue:42491", + "right": "issue:45276", + "accept": false, + "reason": "LoRA/hf5.x incompatibility and Gemma4 resize_token_embeddings behavior are different bugs." + }, + { + "left": "issue:43708", + "right": "issue:44075", + "accept": false, + "reason": "Trainer resume/max_steps logic and SGD args not being used are unrelated training issues." + }, + { + "left": "issue:44488", + "right": "issue:44991", + "accept": false, + "reason": "BERT model load failure and tokenizer loading failure for a different checkpoint are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster analysis is grounded in the packet and stays conservative. The accepted duplicate islands are supported by the titles, and the rejected pairs are generally distinguished by different models/code paths or distinct failure modes. The overall summary correctly treats this as a mixed cluster rather than a single unified bug." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 6, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36010", + "issue:39404", + "issue:39692", + "issue:41720", + "issue:42491", + "issue:42947", + "issue:43257", + "issue:43335", + "issue:43381", + "issue:43404", + "issue:43425", + "issue:43454", + "issue:43644", + "issue:43645", + "issue:43854", + "issue:43856", + "issue:43873", + "issue:43931", + "issue:43957", + "issue:43994", + "issue:44155", + "issue:44164", + "issue:44291", + "issue:44292", + "issue:44387", + "issue:44402", + "issue:44488", + "issue:44756", + "issue:44910", + "issue:44912", + "issue:44960", + "issue:45216", + "issue:45276", + "issue:45292", + "issue:45335", + "issue:45362", + "issue:45406", + "issue:45488", + "issue:45588", + "issue:45663", + "issue:45684", + "issue:45698", + "issue:45704", + "issue:45759", + "issue:45812", + "issue:45823", + "issue:45859", + "issue:46050" + ], + "soft_pairs": [ + "issue:45488|issue:45812", + "issue:43644|issue:43645", + "issue:43854|issue:43931", + "issue:39692|issue:43994", + "issue:43257|issue:43854", + "issue:43856|issue:43873", + "issue:42491|issue:43931", + "issue:45362|issue:45406", + "issue:43856|issue:44387", + "issue:44960|issue:46050", + "issue:42491|issue:45292", + "issue:44164|issue:44291", + "issue:44910|issue:45588", + "issue:45276|issue:45335", + "issue:36010|issue:39404", + "issue:43404|issue:43454", + "issue:41720|issue:44155", + "issue:43425|issue:43957", + "issue:39692|issue:44960", + "issue:44402|issue:44488", + "issue:42947|issue:45704", + "issue:43873|issue:44387", + "issue:45663|issue:45759", + "issue:44291|issue:44756", + "issue:45663|issue:45859", + "issue:44155|issue:45823", + "issue:44292|issue:44912", + "issue:44387|issue:44756", + "issue:43335|issue:45663", + "issue:43957|issue:44756", + "issue:42947|issue:43381", + "issue:45276|issue:45292", + "issue:44164|issue:44756", + "issue:43854|issue:45216", + "issue:45684|issue:45698" + ], + "prepared_review_unit_hash": "e89ded4b8eb0eaf4c1fa996ee77a6b982f229f3a21383326832bfd8c7db83423", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 35, + "serialized_chars": 38332, + "estimated_input_tokens": 9583, + "estimated_eval_tokens": 19422 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous issue reports around Transformers regressions. The only clear duplicate-like pair is the resize_token_embeddings regression across closely related Gemma/T5-Gemma variants; the rest look like separate bugs affecting different models or subsystems.", + "confidence": 0.74, + "canonical_issue_reason": "Issue 45276 is the broadest and clearest representative of the only near-duplicate pair, and it subsumes the narrower output_embeddings-only symptom in 45292.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45276 is the best canonical issue candidate because it describes the core resize_token_embeddings regression in a broader form that covers the related embedding-propagation failure.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45488", + "right": "issue:45812", + "accept": false, + "reason": "Both involve tokenizer regressions, but they affect different model families and describe different failure modes; not the same bug." + }, + { + "left": "issue:43644", + "right": "issue:43645", + "accept": false, + "reason": "Both are Transformers 5.0 regressions, but one is buffer initialization and the other is custom-model initialization in notebooks; separate issues." + }, + { + "left": "issue:43854", + "right": "issue:43931", + "accept": false, + "reason": "Both are model-loading problems, but they target different models and symptoms; no clear shared code-path bug." + }, + { + "left": "issue:39692", + "right": "issue:43994", + "accept": false, + "reason": "Same SigLIP2 family, but one is a broken documentation example and the other is incorrect inference results; too different to merge." + }, + { + "left": "issue:43257", + "right": "issue:43854", + "accept": false, + "reason": "Different models and different loading/dispatch paths; no evidence they share the same underlying bug." + }, + { + "left": "issue:43856", + "right": "issue:43873", + "accept": false, + "reason": "Both mention memory/quantization, but one is training memory usage and the other is offloading behavior; not the same defect." + }, + { + "left": "issue:42491", + "right": "issue:43931", + "accept": false, + "reason": "These are distinct issues: LoRA compatibility across versions versus a specific Qwen3-VL weight-shape mismatch." + }, + { + "left": "issue:45362", + "right": "issue:45406", + "accept": false, + "reason": "Different model families and different runtime failures; not a duplicate." + }, + { + "left": "issue:43856", + "right": "issue:44387", + "accept": false, + "reason": "Both are memory-related, but the causes differ (Qwen3 MoE training memory vs int4 quantization reserved-memory/OOM regression)." + }, + { + "left": "issue:44960", + "right": "issue:46050", + "accept": false, + "reason": "Unrelated models and different save/load behavior; no common underlying bug." + }, + { + "left": "issue:42491", + "right": "issue:45292", + "accept": false, + "reason": "Different topics: Qwen3 MoE LoRA version incompatibility versus resize_token_embeddings not propagating to outputs." + }, + { + "left": "issue:44164", + "right": "issue:44291", + "accept": false, + "reason": "Both touch model loading/saving internals, but one is extra_state handling and the other is init_empty_weights argument compatibility; separate bugs." + }, + { + "left": "issue:44910", + "right": "issue:45588", + "accept": false, + "reason": "Both are flash-attention crashes, but the root causes and affected model paths are different." + }, + { + "left": "issue:45276", + "right": "issue:45335", + "accept": true, + "reason": "Both report resize_token_embeddings failing to update tied internal embeddings across closely related model variants, which looks like the same underlying regression." + }, + { + "left": "issue:36010", + "right": "issue:39404", + "accept": false, + "reason": "ImportError for GenerationMixin and Whisper return_language pipeline breakage are unrelated." + }, + { + "left": "issue:43404", + "right": "issue:43454", + "accept": false, + "reason": "Both mention untied lm_head weights, but they are separate model implementations and do not clearly point to one shared bug." + }, + { + "left": "issue:41720", + "right": "issue:44155", + "accept": false, + "reason": "Different models, different inference paths, and different failures; not a duplicate." + }, + { + "left": "issue:43425", + "right": "issue:43957", + "accept": false, + "reason": "Torch version compatibility and meta-device loading are distinct issues." + }, + { + "left": "issue:39692", + "right": "issue:44960", + "accept": false, + "reason": "No meaningful overlap beyond being model-related issues." + }, + { + "left": "issue:44402", + "right": "issue:44488", + "accept": false, + "reason": "These both sound like tokenizer/model loading problems, but the affected models and reported symptoms are too different to confidently treat as the same bug." + }, + { + "left": "issue:42947", + "right": "issue:45704", + "accept": false, + "reason": "Gradient checkpointing with PEFT LoRA is unrelated to the apex RMSNorm memory leak." + }, + { + "left": "issue:43873", + "right": "issue:44387", + "accept": false, + "reason": "Both involve quantization and memory, but they describe different regressions with different triggers." + }, + { + "left": "issue:45663", + "right": "issue:45759", + "accept": false, + "reason": "Gemma-4 FSDP2 shared_kv_states failure and Qwen config unwrapping are unrelated." + }, + { + "left": "issue:44291", + "right": "issue:44756", + "accept": false, + "reason": "init_empty_weights compatibility and mmap/OOM on Strix Halo are unrelated." + }, + { + "left": "issue:45663", + "right": "issue:45859", + "accept": false, + "reason": "Different model families and different execution-path failures." + }, + { + "left": "issue:44155", + "right": "issue:45823", + "accept": false, + "reason": "AudioFlamingo3 batched inference leakage and Gemma4 PLE device mismatch are unrelated." + }, + { + "left": "issue:44292", + "right": "issue:44912", + "accept": false, + "reason": "Both are quantization/loading issues, but they involve different quantization formats and different failure modes." + }, + { + "left": "issue:44387", + "right": "issue:44756", + "accept": false, + "reason": "Both mention OOM, but the causes are different and not mergeable as one bug." + }, + { + "left": "issue:43335", + "right": "issue:45663", + "accept": false, + "reason": "SwitchTransformers sparse-layer config bug and Gemma-4 FSDP2 attention bug are unrelated." + }, + { + "left": "issue:43957", + "right": "issue:44756", + "accept": false, + "reason": "Meta-device loading failures and Strix Halo mmap OOM are different problems." + }, + { + "left": "issue:42947", + "right": "issue:43381", + "accept": false, + "reason": "Both concern gradient checkpointing, but one is ineffective training behavior and the other is eval-mode prohibition." + }, + { + "left": "issue:45276", + "right": "issue:45292", + "accept": true, + "reason": "These are near-direct duplicates: both report resize_token_embeddings failing to update model embeddings, with 45276 being the broader version." + }, + { + "left": "issue:44164", + "right": "issue:44756", + "accept": false, + "reason": "Save/load extra_state handling and mmap-related OOM are unrelated." + }, + { + "left": "issue:43854", + "right": "issue:45216", + "accept": false, + "reason": "Different models and different regression types; not the same underlying bug." + }, + { + "left": "issue:45684", + "right": "issue:45698", + "accept": false, + "reason": "Both involve save/pretrained custom-model workflows, but one is permissions propagation and the other is loading the wrong custom module; separate issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster summary is grounded in the packet and stays conservative on the soft edges. The only accepted duplicate-like set is the resize_token_embeddings regression across closely related Gemma/T5-Gemma issues, which is supported by the titles and similarity scores. The other pairwise rejections do not overclaim a shared root cause." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 7, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36032", + "issue:39404", + "issue:43257", + "issue:43299", + "issue:43381", + "issue:43425", + "issue:43452", + "issue:43596", + "issue:43611", + "issue:43645", + "issue:43646", + "issue:43708", + "issue:43716", + "issue:43828", + "issue:43856", + "issue:43901", + "issue:43906", + "issue:43931", + "issue:43957", + "issue:43994", + "issue:44079", + "issue:44164", + "issue:44265", + "issue:44402", + "issue:44451", + "issue:44479", + "issue:44509", + "issue:44530", + "issue:44589", + "issue:44671", + "issue:44683", + "issue:44756", + "issue:44805", + "issue:44863", + "issue:44877", + "issue:44898", + "issue:44912", + "issue:44918", + "issue:44928", + "issue:44991", + "issue:45084", + "issue:45292", + "issue:45335", + "issue:45588", + "issue:45663", + "issue:45701", + "issue:45759", + "issue:45823" + ], + "soft_pairs": [ + "issue:43381|issue:44928", + "issue:44479|issue:44877", + "issue:45588|issue:45663", + "issue:43646|issue:43708", + "issue:43645|issue:44164", + "issue:43828|issue:43957", + "issue:45292|issue:45335", + "issue:44402|issue:44451", + "issue:43425|issue:43828", + "issue:43257|issue:44863", + "issue:44589|issue:44756", + "issue:39404|issue:45701", + "issue:44683|issue:45823", + "issue:43425|issue:45823", + "issue:43611|issue:43645", + "issue:43425|issue:43716", + "issue:44530|issue:45084", + "issue:43906|issue:44530", + "issue:39404|issue:44912", + "issue:44265|issue:44898", + "issue:44479|issue:44805", + "issue:43994|issue:44079", + "issue:43901|issue:44509", + "issue:43425|issue:44918", + "issue:43299|issue:43931", + "issue:44589|issue:45084", + "issue:44164|issue:45759", + "issue:36032|issue:43452", + "issue:43596|issue:44683", + "issue:44671|issue:44991", + "issue:39404|issue:44671", + "issue:43856|issue:44756" + ], + "prepared_review_unit_hash": "bc2a010f431f82404c2020bf088ea1364a8079a78042798ddaa16e3e77c20832", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 37346, + "estimated_input_tokens": 9337, + "estimated_eval_tokens": 18930 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a loose set of Transformers v5 regression reports around model loading/initialization/tokenizer behavior. Only one soft pair looks like a true duplicate; the rest are different bugs in adjacent areas.", + "confidence": 0.79, + "canonical_issue_reason": "issue:43646 is the broadest representative of the shared v5 model-initialization regression theme, spanning the same general loading path as several nearby reports without being tied to one narrow model variant.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43646 is the best cluster anchor: it is broad, version-wide, and captures the central regression pattern better than the model-specific or tokenizer-specific issues.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43381", + "right": "issue:44928", + "accept": false, + "reason": "Different failures: gradient checkpointing in eval mode vs Qwen3.5 RLHF NaNs from 3D position_ids/SDPA fallback." + }, + { + "left": "issue:44479", + "right": "issue:44877", + "accept": false, + "reason": "Both are Qwen-related, but one is a video-input regression and the other is a strict-config loading issue; not the same bug." + }, + { + "left": "issue:45588", + "right": "issue:45663", + "accept": false, + "reason": "Flash-attention crash on sink-less models is unrelated to Gemma4 FSDP2 shared_kv_states rebuilding." + }, + { + "left": "issue:43646", + "right": "issue:43708", + "accept": false, + "reason": "Custom model initialization breakage is unrelated to Trainer checkpoint-resume max_steps accounting." + }, + { + "left": "issue:43645", + "right": "issue:44164", + "accept": false, + "reason": "Jupyter custom-model initialization regression is different from save/from_pretrained extra_state handling." + }, + { + "left": "issue:43828", + "right": "issue:43957", + "accept": false, + "reason": "These are both dtype/loading problems, but one is an autocast mismatch on Phi-tiny-MoE and the other is meta-device model loading for specific models." + }, + { + "left": "issue:45292", + "right": "issue:45335", + "accept": true, + "reason": "Same underlying bug: resize_token_embeddings fails to update all output/decoder embedding weights for the related model family." + }, + { + "left": "issue:44402", + "right": "issue:44451", + "accept": false, + "reason": "One is a tokenizer vocab-size mismatch in a specific model; the other is a generic inability to load a different tokenizer/model." + }, + { + "left": "issue:43425", + "right": "issue:43828", + "accept": false, + "reason": "Torch 2.10 incompatibility is a broader dependency issue, not the same as the Phi-tiny-MoE autocast dtype mismatch." + }, + { + "left": "issue:43257", + "right": "issue:44863", + "accept": false, + "reason": "Qwen3 MoE conversion/deepspeed loading and NemotronH checkpoint loading are distinct model-loading bugs." + }, + { + "left": "issue:44589", + "right": "issue:44756", + "accept": false, + "reason": "Float8 storage lookup failure is unrelated to the Strix Halo mmap OOM workaround." + }, + { + "left": "issue:39404", + "right": "issue:45701", + "accept": false, + "reason": "Whisper pipeline return_language regression is not the same as a broad tokenization-change report." + }, + { + "left": "issue:44683", + "right": "issue:45823", + "accept": false, + "reason": "Compiled flex_attention on torch>=2.9 is a different code path from Gemma4 PLE device-mismatch forwarding." + }, + { + "left": "issue:43425", + "right": "issue:45823", + "accept": false, + "reason": "Torch version incompatibility is too broad to equate with Gemma4 device placement during forward." + }, + { + "left": "issue:43611", + "right": "issue:43645", + "accept": false, + "reason": "Both involve custom models under v5, but one is about base_model_prefix loading and the other about notebook initialization; not the same concrete bug." + }, + { + "left": "issue:43425", + "right": "issue:43716", + "accept": false, + "reason": "A dependency incompatibility is not the same as the Mistral-3 image-preprocessor/model dtype mismatch." + }, + { + "left": "issue:44530", + "right": "issue:45084", + "accept": false, + "reason": "PagedAttentionCache linear_attention failure is unrelated to the non-template-node compile error." + }, + { + "left": "issue:43906", + "right": "issue:44530", + "accept": false, + "reason": "An isolated reproduction of an earlier issue is not the same as a PagedAttentionCache crash on Qwen3.5." + }, + { + "left": "issue:39404", + "right": "issue:44912", + "accept": false, + "reason": "Whisper pipeline language behavior is unrelated to MXFP4 quantization fallback on git-oss-20b." + }, + { + "left": "issue:44265", + "right": "issue:44898", + "accept": false, + "reason": "torch.export.export failing under torch_compilable_check is a different bug from Perceiver non-default resolution handling." + }, + { + "left": "issue:44479", + "right": "issue:44805", + "accept": false, + "reason": "Video-input regression in Qwen models is not the same as the generic mask/index shape mismatch report." + }, + { + "left": "issue:43994", + "right": "issue:44079", + "accept": false, + "reason": "Wrong SigLIP2 outputs and ModelOutput key assignment are unrelated." + }, + { + "left": "issue:43901", + "right": "issue:44509", + "accept": false, + "reason": "Docs mentioning return_all_scores is unrelated to docs still listing removed pipeline tasks." + }, + { + "left": "issue:43425", + "right": "issue:44918", + "accept": false, + "reason": "Torch compatibility is not the same as unpacking Qwen3.5 input embeddings with trl SFT trainer." + }, + { + "left": "issue:43299", + "right": "issue:43931", + "accept": false, + "reason": "Both are Qwen3-VL loading errors, but the former is an accelerate/deepspeed conversion issue and the latter is a checkpoint shape-mismatch; not clearly the same bug." + }, + { + "left": "issue:44589", + "right": "issue:45084", + "accept": false, + "reason": "Float8 storage-object lookup and compile-template-node errors are different failures." + }, + { + "left": "issue:44164", + "right": "issue:45759", + "accept": false, + "reason": "extra_state serialization and AutoModelForCausalLM.from_config text_config unwrapping are separate code paths." + }, + { + "left": "issue:36032", + "right": "issue:43452", + "accept": false, + "reason": "T5Tokenizer add_special_tokens conflict is unrelated to gguf_file breaking from_pretrained for tokenizer/model classes." + }, + { + "left": "issue:43596", + "right": "issue:44683", + "accept": false, + "reason": "Deepspeed ZeRO3/BertModel index error is unrelated to compiled flex_attention on newer torch versions." + }, + { + "left": "issue:44671", + "right": "issue:44991", + "accept": false, + "reason": "CamemBERT masked-LM prediction regression and tokenizer load failure for EMBEDDIA/est-roberta are different issues." + }, + { + "left": "issue:39404", + "right": "issue:44671", + "accept": false, + "reason": "Whisper return_language regression is unrelated to CamemBERT masked-LM prediction changes." + }, + { + "left": "issue:43856", + "right": "issue:44756", + "accept": false, + "reason": "Qwen3 MoE training memory usage and Strix Halo mmap OOM are distinct performance/memory issues." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary stays within the packet: it frames the cluster as a loose set of v5 loading/initialization/tokenizer regressions and keeps the non-duplicate pairs conservative. The one accepted soft pair, issue:45292 vs issue:45335, is plausibly the same resize_token_embeddings bug in closely related embedding paths. No soft-edge verdict overstates evidence in a way that would require rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 8, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:32090", + "issue:34567", + "issue:36032", + "issue:39404", + "issue:40444", + "issue:40990", + "issue:42175", + "issue:42915", + "issue:43089", + "issue:43262", + "issue:43317", + "issue:43377", + "issue:43421", + "issue:43452", + "issue:43482", + "issue:43541", + "issue:43582", + "issue:43611", + "issue:43632", + "issue:43643", + "issue:43644", + "issue:43645", + "issue:43646", + "issue:43716", + "issue:43883", + "issue:44164", + "issue:44206", + "issue:44220", + "issue:44451", + "issue:44464", + "issue:44479", + "issue:44488", + "issue:44530", + "issue:44661", + "issue:44683", + "issue:44737", + "issue:44811", + "issue:44849", + "issue:44987", + "issue:44991", + "issue:45081", + "issue:45084", + "issue:45325", + "issue:45507", + "issue:45584", + "issue:45859", + "issue:45987", + "issue:46178" + ], + "soft_pairs": [ + "issue:44991|issue:45081", + "issue:32090|issue:39404", + "issue:44164|issue:44479", + "issue:44737|issue:45859", + "issue:43582|issue:43632", + "issue:44661|issue:44683", + "issue:44488|issue:45081", + "issue:44488|issue:44987", + "issue:43611|issue:43644", + "issue:40990|issue:43421", + "issue:43716|issue:45084", + "issue:44206|issue:44220", + "issue:42175|issue:46178", + "issue:36032|issue:42915", + "issue:43883|issue:44488", + "issue:43643|issue:44530", + "issue:34567|issue:40444", + "issue:44811|issue:45584", + "issue:43541|issue:45084", + "issue:44451|issue:44987", + "issue:42915|issue:44530", + "issue:43644|issue:43646", + "issue:44464|issue:45987", + "issue:43452|issue:43482", + "issue:36032|issue:43645", + "issue:43317|issue:43482", + "issue:44849|issue:45325", + "issue:44987|issue:44991", + "issue:45084|issue:45507", + "issue:43883|issue:44991", + "issue:43262|issue:43377", + "issue:43089|issue:45987" + ], + "prepared_review_unit_hash": "56cf52975c1b952feb4673c85565724bdb698e115ce771f3df23e32259366603", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 37337, + "estimated_input_tokens": 9335, + "estimated_eval_tokens": 18926 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is mostly heterogeneous. A few issues share broad themes like v5 loading/init regressions, tokenizer/model-loading failures, or audio/Whisper paths, but the soft pairs are generally only superficially similar and do not look like the same underlying bug.", + "confidence": 0.89, + "canonical_issue_reason": "Issue 43646 is the broadest representative of the v5 custom-model initialization regression subgroup and is more central than the more specific symptom reports around it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43646 is the best overall representative of this cluster because it captures the widest, most general regression theme among the issues shown.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44991", + "right": "issue:45081", + "accept": false, + "reason": "Both are tokenizer/loading failures, but they involve different models and different failure modes; not the same bug." + }, + { + "left": "issue:32090", + "right": "issue:39404", + "accept": false, + "reason": "Trainer broadcast TypeError and Whisper `return_language` regression are unrelated." + }, + { + "left": "issue:44164", + "right": "issue:44479", + "accept": false, + "reason": "Save/from_pretrained extra_state handling and video-input regression are different code paths and symptoms." + }, + { + "left": "issue:44737", + "right": "issue:45859", + "accept": false, + "reason": "Both are device/offload-related, but one is XLNet CPU work each forward and the other is a Qwen MoE offload incompatibility." + }, + { + "left": "issue:43582", + "right": "issue:43632", + "accept": false, + "reason": "Apple Silicon allocator warmup TypeError and `_is_hf_initialized` flag breakage are distinct." + }, + { + "left": "issue:44661", + "right": "issue:44683", + "accept": false, + "reason": "Model-registry expansion failure and compiled flex_attention failure are unrelated." + }, + { + "left": "issue:44488", + "right": "issue:45081", + "accept": false, + "reason": "Both mention loading tokenizers/models, but one is a specific Mistral regex patch crash and the other is a different tokenizer load failure." + }, + { + "left": "issue:44488", + "right": "issue:44987", + "accept": false, + "reason": "Both are load failures on recent versions, but they involve different models and no shared concrete code-path evidence." + }, + { + "left": "issue:43611", + "right": "issue:43644", + "accept": false, + "reason": "Both are v5 regressions, but base_model_prefix loading and non-persistent buffer corruption are separate bugs." + }, + { + "left": "issue:40990", + "right": "issue:43421", + "accept": false, + "reason": "High perplexity on a model and tokenizer post-processor update behavior are not the same issue." + }, + { + "left": "issue:43716", + "right": "issue:45084", + "accept": false, + "reason": "Image-preprocessor dtype mismatch and template compilation failure are unrelated." + }, + { + "left": "issue:44206", + "right": "issue:44220", + "accept": false, + "reason": "These are both audio feature extraction reports, but one is specifically about an unsupported `center` argument and the other is a generic fbank helper issue; not clearly the same defect." + }, + { + "left": "issue:42175", + "right": "issue:46178", + "accept": false, + "reason": "Both involve backend packaging, but one is missing tensorflow in a torch extra install and the other is an unmapped tensorflow_text backend." + }, + { + "left": "issue:36032", + "right": "issue:42915", + "accept": false, + "reason": "Tokenizer special-token method conflict and FineGrainedFP8Config failure are unrelated." + }, + { + "left": "issue:43883", + "right": "issue:44488", + "accept": false, + "reason": "Missing `all_tied_weights_keys` and tokenizer/model load failure are distinct problems." + }, + { + "left": "issue:43643", + "right": "issue:44530", + "accept": false, + "reason": "Missing fields in AutoConfig and PagedAttentionCache group-type crash are unrelated." + }, + { + "left": "issue:34567", + "right": "issue:40444", + "accept": false, + "reason": "TrainerState token counting and Qwen2.5-VL iterable dataset failure are different bugs." + }, + { + "left": "issue:44811", + "right": "issue:45584", + "accept": false, + "reason": "Both are Whisper-related, but decoding `skip_special_tokens` behavior and empty-transcription generation failure are different issues." + }, + { + "left": "issue:43541", + "right": "issue:45084", + "accept": false, + "reason": "Grouped_mm tracing error and non-template-node compilation error are unrelated compilation/runtime bugs." + }, + { + "left": "issue:44451", + "right": "issue:44987", + "accept": false, + "reason": "Both are loading failures, but they affect different models and do not indicate the same underlying defect." + }, + { + "left": "issue:42915", + "right": "issue:44530", + "accept": false, + "reason": "Fine-grained FP8 loading failure and linear_attention cache crash are different model/runtime issues." + }, + { + "left": "issue:43644", + "right": "issue:43646", + "accept": false, + "reason": "Both are v5 init regressions, but junk-filled non-persistent buffers and broken custom model initialization are not the same bug." + }, + { + "left": "issue:44464", + "right": "issue:45987", + "accept": false, + "reason": "Chunked generation inconsistency and StaticCache seq-length contract mismatch are related to generation, but not the same underlying issue." + }, + { + "left": "issue:43452", + "right": "issue:43482", + "accept": false, + "reason": "Both concern GGUF loading, but one is a generic gguf_file breakage and the other is a specific Qwen2.5-GGUF version regression." + }, + { + "left": "issue:36032", + "right": "issue:43645", + "accept": false, + "reason": "Tokenizer special-token conflict and Jupyter custom-model initialization are unrelated." + }, + { + "left": "issue:43317", + "right": "issue:43482", + "accept": false, + "reason": "GPU/CPU offload loading failure and Qwen2.5-GGUF loading regression are distinct." + }, + { + "left": "issue:44849", + "right": "issue:45325", + "accept": false, + "reason": "Both are Qwen-family regressions, but hidden-states output and RoPE position scaling are different code paths." + }, + { + "left": "issue:44987", + "right": "issue:44991", + "accept": false, + "reason": "Both are version-related loading failures, but they hit different models and there is no evidence of a shared root cause." + }, + { + "left": "issue:45084", + "right": "issue:45507", + "accept": false, + "reason": "Template compilation and GraniteMoEHybrid invalid method calls are unrelated." + }, + { + "left": "issue:43883", + "right": "issue:44991", + "accept": false, + "reason": "Missing tied-weights metadata and tokenizer load regression are different bugs." + }, + { + "left": "issue:43262", + "right": "issue:43377", + "accept": false, + "reason": "Audio processor sample-rate defaulting and MIMI padding-mask batching are different issues." + }, + { + "left": "issue:43089", + "right": "issue:45987", + "accept": false, + "reason": "Generation sync overhead and cache sequence-length return type mismatch are not the same 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": 17, + "review_unit_index": 9, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:33666", + "issue:36032", + "issue:40444", + "issue:40990", + "issue:41553", + "issue:41720", + "issue:42915", + "issue:43296", + "issue:43322", + "issue:43377", + "issue:43404", + "issue:43425", + "issue:43531", + "issue:43540", + "issue:43582", + "issue:43611", + "issue:43632", + "issue:43645", + "issue:43646", + "issue:43742", + "issue:43792", + "issue:43819", + "issue:43994", + "issue:44062", + "issue:44079", + "issue:44220", + "issue:44265", + "issue:44291", + "issue:44403", + "issue:44451", + "issue:44466", + "issue:44479", + "issue:44534", + "issue:44589", + "issue:44610", + "issue:44683", + "issue:44756", + "issue:44811", + "issue:44877", + "issue:44987", + "issue:45020", + "issue:45081", + "issue:45084", + "issue:45127", + "issue:45216", + "issue:45325", + "issue:45357", + "issue:45663" + ], + "soft_pairs": [ + "issue:43645|issue:44534", + "issue:43646|issue:44534", + "issue:43322|issue:43540", + "issue:43404|issue:44466", + "issue:44403|issue:45081", + "issue:43994|issue:44610", + "issue:42915|issue:45084", + "issue:43377|issue:43819", + "issue:44265|issue:44610", + "issue:44451|issue:45081", + "issue:44987|issue:45081", + "issue:44220|issue:44683", + "issue:42915|issue:44291", + "issue:45216|issue:45357", + "issue:43632|issue:44756", + "issue:44062|issue:44987", + "issue:36032|issue:43742", + "issue:44479|issue:45325", + "issue:42915|issue:44589", + "issue:43404|issue:45127", + "issue:43296|issue:43531", + "issue:40444|issue:45325", + "issue:36032|issue:41720", + "issue:43531|issue:44877", + "issue:43611|issue:44534", + "issue:43425|issue:44403", + "issue:41553|issue:43582", + "issue:43632|issue:44534", + "issue:40990|issue:44811", + "issue:44079|issue:45663", + "issue:43792|issue:44589", + "issue:33666|issue:40444", + "issue:44683|issue:45020" + ], + "prepared_review_unit_hash": "6a3e2022fe3ec4513f1a4e8730fc7c4f6534bc4751a52263b63ecf014d34a154", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 33, + "serialized_chars": 37467, + "estimated_input_tokens": 9367, + "estimated_eval_tokens": 18990 + }, + "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 issues. Only the two Qwen3.5 save_pretrained reports look like the same underlying regression; the rest are distinct bugs or symptom families.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 45216 is the broader regression report for the Qwen3.5 save_pretrained problem; 45357 reads like a narrower follow-up about one incorrect key set.", + "canonical_pr_reason": null, + "best_issue_reason": "45216 is the clearest representative of the only plausible duplicate family in this cluster and has the most general description of the bug.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43645", + "right": "issue:44534", + "accept": false, + "reason": "Different failures: custom model init in notebooks vs non-persistent buffer corruption." + }, + { + "left": "issue:43646", + "right": "issue:44534", + "accept": false, + "reason": "Custom model initialization regression and junk buffer filling are unrelated." + }, + { + "left": "issue:43322", + "right": "issue:43540", + "accept": false, + "reason": "Different model paths and symptoms: Llava Next loading segfault vs Qwen3OmniMoe video-input ValueError." + }, + { + "left": "issue:43404", + "right": "issue:44466", + "accept": false, + "reason": "Both mention tied lm_head weights, but one is a missing tie in a specific model and the other is a save_pretrained serialization inconsistency; not the same concrete bug." + }, + { + "left": "issue:44403", + "right": "issue:45081", + "accept": false, + "reason": "Unnecessary loading noise is unrelated to the Mistral regex patch crash." + }, + { + "left": "issue:43994", + "right": "issue:44610", + "accept": false, + "reason": "Different issues: Siglip2 output quality vs OmDet-Turbo image-size mismatch." + }, + { + "left": "issue:42915", + "right": "issue:45084", + "accept": false, + "reason": "Qwen3Moe FP8 config failure and template compilation TypeError are unrelated." + }, + { + "left": "issue:43377", + "right": "issue:43819", + "accept": false, + "reason": "Different audio-model bugs: padding-mask batching mismatch vs DAC latent/STE mismatch." + }, + { + "left": "issue:44265", + "right": "issue:44610", + "accept": false, + "reason": "torch.export with torch_compilable_check is unrelated to processor output size mismatch." + }, + { + "left": "issue:44451", + "right": "issue:45081", + "accept": false, + "reason": "ScandiBERT loading failure is unrelated to the Mistral tokenizer backend crash." + }, + { + "left": "issue:44987", + "right": "issue:45081", + "accept": false, + "reason": "Loading physical-intelligence/fast and patch_mistral_regex crash are different problems." + }, + { + "left": "issue:44220", + "right": "issue:44683", + "accept": false, + "reason": "Different code paths: fbank extraction issue vs flex_attention compilation on newer torch." + }, + { + "left": "issue:42915", + "right": "issue:44291", + "accept": false, + "reason": "FP8 config failure and unexpected _is_hf_initialized argument are separate incompatibilities." + }, + { + "left": "issue:45216", + "right": "issue:45357", + "accept": true, + "reason": "Same Qwen3.5 save_pretrained regression family; 45357 is a narrower manifestation involving incorrect visual encoder keys." + }, + { + "left": "issue:43632", + "right": "issue:44756", + "accept": false, + "reason": "_is_hf_initialized breakage is unrelated to Strix Halo mmap OOM behavior." + }, + { + "left": "issue:44062", + "right": "issue:44987", + "accept": false, + "reason": "AddedToken keyword collision is unrelated to the physical-intelligence/fast loading regression." + }, + { + "left": "issue:36032", + "right": "issue:43742", + "accept": false, + "reason": "T5 tokenizer special-token conflict and MobileLLM key error are different loading failures." + }, + { + "left": "issue:44479", + "right": "issue:45325", + "accept": false, + "reason": "Both are Qwen VL regressions, but one is video-input processing and the other is still-image rope-position scaling." + }, + { + "left": "issue:42915", + "right": "issue:44589", + "accept": false, + "reason": "FP8 config failure and Float8 storage lookup error are different issues." + }, + { + "left": "issue:43404", + "right": "issue:45127", + "accept": false, + "reason": "Both involve tied weights, but one is a missing tie in Mistral3 and the other is LoRA merging with extended vocab collapse." + }, + { + "left": "issue:43296", + "right": "issue:43531", + "accept": false, + "reason": "PaddleOCR-VL loading failure and Qwen3-MoE sliding_window behavior are unrelated." + }, + { + "left": "issue:40444", + "right": "issue:45325", + "accept": false, + "reason": "Qwen2.5-VL multi-image IterableDataset failure is not the same bug as still-image temporal position scaling." + }, + { + "left": "issue:36032", + "right": "issue:41720", + "accept": false, + "reason": "Tokenizer conflict and Qwen3 auto-device-map cuda assert are unrelated." + }, + { + "left": "issue:43531", + "right": "issue:44877", + "accept": false, + "reason": "Qwen3-MoE sliding_window bug and granite_speech strict-config loading are unrelated." + }, + { + "left": "issue:43611", + "right": "issue:44534", + "accept": false, + "reason": "base_model_prefix loading regression and non-persistent buffer junk are different Transformers v5 issues." + }, + { + "left": "issue:43425", + "right": "issue:44403", + "accept": false, + "reason": "Torch 2.10 compatibility and loading noise are unrelated." + }, + { + "left": "issue:41553", + "right": "issue:43582", + "accept": false, + "reason": "Bad AutoTokenizer error message and Apple Silicon warmup TypeError are unrelated." + }, + { + "left": "issue:43632", + "right": "issue:44534", + "accept": false, + "reason": "_is_hf_initialized breakage is unrelated to junk-filled non-persistent buffers." + }, + { + "left": "issue:40990", + "right": "issue:44811", + "accept": false, + "reason": "High perplexity on GPT-OSS and Whisper batch_decode skip_special_tokens are unrelated." + }, + { + "left": "issue:44079", + "right": "issue:45663", + "accept": false, + "reason": "ModelOutput key assignment and Gemma-4 shared_kv_states/FSDP2 are unrelated." + }, + { + "left": "issue:43792", + "right": "issue:44589", + "accept": false, + "reason": "Whisper runtime failure and Float8 storage lookup error are unrelated." + }, + { + "left": "issue:33666", + "right": "issue:40444", + "accept": false, + "reason": "Both are Qwen-VL training issues, but they affect different model versions and different failure modes." + }, + { + "left": "issue:44683", + "right": "issue:45020", + "accept": false, + "reason": "flex_attention compilation on torch>=2.9 and remote_code loading regressions are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The judgment is grounded in the packet and the soft-edge calls are conservative. The only accepted pair, issue:45216 and issue:45357, is well-supported by their shared Qwen3.5 save_pretrained regression theme and the titles\u2019 narrower/broader relationship. The rest are plausibly distinct bug families, and the summary does not overstate the evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 10, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:35707", + "issue:40444", + "issue:41720", + "issue:42175", + "issue:42915", + "issue:43296", + "issue:43317", + "issue:43377", + "issue:43381", + "issue:43421", + "issue:43454", + "issue:43482", + "issue:43525", + "issue:43531", + "issue:43611", + "issue:43632", + "issue:43644", + "issue:43646", + "issue:43749", + "issue:43792", + "issue:43818", + "issue:43856", + "issue:43957", + "issue:43994", + "issue:44079", + "issue:44265", + "issue:44291", + "issue:44403", + "issue:44462", + "issue:44466", + "issue:44534", + "issue:44568", + "issue:44589", + "issue:44829", + "issue:44898", + "issue:44991", + "issue:45072", + "issue:45081", + "issue:45325", + "issue:45357", + "issue:45381", + "issue:45479", + "issue:45491", + "issue:45538", + "issue:45542", + "issue:45812", + "issue:45834", + "issue:45923" + ], + "soft_pairs": [ + "issue:43421|issue:44568", + "issue:44403|issue:44991", + "issue:35707|issue:40444", + "issue:43381|issue:45923", + "issue:42175|issue:45542", + "issue:44462|issue:45812", + "issue:43317|issue:43856", + "issue:43482|issue:45538", + "issue:44829|issue:45479", + "issue:44291|issue:44589", + "issue:43482|issue:43525", + "issue:44079|issue:44534", + "issue:43818|issue:45357", + "issue:43377|issue:45491", + "issue:43531|issue:44291", + "issue:41720|issue:45081", + "issue:40444|issue:45381", + "issue:44265|issue:45072", + "issue:43644|issue:44079", + "issue:43749|issue:44079", + "issue:45325|issue:45381", + "issue:42175|issue:43296", + "issue:43632|issue:45072", + "issue:43611|issue:43646", + "issue:43792|issue:43957", + "issue:45325|issue:45834", + "issue:43994|issue:44898", + "issue:43454|issue:44466", + "issue:42915|issue:43482" + ], + "prepared_review_unit_hash": "35947cd9c4de34070b1545a402d9830cd8fa685d985fb1954a1deb3fe144d078", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36687, + "estimated_input_tokens": 9172, + "estimated_eval_tokens": 18600 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a grab-bag of unrelated Transformers v5 regressions and model-specific bugs; there isn\u2019t a single clear duplicate thread. The strongest common theme is general model/tokenizer loading regressions, but the soft pairs are still too specific to merge.", + "confidence": 0.52, + "canonical_issue_reason": "Issue 43611 is the broadest representative of the repeated v5 model-loading regressions in this set, but it is not an exact duplicate umbrella for the whole cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "43611 is the best anchor issue because it captures a high-level Transformers v5 loading regression with wide potential impact, even though most other issues here are separate bugs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43421", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer-related, but one is runtime post-processor sync and the other is missing BOS/EOS insertion for a specific tokenizer; different bugs." + }, + { + "left": "issue:44403", + "right": "issue:44991", + "accept": false, + "reason": "One is about noisy loading logs, the other is a tokenizer-loading failure for a specific model; not the same issue." + }, + { + "left": "issue:35707", + "right": "issue:40444", + "accept": false, + "reason": "Different workflows and failures: generation with inputs_embeds/past_key_values vs VL finetuning with multiple images per prompt." + }, + { + "left": "issue:43381", + "right": "issue:45923", + "accept": false, + "reason": "Both mention gradient checkpointing, but one is eval-mode incompatibility and the other is a missing capability flag on a remote-code model." + }, + { + "left": "issue:42175", + "right": "issue:45542", + "accept": false, + "reason": "Both touch TensorFlow packaging, but one is missing TF in the torch extra and the other is a bad backend state when only tensorboard is installed." + }, + { + "left": "issue:44462", + "right": "issue:45812", + "accept": false, + "reason": "Tokenizer repository selection vs wrong token IDs for Granite models are different failure modes." + }, + { + "left": "issue:43317", + "right": "issue:43856", + "accept": false, + "reason": "Dequantized model offload loading and Qwen3 MoE memory usage are unrelated problems." + }, + { + "left": "issue:43482", + "right": "issue:45538", + "accept": false, + "reason": "GGUF loading failure and CLIPTokenizer max-length configuration are unrelated." + }, + { + "left": "issue:44829", + "right": "issue:45479", + "accept": false, + "reason": "One is flash_attention_3 training degeneration; the other is single-label classification with num_labels=1 causing zero loss across models." + }, + { + "left": "issue:44291", + "right": "issue:44589", + "accept": false, + "reason": "Both are v5 loading-related, but one is an init_empty_weights argument mismatch and the other is a float8 storage lookup error." + }, + { + "left": "issue:43482", + "right": "issue:43525", + "accept": false, + "reason": "Different concrete loading failures: GGUF support vs missing pad_token_id on Llama4Config." + }, + { + "left": "issue:44079", + "right": "issue:44534", + "accept": false, + "reason": "ModelOutput key assignment bug and non-persistent buffer initialization bug are separate code paths." + }, + { + "left": "issue:43818", + "right": "issue:45357", + "accept": false, + "reason": "Video-LLaVA tower initialization/weight sharing is unrelated to Qwen3.5 save_pretrained visual-encoder key serialization." + }, + { + "left": "issue:43377", + "right": "issue:45491", + "accept": false, + "reason": "Both involve batching, but one is a missing padding mask in MIMI and the other is NaNs from sliding-window/all-padding windows in Gemma3." + }, + { + "left": "issue:43531", + "right": "issue:44291", + "accept": false, + "reason": "Sliding-window behavior in Qwen3-MoE is a different bug from init_empty_weights/_is_hf_initialized argument handling." + }, + { + "left": "issue:41720", + "right": "issue:45081", + "accept": false, + "reason": "CUDA assert in Qwen3 auto device mapping is unrelated to the Mistral tokenizer regex patch crash." + }, + { + "left": "issue:40444", + "right": "issue:45381", + "accept": false, + "reason": "Both are Qwen2.5-VL, but one is training with multiple images and the other is video vision_position_ids being wrong." + }, + { + "left": "issue:44265", + "right": "issue:45072", + "accept": false, + "reason": "torch.export with torch_compilable_check and dtype mismatches in bfloat16 inference are different issues." + }, + { + "left": "issue:43644", + "right": "issue:44079", + "accept": false, + "reason": "Non-persistent buffer junk filling is unrelated to ModelOutput key assignment." + }, + { + "left": "issue:43749", + "right": "issue:44079", + "accept": false, + "reason": "FSDP CPU RAM efficient loading and ModelOutput key assignment are not the same bug." + }, + { + "left": "issue:45325", + "right": "issue:45381", + "accept": false, + "reason": "Both are Qwen2.5-VL position-id issues, but one is still-image temporal scaling and the other is video input position_ids; too different to merge." + }, + { + "left": "issue:42175", + "right": "issue:43296", + "accept": false, + "reason": "TensorFlow backend packaging and PaddleOCR-VL loading in vLLM are unrelated." + }, + { + "left": "issue:43632", + "right": "issue:45072", + "accept": false, + "reason": "_is_hf_initialized flag handling and bfloat16 dtype mismatches are different regressions." + }, + { + "left": "issue:43611", + "right": "issue:43646", + "accept": false, + "reason": "Both are v5 model-loading regressions, but base_model_prefix handling and custom model initialization are distinct failure modes." + }, + { + "left": "issue:43792", + "right": "issue:43957", + "accept": false, + "reason": "Whisper model runtime failure and meta-device loading breakage are not the same underlying bug." + }, + { + "left": "issue:45325", + "right": "issue:45834", + "accept": false, + "reason": "Different Qwen2.5-VL models and different OCR/position-id failure contexts." + }, + { + "left": "issue:43994", + "right": "issue:44898", + "accept": false, + "reason": "SigLIP2 nonsensical outputs and Perceiver non-default-resolution failure are unrelated model-specific issues." + }, + { + "left": "issue:43454", + "right": "issue:44466", + "accept": false, + "reason": "lm_head weight tying during generation vs serialization inconsistency depending on device are related in theme but not the same concrete bug." + }, + { + "left": "issue:42915", + "right": "issue:43482", + "accept": false, + "reason": "Qwen3Moe FP8 config failure and Qwen2.5-GGUF loading failure are separate model/runtime 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": 17, + "review_unit_index": 11, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:34634", + "issue:35707", + "issue:39692", + "issue:40444", + "issue:40990", + "issue:41720", + "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:43701", + "issue:43720", + "issue:43746", + "issue:43819", + "issue:43873", + "issue:43881", + "issue:43883", + "issue:44186", + "issue:44265", + "issue:44291", + "issue:44387", + "issue:44479", + "issue:44488", + "issue:44568", + "issue:44610", + "issue:44617", + "issue:44877", + "issue:44898", + "issue:44991", + "issue:45072", + "issue:45325", + "issue:45584", + "issue:45701", + "issue:45759", + "issue:45800", + "issue:45823", + "issue:45920", + "issue:45923", + "issue:46050" + ], + "soft_pairs": [ + "issue:43296|issue:45800", + "issue:44387|issue:44617", + "issue:44479|issue:45823", + "issue:43701|issue:45325", + "issue:43881|issue:44488", + "issue:44291|issue:44877", + "issue:43606|issue:44265", + "issue:43262|issue:43746", + "issue:43873|issue:45701", + "issue:34634|issue:35707", + "issue:40990|issue:45584", + "issue:44568|issue:45920", + "issue:35707|issue:41720", + "issue:44186|issue:44265", + "issue:43606|issue:43819", + "issue:41720|issue:45823", + "issue:43454|issue:43550", + "issue:39692|issue:40444", + "issue:43377|issue:44610", + "issue:43317|issue:43873", + "issue:43454|issue:45072", + "issue:43572|issue:45759", + "issue:43257|issue:45923", + "issue:43377|issue:44898", + "issue:40990|issue:42947", + "issue:43526|issue:43883", + "issue:43322|issue:46050", + "issue:43881|issue:44991", + "issue:43454|issue:43720", + "issue:41720|issue:43322" + ], + "prepared_review_unit_hash": "fa2b47b8879dc51abb58353fb3bd8cde0f3ec4162f4ed7cb19ed651e8fc883ce", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 30, + "serialized_chars": 36270, + "estimated_input_tokens": 9068, + "estimated_eval_tokens": 18392 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft duplicate pairs look like the same underlying bug/change; the overlaps are mostly broad subsystem similarity (tokenization, offloading, device map, multimodal loading) but the concrete failure modes differ. No PRs were provided.", + "confidence": 0.94, + "canonical_issue_reason": "issue:43873 is the strongest hub candidate: it is open, has the most discussion/inbound references among these issues, and covers a broad, actively reported offloading/quantization failure mode.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45920 is the clearest high-impact report: it describes a concrete cross-model tokenizer regression with a well-scoped symptom and broad user impact.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43296", + "right": "issue:45800", + "accept": false, + "reason": "Different problems: a PaddleOCR-VL loading failure in vLLM vs a general torch/transformers version incompatibility." + }, + { + "left": "issue:44387", + "right": "issue:44617", + "accept": false, + "reason": "Both mention memory issues, but one is int4 CUDA reserved memory/OOM and the other is Sam3Video runtime OOM; not the same bug." + }, + { + "left": "issue:44479", + "right": "issue:45823", + "accept": false, + "reason": "Different model families and failures: video-input regression in Qwen VL models vs Gemma4 PLE device mismatch during forward." + }, + { + "left": "issue:43701", + "right": "issue:45325", + "accept": false, + "reason": "Resume-checkpoint key mismatch is unrelated to Qwen2.5-VL rope/position-id scaling." + }, + { + "left": "issue:43881", + "right": "issue:44488", + "accept": false, + "reason": "Both are load failures, but they involve different models and likely different root causes." + }, + { + "left": "issue:44291", + "right": "issue:44877", + "accept": false, + "reason": "Unexpected init_empty_weights argument vs strict config blocking granite_speech config loading are distinct initialization/config issues." + }, + { + "left": "issue:43606", + "right": "issue:44265", + "accept": false, + "reason": "CPU-offload device mismatch for bark-small is not the same as torch.export failures around torch_compilable_check." + }, + { + "left": "issue:43262", + "right": "issue:43746", + "accept": false, + "reason": "Audio chat-template sampling-rate defaulting and GraniteSpeech PEFT checkpoint loading are unrelated." + }, + { + "left": "issue:43873", + "right": "issue:45701", + "accept": false, + "reason": "Quantization/offloading behavior is unrelated to tokenization changes." + }, + { + "left": "issue:34634", + "right": "issue:35707", + "accept": false, + "reason": "BarkProcessor voice_preset failure and progressive generation with inputs_embeds/past_key_values are different code paths." + }, + { + "left": "issue:40990", + "right": "issue:45584", + "accept": false, + "reason": "High perplexity on GPT-OSS vs Whisper empty-transcription failure after align_special_tokens are different bugs." + }, + { + "left": "issue:44568", + "right": "issue:45920", + "accept": false, + "reason": "Both are tokenizer regressions, but one is a specific special-token insertion bug for a single tokenizer while the other is a broader wrong-token-IDs regression across many models." + }, + { + "left": "issue:35707", + "right": "issue:41720", + "accept": false, + "reason": "Progressive generation inputs/past_key_values and Qwen3 auto device-map cudaErrorAssert are unrelated." + }, + { + "left": "issue:44186", + "right": "issue:44265", + "accept": false, + "reason": "LayoutLMv2Tokenizer padding/truncation crashes are not the same as torch.export failures in models using torch_compilable_check." + }, + { + "left": "issue:43606", + "right": "issue:43819", + "accept": false, + "reason": "Both are model-specific generation/load problems, but bark-small CPU offload mismatch and DAC from_latents/forward mismatch are distinct." + }, + { + "left": "issue:41720", + "right": "issue:45823", + "accept": false, + "reason": "Both involve device placement, but the affected models and failure modes differ substantially." + }, + { + "left": "issue:43454", + "right": "issue:43550", + "accept": false, + "reason": "lm_head tying in AyaVisionConfig is unrelated to Bamba-9B-v2 torch.compile SDPA failure." + }, + { + "left": "issue:39692", + "right": "issue:40444", + "accept": false, + "reason": "Documentation/model-processor mismatch and quantization errors are unrelated to iterable dataset multi-image finetuning failures." + }, + { + "left": "issue:43377", + "right": "issue:44610", + "accept": false, + "reason": "MIMI padding-mask batch-vs-single inconsistency is unrelated to OmDet-Turbo processor/model input-size mismatch." + }, + { + "left": "issue:43317", + "right": "issue:43873", + "accept": false, + "reason": "Both concern offloading/quantization, but one is dequantized model loading with auto device_map while the other is a broader offloading-not-working report; not enough evidence of the same bug." + }, + { + "left": "issue:43454", + "right": "issue:45072", + "accept": false, + "reason": "Weight tying in AyaVisionConfig and bf16 dtype mismatches in different models are unrelated." + }, + { + "left": "issue:43572", + "right": "issue:45759", + "accept": false, + "reason": "Missing pad_token_idx in StableLmConfig is unrelated to unwrapping text_config for composite Qwen multimodal configs." + }, + { + "left": "issue:43257", + "right": "issue:45923", + "accept": false, + "reason": "Qwen3 MoE weight conversion under accelerate+deepspeed and a missing supports_gradient_checkpointing flag are separate issues." + }, + { + "left": "issue:43377", + "right": "issue:44898", + "accept": false, + "reason": "Padding-mask support in MIMI and Perceiver non-default-resolution failures are different models and mechanisms." + }, + { + "left": "issue:40990", + "right": "issue:42947", + "accept": false, + "reason": "Perplexity regression on GPT-OSS is unrelated to gradient checkpointing ineffectiveness with PEFT LoRA." + }, + { + "left": "issue:43526", + "right": "issue:43883", + "accept": false, + "reason": "BeitImageProcessorFast label reduction bug and Molmo all_tied_weights_keys missing are unrelated." + }, + { + "left": "issue:43322", + "right": "issue:46050", + "accept": false, + "reason": "Llava Next segmentation fault while loading and sinq save/load quantization breakage are different failure modes." + }, + { + "left": "issue:43881", + "right": "issue:44991", + "accept": false, + "reason": "Different model/tokenizer loading failures with no clear shared code-path." + }, + { + "left": "issue:43454", + "right": "issue:43720", + "accept": false, + "reason": "AyaVision lm_head tying and BitNet packed-weight unpacking are unrelated." + }, + { + "left": "issue:41720", + "right": "issue:43322", + "accept": false, + "reason": "Both are load/runtime failures, but one is Qwen3 device-map assertion and the other is Llava Next segmentation fault; 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": 17, + "review_unit_index": 12, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36010", + "issue:36331", + "issue:40990", + "issue:41720", + "issue:42617", + "issue:42915", + "issue:43295", + "issue:43296", + "issue:43317", + "issue:43404", + "issue:43450", + "issue:43526", + "issue:43550", + "issue:43577", + "issue:43606", + "issue:43708", + "issue:43720", + "issue:43749", + "issue:43873", + "issue:43881", + "issue:44008", + "issue:44186", + "issue:44387", + "issue:44423", + "issue:44466", + "issue:44479", + "issue:44534", + "issue:44610", + "issue:44671", + "issue:44743", + "issue:44756", + "issue:44877", + "issue:44898", + "issue:44918", + "issue:44977", + "issue:44991", + "issue:45072", + "issue:45081", + "issue:45161", + "issue:45357", + "issue:45406", + "issue:45632", + "issue:45684", + "issue:45701", + "issue:45704", + "issue:45812", + "issue:45823" + ], + "soft_pairs": [ + "issue:43749|issue:44534", + "issue:43296|issue:44877", + "issue:44466|issue:45357", + "issue:41720|issue:44977", + "issue:42617|issue:42915", + "issue:40990|issue:45701", + "issue:44008|issue:45823", + "issue:44387|issue:45704", + "issue:44186|issue:45072", + "issue:36331|issue:42617", + "issue:43577|issue:43708", + "issue:43404|issue:45357", + "issue:44877|issue:44991", + "issue:43873|issue:44756", + "issue:36331|issue:42915", + "issue:43450|issue:45701", + "issue:43550|issue:43720", + "issue:44423|issue:45406", + "issue:45632|issue:45684", + "issue:41720|issue:42617", + "issue:44479|issue:44918", + "issue:44610|issue:44898", + "issue:43550|issue:43606", + "issue:44186|issue:44610", + "issue:42915|issue:43317", + "issue:43295|issue:45701", + "issue:43526|issue:43881", + "issue:41720|issue:45161", + "issue:44671|issue:44743", + "issue:36010|issue:42617", + "issue:45081|issue:45812" + ], + "prepared_review_unit_hash": "3dbd092e1710d91cd5111729438996bc1496d499f12ad85343abb30f6731a78c", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 36661, + "estimated_input_tokens": 9166, + "estimated_eval_tokens": 18588 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a true duplicate set; it mixes unrelated issues across tokenization, loading/offload, multimodal processors, training, and model-specific regressions. No single issue or PR is a good canonical representative.", + "confidence": 0.97, + "canonical_issue_reason": "No single issue is canonical because the artifacts describe different bugs in different code paths and models.", + "canonical_pr_reason": null, + "best_issue_reason": "No global best issue: the cluster is too heterogeneous, so a representative should be chosen per subtopic rather than across the whole set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43749", + "right": "issue:44534", + "accept": false, + "reason": "Both are loading/memory-related, but one is broken FSDP CPU RAM-efficient loading and the other is non-persistent buffer corruption; different bugs." + }, + { + "left": "issue:43296", + "right": "issue:44877", + "accept": false, + "reason": "Different failures: PaddleOCR-VL model loading in vLLM versus strict config blocking granite_speech config." + }, + { + "left": "issue:44466", + "right": "issue:45357", + "accept": false, + "reason": "Both involve save_pretrained/serialization, but one is lm_head.weight serialization and the other is incorrect visual encoder keys in Qwen3.5." + }, + { + "left": "issue:41720", + "right": "issue:44977", + "accept": false, + "reason": "Different code paths and symptoms: auto device mapping cuda assert versus flash-attention generation regression." + }, + { + "left": "issue:42617", + "right": "issue:42915", + "accept": false, + "reason": "3d_parallel.py startup failure is unrelated to Qwen3Moe failing with FineGrainedFP8Config." + }, + { + "left": "issue:40990", + "right": "issue:45701", + "accept": false, + "reason": "Perplexity anomaly on gpt-oss-20b is not the same underlying bug as a tokenization-behavior change across versions." + }, + { + "left": "issue:44008", + "right": "issue:45823", + "accept": false, + "reason": "Gemma3n forward variable collision and Gemma4 PLE device mismatch are unrelated bugs." + }, + { + "left": "issue:44387", + "right": "issue:45704", + "accept": false, + "reason": "Both mention memory, but one is int4 quantization OOM in v5 and the other is a T5 apex RMSNorm memory leak." + }, + { + "left": "issue:44186", + "right": "issue:45072", + "accept": false, + "reason": "Tokenizer padding/truncation crash and dtype mismatch in inference are distinct problems." + }, + { + "left": "issue:36331", + "right": "issue:42617", + "accept": false, + "reason": "Trainer compute_loss signature regression is unrelated to 3d_parallel.py failing to run." + }, + { + "left": "issue:43577", + "right": "issue:43708", + "accept": false, + "reason": "BLIP2 dtype-loading issue and Trainer resume/max_steps calculation bug are different training/loading defects." + }, + { + "left": "issue:43404", + "right": "issue:45357", + "accept": false, + "reason": "Mistral3 lm_head tying bug and Qwen3.5 visual encoder key serialization bug are unrelated." + }, + { + "left": "issue:44877", + "right": "issue:44991", + "accept": false, + "reason": "Strict config rejection for granite_speech and tokenizer loading failure for est-roberta do not share the same underlying cause." + }, + { + "left": "issue:43873", + "right": "issue:44756", + "accept": false, + "reason": "Both relate to memory/offload, but one is quantization offloading and the other is mmap-induced OOM on Strix Halo." + }, + { + "left": "issue:36331", + "right": "issue:42915", + "accept": false, + "reason": "Trainer custom loss signature mismatch is unrelated to Qwen3Moe FineGrainedFP8Config failure." + }, + { + "left": "issue:43450", + "right": "issue:45701", + "accept": false, + "reason": "Video batch-shape bug and tokenization-version behavior change are unrelated." + }, + { + "left": "issue:43550", + "right": "issue:43720", + "accept": false, + "reason": "torch.compile SDPA failure in Bamba and packed-weight unpacking failure in BitNet are different model-loading/runtime bugs." + }, + { + "left": "issue:44423", + "right": "issue:45406", + "accept": false, + "reason": "Both crash in serving, but one is continuous-batching multimodal input handling and the other is Gemma4Processor missing _tokenizer." + }, + { + "left": "issue:45632", + "right": "issue:45684", + "accept": false, + "reason": "Cache-path collision for trust_remote_code and read-only permission propagation in save_pretrained are unrelated." + }, + { + "left": "issue:41720", + "right": "issue:42617", + "accept": false, + "reason": "Different problems: Qwen3 auto device mapping assert versus a separate 3d_parallel.py execution failure." + }, + { + "left": "issue:44479", + "right": "issue:44918", + "accept": false, + "reason": "Video-input regression for Qwen models and SFT embedding unpacking failure are not the same bug." + }, + { + "left": "issue:44610", + "right": "issue:44898", + "accept": false, + "reason": "Both involve image sizes, but one is a processor/model size mismatch and the other is a Perceiver interpolation failure." + }, + { + "left": "issue:43550", + "right": "issue:43606", + "accept": false, + "reason": "Bamba SDPA compile failure and Bark CPU-offload device mismatch are unrelated." + }, + { + "left": "issue:44186", + "right": "issue:44610", + "accept": false, + "reason": "LayoutLMv2 tokenizer crash and OmDet-Turbo processor resolution mismatch are different subsystems and failure modes." + }, + { + "left": "issue:42915", + "right": "issue:43317", + "accept": false, + "reason": "Both are model loading/offload issues, but one is Qwen3Moe FineGrainedFP8Config and the other is dequantized model loading with gpu+cpu offload." + }, + { + "left": "issue:43295", + "right": "issue:45701", + "accept": false, + "reason": "Regression in processor.tokenizer/images handling is not the same as a broader tokenization-version change." + }, + { + "left": "issue:43526", + "right": "issue:43881", + "accept": false, + "reason": "BeitImageProcessorFast reduce_labels bug and glm-4v-9b loading failure are unrelated." + }, + { + "left": "issue:41720", + "right": "issue:45161", + "accept": false, + "reason": "Both concern device/sharding behavior, but the concrete failures differ: cuda assert on A800 versus only tensor parallel not working." + }, + { + "left": "issue:44671", + "right": "issue:44743", + "accept": false, + "reason": "CamemBERT masked LM regression and Qwen3.5 recurrent-state reset bug are unrelated model behaviors." + }, + { + "left": "issue:36010", + "right": "issue:42617", + "accept": false, + "reason": "ImportError for GenerationMixin and 3d_parallel.py execution failure have no shared underlying bug." + }, + { + "left": "issue:45081", + "right": "issue:45812", + "accept": false, + "reason": "Both are tokenizer-related regressions, but one is Mistral regex patching and the other is Granite token ID generation; different code paths and models." + } + ] + }, + "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": 17, + "review_unit_index": 13, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:29159", + "issue:30064", + "issue:33357", + "issue:34567", + "issue:34634", + "issue:35707", + "issue:36032", + "issue:36331", + "issue:41720", + "issue:42490", + "issue:42915", + "issue:43316", + "issue:43322", + "issue:43329", + "issue:43388", + "issue:43421", + "issue:43531", + "issue:43540", + "issue:43550", + "issue:43572", + "issue:43606", + "issue:43653", + "issue:43720", + "issue:43746", + "issue:43782", + "issue:43873", + "issue:43927", + "issue:44186", + "issue:44361", + "issue:44451", + "issue:44492", + "issue:44509", + "issue:44514", + "issue:44545", + "issue:44625", + "issue:44898", + "issue:44913", + "issue:44991", + "issue:45059", + "issue:45072", + "issue:45381", + "issue:45406", + "issue:45464", + "issue:45479", + "issue:45701", + "issue:45704", + "issue:45759", + "issue:45812" + ], + "soft_pairs": [ + "issue:43531|issue:43572", + "issue:43316|issue:44913", + "issue:43540|issue:43782", + "issue:42915|issue:43322", + "issue:43421|issue:45812", + "issue:44186|issue:44361", + "issue:36331|issue:41720", + "issue:29159|issue:36032", + "issue:43388|issue:45059", + "issue:45406|issue:45464", + "issue:33357|issue:35707", + "issue:30064|issue:34634", + "issue:41720|issue:43746", + "issue:43606|issue:43720", + "issue:43550|issue:43653", + "issue:43873|issue:45704", + "issue:43421|issue:45701", + "issue:44492|issue:44509", + "issue:43606|issue:43653", + "issue:34634|issue:41720", + "issue:43531|issue:45759", + "issue:42490|issue:43329", + "issue:34567|issue:35707", + "issue:44514|issue:44545", + "issue:44625|issue:45479", + "issue:43421|issue:43927", + "issue:44898|issue:45072", + "issue:44451|issue:44991", + "issue:43782|issue:45381" + ], + "prepared_review_unit_hash": "9b55c0f519cab024e3e7f669471115564adfdb8336b3d7b08cca4866caf594a3", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36540, + "estimated_input_tokens": 9135, + "estimated_eval_tokens": 18526 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly heterogeneous cluster of issue reports across unrelated tokenizer, config, processor, loading, and training paths. The only clear duplicate pair in the packet is 44514/44545, which share the same title about `Qwen2_5_VLProcessor.apply_chat_template` crashing on batched input with `padding=False`.", + "confidence": 0.82, + "canonical_issue_reason": "44514 is the better canonical issue because it is the earlier of the exact title match with 44545.", + "canonical_pr_reason": null, + "best_issue_reason": "44514 is the strongest representative issue because it is the earlier exact duplicate pair in the cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43531", + "right": "issue:43572", + "accept": false, + "reason": "Different titles and model areas: Qwen3-MoE `sliding_window` vs StableLmConfig `pad_token_idx`." + }, + { + "left": "issue:43316", + "right": "issue:44913", + "accept": false, + "reason": "Both are config-related, but they describe different fields and different models." + }, + { + "left": "issue:43540", + "right": "issue:43782", + "accept": false, + "reason": "Both mention Qwen models, but one is about video input processing and the other about `from_pretrained` weight loading." + }, + { + "left": "issue:42915", + "right": "issue:43322", + "accept": false, + "reason": "Different model families and failure types: FineGrainedFP8Config vs loading Llava Next models." + }, + { + "left": "issue:43421", + "right": "issue:45812", + "accept": false, + "reason": "Tokenizer-related, but one is runtime post-processor updates and the other is a tokenizer loading regression for Granite models." + }, + { + "left": "issue:44186", + "right": "issue:44361", + "accept": false, + "reason": "Both are tokenizer issues, but the titles point to different tokenizer classes and different failures." + }, + { + "left": "issue:36331", + "right": "issue:41720", + "accept": false, + "reason": "Trainer loss-signature error vs auto device mapping CUDA assert are unrelated." + }, + { + "left": "issue:29159", + "right": "issue:36032", + "accept": false, + "reason": "Both are tokenizer issues, but one is slow/fast behavior inconsistency and the other is a T5Tokenizer load-time error." + }, + { + "left": "issue:43388", + "right": "issue:45059", + "accept": false, + "reason": "Different subsystems: metric gathering vs SAM3 text/bounding-box behavior." + }, + { + "left": "issue:45406", + "right": "issue:45464", + "accept": false, + "reason": "Different components and symptoms: Gemma4Processor missing `_tokenizer` vs Qwen3.5 streaming API failure." + }, + { + "left": "issue:33357", + "right": "issue:35707", + "accept": false, + "reason": "MacOS CLIP bus error vs progressive generation with `inputs_embeds`/`past_key_values` are separate issues." + }, + { + "left": "issue:30064", + "right": "issue:34634", + "accept": false, + "reason": "Different processors and modalities: segmentation maps vs Bark voice preset handling." + }, + { + "left": "issue:41720", + "right": "issue:43746", + "accept": false, + "reason": "CUDA assert during device mapping vs PEFT local checkpoint loading are distinct problems." + }, + { + "left": "issue:43606", + "right": "issue:43720", + "accept": false, + "reason": "Both involve loading/offloading, but the titles describe different model paths and failures." + }, + { + "left": "issue:43550", + "right": "issue:43653", + "accept": false, + "reason": "torch.compile/SDPA vs tokenizer special-token registration are unrelated." + }, + { + "left": "issue:43873", + "right": "issue:45704", + "accept": false, + "reason": "Quantization offloading vs T5/apex memory leak are different issues." + }, + { + "left": "issue:43421", + "right": "issue:45701", + "accept": false, + "reason": "Both relate to tokenization broadly, but one is runtime special-token updates and the other is a version-wide tokenization change report." + }, + { + "left": "issue:44492", + "right": "issue:44509", + "accept": false, + "reason": "A typo in cache strategies is unrelated to outdated pipeline task documentation." + }, + { + "left": "issue:43606", + "right": "issue:43653", + "accept": false, + "reason": "Device offload/loading mismatch vs tokenizer special-token bug are different code paths." + }, + { + "left": "issue:34634", + "right": "issue:41720", + "accept": false, + "reason": "Voice preset handling vs CUDA assert on auto device mapping are unrelated." + }, + { + "left": "issue:43531", + "right": "issue:45759", + "accept": false, + "reason": "Both mention Qwen3-family models, but the titles describe different config issues." + }, + { + "left": "issue:42490", + "right": "issue:43329", + "accept": false, + "reason": "Trailing-slash path warning is unrelated to multimodal token counting." + }, + { + "left": "issue:34567", + "right": "issue:35707", + "accept": false, + "reason": "TrainerState token counter vs progressive generation are different features." + }, + { + "left": "issue:44514", + "right": "issue:44545", + "accept": true, + "reason": "Same title and same reported crash condition for `Qwen2_5_VLProcessor.apply_chat_template` with batched input and `padding=False`." + }, + { + "left": "issue:44625", + "right": "issue:45479", + "accept": false, + "reason": "Different sequence-classification reports: `num_labels` propagation vs zero-loss behavior." + }, + { + "left": "issue:43421", + "right": "issue:43927", + "accept": false, + "reason": "Runtime tokenizer post-processing update vs save/load loss of custom token IDs are different metadata issues." + }, + { + "left": "issue:44898", + "right": "issue:45072", + "accept": false, + "reason": "Perceiver resolution failure vs bfloat16 dtype mismatch are unrelated." + }, + { + "left": "issue:44451", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer-loading regressions, but they refer to different models and titles." + }, + { + "left": "issue:43782", + "right": "issue:45381", + "accept": false, + "reason": "Qwen vision-language load error vs Qwen2.5-VL video position IDs issue are different." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall cluster summary is mostly grounded, but the justification is a bit too assertive for the packet. In particular, the reasons for 44514/44545 claim \"precise repro details\" and \"more detailed report\" without body text evidence; from the packet you can safely say they have the same title and 44514 is earlier. A few soft-edge reasons also infer specific root causes beyond what the titles support. Please keep the verdicts and reasons tighter to the observable metadata." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 14, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:30064", + "issue:36010", + "issue:39692", + "issue:40444", + "issue:41720", + "issue:42886", + "issue:43381", + "issue:43421", + "issue:43531", + "issue:43540", + "issue:43596", + "issue:43645", + "issue:43653", + "issue:43720", + "issue:43746", + "issue:43819", + "issue:43844", + "issue:43873", + "issue:43994", + "issue:44008", + "issue:44062", + "issue:44077", + "issue:44186", + "issue:44220", + "issue:44368", + "issue:44451", + "issue:44589", + "issue:44610", + "issue:44625", + "issue:44661", + "issue:44671", + "issue:44843", + "issue:44918", + "issue:44936", + "issue:44987", + "issue:45042", + "issue:45081", + "issue:45356", + "issue:45357", + "issue:45588", + "issue:45663", + "issue:45704", + "issue:45759", + "issue:45859", + "issue:45907", + "issue:45923", + "issue:46050" + ], + "soft_pairs": [ + "issue:44077|issue:44625", + "issue:45759|issue:45859", + "issue:43531|issue:44589", + "issue:44987|issue:45042", + "issue:44368|issue:45357", + "issue:44062|issue:44451", + "issue:45588|issue:45759", + "issue:43746|issue:46050", + "issue:39692|issue:44610", + "issue:45704|issue:45923", + "issue:44918|issue:44936", + "issue:43421|issue:43653", + "issue:45663|issue:45923", + "issue:43381|issue:43844", + "issue:42886|issue:44843", + "issue:43421|issue:44186", + "issue:45704|issue:45859", + "issue:43994|issue:44671", + "issue:43531|issue:43645", + "issue:41720|issue:45704", + "issue:43746|issue:43873", + "issue:45081|issue:45356", + "issue:39692|issue:43873", + "issue:40444|issue:43746", + "issue:43596|issue:44220", + "issue:45356|issue:45907", + "issue:30064|issue:36010", + "issue:43720|issue:43819", + "issue:44220|issue:44661", + "issue:43653|issue:43720", + "issue:43540|issue:44008" + ], + "prepared_review_unit_hash": "495696192fbb85804da218aaccc56383ae1c115a4c02541079891d64d1f32714", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "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 cluster is mostly heterogeneous model/tokenizer bugs. Only one soft duplicate looks plausible: the HF_HUB_OFFLINE tokenizer-loading regression pair.", + "confidence": 0.59, + "canonical_issue_reason": "issue:44843 is the most concrete, root-caused representative of the only plausible duplicate pair: it pinpoints the offline tokenizer failure to _patch_mistral_regex/model_info.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44843 is the best overall issue here because it is actionable, specific, and ties the symptom to a concrete code path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44077", + "right": "issue:44625", + "accept": false, + "reason": "Different problems: patchtsmixer post-init policy vs Qwen3.5 num_labels propagation." + }, + { + "left": "issue:45759", + "right": "issue:45859", + "accept": false, + "reason": "Different code paths: composite config unwrapping vs CPU offload rotary embedding compatibility." + }, + { + "left": "issue:43531", + "right": "issue:44589", + "accept": false, + "reason": "Unrelated failures: Qwen3-MoE sliding_window behavior vs Float8 storage lookup." + }, + { + "left": "issue:44987", + "right": "issue:45042", + "accept": false, + "reason": "Different subsystems and symptoms: loading a specific model vs PIL backend wrongly requiring torchvision." + }, + { + "left": "issue:44368", + "right": "issue:45357", + "accept": false, + "reason": "One is a warning about tied embeddings, the other is incorrect visual encoder keys on save_pretrained." + }, + { + "left": "issue:44062", + "right": "issue:44451", + "accept": false, + "reason": "Both are tokenizer-related, but one is an AddedToken argument error and the other is a model loading failure for ScandiBERT." + }, + { + "left": "issue:45588", + "right": "issue:45759", + "accept": false, + "reason": "Different issues: flash-attention sink handling vs from_config text_config unwrapping." + }, + { + "left": "issue:43746", + "right": "issue:46050", + "accept": false, + "reason": "Different load/save bugs: PEFT local checkpoint loading vs quantized model save_pretrained/from_pretrained behavior." + }, + { + "left": "issue:39692", + "right": "issue:44610", + "accept": false, + "reason": "Both mention processor/model mismatch, but they concern different models and different failure modes." + }, + { + "left": "issue:45704", + "right": "issue:45923", + "accept": false, + "reason": "Different topics: apex RMSNorm memory leak vs missing supports_gradient_checkpointing flag." + }, + { + "left": "issue:44918", + "right": "issue:44936", + "accept": false, + "reason": "Different trainer failures: SFT embedding unpacking vs evaluate-after-train behavior." + }, + { + "left": "issue:43421", + "right": "issue:43653", + "accept": false, + "reason": "Both touch special tokens, but one is a runtime post-processor update feature and the other is a BigBirdTokenizer CI bug." + }, + { + "left": "issue:45663", + "right": "issue:45923", + "accept": false, + "reason": "Different model internals: Gemma4 FSDP2 shared_kv_states bug vs a missing gradient-checkpointing capability flag." + }, + { + "left": "issue:43381", + "right": "issue:43844", + "accept": false, + "reason": "Not the same bug: eval-mode checkpointing restriction vs abnormal gradient growth under ZeRO-3." + }, + { + "left": "issue:42886", + "right": "issue:44843", + "accept": true, + "reason": "Both describe tokenizer loading failures in HF_HUB_OFFLINE mode; 44843 provides the concrete Mistral-regex/model_info root cause." + }, + { + "left": "issue:43421", + "right": "issue:44186", + "accept": false, + "reason": "Shared tokenization theme, but different bugs: dynamic special-token post-processing vs LayoutLMv2 NER/batching crashes." + }, + { + "left": "issue:45704", + "right": "issue:45859", + "accept": false, + "reason": "Different issues: T5 apex RMSNorm leak vs Qwen3_5MoeTextRotaryEmbedding CPU-offload compatibility." + }, + { + "left": "issue:43994", + "right": "issue:44671", + "accept": false, + "reason": "Different models and failure signatures: SigLIP2 nonsensical outputs vs CamemBERT masked LM regression." + }, + { + "left": "issue:43531", + "right": "issue:43645", + "accept": false, + "reason": "Different problems: Qwen3-MoE sliding_window handling vs custom model initialization in Jupyter notebooks." + }, + { + "left": "issue:41720", + "right": "issue:45704", + "accept": false, + "reason": "Different subsystems: Qwen3 auto device mapping CUDA assert vs T5 RMSNorm memory leak." + }, + { + "left": "issue:43746", + "right": "issue:43873", + "accept": false, + "reason": "Both involve loading/offloading, but one is PEFT checkpoint loading and the other is quantization offloading behavior." + }, + { + "left": "issue:45081", + "right": "issue:45356", + "accept": false, + "reason": "Related tokenizer regex area, but not clearly the same bug: one crashes on missing backend_tokenizer, the other is a codec/regression report." + }, + { + "left": "issue:39692", + "right": "issue:43873", + "accept": false, + "reason": "Different scopes: documentation/example errors vs quantization offloading behavior." + }, + { + "left": "issue:40444", + "right": "issue:43746", + "accept": false, + "reason": "Different model pipelines: multi-image IterableDataset fine-tuning vs PEFT local checkpoint loading." + }, + { + "left": "issue:43596", + "right": "issue:44220", + "accept": false, + "reason": "Completely different failures: Deepspeed ZeRO-3/BertModel indexing vs audio fbank extraction." + }, + { + "left": "issue:45356", + "right": "issue:45907", + "accept": false, + "reason": "Different areas: tokenizer codec/regression vs Hub API revision forwarding." + }, + { + "left": "issue:30064", + "right": "issue:36010", + "accept": false, + "reason": "Unrelated bugs: image processor segmentation-map handling vs GenerationMixin import error." + }, + { + "left": "issue:43720", + "right": "issue:43819", + "accept": false, + "reason": "Different code paths: accelerate loading of packed BitNet weights vs DAC.from_latents/STE mismatch." + }, + { + "left": "issue:44220", + "right": "issue:44661", + "accept": false, + "reason": "No clear overlap: fbank feature extraction vs add-new-model-like failing inside TOKENIZER_MAPPING_NAMES." + }, + { + "left": "issue:43653", + "right": "issue:43720", + "accept": false, + "reason": "Different tokenizer CI bug vs BitNet packed-weight loading bug." + }, + { + "left": "issue:43540", + "right": "issue:44008", + "accept": false, + "reason": "Different modalities and models: Qwen3OmniMoe video processing vs Gemma 3n audio_mel_mask name collision." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The assessment is conservative and well grounded in the packet. The only accepted soft pair, issue:42886 with issue:44843, is plausibly the same HF_HUB_OFFLINE tokenizer-loading regression, while the rest of the rejections are appropriately cautious given the differing titles and problem descriptions. No evidence of overstatement or mergeability issues." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 15, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:30064", + "issue:36331", + "issue:39692", + "issue:41720", + "issue:43295", + "issue:43322", + "issue:43335", + "issue:43388", + "issue:43421", + "issue:43531", + "issue:43540", + "issue:43550", + "issue:43577", + "issue:43618", + "issue:43643", + "issue:43653", + "issue:43697", + "issue:43716", + "issue:43756", + "issue:43782", + "issue:43818", + "issue:43819", + "issue:43950", + "issue:44008", + "issue:44062", + "issue:44186", + "issue:44442", + "issue:44448", + "issue:44488", + "issue:44671", + "issue:44811", + "issue:44821", + "issue:44843", + "issue:44877", + "issue:44898", + "issue:44977", + "issue:44991", + "issue:45072", + "issue:45081", + "issue:45084", + "issue:45183", + "issue:45381", + "issue:45479", + "issue:45584", + "issue:45685", + "issue:45834", + "issue:45987", + "issue:46032" + ], + "soft_pairs": [ + "issue:43618|issue:43697", + "issue:45183|issue:45479", + "issue:43550|issue:45072", + "issue:43295|issue:45834", + "issue:43550|issue:43819", + "issue:43388|issue:46032", + "issue:44062|issue:44488", + "issue:43716|issue:44008", + "issue:43322|issue:45685", + "issue:43335|issue:43756", + "issue:44186|issue:44898", + "issue:43653|issue:43819", + "issue:43531|issue:43643", + "issue:43950|issue:45987", + "issue:44843|issue:45081", + "issue:43643|issue:44877", + "issue:43540|issue:45381", + "issue:30064|issue:36331", + "issue:44448|issue:44671", + "issue:43421|issue:44811", + "issue:41720|issue:44991", + "issue:43577|issue:43818", + "issue:43782|issue:44977", + "issue:39692|issue:45834", + "issue:45584|issue:45834", + "issue:44821|issue:45084", + "issue:44186|issue:44442" + ], + "prepared_review_unit_hash": "622e4d1b4968df95fe761173a9cd5ee20abc46bbcf0f9191edb6b997ee9dbd50", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 36205, + "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 a loose mix of mostly unrelated transformer regressions and loading bugs. The soft links are mostly superficial (same tokenizer/processor/model-loading vocabulary) but the concrete failure paths, affected models, and code paths differ, so I would not merge any of them as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "Issue #44843 is the strongest representative to anchor this cluster because it has a concrete, reproducible tokenizer-loading regression with a clear root cause (`_patch_mistral_regex` / offline behavior) and broader relevance to the surrounding tokenizer/config loading reports.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue #44843 is the best single issue in the set because it is well-scoped, clearly described, and points to a specific code path that can be fixed and validated. The other issues are mostly separate bugs rather than duplicates of one another.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43618", + "right": "issue:43697", + "accept": false, + "reason": "Different bugs: CLIPOutput attentions assignment vs RTDetrV2 output drift in v5; separate models and code paths." + }, + { + "left": "issue:45183", + "right": "issue:45479", + "accept": false, + "reason": "One is an input validation/XOR error, the other is a zero-loss classification bug with `num_labels=1`; not the same underlying issue." + }, + { + "left": "issue:43550", + "right": "issue:45072", + "accept": false, + "reason": "Bamba `torch.compile`+SDPA failure and SwitchTransformers/TimmWrapper dtype mismatch are unrelated failures." + }, + { + "left": "issue:43295", + "right": "issue:45834", + "accept": false, + "reason": "Processor/tokenizer access regression vs Kosmos2.5 long-OCR index error; different models and failure modes." + }, + { + "left": "issue:43550", + "right": "issue:43819", + "accept": false, + "reason": "Bamba compile/SDPA bug is unrelated to DAC `from_latents` vs forward mismatch." + }, + { + "left": "issue:43388", + "right": "issue:46032", + "accept": false, + "reason": "`gather_for_metrics` last-batch label truncation and Mamba2 cache corruption are distinct issues." + }, + { + "left": "issue:44062", + "right": "issue:44488", + "accept": false, + "reason": "`AddedToken(special=...)` argument collision is a tokenizer API bug, while `sleng-bert` is a separate model-loading failure." + }, + { + "left": "issue:43716", + "right": "issue:44008", + "accept": false, + "reason": "BLIP/Mistral image-preprocessor dtype mismatch vs Gemma3n variable-name collision in forward; different root causes." + }, + { + "left": "issue:43322", + "right": "issue:45685", + "accept": false, + "reason": "Llava Next load segfault and MPS histogram-on-Int error are unrelated model/runtime bugs." + }, + { + "left": "issue:43335", + "right": "issue:43756", + "accept": false, + "reason": "SwitchTransformers sparse-layer config bug is not the same as Smollm3 RoPE-layer dropping." + }, + { + "left": "issue:44186", + "right": "issue:44898", + "accept": false, + "reason": "LayoutLMv2 tokenizer crash on NER/padding and Perceiver interpolation failure are separate bugs." + }, + { + "left": "issue:43653", + "right": "issue:43819", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and DAC latent/forward mismatch do not share the same code path." + }, + { + "left": "issue:43531", + "right": "issue:43643", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and `trust_remote_code` config field loss are unrelated." + }, + { + "left": "issue:43950", + "right": "issue:45987", + "accept": false, + "reason": "Non-persistent buffer corruption on `from_pretrained` is different from `StaticCache.get_seq_length()` returning a tensor." + }, + { + "left": "issue:44843", + "right": "issue:45081", + "accept": false, + "reason": "Both involve Mistral tokenizer patching, but one is an unconditional `model_info()` offline regression and the other is a missing `backend_tokenizer` attribute; not the same bug." + }, + { + "left": "issue:43643", + "right": "issue:44877", + "accept": false, + "reason": "`trust_remote_code` missing fields and strict config blocking `granite_speech` are different configuration-loading problems." + }, + { + "left": "issue:43540", + "right": "issue:45381", + "accept": false, + "reason": "Qwen3OmniMoe video-input ValueError and qwen2.5-vl video position-id bug affect different models and logic." + }, + { + "left": "issue:30064", + "right": "issue:36331", + "accept": false, + "reason": "Image processor void-segmentation failure and `CustomTrainer.compute_loss()` signature mismatch are completely unrelated." + }, + { + "left": "issue:44448", + "right": "issue:44671", + "accept": false, + "reason": "Pegasus v4/v5 output drift and CamemBERT masked-LM regression are separate model-specific bugs." + }, + { + "left": "issue:43421", + "right": "issue:44811", + "accept": false, + "reason": "Runtime post-processor updates for special tokens and Whisper `batch_decode()` ignoring `skip_special_tokens` are different tokenizer/processor issues." + }, + { + "left": "issue:41720", + "right": "issue:44991", + "accept": false, + "reason": "Qwen3 auto-device-map CUDA assert and tokenizer-loading failure for `est-roberta` are unrelated." + }, + { + "left": "issue:43577", + "right": "issue:43818", + "accept": false, + "reason": "BLIP2 dtype propagation and Video-LLaVA temporal-attention/weight-sharing issues are distinct." + }, + { + "left": "issue:43782", + "right": "issue:44977", + "accept": false, + "reason": "Qwen3VL `weight_only=True` loading error and Qwen3.5 flash-attention generation failure are different concrete problems." + }, + { + "left": "issue:39692", + "right": "issue:45834", + "accept": false, + "reason": "SigLIP2 documentation example errors are documentation/usage issues, not the same as Kosmos2.5 OCR index failure." + }, + { + "left": "issue:45584", + "right": "issue:45834", + "accept": false, + "reason": "Whisper empty transcription after `align_special_tokens` and Kosmos2.5 OCR index error are unrelated." + }, + { + "left": "issue:44821", + "right": "issue:45084", + "accept": false, + "reason": "AutoImageProcessor URL loading and a template-node compile error do not share an underlying bug." + }, + { + "left": "issue:44186", + "right": "issue:44442", + "accept": false, + "reason": "LayoutLMv2 tokenizer crash and AutoTokenizer failing to load FastSpeech2ConformerTokenizer are separate tokenizer 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": 17, + "review_unit_index": 16, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28218", + "issue:29159", + "issue:34634", + "issue:36010", + "issue:36331", + "issue:42175", + "issue:43262", + "issue:43526", + "issue:43577", + "issue:43582", + "issue:43606", + "issue:43644", + "issue:43650", + "issue:43653", + "issue:43697", + "issue:43720", + "issue:43742", + "issue:43749", + "issue:43782", + "issue:43819", + "issue:43825", + "issue:43827", + "issue:43906", + "issue:43994", + "issue:44060", + "issue:44291", + "issue:44368", + "issue:44479", + "issue:44485", + "issue:44509", + "issue:44554", + "issue:44561", + "issue:44610", + "issue:44671", + "issue:44805", + "issue:44857", + "issue:44912", + "issue:44936", + "issue:45020", + "issue:45072", + "issue:45081", + "issue:45325", + "issue:45406", + "issue:45701", + "issue:45834", + "issue:45987", + "issue:46192" + ], + "soft_pairs": [ + "issue:43644|issue:43749", + "issue:44561|issue:45020", + "issue:43606|issue:45072", + "issue:44479|issue:45834", + "issue:43825|issue:43994", + "issue:34634|issue:36010", + "issue:43577|issue:43582", + "issue:44805|issue:44936", + "issue:45987|issue:46192", + "issue:44485|issue:44509", + "issue:44671|issue:45701", + "issue:43825|issue:43827", + "issue:28218|issue:29159", + "issue:44610|issue:45072", + "issue:43720|issue:45072", + "issue:43782|issue:45325", + "issue:42175|issue:45081", + "issue:43749|issue:44291", + "issue:45081|issue:45406", + "issue:43582|issue:44857", + "issue:43262|issue:43819", + "issue:43650|issue:43906", + "issue:43526|issue:43697", + "issue:34634|issue:36331", + "issue:44060|issue:44368", + "issue:43653|issue:44912", + "issue:43742|issue:45020", + "issue:43526|issue:44554" + ], + "prepared_review_unit_hash": "774763107c560c200136fac80cb8173d70108106852d730265213758465b7f0f", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 28, + "serialized_chars": 35776, + "estimated_input_tokens": 8944, + "estimated_eval_tokens": 18144 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issue cluster spanning many distinct regressions. The only strong duplicate candidate is the tokenizer added-token spacing vs slow/fast tokenizer inconsistency pair; the rest are separate model, loading, docs, or runtime bugs.", + "confidence": 0.58, + "canonical_issue_reason": "issue:28218 is the most specific and concrete report of the tokenizer added-token spacing regression, and it plausibly anchors the only true duplicate-style pair in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:28218 is the best global issue anchor because it is specific, symptom-focused, and the clearest duplicate target among the tokenizer-related items.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43644", + "right": "issue:43749", + "accept": false, + "reason": "Both concern loading/runtime behavior, but one is junk non-persistent buffers and the other is FSDP CPU RAM-efficient loading; different bugs and code paths." + }, + { + "left": "issue:44561", + "right": "issue:45020", + "accept": false, + "reason": "Both mention remote_code breakage in v5, but they describe different failure modes and likely different underlying compatibility issues." + }, + { + "left": "issue:43606", + "right": "issue:45072", + "accept": false, + "reason": "Different models and different mismatch classes (device offload vs dtype/bfloat16); too broad to be the same fix." + }, + { + "left": "issue:44479", + "right": "issue:45834", + "accept": false, + "reason": "Separate model-specific input regressions: video input handling for Qwen VL variants versus OCR index errors in Kosmos2.5." + }, + { + "left": "issue:43825", + "right": "issue:43994", + "accept": false, + "reason": "One is an error-message/docs issue about removed translation tasks; the other is a model output quality regression. Not the same bug." + }, + { + "left": "issue:34634", + "right": "issue:36010", + "accept": false, + "reason": "BarkProcessor voice_preset failure and GenerationMixin import failure are unrelated." + }, + { + "left": "issue:43577", + "right": "issue:43582", + "accept": false, + "reason": "Blip2 dtype propagation and Apple Silicon caching allocator warmup TypeError are unrelated runtime problems." + }, + { + "left": "issue:44805", + "right": "issue:44936", + "accept": false, + "reason": "Mask/index shape mismatch in tensor ops versus trainer evaluate-after-train failure; no shared concrete code path." + }, + { + "left": "issue:45987", + "right": "issue:46192", + "accept": false, + "reason": "StaticCache return type contract and text_kwargs/return_tensors handling are different API bugs." + }, + { + "left": "issue:44485", + "right": "issue:44509", + "accept": false, + "reason": "One is a RoPE implementation discussion, the other is docs referencing removed pipeline tasks; different issues." + }, + { + "left": "issue:44671", + "right": "issue:45701", + "accept": false, + "reason": "CamemBERT masked-LM regression and a broad tokenization-version complaint are not the same underlying defect." + }, + { + "left": "issue:43825", + "right": "issue:43827", + "accept": false, + "reason": "Both relate to v5 pipeline removals, but one is an error message and the other is docs drift; separate fixes." + }, + { + "left": "issue:28218", + "right": "issue:29159", + "accept": true, + "reason": "Both describe the same tokenizer added-token spacing inconsistency, likely the same slow-vs-fast tokenizer bug." + }, + { + "left": "issue:44610", + "right": "issue:45072", + "accept": false, + "reason": "OmDet-Turbo processor input-size mismatch and dtype mismatch in other models are unrelated." + }, + { + "left": "issue:43720", + "right": "issue:45072", + "accept": false, + "reason": "BitNet packed-weight loading and dtype mismatch inference are different failure modes." + }, + { + "left": "issue:43782", + "right": "issue:45325", + "accept": false, + "reason": "Different Qwen VL issues with different symptoms and likely different fixes." + }, + { + "left": "issue:42175", + "right": "issue:45081", + "accept": false, + "reason": "Package/backend dependency omission is unrelated to a Mistral tokenizer regex crash." + }, + { + "left": "issue:43749", + "right": "issue:44291", + "accept": false, + "reason": "FSDP CPU RAM-efficient loading and init_empty_weights/_is_hf_initialized are distinct loading bugs." + }, + { + "left": "issue:45081", + "right": "issue:45406", + "accept": false, + "reason": "Tokenizer backend regex crash and Gemma4Processor missing _tokenizer are separate processor/tokenizer initialization problems." + }, + { + "left": "issue:43582", + "right": "issue:44857", + "accept": false, + "reason": "Apple Silicon warmup TypeError and CUDA float16 loss crash are unrelated platform-specific bugs." + }, + { + "left": "issue:43262", + "right": "issue:43819", + "accept": false, + "reason": "Audio chat-template sampling-rate defaulting and DAC.from_latents STE mismatch are different subsystems and symptoms." + }, + { + "left": "issue:43650", + "right": "issue:43906", + "accept": false, + "reason": "Placeholder issue text and an isolated reproduction of another bug are not duplicates." + }, + { + "left": "issue:43526", + "right": "issue:43697", + "accept": false, + "reason": "BeitImageProcessorFast reduce_labels and RTDetrV2 output drift are different model/data-processing bugs." + }, + { + "left": "issue:34634", + "right": "issue:36331", + "accept": false, + "reason": "BarkProcessor voice_preset and CustomTrainer.compute_loss signature mismatch are unrelated." + }, + { + "left": "issue:44060", + "right": "issue:44368", + "accept": false, + "reason": "Both mention tied-weights warnings, but one is a Qwen3-Next incorrect tying bug and the other is a LoRA warning nuisance; not the same concrete issue." + }, + { + "left": "issue:43653", + "right": "issue:44912", + "accept": false, + "reason": "BigBirdTokenizer special-token decoding and MXFP4 quantization fallback are unrelated." + }, + { + "left": "issue:43742", + "right": "issue:45020", + "accept": false, + "reason": "KeyError on MobileLLM loading and broad remote_code breakage are not the same specific bug." + }, + { + "left": "issue:43526", + "right": "issue:44554", + "accept": false, + "reason": "BeitImageProcessorFast label reduction and MPS attention correctness are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The analysis is grounded in the packet and stays conservative on the soft edges. The only accepted pair, issue:28218 vs issue:29159, is a plausible tokenizer duplicate based on the titles, and the rest are reasonably separated by symptom/code path. The summary does not overstate evidence." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 17, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:29159", + "issue:34567", + "issue:36010", + "issue:36331", + "issue:38175", + "issue:39692", + "issue:40990", + "issue:42490", + "issue:43257", + "issue:43262", + "issue:43329", + "issue:43450", + "issue:43452", + "issue:43454", + "issue:43531", + "issue:43550", + "issue:43577", + "issue:43606", + "issue:43638", + "issue:43643", + "issue:43645", + "issue:43696", + "issue:43720", + "issue:43746", + "issue:43749", + "issue:43819", + "issue:43854", + "issue:43927", + "issue:43931", + "issue:44479", + "issue:44568", + "issue:44589", + "issue:44610", + "issue:44756", + "issue:44811", + "issue:44912", + "issue:44936", + "issue:44977", + "issue:44991", + "issue:45042", + "issue:45084", + "issue:45356", + "issue:45459", + "issue:45538", + "issue:45600", + "issue:45759", + "issue:45803", + "issue:45859" + ], + "soft_pairs": [ + "issue:45084|issue:45538", + "issue:43329|issue:45600", + "issue:43746|issue:44811", + "issue:44589|issue:45042", + "issue:43452|issue:44991", + "issue:43638|issue:44936", + "issue:43550|issue:44912", + "issue:45459|issue:45803", + "issue:43819|issue:43927", + "issue:36010|issue:43645", + "issue:43257|issue:43329", + "issue:43854|issue:44977", + "issue:39692|issue:44912", + "issue:38175|issue:44610", + "issue:43720|issue:44610", + "issue:36010|issue:36331", + "issue:43454|issue:43577", + "issue:43531|issue:45042", + "issue:43262|issue:44811", + "issue:43257|issue:43696", + "issue:42490|issue:43257", + "issue:43329|issue:44479", + "issue:43643|issue:45759", + "issue:43749|issue:44756", + "issue:43329|issue:43450", + "issue:43606|issue:45859", + "issue:34567|issue:40990", + "issue:44568|issue:45356", + "issue:43257|issue:43931", + "issue:29159|issue:34567" + ], + "prepared_review_unit_hash": "33c530de1100908d00b417d38048a713fe989b9bfcedc317d310b1cac34a0e9f", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36933, + "estimated_input_tokens": 9234, + "estimated_eval_tokens": 18724 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: tokenizer, trainer, loading, multimodal, quantization, and model-specific bugs are all mixed together. None of the soft pairs look like the same underlying defect or change, so they should all remain separate.", + "confidence": 0.98, + "canonical_issue_reason": "Issue 43329 is the most concrete code-path bug report in the set and is broad enough to serve as an anchor if a single issue must be chosen, but the cluster itself is not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43329 is the strongest standalone issue: it names a specific failing branch, concrete undefined variables, and a clear reproduction surface across multiple VLM processors.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45084", + "right": "issue:45538", + "accept": false, + "reason": "Different problems: template compilation error vs tokenizer max_length configuration." + }, + { + "left": "issue:43329", + "right": "issue:45600", + "accept": false, + "reason": "Multimodal token counting bug vs stale auto_mappings reference; unrelated code paths." + }, + { + "left": "issue:43746", + "right": "issue:44811", + "accept": false, + "reason": "Local PEFT checkpoint loading vs Whisper batch_decode skip_special_tokens behavior." + }, + { + "left": "issue:44589", + "right": "issue:45042", + "accept": false, + "reason": "Storage lookup/type issue vs PIL backend dependency regression; not the same bug." + }, + { + "left": "issue:43452", + "right": "issue:44991", + "accept": false, + "reason": "gguf_file loading breakage vs tokenizer loading failure for a specific model." + }, + { + "left": "issue:43638", + "right": "issue:44936", + "accept": false, + "reason": "DeepSpeed Zero3 index error vs trainer.evaluate() failure after train()." + }, + { + "left": "issue:43550", + "right": "issue:44912", + "accept": false, + "reason": "torch.compile/SDPA failure in Bamba vs MXFP4 quantization fallback in gpt-oss." + }, + { + "left": "issue:45459", + "right": "issue:45803", + "accept": false, + "reason": "Exception handling around protobuf decode vs bare except in Fuyu tensor conversion." + }, + { + "left": "issue:43819", + "right": "issue:43927", + "accept": false, + "reason": "DAC latent/from-forward mismatch vs DiaConfig save/load token ID loss." + }, + { + "left": "issue:36010", + "right": "issue:43645", + "accept": false, + "reason": "GenerationMixin import error vs Jupyter custom model initialization regression." + }, + { + "left": "issue:43257", + "right": "issue:43329", + "accept": false, + "reason": "Qwen3 MoE weight conversion/loading issue vs multimodal token counting video-branch bug." + }, + { + "left": "issue:43854", + "right": "issue:44977", + "accept": false, + "reason": "Unit test load failure for GLM-4.7-Flash vs Qwen3.5 flash-attention generation bug." + }, + { + "left": "issue:39692", + "right": "issue:44912", + "accept": false, + "reason": "SigLIP2 docs example errors vs quantization fallback/loading issue; different surfaces." + }, + { + "left": "issue:38175", + "right": "issue:44610", + "accept": false, + "reason": "Unexpected zero probabilities in SigLIP2 vs OmDet-Turbo processor/model input size mismatch." + }, + { + "left": "issue:43720", + "right": "issue:44610", + "accept": false, + "reason": "BitNet packed-weight unpacking during accelerate loading vs OmDet-Turbo shape/size mismatch." + }, + { + "left": "issue:36010", + "right": "issue:36331", + "accept": false, + "reason": "ImportError for GenerationMixin vs custom trainer compute_loss signature mismatch." + }, + { + "left": "issue:43454", + "right": "issue:43577", + "accept": false, + "reason": "AyaVision lm_head tying bug vs Blip2 dtype propagation problem." + }, + { + "left": "issue:43531", + "right": "issue:45042", + "accept": false, + "reason": "Qwen3-MoE sliding_window issue vs PIL image processor torchvision dependency regression." + }, + { + "left": "issue:43262", + "right": "issue:44811", + "accept": false, + "reason": "Audio chat template sampling-rate default vs Whisper batch_decode special-token handling." + }, + { + "left": "issue:43257", + "right": "issue:43696", + "accept": false, + "reason": "MoE weight conversion/loading vs plain CUDA OOM on GPT-oss-20b." + }, + { + "left": "issue:42490", + "right": "issue:43257", + "accept": false, + "reason": "Trailing-slash local path warning/loading issue vs Qwen3 MoE accelerate/deepspeed weight conversion." + }, + { + "left": "issue:43329", + "right": "issue:44479", + "accept": false, + "reason": "Undefined video token-counting branch variables vs v5.3.0 video input regression across Qwen VL models." + }, + { + "left": "issue:43643", + "right": "issue:45759", + "accept": false, + "reason": "trust_remote_code config field loss vs from_config not unwrapping text_config in multimodal Qwen configs." + }, + { + "left": "issue:43749", + "right": "issue:44756", + "accept": false, + "reason": "FSDP CPU RAM efficient loading regression vs mmap/OOM issue on Strix Halo." + }, + { + "left": "issue:43329", + "right": "issue:43450", + "accept": false, + "reason": "Video token counting bug vs batched video processor output shape bug; separate failures." + }, + { + "left": "issue:43606", + "right": "issue:45859", + "accept": false, + "reason": "CPU offload device mismatch in Bark vs Qwen3_5 MoE rotary embedding CPU-offload incompatibility." + }, + { + "left": "issue:34567", + "right": "issue:40990", + "accept": false, + "reason": "TrainerState token counter not updating vs extremely high perplexity on GPT-oss-20b." + }, + { + "left": "issue:44568", + "right": "issue:45356", + "accept": false, + "reason": "add_special_tokens BOS/EOS regression vs Kimi-K2.5 tokenizer codec/warning regression." + }, + { + "left": "issue:43257", + "right": "issue:43931", + "accept": false, + "reason": "Qwen3 MoE loading/conversion issue vs Qwen3-VL-30B-A3B weight shape mismatch." + }, + { + "left": "issue:29159", + "right": "issue:34567", + "accept": false, + "reason": "Tokenizer slow/fast inconsistency vs TrainerState num_input_tokens_seen not updating." + } + ] + }, + "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": 17, + "review_unit_index": 18, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:24643", + "issue:28282", + "issue:29127", + "issue:29159", + "issue:33357", + "issue:34567", + "issue:34689", + "issue:38175", + "issue:41720", + "issue:42175", + "issue:42915", + "issue:43257", + "issue:43317", + "issue:43452", + "issue:43540", + "issue:43577", + "issue:43582", + "issue:43697", + "issue:43742", + "issue:43749", + "issue:43756", + "issue:43782", + "issue:43824", + "issue:43906", + "issue:43927", + "issue:44062", + "issue:44291", + "issue:44479", + "issue:44488", + "issue:44560", + "issue:44568", + "issue:44821", + "issue:44849", + "issue:44898", + "issue:44912", + "issue:44987", + "issue:44991", + "issue:45042", + "issue:45072", + "issue:45137", + "issue:45357", + "issue:45381", + "issue:45405", + "issue:45488", + "issue:45538", + "issue:45701", + "issue:45907" + ], + "soft_pairs": [ + "issue:44849|issue:45701", + "issue:42915|issue:43742", + "issue:44291|issue:45042", + "issue:44568|issue:45488", + "issue:42915|issue:44821", + "issue:41720|issue:43540", + "issue:44987|issue:45538", + "issue:43697|issue:45357", + "issue:43452|issue:43582", + "issue:44479|issue:45381", + "issue:43927|issue:44912", + "issue:42915|issue:45538", + "issue:33357|issue:34567", + "issue:43540|issue:44479", + "issue:42175|issue:43824", + "issue:43540|issue:44560", + "issue:43317|issue:45538", + "issue:44987|issue:45907", + "issue:44062|issue:44991", + "issue:24643|issue:29159", + "issue:45137|issue:45405", + "issue:43257|issue:43756", + "issue:28282|issue:34689", + "issue:43577|issue:45072", + "issue:43742|issue:44291", + "issue:42175|issue:44488", + "issue:42915|issue:43749", + "issue:28282|issue:29127", + "issue:38175|issue:44898", + "issue:43582|issue:43782", + "issue:43906|issue:45381" + ], + "prepared_review_unit_hash": "b0a2169d4bbc8f35e2753d6cb879268338d312caa0d8fdf6fb2674303f1f777c", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 36414, + "estimated_input_tokens": 9104, + "estimated_eval_tokens": 18464 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issues across different subsystems and models. Only one soft pair looks like the same underlying bug: the Qwen video-input regression around qwen2.5-vl/qwen3-vl position handling.", + "confidence": 0.82, + "canonical_issue_reason": "issue:45488 is the strongest canonical representative here: it has the most concrete tokenizer regression description, good discussion/inbound references, and a broad downstream impact on DeepSeek V3/R1 loading behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45488 is the best single issue to anchor the set because it is specific enough to be actionable yet broad enough to represent the tokenizer regression theme better than the more generic or narrower alternatives.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44849", + "right": "issue:45701", + "accept": false, + "reason": "Different problems: hidden-states output bug in Qwen3.5 vs a broad tokenization-change report." + }, + { + "left": "issue:42915", + "right": "issue:43742", + "accept": false, + "reason": "Different models and failures: Qwen3Moe FP8 loading vs MobileLLM key error." + }, + { + "left": "issue:44291", + "right": "issue:45042", + "accept": false, + "reason": "Different code paths: init_empty_weights argument handling vs PIL image processor torchvision dependency." + }, + { + "left": "issue:44568", + "right": "issue:45488", + "accept": false, + "reason": "Both tokenizer regressions, but on different tokenizers and mechanisms; not the same concrete bug." + }, + { + "left": "issue:42915", + "right": "issue:44821", + "accept": false, + "reason": "Unrelated: FP8 model loading vs AutoImageProcessor URL loading." + }, + { + "left": "issue:41720", + "right": "issue:43540", + "accept": false, + "reason": "Different subsystems: auto device mapping cuda assert vs video input parsing in Qwen3OmniMoe." + }, + { + "left": "issue:44987", + "right": "issue:45538", + "accept": false, + "reason": "Different bugs: model load regression for a specific repo vs CLIPTokenizer max_length behavior." + }, + { + "left": "issue:43697", + "right": "issue:45357", + "accept": false, + "reason": "Different issues: RTDetrV2 output drift vs incorrect visual encoder keys on save_pretrained." + }, + { + "left": "issue:43452", + "right": "issue:43582", + "accept": false, + "reason": "Unrelated: gguf_file tokenizer/model loading breakage vs Apple Silicon allocator TypeError." + }, + { + "left": "issue:44479", + "right": "issue:45381", + "accept": true, + "reason": "45381 is a concrete narrower instance of the same Qwen2.5-VL/Qwen3-VL video-input position regression described broadly in 44479." + }, + { + "left": "issue:43927", + "right": "issue:44912", + "accept": false, + "reason": "Different bugs: DiaConfig save/load token IDs vs MXFP4 quantization falling back to bf16." + }, + { + "left": "issue:42915", + "right": "issue:45538", + "accept": false, + "reason": "Different failure modes: Qwen3Moe FP8 loading vs CLIPTokenizer model_max_length behavior." + }, + { + "left": "issue:33357", + "right": "issue:34567", + "accept": false, + "reason": "Unrelated: Mac bus error with CLIP model vs TrainerState token-count tracking." + }, + { + "left": "issue:43540", + "right": "issue:44479", + "accept": false, + "reason": "Both mention video inputs, but they involve different Qwen model families and likely different failures." + }, + { + "left": "issue:42175", + "right": "issue:43824", + "accept": false, + "reason": "Different problems: packaging backend contents vs missing import/export for Qwen2_5_VL class." + }, + { + "left": "issue:43540", + "right": "issue:44560", + "accept": false, + "reason": "Different Qwen video bugs with different symptoms and model variants; not clearly the same underlying defect." + }, + { + "left": "issue:43317", + "right": "issue:45538", + "accept": false, + "reason": "Unrelated: dequantized model offload loading vs tokenizer max_length default." + }, + { + "left": "issue:44987", + "right": "issue:45907", + "accept": false, + "reason": "Different scopes: model loading regression vs list_repo_files not forwarding revision." + }, + { + "left": "issue:44062", + "right": "issue:44991", + "accept": false, + "reason": "Both tokenizer-related, but one is an AddedToken TypeError and the other is a model-specific tokenizer load failure." + }, + { + "left": "issue:24643", + "right": "issue:29159", + "accept": false, + "reason": "Unrelated: DeepSpeed training weight shape error vs tokenizer slow/fast inconsistency." + }, + { + "left": "issue:45137", + "right": "issue:45405", + "accept": false, + "reason": "Different bugs: ZeRO3 deque error vs PEFT version pin mismatch." + }, + { + "left": "issue:43257", + "right": "issue:43756", + "accept": false, + "reason": "Different model-specific loading/configuration issues with no clear shared code-path." + }, + { + "left": "issue:28282", + "right": "issue:34689", + "accept": false, + "reason": "Different failures: missing PyTorch dependency detection vs Llama 3.2 vision model loading regression." + }, + { + "left": "issue:43577", + "right": "issue:45072", + "accept": false, + "reason": "Both are dtype-related, but they affect different models and inference paths." + }, + { + "left": "issue:43742", + "right": "issue:44291", + "accept": false, + "reason": "Different issues: MobileLLM key error vs init_empty_weights argument mismatch." + }, + { + "left": "issue:42175", + "right": "issue:44488", + "accept": false, + "reason": "Unrelated: packaging/backends issue vs a specific model loading failure." + }, + { + "left": "issue:42915", + "right": "issue:43749", + "accept": false, + "reason": "Different topics: Qwen3Moe FP8 load failure vs FSDP CPU RAM efficient loading breakage." + }, + { + "left": "issue:28282", + "right": "issue:29127", + "accept": false, + "reason": "Unrelated: PyTorch import availability vs LayoutLMv3 error-message clarity." + }, + { + "left": "issue:38175", + "right": "issue:44898", + "accept": false, + "reason": "Different vision-model bugs affecting different architectures and failure modes." + }, + { + "left": "issue:43582", + "right": "issue:43782", + "accept": false, + "reason": "Unrelated: Apple Silicon allocator TypeError vs Qwen3VL weight_only load error." + }, + { + "left": "issue:43906", + "right": "issue:45381", + "accept": false, + "reason": "One is a reproduction of an older issue; the other is a Qwen2.5-VL video regression. No clear identity." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet, and the only accepted soft pair (44479/45381) is plausibly the same Qwen video-position regression. The other pair verdicts stay conservative and do not overclaim shared bugs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 19, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:24643", + "issue:29127", + "issue:34567", + "issue:36331", + "issue:41762", + "issue:43404", + "issue:43452", + "issue:43493", + "issue:43526", + "issue:43531", + "issue:43540", + "issue:43643", + "issue:43697", + "issue:43720", + "issue:43742", + "issue:43756", + "issue:43906", + "issue:43994", + "issue:44062", + "issue:44291", + "issue:44488", + "issue:44514", + "issue:44589", + "issue:44625", + "issue:44737", + "issue:44792", + "issue:44821", + "issue:44877", + "issue:44898", + "issue:44913", + "issue:44936", + "issue:44964", + "issue:45042", + "issue:45081", + "issue:45216", + "issue:45325", + "issue:45357", + "issue:45375", + "issue:45381", + "issue:45405", + "issue:45479", + "issue:45588", + "issue:45600", + "issue:45823", + "issue:45920", + "issue:45987", + "issue:46121", + "issue:46202" + ], + "soft_pairs": [ + "issue:43404|issue:45987", + "issue:43540|issue:45823", + "issue:44737|issue:45588", + "issue:43526|issue:45479", + "issue:43493|issue:43994", + "issue:43756|issue:45325", + "issue:34567|issue:36331", + "issue:44291|issue:44821", + "issue:44913|issue:46121", + "issue:44062|issue:45081", + "issue:44792|issue:44964", + "issue:45357|issue:45920", + "issue:45042|issue:45081", + "issue:43452|issue:44488", + "issue:43742|issue:44589", + "issue:43643|issue:45375", + "issue:43531|issue:44821", + "issue:45405|issue:45600", + "issue:44625|issue:44877", + "issue:43906|issue:46202", + "issue:43697|issue:45216", + "issue:24643|issue:29127", + "issue:43720|issue:44898", + "issue:44514|issue:45381", + "issue:41762|issue:44936" + ], + "prepared_review_unit_hash": "518680f915b0a45b577964f2a57622934f63cc814f770a9d7f5997c92d8b2817", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 25, + "serialized_chars": 35642, + "estimated_input_tokens": 8911, + "estimated_eval_tokens": 18078 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated transformer bugs were grouped together; only the SigLIP2 pair looks like a true duplicate/root-cause match. The rest share broad subsystems or model families but not the same concrete failure mode.", + "confidence": 0.69, + "canonical_issue_reason": "issue:43493 is the clearest root-cause bug report in the cluster: it describes the SigLIP2 implementation mismatch itself, while issue:43994 reads like a downstream symptom of that same problem. The other items are too heterogeneous to serve as a better canonical for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43493 is the best representative issue because it states the underlying implementation discrepancy directly and is broad enough to subsume the more user-facing nonsensical-output report in issue:43994.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43404", + "right": "issue:45987", + "accept": false, + "reason": "Different bugs: tied-weight initialization in Mistral3 vs cache sequence-length return type/shape." + }, + { + "left": "issue:43540", + "right": "issue:45823", + "accept": false, + "reason": "Both are model-forward failures, but on unrelated code paths: Qwen3OmniMoe video input handling vs Gemma4 device-map mismatch." + }, + { + "left": "issue:44737", + "right": "issue:45588", + "accept": false, + "reason": "XLNet CPU tensor allocation bug and flash-attention sink handling are unrelated failures." + }, + { + "left": "issue:43526", + "right": "issue:45479", + "accept": false, + "reason": "BeitImageProcessorFast label reduction and sequence-classification zero-loss behavior are different layers and failure modes." + }, + { + "left": "issue:43493", + "right": "issue:43994", + "accept": true, + "reason": "Same underlying SigLIP2 correctness problem: one reports HF/JAX implementation divergence, the other reports the user-facing bad outputs caused by that divergence." + }, + { + "left": "issue:43756", + "right": "issue:45325", + "accept": false, + "reason": "Both mention RoPE/position ids, but they affect different models and different mechanics (Smollm3 layer usage vs Qwen2.5-VL temporal scaling)." + }, + { + "left": "issue:34567", + "right": "issue:36331", + "accept": false, + "reason": "TrainerState token accounting and CustomTrainer compute_loss signature compatibility are separate trainer bugs." + }, + { + "left": "issue:44291", + "right": "issue:44821", + "accept": false, + "reason": "Unexpected `_is_hf_initialized` during empty-weight loading is unrelated to loading an AutoImageProcessor from URL." + }, + { + "left": "issue:44913", + "right": "issue:46121", + "accept": false, + "reason": "Config reload dropping rotary_pct and rope-parameter validation on JSON-loaded lists are different config-path problems." + }, + { + "left": "issue:44062", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer AddedToken argument duplication is unrelated to the Mistral regex-patching backend_tokenizer crash." + }, + { + "left": "issue:44792", + "right": "issue:44964", + "accept": false, + "reason": "Different multimodal models and different failures: janus test generation vs Phi-4 multimodal loading." + }, + { + "left": "issue:45357", + "right": "issue:45920", + "accept": false, + "reason": "Qwen3.5 save_pretrained checkpoint-key corruption and broad AutoTokenizer token-ID regression are not the same bug." + }, + { + "left": "issue:45042", + "right": "issue:45081", + "accept": false, + "reason": "Image-processor torchvision dependency regression and Mistral tokenizer regex patching are unrelated." + }, + { + "left": "issue:43452", + "right": "issue:44488", + "accept": false, + "reason": "Both are model-loading complaints, but one is specifically gguf_file handling for tokenizer/CausalLM loading; the other is a separate model load failure without enough evidence of the same root cause." + }, + { + "left": "issue:43742", + "right": "issue:44589", + "accept": false, + "reason": "A key-error when loading MobileLLM and missing Float8 storage class are distinct loading/runtime failures." + }, + { + "left": "issue:43643", + "right": "issue:45375", + "accept": false, + "reason": "Missing fields from trust_remote_code AutoConfig and strict-dropping a specific Qwen3.5MoeVisionConfig field are not the same concrete issue." + }, + { + "left": "issue:43531", + "right": "issue:44821", + "accept": false, + "reason": "Sliding-window behavior in Qwen3-MoE and AutoImageProcessor URL loading are unrelated." + }, + { + "left": "issue:45405", + "right": "issue:45600", + "accept": false, + "reason": "Package version pinning for PEFT and stale auto_mappings references are different CI/release issues." + }, + { + "left": "issue:44625", + "right": "issue:44877", + "accept": false, + "reason": "num_labels propagation in Qwen3.5 and strict config loading for granite_speech are separate config bugs." + }, + { + "left": "issue:43906", + "right": "issue:46202", + "accept": false, + "reason": "The former is just a reproduction of issue 38071; the latter is a Gemma pipeline roundtrip bug with no clear evidence it is the same underlying issue." + }, + { + "left": "issue:43697", + "right": "issue:45216", + "accept": false, + "reason": "RTDetrV2 output drift and Qwen3.5 checkpoint save corruption are unrelated regressions." + }, + { + "left": "issue:24643", + "right": "issue:29127", + "accept": false, + "reason": "DeepSpeed training weight-shape runtime error and LayoutLMv3 box-clarity error message are different bugs." + }, + { + "left": "issue:43720", + "right": "issue:44898", + "accept": false, + "reason": "BitNet packed-weight loading failure and Perceiver interpolation failure are separate model-specific bugs." + }, + { + "left": "issue:44514", + "right": "issue:45381", + "accept": false, + "reason": "Both involve Qwen2.5-VL, but one is chat-template batching and the other is video position-id computation; they are not the same code-path failure." + }, + { + "left": "issue:41762", + "right": "issue:44936", + "accept": false, + "reason": "Gemma3 ZeRO-3 loading index error and trainer.evaluate-after-train failure are unrelated." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The cluster call is grounded in the packet and stays mostly conservative. The only accepted soft edge, issue:43493 vs issue:43994, is plausibly the same SigLIP2 root-cause/symptom pair from the titles, while the rest are reasonably rejected as distinct bugs or insufficiently supported links. The canonical issue choice is also defensible as the broader root-cause report." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 20, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28282", + "issue:29159", + "issue:30064", + "issue:32090", + "issue:33357", + "issue:33666", + "issue:35141", + "issue:38175", + "issue:41720", + "issue:43295", + "issue:43452", + "issue:43577", + "issue:43646", + "issue:43653", + "issue:43688", + "issue:43697", + "issue:43749", + "issue:43819", + "issue:43906", + "issue:43927", + "issue:44361", + "issue:44442", + "issue:44464", + "issue:44466", + "issue:44484", + "issue:44493", + "issue:44514", + "issue:44568", + "issue:44704", + "issue:44743", + "issue:44811", + "issue:44843", + "issue:44936", + "issue:44991", + "issue:45005", + "issue:45290", + "issue:45356", + "issue:45372", + "issue:45440", + "issue:45491", + "issue:45542", + "issue:45701", + "issue:45704", + "issue:45823", + "issue:46002", + "issue:46050", + "issue:46170", + "issue:46178" + ], + "soft_pairs": [ + "issue:45372|issue:46170", + "issue:43688|issue:43749", + "issue:45542|issue:46178", + "issue:43452|issue:44843", + "issue:44466|issue:45005", + "issue:43452|issue:43577", + "issue:44493|issue:46050", + "issue:43819|issue:44811", + "issue:44514|issue:45290", + "issue:44936|issue:45823", + "issue:30064|issue:33666", + "issue:43295|issue:45356", + "issue:44484|issue:44704", + "issue:28282|issue:32090", + "issue:43653|issue:44361", + "issue:44361|issue:44442", + "issue:28282|issue:33357", + "issue:44464|issue:44743", + "issue:38175|issue:43295", + "issue:28282|issue:35141", + "issue:41720|issue:43906", + "issue:45491|issue:46002", + "issue:43653|issue:44568", + "issue:43577|issue:43697", + "issue:43688|issue:45704", + "issue:44843|issue:44991", + "issue:43646|issue:43749", + "issue:43688|issue:45440", + "issue:29159|issue:33357", + "issue:43688|issue:45701", + "issue:43653|issue:43927" + ], + "prepared_review_unit_hash": "1d781ad054998710fb69225f2303ede736533f692f0d60c1ca6240ff87302dbc", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 37221, + "estimated_input_tokens": 9306, + "estimated_eval_tokens": 18868 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: tokenizer loading/serialization regressions, training/device-map bugs, model-specific numerical issues, and backend/dependency errors. I don\u2019t see any soft pair that is clearly the same underlying bug/change.", + "confidence": 0.78, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45701 is the broadest open report and has the most inbound references, so it is the closest thing to an umbrella issue here, but the cluster is too mixed for a true duplicate canonical.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45372", + "right": "issue:46170", + "accept": false, + "reason": "Both are import/dependency failures, but they stem from different packages and code paths (mistral_common ReasoningEffort vs torch.distributed on Windows/ROCm)." + }, + { + "left": "issue:43688", + "right": "issue:43749", + "accept": false, + "reason": "Aux-loss normalization and FSDP CPU RAM efficient loading are unrelated bugs in different subsystems." + }, + { + "left": "issue:45542", + "right": "issue:46178", + "accept": false, + "reason": "These are both backend-related, but one is a TensorBoard/TensorFlow availability issue and the other is a tensorflow_text backend mapping error." + }, + { + "left": "issue:43452", + "right": "issue:44843", + "accept": false, + "reason": "Both involve loading paths, but gguf_file breakage and the unconditional model_info() call in _patch_mistral_regex are different failures." + }, + { + "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 a broader translation-model tied-weights report without the same concrete code path." + }, + { + "left": "issue:43452", + "right": "issue:43577", + "accept": false, + "reason": "GGUF loading breakage and BLIP2 dtype staying float32 are unrelated." + }, + { + "left": "issue:44493", + "right": "issue:46050", + "accept": false, + "reason": "Unexpected position-id keys and NaNs in classification heads are different symptoms with no shared bug mechanism." + }, + { + "left": "issue:43819", + "right": "issue:44811", + "accept": false, + "reason": "DAC.from_latents mismatch and Whisper batch_decode skip_special_tokens handling are unrelated processor/model behaviors." + }, + { + "left": "issue:44514", + "right": "issue:45290", + "accept": false, + "reason": "Both hit apply_chat_template, but the triggering conditions differ: batched padding=False vs assistant tool-call messages with no content." + }, + { + "left": "issue:44936", + "right": "issue:45823", + "accept": false, + "reason": "trainer.evaluate() after train and Gemma4 PLE device mismatch under auto device_map are different bugs." + }, + { + "left": "issue:30064", + "right": "issue:33666", + "accept": false, + "reason": "Image segmentation-map processing and Qwen2-VL multi-GPU training are unrelated." + }, + { + "left": "issue:43295", + "right": "issue:45356", + "accept": false, + "reason": "These are different tokenizer/processor regressions affecting different models and code paths." + }, + { + "left": "issue:44484", + "right": "issue:44704", + "accept": false, + "reason": "A save_pretrained shard-size question and an AutoProcessor kwargs-passing bug are not the same issue." + }, + { + "left": "issue:28282", + "right": "issue:32090", + "accept": false, + "reason": "Missing PyTorch for AutoModel and a Trainer _gpu_broadcast_one NoneType TypeError are unrelated." + }, + { + "left": "issue:43653", + "right": "issue:44361", + "accept": false, + "reason": "Two tokenizer bugs, but on different tokenizers and different failure modes." + }, + { + "left": "issue:44361", + "right": "issue:44442", + "accept": false, + "reason": "MLukeTokenizer AttributeError and AutoTokenizer failing to load FastSpeech2ConformerTokenizer are separate loading/tokenization issues." + }, + { + "left": "issue:28282", + "right": "issue:33357", + "accept": false, + "reason": "Missing PyTorch import and a MacOS bus error on a CLIP model do not share a concrete root cause." + }, + { + "left": "issue:44464", + "right": "issue:44743", + "accept": false, + "reason": "Both concern generation/cache behavior, but chunked generation with compiled forward and Qwen3 recurrent-state resets are different code paths and models." + }, + { + "left": "issue:38175", + "right": "issue:43295", + "accept": false, + "reason": "Unexpected zero probabilities in SigLIP2 is unrelated to processor.tokenizer regressions in custom model code." + }, + { + "left": "issue:28282", + "right": "issue:35141", + "accept": false, + "reason": "A missing PyTorch import error is unrelated to embedding reinitialization in post_init." + }, + { + "left": "issue:41720", + "right": "issue:43906", + "accept": false, + "reason": "Qwen3 auto device mapping cudaErrorAssert and an isolated reproduction of another issue are not enough to establish the same bug." + }, + { + "left": "issue:45491", + "right": "issue:46002", + "accept": false, + "reason": "Both mention NaNs, but one is a Gemma3 sliding-window attention problem and the other is a classification-head init/checkpoint issue." + }, + { + "left": "issue:43653", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer special-token regressions, but they affect different tokenizers and likely different code paths." + }, + { + "left": "issue:43577", + "right": "issue:43697", + "accept": false, + "reason": "A dtype-loading bug in BLIP2 and an RTDetrV2 output divergence are unrelated." + }, + { + "left": "issue:43688", + "right": "issue:45704", + "accept": false, + "reason": "Aux-loss normalization and a T5/apex RMSNorm memory leak are different problems." + }, + { + "left": "issue:44843", + "right": "issue:44991", + "accept": false, + "reason": "Both are tokenizer-loading regressions, but one is offline model_info() behavior in _patch_mistral_regex and the other is a tokenizer load failure for EMBEDDIA/est-roberta." + }, + { + "left": "issue:43646", + "right": "issue:43749", + "accept": false, + "reason": "Custom model initialization breakage in v5 and FSDP CPU RAM efficient loading are unrelated." + }, + { + "left": "issue:43688", + "right": "issue:45440", + "accept": false, + "reason": "Aux-loss normalization and DeepseekV3MoE divergence from remote implementation are different bugs." + }, + { + "left": "issue:29159", + "right": "issue:33357", + "accept": false, + "reason": "Slow/fast tokenizer inconsistency and a MacOS CLIP bus error do not appear to share the same underlying defect." + }, + { + "left": "issue:43688", + "right": "issue:45701", + "accept": false, + "reason": "Aux-loss normalization and a generic tokenization-change report are unrelated." + }, + { + "left": "issue:43653", + "right": "issue:43927", + "accept": false, + "reason": "BigBirdTokenizer special-token registration and DiaConfig losing custom token IDs after save/load are different config/tokenizer persistence 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": 17, + "review_unit_index": 21, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28218", + "issue:32090", + "issue:33357", + "issue:33666", + "issue:34567", + "issue:36010", + "issue:36331", + "issue:41720", + "issue:43262", + "issue:43278", + "issue:43295", + "issue:43452", + "issue:43493", + "issue:43504", + "issue:43525", + "issue:43531", + "issue:43550", + "issue:43572", + "issue:43577", + "issue:43606", + "issue:43643", + "issue:43688", + "issue:43720", + "issue:43742", + "issue:43756", + "issue:43825", + "issue:43927", + "issue:43994", + "issue:44361", + "issue:44451", + "issue:44464", + "issue:44466", + "issue:44479", + "issue:44554", + "issue:44561", + "issue:44610", + "issue:44625", + "issue:44821", + "issue:44849", + "issue:44913", + "issue:44977", + "issue:45357", + "issue:45588", + "issue:45823", + "issue:46002", + "issue:46050", + "issue:46192" + ], + "soft_pairs": [ + "issue:43531|issue:43742", + "issue:44464|issue:44977", + "issue:43550|issue:43927", + "issue:43643|issue:44561", + "issue:44479|issue:44625", + "issue:43550|issue:44361", + "issue:41720|issue:44464", + "issue:43577|issue:45588", + "issue:32090|issue:34567", + "issue:43577|issue:44554", + "issue:43504|issue:43550", + "issue:43504|issue:43720", + "issue:43504|issue:44610", + "issue:44466|issue:46050", + "issue:32090|issue:33666", + "issue:33666|issue:36010", + "issue:43742|issue:44821", + "issue:45823|issue:46050", + "issue:43452|issue:44451", + "issue:43720|issue:43927", + "issue:43606|issue:43927", + "issue:43262|issue:43295", + "issue:43994|issue:46192", + "issue:43278|issue:43688", + "issue:43525|issue:43572", + "issue:33666|issue:36331", + "issue:44625|issue:46002", + "issue:43720|issue:44361", + "issue:44849|issue:45357", + "issue:43756|issue:44913", + "issue:43493|issue:43825", + "issue:28218|issue:33357" + ], + "prepared_review_unit_hash": "f064ea31720a4900e0f617599bd957da9363f6a9a817310a90578e1cae8436f9", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 32, + "serialized_chars": 36710, + "estimated_input_tokens": 9178, + "estimated_eval_tokens": 18612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is very noisy: the issues span unrelated bugs across tokenization, training, loading, generation, config serialization, and model-specific regressions. The soft links mostly reflect superficial theme overlap rather than the same underlying defect, so I would not merge any pair.", + "confidence": 0.23, + "canonical_issue_reason": "issue:43927 is the closest hub in the noisy save/load/config-regression subgroup, but it still is not a true duplicate representative of the whole set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43927 is the best single representative only because it has the strongest soft connectivity among the mostly unrelated issues; it still does not justify duplicate clustering.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43531", + "right": "issue:43742", + "accept": false, + "reason": "Different problems: Qwen3-MoE sliding-window behavior vs a MobileLLM load key error." + }, + { + "left": "issue:44464", + "right": "issue:44977", + "accept": false, + "reason": "Both concern generation, but one is compiled chunked decoding and the other is flash-attention on Qwen3.5; different code paths and symptoms." + }, + { + "left": "issue:43550", + "right": "issue:43927", + "accept": false, + "reason": "Torch.compile/SDPA failure in Bamba-9B-v2 is unrelated to DiaConfig losing custom token IDs on save/load." + }, + { + "left": "issue:43643", + "right": "issue:44561", + "accept": false, + "reason": "Both mention trust_remote_code, but one is missing fields from AutoConfig and the other is removal of is_torch_fx_available breaking remote-code models." + }, + { + "left": "issue:44479", + "right": "issue:44625", + "accept": false, + "reason": "Video-input regression for Qwen VL models vs num_labels propagation bug; not the same defect." + }, + { + "left": "issue:43550", + "right": "issue:44361", + "accept": false, + "reason": "Bamba torch.compile/SDPA issue is unrelated to MLukeTokenizer task AttributeError." + }, + { + "left": "issue:41720", + "right": "issue:44464", + "accept": false, + "reason": "CUDA assert under auto device mapping for Qwen3 is not the same as inconsistent outputs in compiled chunked generation." + }, + { + "left": "issue:43577", + "right": "issue:45588", + "accept": false, + "reason": "Model dtype-loading bug for Blip2 is unrelated to flash_attention crashing on s_aux=None." + }, + { + "left": "issue:32090", + "right": "issue:34567", + "accept": false, + "reason": "Both are Trainer-related, but one is a GPU broadcast TypeError and the other is a token-counting state update bug." + }, + { + "left": "issue:43577", + "right": "issue:44554", + "accept": false, + "reason": "Different subsystems: Blip2 dtype handling vs MPS attention correctness with mismatched head dims." + }, + { + "left": "issue:43504", + "right": "issue:43550", + "accept": false, + "reason": "Legacy-field pretrained loading bug is unrelated to Bamba torch.compile/SDPA failure." + }, + { + "left": "issue:43504", + "right": "issue:43720", + "accept": false, + "reason": "Both involve loading, but one is a legacy preset field and the other is packed-weight unpacking during accelerate loading; different bugs." + }, + { + "left": "issue:43504", + "right": "issue:44610", + "accept": false, + "reason": "Model preset loading bug is unrelated to OmDet-Turbo processor producing the wrong image size." + }, + { + "left": "issue:44466", + "right": "issue:46050", + "accept": false, + "reason": "Both touch save/load behavior, but one is tied-weight serialization by device and the other is quantized sinq checkpoint restoration." + }, + { + "left": "issue:32090", + "right": "issue:33666", + "accept": false, + "reason": "Trainer broadcast failure is unrelated to Qwen2-VL multi-GPU training support." + }, + { + "left": "issue:33666", + "right": "issue:36010", + "accept": false, + "reason": "Multi-GPU training request vs GenerationMixin import error; unrelated issues." + }, + { + "left": "issue:43742", + "right": "issue:44821", + "accept": false, + "reason": "MobileLLM checkpoint key error is unrelated to AutoImageProcessor URL loading." + }, + { + "left": "issue:45823", + "right": "issue:46050", + "accept": false, + "reason": "Device-mismatch forward bug in Gemma4 PLE is unrelated to sinq save/load corruption." + }, + { + "left": "issue:43452", + "right": "issue:44451", + "accept": false, + "reason": "gguf_file from_pretrained breakage and ScandiBERT loading failure are separate loading problems with different causes." + }, + { + "left": "issue:43720", + "right": "issue:43927", + "accept": false, + "reason": "Packed-weight unpacking during accelerate loading is not the same as DiaConfig custom token ID persistence." + }, + { + "left": "issue:43606", + "right": "issue:43927", + "accept": false, + "reason": "CPU-offload device mismatch in bark-small is unrelated to config token ID loss." + }, + { + "left": "issue:43262", + "right": "issue:43295", + "accept": false, + "reason": "Audio chat-template sampling-rate default bug is unrelated to processor.tokenizer / image-passing regression." + }, + { + "left": "issue:43994", + "right": "issue:46192", + "accept": false, + "reason": "SigLIP2 nonsensical outputs and return_tensors being ignored are different API bugs." + }, + { + "left": "issue:43278", + "right": "issue:43688", + "accept": false, + "reason": "Embedding dtype drift in evaluation is unrelated to auxiliary-loss normalization in OLMoE/GPT Oss." + }, + { + "left": "issue:43525", + "right": "issue:43572", + "accept": false, + "reason": "Similar symptom class, but different models and fields; not enough evidence of the same underlying bug." + }, + { + "left": "issue:33666", + "right": "issue:36331", + "accept": false, + "reason": "Multi-GPU training request vs custom compute_loss kwarg incompatibility are unrelated." + }, + { + "left": "issue:44625", + "right": "issue:46002", + "accept": false, + "reason": "num_labels propagation bug is unrelated to NaNs in classification heads after checkout/init." + }, + { + "left": "issue:43720", + "right": "issue:44361", + "accept": false, + "reason": "Packed-weight loading bug and MLukeTokenizer AttributeError do not share a code path." + }, + { + "left": "issue:44849", + "right": "issue:45357", + "accept": false, + "reason": "Qwen3.5 hidden-states bug and incorrect visual-encoder key serialization are distinct regressions." + }, + { + "left": "issue:43756", + "right": "issue:44913", + "accept": false, + "reason": "Smollm3 RoPE-layer omission is not the same as GPTNeoXConfig rotary_pct not persisting on reload." + }, + { + "left": "issue:43493", + "right": "issue:43825", + "accept": false, + "reason": "SigLIP2 implementation mismatch and pipeline translation-task error messaging are unrelated." + }, + { + "left": "issue:28218", + "right": "issue:33357", + "accept": false, + "reason": "Tokenizer extra-space behavior is unrelated to the MacOS CLIP bus error." + } + ] + }, + "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": 17, + "review_unit_index": 22, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:33357", + "issue:33666", + "issue:39692", + "issue:43257", + "issue:43278", + "issue:43295", + "issue:43299", + "issue:43334", + "issue:43493", + "issue:43504", + "issue:43540", + "issue:43572", + "issue:43575", + "issue:43606", + "issue:43646", + "issue:43653", + "issue:43701", + "issue:43756", + "issue:43824", + "issue:43844", + "issue:43873", + "issue:43927", + "issue:43994", + "issue:44112", + "issue:44291", + "issue:44361", + "issue:44423", + "issue:44464", + "issue:44466", + "issue:44488", + "issue:44493", + "issue:44568", + "issue:44589", + "issue:44734", + "issue:44792", + "issue:44843", + "issue:44964", + "issue:44977", + "issue:45083", + "issue:45200", + "issue:45229", + "issue:45405", + "issue:45520", + "issue:45584", + "issue:45759", + "issue:45812", + "issue:45823", + "issue:46050" + ], + "soft_pairs": [ + "issue:44568|issue:45812", + "issue:44964|issue:45405", + "issue:39692|issue:43493", + "issue:43540|issue:44977", + "issue:44488|issue:44843", + "issue:45200|issue:45229", + "issue:43334|issue:43572", + "issue:43278|issue:43844", + "issue:43493|issue:43844", + "issue:43257|issue:43299", + "issue:43334|issue:45759", + "issue:43756|issue:45083", + "issue:39692|issue:43295", + "issue:43646|issue:44466", + "issue:45229|issue:45823", + "issue:43824|issue:44589", + "issue:33357|issue:33666", + "issue:43504|issue:43606", + "issue:43927|issue:44361", + "issue:44589|issue:45520", + "issue:43572|issue:44291", + "issue:44464|issue:45584", + "issue:43504|issue:43653", + "issue:43606|issue:44112", + "issue:43278|issue:43701", + "issue:43575|issue:45405", + "issue:44792|issue:45405", + "issue:43994|issue:44493", + "issue:44423|issue:44734", + "issue:43873|issue:46050" + ], + "prepared_review_unit_hash": "097ec11d0ff9b53230ed663a3b3982a026e3d5c9dcb3d7c76529adf2ec533c7c", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36879, + "estimated_input_tokens": 9220, + "estimated_eval_tokens": 18696 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a grab-bag of unrelated regression reports. A few pairs share a broad theme (v5 tokenizer/config/model-loading regressions, Qwen/Gemma/Multimodal issues), but the concrete failure modes and code paths differ too much to merge.", + "confidence": 0.7, + "canonical_issue_reason": "Issue 45812 is the clearest representative: it is a concrete, user-visible v4\u2192v5 regression affecting a broad family of models (Granite) and points to a specific tokenizer path rather than a vague symptom.", + "canonical_pr_reason": null, + "best_issue_reason": "45812 is the best standalone issue to anchor the cluster because it describes a specific, reproducible regression with wide impact and a clear affected surface.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44568", + "right": "issue:45812", + "accept": false, + "reason": "Both are tokenizer regressions in v5, but one is about add_special_tokens on mdeberta-v3 and the other is about Granite token IDs; different model-specific code paths." + }, + { + "left": "issue:44964", + "right": "issue:45405", + "accept": false, + "reason": "Unrelated: model loading failure for Phi-4 multimodal vs a version-bump/package availability issue for MIN_PEFT_VERSION." + }, + { + "left": "issue:39692", + "right": "issue:43493", + "accept": false, + "reason": "Both mention SigLIP2, but one is a docs/example mismatch and quantization problem while the other is an implementation-vs-JAX discrepancy." + }, + { + "left": "issue:43540", + "right": "issue:44977", + "accept": false, + "reason": "Different bugs: Qwen3OmniMoe video input processing ValueError vs Qwen3.5 flash-attention generation behavior." + }, + { + "left": "issue:44488", + "right": "issue:44843", + "accept": false, + "reason": "Different failure modes: loading cjvt/sleng-bert vs offline-mode breakage caused by an unconditional model_info() call." + }, + { + "left": "issue:45200", + "right": "issue:45229", + "accept": false, + "reason": "Not the same bug: mm_token_type_ids defaulting for text-only fine-tuning vs Gemma4 multi-GPU OOM." + }, + { + "left": "issue:43334", + "right": "issue:43572", + "accept": false, + "reason": "Both are missing config fields, but they affect different models and different attributes (pad_token_id vs pad_token_idx)." + }, + { + "left": "issue:43278", + "right": "issue:43844", + "accept": false, + "reason": "Embedding dtype drift in eval is unrelated to the ZeRO-3 gradient growth problem." + }, + { + "left": "issue:43493", + "right": "issue:43844", + "accept": false, + "reason": "SigLIP2 implementation mismatch and ZeRO-3 gradient anomalies are distinct issues." + }, + { + "left": "issue:43257", + "right": "issue:43299", + "accept": false, + "reason": "Both involve Qwen3 MoE, but one is about weight conversion with accelerate+deepspeed and the other is a model-loading regression in dev." + }, + { + "left": "issue:43334", + "right": "issue:45759", + "accept": false, + "reason": "Missing pad_token_id on Qwen3-VL config is unrelated to AutoModelForCausalLM.from_config not unwrapping text_config." + }, + { + "left": "issue:43756", + "right": "issue:45083", + "accept": false, + "reason": "Smollm3 RoPE-layer count bug and qwen3_omni_moe feature-length helper behavior are unrelated." + }, + { + "left": "issue:39692", + "right": "issue:43295", + "accept": false, + "reason": "SigLIP2 docs/example errors do not match the processor.tokenizer regression in custom model code." + }, + { + "left": "issue:43646", + "right": "issue:44466", + "accept": false, + "reason": "Custom model initialization breakage and lm_head.weight serialization inconsistency are separate problems." + }, + { + "left": "issue:45229", + "right": "issue:45823", + "accept": false, + "reason": "Same model family, different bugs: multi-GPU inference OOM vs device mismatch with device_map=auto." + }, + { + "left": "issue:43824", + "right": "issue:44589", + "accept": false, + "reason": "Import error for Qwen2_5_VL is unrelated to the Float8 storage lookup failure." + }, + { + "left": "issue:33357", + "right": "issue:33666", + "accept": false, + "reason": "Different subsystems and symptoms: MacOS CLIP bus error vs Qwen2-VL multi-GPU training." + }, + { + "left": "issue:43504", + "right": "issue:43606", + "accept": false, + "reason": "BEiT legacy-field loading and bark-small CPU offload device mismatch are unrelated." + }, + { + "left": "issue:43927", + "right": "issue:44361", + "accept": false, + "reason": "DiaConfig save/load token ID loss and MLukeTokenizer AttributeError are different tokenizer/config bugs." + }, + { + "left": "issue:44589", + "right": "issue:45520", + "accept": false, + "reason": "Float8 storage lookup and flash_attn import handling on Python 3.13 are unrelated." + }, + { + "left": "issue:43572", + "right": "issue:44291", + "accept": false, + "reason": "Both are initialization/config regressions, but the concrete defects differ (_pad_token_idx missing vs unexpected _is_hf_initialized argument)." + }, + { + "left": "issue:44464", + "right": "issue:45584", + "accept": false, + "reason": "Chunked generation with compiled forward is a different code path from Whisper empty-transcription failure after align_special_tokens." + }, + { + "left": "issue:43504", + "right": "issue:43653", + "accept": false, + "reason": "Legacy-field load failure in BEiT and BigBirdTokenizer special-token registration are unrelated." + }, + { + "left": "issue:43606", + "right": "issue:44112", + "accept": false, + "reason": "Both mention devices/CI, but they target different models and different failure modes; not the same bug." + }, + { + "left": "issue:43278", + "right": "issue:43701", + "accept": false, + "reason": "Evaluation dtype drift and resume_from_checkpoint key mismatch are unrelated." + }, + { + "left": "issue:43575", + "right": "issue:45405", + "accept": false, + "reason": "TP-induced OOM on Qwen2-57B is unrelated to a dependency version bump." + }, + { + "left": "issue:44792", + "right": "issue:45405", + "accept": false, + "reason": "janus image-generation test failure is unrelated to the PEFT version availability issue." + }, + { + "left": "issue:43994", + "right": "issue:44493", + "accept": false, + "reason": "Nonsensical SigLIP2 outputs and unexpected position-id keys in many models are too different to be the same underlying bug." + }, + { + "left": "issue:44423", + "right": "issue:44734", + "accept": false, + "reason": "Different serve paths and failures: multimodal continuous batching crashes on .to() vs KV-cache continuation indexing bug." + }, + { + "left": "issue:43873", + "right": "issue:46050", + "accept": false, + "reason": "Offloading-not-working-with-quantization and quantized-model save/load breakage are related only at a high 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": 17, + "review_unit_index": 23, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:15354", + "issue:28218", + "issue:29159", + "issue:29942", + "issue:30333", + "issue:32090", + "issue:34567", + "issue:37428", + "issue:38175", + "issue:39692", + "issue:42490", + "issue:43232", + "issue:43295", + "issue:43450", + "issue:43493", + "issue:43540", + "issue:43572", + "issue:43582", + "issue:43696", + "issue:43701", + "issue:43824", + "issue:43844", + "issue:43957", + "issue:44186", + "issue:44315", + "issue:44521", + "issue:44554", + "issue:44610", + "issue:44849", + "issue:44964", + "issue:44977", + "issue:44987", + "issue:45072", + "issue:45084", + "issue:45198", + "issue:45200", + "issue:45290", + "issue:45325", + "issue:45356", + "issue:45406", + "issue:45446", + "issue:45520", + "issue:45588", + "issue:45823", + "issue:46050", + "issue:46121", + "issue:46178", + "issue:46192" + ], + "soft_pairs": [ + "issue:45406|issue:46121", + "issue:29942|issue:30333", + "issue:45588|issue:46050", + "issue:42490|issue:43696", + "issue:43844|issue:44964", + "issue:44521|issue:45290", + "issue:28218|issue:34567", + "issue:29159|issue:32090", + "issue:43582|issue:44977", + "issue:44554|issue:45446", + "issue:45084|issue:45520", + "issue:43540|issue:45200", + "issue:15354|issue:38175", + "issue:45072|issue:45198", + "issue:45200|issue:45823", + "issue:37428|issue:43957", + "issue:43232|issue:44849", + "issue:44186|issue:46192", + "issue:43493|issue:43701", + "issue:45823|issue:46192", + "issue:44315|issue:44849", + "issue:43295|issue:44610", + "issue:43295|issue:43450", + "issue:44554|issue:45356", + "issue:43572|issue:44987", + "issue:37428|issue:43824", + "issue:43572|issue:43957", + "issue:45200|issue:45325", + "issue:39692|issue:46192", + "issue:45520|issue:46178" + ], + "prepared_review_unit_hash": "22f5dac0a5fffbeb020506cc454b1655398ba764d17ec42de3453cc13ded38e4", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36818, + "estimated_input_tokens": 9205, + "estimated_eval_tokens": 18666 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated tokenizer, generation, import, training, flash-attention, multimodal, and config bugs. I found no true duplicate pair among the soft edges, so no mergeable issue cluster emerges.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because the set is not a duplicate cluster; the paired items describe different subsystems and different underlying failures.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44521 is the best standalone anchor only in the sense that it is well-scoped, reproducible, and has active discussion/inbound refs; however, it does not represent the rest of the cluster as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45406", + "right": "issue:46121", + "accept": false, + "reason": "Gemma4Processor _tokenizer AttributeError vs rope-validation TypeError; different code paths and failures." + }, + { + "left": "issue:29942", + "right": "issue:30333", + "accept": false, + "reason": "Flash Attention 2 test failures are unrelated to MLFlow reporting on failed jobs." + }, + { + "left": "issue:45588", + "right": "issue:46050", + "accept": false, + "reason": "flash_attention.py sink-less s_aux=None crash is unrelated to sinq save/load quantization breakage." + }, + { + "left": "issue:42490", + "right": "issue:43696", + "accept": false, + "reason": "Local-path import warning has nothing to do with a CUDA OOM on GPT-oss-20b." + }, + { + "left": "issue:43844", + "right": "issue:44964", + "accept": false, + "reason": "ZeRO-3 gradient anomaly is unrelated to loading Phi-4 multimodal on latest transformers." + }, + { + "left": "issue:44521", + "right": "issue:45290", + "accept": false, + "reason": "Both involve chat template processing, but one is zeroed assistant masks for multimodal inputs and the other is a crash on tool-call messages; not the same bug." + }, + { + "left": "issue:28218", + "right": "issue:34567", + "accept": false, + "reason": "Tokenizer spacing bug is unrelated to TrainerState token-count tracking." + }, + { + "left": "issue:29159", + "right": "issue:32090", + "accept": false, + "reason": "Slow/fast tokenizer inconsistency is unrelated to NoneType GPU broadcast errors in Trainer." + }, + { + "left": "issue:43582", + "right": "issue:44977", + "accept": false, + "reason": "Apple Silicon allocator TypeError is unrelated to Qwen3.5 flash-attention generation behavior." + }, + { + "left": "issue:44554", + "right": "issue:45446", + "accept": false, + "reason": "MPS attention correctness issue is unrelated to the flex_attention PyTorch version check." + }, + { + "left": "issue:45084", + "right": "issue:45520", + "accept": false, + "reason": "Template-node compilation error is unrelated to the Python 3.13 flash_attn import KeyError." + }, + { + "left": "issue:43540", + "right": "issue:45200", + "accept": false, + "reason": "Video-input ValueError in Qwen3OmniMoe is unrelated to Gemma4 mm_token_type_ids defaults." + }, + { + "left": "issue:15354", + "right": "issue:38175", + "accept": false, + "reason": "torch.jit.script GeneratorExp export failure is unrelated to SigLIP2 zero probabilities." + }, + { + "left": "issue:45072", + "right": "issue:45198", + "accept": false, + "reason": "bfloat16 dtype mismatches in inference are unrelated to Wav2Vec2 save_pretrained/tokenization failures." + }, + { + "left": "issue:45200", + "right": "issue:45823", + "accept": false, + "reason": "Gemma4 text-only fine-tuning mask defaults and Gemma4 PLE device placement are different bugs." + }, + { + "left": "issue:37428", + "right": "issue:43957", + "accept": false, + "reason": "Missing flash-attention helper import and meta-device model loading are separate import/loading regressions." + }, + { + "left": "issue:43232", + "right": "issue:44849", + "accept": false, + "reason": "Generation kwargs sync bug is unrelated to Qwen3.5 output_hidden_states behavior." + }, + { + "left": "issue:44186", + "right": "issue:46192", + "accept": false, + "reason": "LayoutLMv2 NER/padding crash is unrelated to return_tensors being ignored with explicit text_kwargs." + }, + { + "left": "issue:43493", + "right": "issue:43701", + "accept": false, + "reason": "SigLIP2 HF/JAX discrepancy is unrelated to resume-from-checkpoint key mismatch." + }, + { + "left": "issue:45823", + "right": "issue:46192", + "accept": false, + "reason": "Gemma4 device-map mismatch is unrelated to return_tensors/text_kwargs precedence." + }, + { + "left": "issue:44315", + "right": "issue:44849", + "accept": false, + "reason": "Liger Kernel not applied in model_init is unrelated to the Qwen3.5 hidden-states bug." + }, + { + "left": "issue:43295", + "right": "issue:44610", + "accept": false, + "reason": "Processor.tokenizer regression is unrelated to OmDet-Turbo producing the wrong image size." + }, + { + "left": "issue:43295", + "right": "issue:43450", + "accept": false, + "reason": "processor.tokenizer/images regression is unrelated to video processor batched-shape output." + }, + { + "left": "issue:44554", + "right": "issue:45356", + "accept": false, + "reason": "MPS attention correctness issue is unrelated to Kimi-K2.5 tokenizer codec regression." + }, + { + "left": "issue:43572", + "right": "issue:44987", + "accept": false, + "reason": "StableLmConfig pad_token_idx regression is unrelated to a model-loading failure for physical-intelligence/fast." + }, + { + "left": "issue:37428", + "right": "issue:43824", + "accept": false, + "reason": "Different import errors: missing flash-support helper vs missing Qwen2.5-VL class." + }, + { + "left": "issue:43572", + "right": "issue:43957", + "accept": false, + "reason": "pad_token_idx config regression is unrelated to meta-device loading failures." + }, + { + "left": "issue:45200", + "right": "issue:45325", + "accept": false, + "reason": "Gemma4 token-type-id defaults and Qwen2.5-VL rope scaling are distinct multimodal bugs." + }, + { + "left": "issue:39692", + "right": "issue:46192", + "accept": false, + "reason": "SigLIP2 docs errors are unrelated to return_tensors being ignored in tokenizer kwargs." + }, + { + "left": "issue:45520", + "right": "issue:46178", + "accept": false, + "reason": "flash_attn KeyError on Python 3.13 is unrelated to BACKENDS_MAPPING tensorflow_text validation." + } + ] + }, + "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": 17, + "review_unit_index": 24, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28218", + "issue:35141", + "issue:37428", + "issue:38175", + "issue:42490", + "issue:42915", + "issue:43262", + "issue:43278", + "issue:43295", + "issue:43334", + "issue:43335", + "issue:43388", + "issue:43425", + "issue:43450", + "issue:43493", + "issue:43525", + "issue:43526", + "issue:43550", + "issue:43575", + "issue:43606", + "issue:43653", + "issue:43819", + "issue:43824", + "issue:43827", + "issue:43844", + "issue:43856", + "issue:43873", + "issue:43901", + "issue:43975", + "issue:44112", + "issue:44206", + "issue:44442", + "issue:44466", + "issue:44514", + "issue:44521", + "issue:44610", + "issue:44792", + "issue:44857", + "issue:44898", + "issue:45083", + "issue:45127", + "issue:45198", + "issue:45412", + "issue:45520", + "issue:45563", + "issue:45584", + "issue:46170", + "issue:46192" + ], + "soft_pairs": [ + "issue:43295|issue:43873", + "issue:44898|issue:45412", + "issue:43550|issue:43844", + "issue:44466|issue:45127", + "issue:43334|issue:43525", + "issue:44792|issue:45563", + "issue:43824|issue:43975", + "issue:42915|issue:43824", + "issue:43388|issue:43526", + "issue:43450|issue:43575", + "issue:42490|issue:43493", + "issue:43278|issue:43856", + "issue:28218|issue:35141", + "issue:43975|issue:45520", + "issue:43526|issue:46192", + "issue:38175|issue:43493", + "issue:43653|issue:44112", + "issue:44442|issue:45198", + "issue:44514|issue:44521", + "issue:45520|issue:46170", + "issue:38175|issue:45412", + "issue:44206|issue:45584", + "issue:43262|issue:43450", + "issue:43827|issue:43901", + "issue:43819|issue:44112", + "issue:44610|issue:44857", + "issue:43819|issue:45083", + "issue:37428|issue:43425", + "issue:43335|issue:43550", + "issue:43606|issue:45083" + ], + "prepared_review_unit_hash": "caa5e63a998710f41cd432d5acba6f51093bb8978109f7d08ed51981ab96b841", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36918, + "estimated_input_tokens": 9230, + "estimated_eval_tokens": 18716 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most pairs only share a broad subsystem or model family, not the same concrete bug. I would not merge any of the soft-edge candidates. If one issue has to stand in as the representative, `issue:44521` is the strongest due to higher activity and inbound references, but the cluster does not look like a true duplicate set.", + "confidence": 0.78, + "canonical_issue_reason": "`issue:44521` has the most inbound references/discussion and is a user-facing bug in a broadly reused path (`apply_chat_template` for multimodal inputs), so it is the best representative of the noisy cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "`issue:44521` is the most impactful and central issue in the set based on activity and references, even though the surrounding items are not true duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43295", + "right": "issue:43873", + "accept": false, + "reason": "Different failures: processor/tokenizer regression vs quantization/offloading behavior. Same general area, not the same bug." + }, + { + "left": "issue:44898", + "right": "issue:45412", + "accept": false, + "reason": "Unrelated components: Perceiver interpolation shape handling vs RT-DETR memory release." + }, + { + "left": "issue:43550", + "right": "issue:43844", + "accept": false, + "reason": "Different code paths: torch.compile+SDPA on Bamba vs ZeRO-3 gradient growth in DeepSpeed." + }, + { + "left": "issue:44466", + "right": "issue:45127", + "accept": false, + "reason": "Both mention tied weights, but one is serialization/device-dependent and the other is LoRA merge collapse with extended vocab. Not the same defect." + }, + { + "left": "issue:43334", + "right": "issue:43525", + "accept": false, + "reason": "Same symptom class (`pad_token_id` missing) but on different model configs and likely separate fixes." + }, + { + "left": "issue:44792", + "right": "issue:45563", + "accept": false, + "reason": "Janus image-generation test failure is unrelated to a stale warning about `num_return_sequences`." + }, + { + "left": "issue:43824", + "right": "issue:43975", + "accept": false, + "reason": "ImportError for a missing class vs incorrect detokenization in a specific model; different problems." + }, + { + "left": "issue:42915", + "right": "issue:43824", + "accept": false, + "reason": "Qwen3 MoE FP8 failure and Qwen2.5-VL import error are unrelated." + }, + { + "left": "issue:43388", + "right": "issue:43526", + "accept": false, + "reason": "Both involve labels, but one is gather/evaluation batching and the other is image-processor label reduction. Different bugs." + }, + { + "left": "issue:43450", + "right": "issue:43575", + "accept": false, + "reason": "Video processor batch-shape bug vs tensor-parallel OOM when loading a large model." + }, + { + "left": "issue:42490", + "right": "issue:43493", + "accept": false, + "reason": "Import warning for a trailing-slash path is unrelated to SigLIP2 implementation discrepancies." + }, + { + "left": "issue:43278", + "right": "issue:43856", + "accept": false, + "reason": "Embedding dtype drift and MoE memory usage are different issues." + }, + { + "left": "issue:28218", + "right": "issue:35141", + "accept": false, + "reason": "Tokenizer spacing bug and embedding reinitialization after resizing are distinct tokenizer/model-init issues." + }, + { + "left": "issue:43975", + "right": "issue:45520", + "accept": false, + "reason": "Detokenization regression and Python 3.13 flash-attn import handling are unrelated." + }, + { + "left": "issue:43526", + "right": "issue:46192", + "accept": false, + "reason": "Image label reduction bug vs `text_kwargs` silently overriding `return_tensors`; different API paths." + }, + { + "left": "issue:38175", + "right": "issue:43493", + "accept": false, + "reason": "Same model family, but one report is zero probabilities and the other is a general HF-vs-JAX discrepancy; not enough evidence of the same concrete bug." + }, + { + "left": "issue:43653", + "right": "issue:44112", + "accept": false, + "reason": "BigBird tokenizer special-token registration and a GraniteSpeech CI test issue are unrelated." + }, + { + "left": "issue:44442", + "right": "issue:45198", + "accept": false, + "reason": "Different tokenizers and different failure modes; not duplicates." + }, + { + "left": "issue:44514", + "right": "issue:44521", + "accept": false, + "reason": "Both hit `apply_chat_template`, but one crashes on batched padding=False input while the other returns zero assistant masks. Related area, different bug." + }, + { + "left": "issue:45520", + "right": "issue:46170", + "accept": false, + "reason": "Different platform/import failures: flash-attn on Python 3.13 vs Windows ROCm distributed dependency." + }, + { + "left": "issue:38175", + "right": "issue:45412", + "accept": false, + "reason": "SigLIP2 zero-probability behavior is unrelated to RT-DETR memory reclamation." + }, + { + "left": "issue:44206", + "right": "issue:45584", + "accept": false, + "reason": "Audio feature extractor argument regression vs Whisper empty-transcription generation failure are distinct issues." + }, + { + "left": "issue:43262", + "right": "issue:43450", + "accept": false, + "reason": "Audio chat-template sampling-rate default and batched video processor shape are unrelated." + }, + { + "left": "issue:43827", + "right": "issue:43901", + "accept": false, + "reason": "Both are docs-related, but they cover different APIs and different stale references." + }, + { + "left": "issue:43819", + "right": "issue:44112", + "accept": false, + "reason": "DAC latent conversion mismatch and GraniteSpeech CI device override test are unrelated." + }, + { + "left": "issue:44610", + "right": "issue:44857", + "accept": false, + "reason": "Wrong processor image size and AMP/CUDA loss crash are different problems." + }, + { + "left": "issue:43819", + "right": "issue:45083", + "accept": false, + "reason": "DAC STE mismatch vs Qwen3 Omni-MoE feature-length helper behavior are unrelated." + }, + { + "left": "issue:37428", + "right": "issue:43425", + "accept": false, + "reason": "A missing internal import and Torch 2.10 incompatibility are different release issues." + }, + { + "left": "issue:43335", + "right": "issue:43550", + "accept": false, + "reason": "SwitchTransformers config bug and Bamba torch.compile/SDPA failure are unrelated." + }, + { + "left": "issue:43606", + "right": "issue:45083", + "accept": false, + "reason": "CPU-offload device mismatch and Qwen3 Omni-MoE helper behavior 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": 17, + "review_unit_index": 25, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:29127", + "issue:29942", + "issue:32090", + "issue:37428", + "issue:38175", + "issue:39692", + "issue:42490", + "issue:43278", + "issue:43335", + "issue:43504", + "issue:43526", + "issue:43550", + "issue:43606", + "issue:43611", + "issue:43653", + "issue:43720", + "issue:43819", + "issue:43825", + "issue:43854", + "issue:43931", + "issue:44112", + "issue:44206", + "issue:44351", + "issue:44360", + "issue:44448", + "issue:44493", + "issue:44561", + "issue:44743", + "issue:44779", + "issue:44855", + "issue:44857", + "issue:44977", + "issue:45072", + "issue:45083", + "issue:45127", + "issue:45200", + "issue:45229", + "issue:45245", + "issue:45290", + "issue:45310", + "issue:45381", + "issue:45478", + "issue:45588", + "issue:45593", + "issue:45823", + "issue:45859", + "issue:45920", + "issue:46192" + ], + "soft_pairs": [ + "issue:44857|issue:45593", + "issue:44448|issue:44743", + "issue:45290|issue:45381", + "issue:45127|issue:45245", + "issue:29942|issue:32090", + "issue:45200|issue:45588", + "issue:37428|issue:44351", + "issue:43278|issue:43825", + "issue:43335|issue:43653", + "issue:44206|issue:45823", + "issue:43611|issue:43931", + "issue:43550|issue:44112", + "issue:43819|issue:44493", + "issue:44855|issue:45083", + "issue:43335|issue:43504", + "issue:45588|issue:45859", + "issue:29127|issue:32090", + "issue:43335|issue:45083", + "issue:39692|issue:43526", + "issue:45310|issue:45478", + "issue:39692|issue:44493", + "issue:43720|issue:44112", + "issue:43335|issue:45072", + "issue:44448|issue:44779", + "issue:43335|issue:44112", + "issue:44360|issue:44561", + "issue:45920|issue:46192", + "issue:42490|issue:43854", + "issue:44977|issue:45229", + "issue:43606|issue:44857", + "issue:38175|issue:44493" + ], + "prepared_review_unit_hash": "5c361e0f0d7949927c8792b3d313b6fc7ec88a8fc23f120bab0c8a823d72ffdf", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 37157, + "estimated_input_tokens": 9290, + "estimated_eval_tokens": 18836 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is mostly a heterogeneous grab-bag of closed bug reports across unrelated subsystems, with only one clear duplicate pair: the Qwen3.5 MoE from_pretrained regression reports.", + "confidence": 0.87, + "canonical_issue_reason": "No single issue cleanly represents the whole set because the reports cover unrelated failures; among the items, 45310 is the clearest local canonical only for the exact Qwen3.5 MoE duplicate pair.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45310 is the best issue candidate because it is the earlier, more central report for the only true duplicate pair, and 45478 is essentially the same bug report with a later timestamp.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44857", + "right": "issue:45593", + "accept": false, + "reason": "Both are model-specific training losses, but one is an AMP/CUDA crash and the other is denoising/aux-loss behavior; different bug surfaces." + }, + { + "left": "issue:44448", + "right": "issue:44743", + "accept": false, + "reason": "Both mention v4/v5 differences, but one is a Pegasus output regression and the other is a recurrent-state reset bug in modular_qwen3_5.py." + }, + { + "left": "issue:45290", + "right": "issue:45381", + "accept": false, + "reason": "These are different pipeline areas: tokenization crashes on tool-call messages versus wrong vision_position_ids for Qwen2.5-VL video input." + }, + { + "left": "issue:45127", + "right": "issue:45245", + "accept": false, + "reason": "LoRA merge collapse with tied embeddings is unrelated to the category-cardinality runtime error." + }, + { + "left": "issue:29942", + "right": "issue:32090", + "accept": false, + "reason": "One is failing Flash Attention 2 tests; the other is a Trainer/_gpu_broadcast_one NoneType error. Different failure modes." + }, + { + "left": "issue:45200", + "right": "issue:45588", + "accept": false, + "reason": "Gemma4 mm_token_type_ids defaults and flash_attention s_aux=None handling are separate code paths and problems." + }, + { + "left": "issue:37428", + "right": "issue:44351", + "accept": false, + "reason": "These are different import-level API breakages: a missing flash-attention helper versus missing HybridCache export." + }, + { + "left": "issue:43278", + "right": "issue:43825", + "accept": false, + "reason": "Embedding dtype drift during evaluate is not the same as pipeline() advertising unsupported translation tasks." + }, + { + "left": "issue:43335", + "right": "issue:43653", + "accept": false, + "reason": "SwitchTransformers sparse-layer creation and BigBirdTokenizer special-token registration are unrelated bugs." + }, + { + "left": "issue:44206", + "right": "issue:45823", + "accept": false, + "reason": "Both are Gemma4-related, but one is a feature-extractor arg regression and the other is a device-map forward mismatch." + }, + { + "left": "issue:43611", + "right": "issue:43931", + "accept": false, + "reason": "Base_model_prefix loading breakage and Qwen3-VL weight-shape mismatch are distinct model-loading failures." + }, + { + "left": "issue:43550", + "right": "issue:44112", + "accept": false, + "reason": "Torch.compile+SDPA failure in Bamba is unrelated to the GraniteSpeech stale device-override CI test." + }, + { + "left": "issue:43819", + "right": "issue:44493", + "accept": false, + "reason": "DAC.from_latents/STE mismatch is a model-specific forward-vs-latents bug, not the broad position-id key issue." + }, + { + "left": "issue:44855", + "right": "issue:45083", + "accept": false, + "reason": "Python 3.13 IndentationError in DebertaV2 import is unrelated to qwen3_omni_moe feature-extraction length behavior." + }, + { + "left": "issue:43335", + "right": "issue:43504", + "accept": false, + "reason": "SwitchTransformers sparse-layer creation and BEiT semantic-segmentation legacy-field loading are different subsystems and defects." + }, + { + "left": "issue:45588", + "right": "issue:45859", + "accept": false, + "reason": "Both involve offload/flash-related behavior, but one is an AttributeError on s_aux=None and the other is a CPU-offload incompatibility in rotary embedding." + }, + { + "left": "issue:29127", + "right": "issue:32090", + "accept": false, + "reason": "LayoutLMv3 box-info error messaging and Trainer GPU broadcast NoneType are clearly unrelated." + }, + { + "left": "issue:43335", + "right": "issue:45083", + "accept": false, + "reason": "SwitchTransformers sparse-layer config and qwen3_omni_moe length helper behavior do not describe the same bug." + }, + { + "left": "issue:39692", + "right": "issue:43526", + "accept": false, + "reason": "SigLIP2 doc example errors and BEiT Fast image processor label reduction are unrelated issues." + }, + { + "left": "issue:45310", + "right": "issue:45478", + "accept": true, + "reason": "Same exact reported bug: transformers>=5.4.0 breaks Qwen3.5 MoE from_pretrained; 45478 is a later duplicate of 45310." + }, + { + "left": "issue:39692", + "right": "issue:44493", + "accept": false, + "reason": "Documentation example failures are not the same as a general unexpected key/position-id issue across models." + }, + { + "left": "issue:43720", + "right": "issue:44112", + "accept": false, + "reason": "BitNet packed-weight unpacking during accelerate loading is unrelated to the GraniteSpeech CI device-override test." + }, + { + "left": "issue:43335", + "right": "issue:45072", + "accept": false, + "reason": "A sparse-layer config bug is not the same as dtype mismatches in SwitchTransformers/TimmWrapperModel inference." + }, + { + "left": "issue:44448", + "right": "issue:44779", + "accept": false, + "reason": "Pegasus v4/v5 output differences and Deepseek tokenizer regressions are separate model/tokenizer bugs." + }, + { + "left": "issue:43335", + "right": "issue:44112", + "accept": false, + "reason": "SwitchTransformers sparse-layer creation and a GraniteSpeech CI test failure are not the same underlying problem." + }, + { + "left": "issue:44360", + "right": "issue:44561", + "accept": false, + "reason": "A discussion about the DSA indexer lacking ReLU is not the same as trust_remote_code breakage from removing is_torch_fx_available." + }, + { + "left": "issue:45920", + "right": "issue:46192", + "accept": false, + "reason": "Both involve tokenizer/text kwargs behavior, but one is wrong token IDs across multiple models and the other is return_tensors being ignored when text_kwargs is passed." + }, + { + "left": "issue:42490", + "right": "issue:43854", + "accept": false, + "reason": "A local-path import warning and a unit-test model loading failure for GLM-4.7-Flash are different issues." + }, + { + "left": "issue:44977", + "right": "issue:45229", + "accept": false, + "reason": "Qwen3.5 flash-attention generation issues and Gemma4 multi-GPU CUDA OOM are different failure modes." + }, + { + "left": "issue:43606", + "right": "issue:44857", + "accept": false, + "reason": "CPU-offload device mismatch in bark-small and LwDetrImageLoss AMP/CUDA crash are unrelated." + }, + { + "left": "issue:38175", + "right": "issue:44493", + "accept": false, + "reason": "Unexpected zero probabilities in siglip2-base-patch16-224 is not the same as a general unexpected position-id key issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the set is heterogeneous, and the only accepted soft pair is 45310/45478, which are near-identical Qwen3.5 MoE from_pretrained reports. The other pairwise rejections are conservative and the reasons stay aligned with the issue titles." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 26, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:10000", + "issue:15354", + "issue:28218", + "issue:29942", + "issue:32090", + "issue:33357", + "issue:34689", + "issue:35141", + "issue:37428", + "issue:40444", + "issue:41720", + "issue:42490", + "issue:43278", + "issue:43329", + "issue:43381", + "issue:43412", + "issue:43526", + "issue:43550", + "issue:43575", + "issue:43701", + "issue:43723", + "issue:43873", + "issue:43927", + "issue:43976", + "issue:44448", + "issue:44462", + "issue:44554", + "issue:44561", + "issue:44568", + "issue:44779", + "issue:44857", + "issue:44977", + "issue:44987", + "issue:45072", + "issue:45083", + "issue:45198", + "issue:45229", + "issue:45372", + "issue:45406", + "issue:45440", + "issue:45459", + "issue:45491", + "issue:45563", + "issue:45588", + "issue:45698", + "issue:45712", + "issue:45803", + "issue:45823" + ], + "soft_pairs": [ + "issue:34689|issue:35141", + "issue:44857|issue:45072", + "issue:44448|issue:44977", + "issue:40444|issue:43526", + "issue:28218|issue:32090", + "issue:43701|issue:45083", + "issue:43723|issue:44554", + "issue:29942|issue:35141", + "issue:32090|issue:33357", + "issue:43550|issue:45083", + "issue:44561|issue:44779", + "issue:43873|issue:45229", + "issue:43927|issue:45698", + "issue:37428|issue:44987", + "issue:44462|issue:44561", + "issue:41720|issue:45229", + "issue:44977|issue:45563", + "issue:43278|issue:43329", + "issue:42490|issue:43575", + "issue:10000|issue:15354", + "issue:44568|issue:45491", + "issue:45372|issue:45588", + "issue:45198|issue:45803", + "issue:44857|issue:45588", + "issue:43412|issue:45588", + "issue:43976|issue:45440", + "issue:45372|issue:45406", + "issue:43278|issue:43381", + "issue:45459|issue:45712", + "issue:45588|issue:45823" + ], + "prepared_review_unit_hash": "abbe3156575e09aca9c1d08f1ffbcef69a286916204599f69de0f94fb85cc993", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36872, + "estimated_input_tokens": 9218, + "estimated_eval_tokens": 18692 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are largely unrelated issues; the soft pairs mostly share only broad subsystem keywords (tokenizers, attention, loading, dtype, Gemma/Qwen, etc.) but not the same concrete bug. No pull requests are present.", + "confidence": 0.97, + "canonical_issue_reason": "Issue #43873 is the best canonical issue candidate: it is open, has the strongest cross-references among the set, and describes a broader, actively discussed quantization/offloading malfunction.", + "canonical_pr_reason": null, + "best_issue_reason": "#43873 is the best representative issue because it is open and appears to be the most central/highly referenced problem in this set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:34689", + "right": "issue:35141", + "accept": false, + "reason": "One is a model-loading regression for Llama 3.2 Vision; the other is a post-init embedding reinitialization bug. Different code paths and failure modes." + }, + { + "left": "issue:44857", + "right": "issue:45072", + "accept": false, + "reason": "Both mention dtype problems, but they affect different models and distinct behaviors (loss crash vs inference mismatches). Not the same bug." + }, + { + "left": "issue:44448", + "right": "issue:44977", + "accept": false, + "reason": "Different models and different symptoms: Pegasus output drift across versions vs Qwen3.5 flash-attention generation failure." + }, + { + "left": "issue:40444", + "right": "issue:43526", + "accept": false, + "reason": "IterableDataset multi-image finetuning failure is unrelated to BeitImageProcessorFast reduce_labels behavior." + }, + { + "left": "issue:28218", + "right": "issue:32090", + "accept": false, + "reason": "Tokenizer spacing after added tokens and Trainer/_gpu_broadcast_one NoneType errors are unrelated." + }, + { + "left": "issue:43701", + "right": "issue:45083", + "accept": false, + "reason": "Checkpoint resume key mismatch is unrelated to a Qwen3 Omni feature-length helper bug." + }, + { + "left": "issue:43723", + "right": "issue:44554", + "accept": false, + "reason": "Tokenizer loading in v5 and an MPS attention correctness issue are different subsystems and failure modes." + }, + { + "left": "issue:29942", + "right": "issue:35141", + "accept": false, + "reason": "Flash Attention 2 test failures are unrelated to embedding reinitialization in post_init." + }, + { + "left": "issue:32090", + "right": "issue:33357", + "accept": false, + "reason": "Trainer broadcast TypeError and MacOS bus error with a CLIP model are not the same underlying defect." + }, + { + "left": "issue:43550", + "right": "issue:45083", + "accept": false, + "reason": "torch.compile/SDPA failure for Bamba is unrelated to the qwen3_omni_moe helper-length bug." + }, + { + "left": "issue:44561", + "right": "issue:44779", + "accept": false, + "reason": "A v5 remote-code compatibility break is not the same as DeepSeek tokenizer incorrect results." + }, + { + "left": "issue:43873", + "right": "issue:45229", + "accept": false, + "reason": "Quantization/offloading issues and a Gemma4 multi-GPU OOM are both memory-related but not the same bug." + }, + { + "left": "issue:43927", + "right": "issue:45698", + "accept": false, + "reason": "DiaConfig token-ID persistence and wrong custom module loading after save/load are related to serialization, but they are different concrete failures." + }, + { + "left": "issue:37428", + "right": "issue:44987", + "accept": false, + "reason": "Import error for a flash-attention helper and a model load failure in transformers>=5.1.0 are different incompatibilities." + }, + { + "left": "issue:44462", + "right": "issue:44561", + "accept": false, + "reason": "AutoTokenizer ignoring tokenizer.json is unrelated to the removal of is_torch_fx_available." + }, + { + "left": "issue:41720", + "right": "issue:45229", + "accept": false, + "reason": "Qwen3 device-mapping cudaErrorAssert and Gemma4 multi-GPU OOM are separate runtime failures." + }, + { + "left": "issue:44977", + "right": "issue:45563", + "accept": false, + "reason": "Flash-attention generation malfunction and a stale warning in paged generate() are not the same issue." + }, + { + "left": "issue:43278", + "right": "issue:43329", + "accept": false, + "reason": "Embedding dtype drift in evaluation is unrelated to an undefined-variable bug in multimodal token counting." + }, + { + "left": "issue:42490", + "right": "issue:43575", + "accept": false, + "reason": "Local-path import warning and tensor-parallel OOM when loading Qwen2-57B are different problems." + }, + { + "left": "issue:10000", + "right": "issue:15354", + "accept": false, + "reason": "German DistilBertModel issue and torch.jit GeneratorExp export failure for ViT are unrelated." + }, + { + "left": "issue:44568", + "right": "issue:45491", + "accept": false, + "reason": "Tokenizer special-token insertion bug and Gemma3 NaN embeddings with sliding-window attention are unrelated." + }, + { + "left": "issue:45372", + "right": "issue:45588", + "accept": false, + "reason": "Gemma4 processor import failure and flash_attention.py crashing on s_aux=None are distinct bugs." + }, + { + "left": "issue:45198", + "right": "issue:45803", + "accept": false, + "reason": "Wav2Vec2 save/tokenization failure and a bare-except issue in Fuyu tensor conversion are different code paths." + }, + { + "left": "issue:44857", + "right": "issue:45588", + "accept": false, + "reason": "Float16 AMP crash in LwDetrImageLoss and sink-less flash_attention AttributeError are unrelated." + }, + { + "left": "issue:43412", + "right": "issue:45588", + "accept": false, + "reason": "Executorch export failures for gemma3n and flash_attention s_aux=None crashes are unrelated." + }, + { + "left": "issue:43976", + "right": "issue:45440", + "accept": false, + "reason": "Python version compatibility break and DeepSeekV3MoE divergence from remote implementation are different issues." + }, + { + "left": "issue:45372", + "right": "issue:45406", + "accept": false, + "reason": "Gemma4 processor loading import error and Gemma4 serve missing _tokenizer are separate failures." + }, + { + "left": "issue:43278", + "right": "issue:43381", + "accept": false, + "reason": "BF16/FP32 dtype drift during evaluate and gradient checkpointing in eval mode are not the same bug." + }, + { + "left": "issue:45459", + "right": "issue:45712", + "accept": false, + "reason": "Tokenizer error masking when protobuf is absent and leftover dummy classes in dummy_pt_objects.py are unrelated." + }, + { + "left": "issue:45588", + "right": "issue:45823", + "accept": false, + "reason": "Gemma4 flash-attention AttributeError and Gemma4 PLE device-mapping mismatch affect different parts of the model stack." + } + ] + }, + "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": 17, + "review_unit_index": 27, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:25251", + "issue:29127", + "issue:29942", + "issue:30064", + "issue:32090", + "issue:33290", + "issue:33357", + "issue:34567", + "issue:39692", + "issue:42490", + "issue:42915", + "issue:42994", + "issue:43065", + "issue:43066", + "issue:43257", + "issue:43278", + "issue:43381", + "issue:43421", + "issue:43611", + "issue:43653", + "issue:43701", + "issue:43756", + "issue:43824", + "issue:43873", + "issue:43994", + "issue:44186", + "issue:44206", + "issue:44265", + "issue:44279", + "issue:44361", + "issue:44442", + "issue:44448", + "issue:44462", + "issue:44466", + "issue:44479", + "issue:44610", + "issue:44743", + "issue:44871", + "issue:44977", + "issue:45198", + "issue:45245", + "issue:45372", + "issue:45412", + "issue:45440", + "issue:45459", + "issue:45491", + "issue:45563", + "issue:46121" + ], + "soft_pairs": [ + "issue:44448|issue:44466", + "issue:45245|issue:45563", + "issue:43653|issue:44743", + "issue:25251|issue:32090", + "issue:44206|issue:44479", + "issue:43065|issue:43994", + "issue:45372|issue:45459", + "issue:44186|issue:45198", + "issue:43065|issue:45412", + "issue:44871|issue:44977", + "issue:43611|issue:46121", + "issue:44361|issue:45198", + "issue:32090|issue:33290", + "issue:42490|issue:43873", + "issue:42915|issue:42994", + "issue:33357|issue:39692", + "issue:29127|issue:34567", + "issue:29942|issue:30064", + "issue:43994|issue:45412", + "issue:44265|issue:45198", + "issue:43066|issue:44462", + "issue:43756|issue:45440", + "issue:43257|issue:43278", + "issue:43421|issue:45491", + "issue:43653|issue:44442", + "issue:43381|issue:43701", + "issue:44610|issue:45412", + "issue:43824|issue:44279" + ], + "prepared_review_unit_hash": "d385ad560285e18fc5faed98df5db2b779084ecbf910199c68e5c072396960e9", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 36086, + "estimated_input_tokens": 9022, + "estimated_eval_tokens": 18300 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This set is highly heterogeneous: the soft pairs mostly share only broad themes like tokenizers, generation, quantization, or vision models, but they describe different concrete failures and code paths. I would not merge any of the proposed soft edges.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue stands out because this is not a true duplicate cluster; it mixes unrelated bugs across tokenizer loading, training, quantization, vision processors, and export/runtime behavior.", + "canonical_pr_reason": null, + "best_issue_reason": "If forced to pick one representative, #44462 is the cleanest self-contained regression, but it still does not explain the rest of the set and should not be treated as the cluster anchor.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44448", + "right": "issue:44466", + "accept": false, + "reason": "Both involve v5 regressions, but one is generation output and the other is serialization of lm_head.weight; different code paths and symptoms." + }, + { + "left": "issue:45245", + "right": "issue:45563", + "accept": false, + "reason": "Category-count runtime error vs a stale warning in paged generate(); unrelated failures." + }, + { + "left": "issue:43653", + "right": "issue:44743", + "accept": false, + "reason": "Tokenizer special-token decode bug vs Qwen recurrent-state/cache behavior; not the same bug." + }, + { + "left": "issue:25251", + "right": "issue:32090", + "accept": false, + "reason": "Pipeline output nesting change and Trainer NoneType broadcast error are unrelated." + }, + { + "left": "issue:44206", + "right": "issue:44479", + "accept": false, + "reason": "Feature extractor center-arg crash vs Qwen video-input regression; different components and failure modes." + }, + { + "left": "issue:43065", + "right": "issue:43994", + "accept": false, + "reason": "SAM3 pixel decoder dummy layer vs SigLIP2 model/processor mismatch; not the same underlying issue." + }, + { + "left": "issue:45372", + "right": "issue:45459", + "accept": false, + "reason": "Gemma 4 processor import failure vs protobuf error masking in tokenizers; separate root causes." + }, + { + "left": "issue:44186", + "right": "issue:45198", + "accept": false, + "reason": "LayoutLMv2 tokenizer crashes on NER/padding vs Wav2Vec2 save/tokenization failure; unrelated tokenizers." + }, + { + "left": "issue:44871", + "right": "issue:44977", + "accept": false, + "reason": "EOS token config mismatch vs flash-attention generation regression; different bugs." + }, + { + "left": "issue:43611", + "right": "issue:46121", + "accept": false, + "reason": "base_model_prefix loading regression and RoPE validation TypeError are unrelated." + }, + { + "left": "issue:44361", + "right": "issue:45198", + "accept": false, + "reason": "MLuke tokenizer AttributeError vs Wav2Vec2 tokenization/save failure; not the same issue." + }, + { + "left": "issue:32090", + "right": "issue:33290", + "accept": false, + "reason": "Trainer broadcast NoneType error vs DeepSpeed Adafactor OOM; unrelated operational problems." + }, + { + "left": "issue:42490", + "right": "issue:43873", + "accept": false, + "reason": "Local-path trailing-slash import warning vs quantization/offloading behavior; different code paths." + }, + { + "left": "issue:42915", + "right": "issue:42994", + "accept": false, + "reason": "Both mention quantization, but one fails with FineGrainedFP8Config while the other fails on model saving; not the same bug." + }, + { + "left": "issue:33357", + "right": "issue:39692", + "accept": false, + "reason": "MacOS bus error loading a CLIP model vs documentation example errors for SigLIP2; unrelated." + }, + { + "left": "issue:29127", + "right": "issue:34567", + "accept": false, + "reason": "LayoutLMv3 error messaging and TrainerState token counting are unrelated." + }, + { + "left": "issue:29942", + "right": "issue:30064", + "accept": false, + "reason": "Flash Attention test failures vs void-segmentation-map processing failure; different subsystems." + }, + { + "left": "issue:43994", + "right": "issue:45412", + "accept": false, + "reason": "SigLIP2 nonsensical outputs vs RT-DETR memory leak on deletion; unrelated." + }, + { + "left": "issue:44265", + "right": "issue:45198", + "accept": false, + "reason": "torch.export failure with torch_compilable_check vs Wav2Vec2 save/tokenization failure; not the same concrete bug." + }, + { + "left": "issue:43066", + "right": "issue:44462", + "accept": false, + "reason": "Both are tokenizer-loading related, but decoder-type mismatch and ignoring tokenizer.json are distinct failure modes." + }, + { + "left": "issue:43756", + "right": "issue:45440", + "accept": false, + "reason": "Smollm3 RoPE-layer issue vs DeepseekV3MoE implementation divergence; unrelated model-specific bugs." + }, + { + "left": "issue:43257", + "right": "issue:43278", + "accept": false, + "reason": "Qwen3 MoE weight conversion under accelerate/deepspeed vs BF16-to-FP32 eval dtype change; different problems." + }, + { + "left": "issue:43421", + "right": "issue:45491", + "accept": false, + "reason": "Runtime post-processor update bug vs Gemma3 NaN embeddings; no shared code-path." + }, + { + "left": "issue:43381", + "right": "issue:43701", + "accept": false, + "reason": "Gradient checkpointing in eval mode and resume_from_checkpoint key mismatch are unrelated." + }, + { + "left": "issue:43653", + "right": "issue:44442", + "accept": false, + "reason": "BigBirdTokenizer special-token decode issue vs FastSpeech2ConformerTokenizer loading failure; different tokenizer paths." + }, + { + "left": "issue:44610", + "right": "issue:45412", + "accept": false, + "reason": "Processor input-size mismatch vs memory release bug; unrelated." + }, + { + "left": "issue:43824", + "right": "issue:44279", + "accept": false, + "reason": "Missing Qwen2.5-VL import vs generic dependency issue; too broad and 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": 17, + "review_unit_index": 28, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:29127", + "issue:29942", + "issue:33357", + "issue:35141", + "issue:36010", + "issue:42490", + "issue:42915", + "issue:43262", + "issue:43334", + "issue:43381", + "issue:43441", + "issue:43526", + "issue:43531", + "issue:43575", + "issue:43646", + "issue:43701", + "issue:43723", + "issue:43761", + "issue:43931", + "issue:44062", + "issue:44077", + "issue:44079", + "issue:44186", + "issue:44206", + "issue:44387", + "issue:44442", + "issue:44464", + "issue:44625", + "issue:44743", + "issue:44811", + "issue:44857", + "issue:44898", + "issue:44977", + "issue:45003", + "issue:45072", + "issue:45103", + "issue:45245", + "issue:45372", + "issue:45440", + "issue:45479", + "issue:45491", + "issue:45584", + "issue:45588", + "issue:45593", + "issue:45834", + "issue:45859", + "issue:45907" + ], + "soft_pairs": [ + "issue:45440|issue:45593", + "issue:29127|issue:33357", + "issue:29942|issue:36010", + "issue:43526|issue:45834", + "issue:43761|issue:45859", + "issue:43526|issue:44186", + "issue:45103|issue:45372", + "issue:44625|issue:45584", + "issue:29127|issue:35141", + "issue:44442|issue:45072", + "issue:43334|issue:43531", + "issue:44977|issue:45245", + "issue:42915|issue:43931", + "issue:43526|issue:44857", + "issue:42490|issue:43381", + "issue:43575|issue:43701", + "issue:43262|issue:44206", + "issue:43575|issue:44387", + "issue:44464|issue:45491", + "issue:43646|issue:44077", + "issue:44743|issue:44811", + "issue:43441|issue:45588", + "issue:44062|issue:45907", + "issue:43761|issue:44079", + "issue:45003|issue:45440", + "issue:43723|issue:45479", + "issue:44442|issue:44898" + ], + "prepared_review_unit_hash": "63dce8e618a9013cd4464f71e8e187a704bd0398dc28b23d8ab176f2d77606f8", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 27, + "serialized_chars": 35252, + "estimated_input_tokens": 8813, + "estimated_eval_tokens": 17882 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a mixed bag of unrelated Transformers bugs/regressions across model families, tokenizers, generation, audio, and utility code. None of the soft pairs look like the same underlying issue, so no duplicate merge is justified.", + "confidence": 0.9, + "canonical_issue_reason": "Issue 45479 is the clearest representative: it describes a concrete, reproducible regression with broader cross-model impact than the other items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 45479 is the best standalone bug report here because it is self-contained, specific, and clearly framed as a general sequence-classification regression.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45440", + "right": "issue:45593", + "accept": false, + "reason": "Different bugs in different model paths: DeepseekV3MoE divergence vs D-FINE auxiliary loss handling." + }, + { + "left": "issue:29127", + "right": "issue:33357", + "accept": false, + "reason": "Unrelated failures: LayoutLMv3 error messaging vs a MacOS CLIP bus error." + }, + { + "left": "issue:29942", + "right": "issue:36010", + "accept": false, + "reason": "Flash Attention 2 test failure and GenerationMixin import error are separate subsystems." + }, + { + "left": "issue:43526", + "right": "issue:45834", + "accept": false, + "reason": "BEiTImageProcessorFast label reduction bug vs Kosmos2.5 OCR index error; different code paths." + }, + { + "left": "issue:43761", + "right": "issue:45859", + "accept": false, + "reason": "CLIPVisionModel hidden_states regression and Qwen3_5Moe rotary CPU-offload failure are unrelated." + }, + { + "left": "issue:43526", + "right": "issue:44186", + "accept": false, + "reason": "Both are preprocessing issues, but they affect different processors and failure modes." + }, + { + "left": "issue:45103", + "right": "issue:45372", + "accept": false, + "reason": "auto_docstring annotation parsing crash vs ReasoningEffort import failure; unrelated." + }, + { + "left": "issue:44625", + "right": "issue:45584", + "accept": false, + "reason": "Qwen3.5 num_labels propagation and Whisper empty-transcription generation are different bugs." + }, + { + "left": "issue:29127", + "right": "issue:35141", + "accept": false, + "reason": "LayoutLMv3 error clarity and token-embedding reinitialization are unrelated issues." + }, + { + "left": "issue:44442", + "right": "issue:45072", + "accept": false, + "reason": "Tokenizer loading failure vs dtype mismatch in inference; no shared concrete code-path bug." + }, + { + "left": "issue:43334", + "right": "issue:43531", + "accept": false, + "reason": "Both are Qwen3-family issues, but one is a missing config attr and the other is sliding-window behavior." + }, + { + "left": "issue:44977", + "right": "issue:45245", + "accept": false, + "reason": "Flash-attention generation bug and category-count limit error are unrelated." + }, + { + "left": "issue:42915", + "right": "issue:43931", + "accept": false, + "reason": "FP8 config failure in Qwen3Moe and Qwen3-VL weight-shape mismatch are distinct load-time problems." + }, + { + "left": "issue:43526", + "right": "issue:44857", + "accept": false, + "reason": "Different models and failure mechanisms: label reduction vs float16 AMP crash." + }, + { + "left": "issue:42490", + "right": "issue:43381", + "accept": false, + "reason": "Local-path import warning and gradient-checkpointing eval-mode restriction are separate." + }, + { + "left": "issue:43575", + "right": "issue:43701", + "accept": false, + "reason": "Tensor-parallel OOM and resume_from_checkpoint key mismatch are unrelated training/load issues." + }, + { + "left": "issue:43262", + "right": "issue:44206", + "accept": false, + "reason": "Audio chat-template sampling-rate default and LasrFeatureExtractor center-arg crash are different bugs." + }, + { + "left": "issue:43575", + "right": "issue:44387", + "accept": false, + "reason": "Both mention memory, but one is tp OOM on a specific model and the other is int4 reserved-memory growth; not the same bug." + }, + { + "left": "issue:44464", + "right": "issue:45491", + "accept": false, + "reason": "Chunked generation inconsistency with compiled forward is unrelated to Gemma3 NaN embeddings from sliding-window attention." + }, + { + "left": "issue:43646", + "right": "issue:44077", + "accept": false, + "reason": "Custom-model init breakage in v5 and patchtsmixer post_init policy are different issues." + }, + { + "left": "issue:44743", + "right": "issue:44811", + "accept": false, + "reason": "Recurrent-state reset with cache and Whisper batch_decode skip_special_tokens are unrelated." + }, + { + "left": "issue:43441", + "right": "issue:45588", + "accept": false, + "reason": "Both involve flash attention, but they hit different models and distinct crash conditions." + }, + { + "left": "issue:44062", + "right": "issue:45907", + "accept": false, + "reason": "AddedToken keyword conflict and list_repo_files revision forwarding are separate API bugs." + }, + { + "left": "issue:43761", + "right": "issue:44079", + "accept": false, + "reason": "Hidden_states regression in CLIPVisionModel is not the same as ModelOutput key assignment issues." + }, + { + "left": "issue:45003", + "right": "issue:45440", + "accept": false, + "reason": "Unsafe sys.modules access in modeling_utils and DeepseekV3MoE divergence are unrelated." + }, + { + "left": "issue:43723", + "right": "issue:45479", + "accept": false, + "reason": "Tokenizer loading failure and zero-loss sequence-classification regression do not share the same bug." + }, + { + "left": "issue:44442", + "right": "issue:44898", + "accept": false, + "reason": "FastSpeech2ConformerTokenizer loading and Perceiver non-default resolution failure 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": 17, + "review_unit_index": 29, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:25251", + "issue:28282", + "issue:33290", + "issue:34567", + "issue:34689", + "issue:35141", + "issue:36010", + "issue:36331", + "issue:42490", + "issue:42907", + "issue:43065", + "issue:43232", + "issue:43295", + "issue:43316", + "issue:43381", + "issue:43388", + "issue:43493", + "issue:43525", + "issue:43611", + "issue:43643", + "issue:43650", + "issue:43720", + "issue:43749", + "issue:43761", + "issue:43825", + "issue:43827", + "issue:43873", + "issue:43931", + "issue:44077", + "issue:44188", + "issue:44190", + "issue:44442", + "issue:44479", + "issue:44496", + "issue:44617", + "issue:44743", + "issue:44855", + "issue:44871", + "issue:44913", + "issue:44987", + "issue:45137", + "issue:45216", + "issue:45290", + "issue:45698", + "issue:45759", + "issue:45803", + "issue:46178", + "issue:46202" + ], + "soft_pairs": [ + "issue:33290|issue:34689", + "issue:33290|issue:34567", + "issue:43232|issue:43388", + "issue:44479|issue:45290", + "issue:33290|issue:35141", + "issue:42490|issue:44743", + "issue:43316|issue:43525", + "issue:43381|issue:43873", + "issue:43761|issue:44188", + "issue:44442|issue:45803", + "issue:34689|issue:43611", + "issue:44987|issue:46178", + "issue:43720|issue:44442", + "issue:44077|issue:44479", + "issue:43931|issue:45216", + "issue:43493|issue:43827", + "issue:42907|issue:45698", + "issue:34689|issue:36010", + "issue:33290|issue:36331", + "issue:43316|issue:45759", + "issue:43749|issue:43931", + "issue:43873|issue:44871", + "issue:43650|issue:46202", + "issue:43643|issue:44913", + "issue:44190|issue:44496", + "issue:44855|issue:45137", + "issue:25251|issue:28282", + "issue:43065|issue:44617", + "issue:43295|issue:43825" + ], + "prepared_review_unit_hash": "1984db3e7c7754d3733638ba4ca5fc5ed1093e07e3b76e702f5f4ddf3254e17f", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36551, + "estimated_input_tokens": 9138, + "estimated_eval_tokens": 18532 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is heterogeneous: the items span unrelated Transformers issues across loading, training, generation, quantization, vision, docs, and model config. None of the soft pairs look like the same underlying bug/change, so no merges are justified.", + "confidence": 0.95, + "canonical_issue_reason": "No single issue cleanly represents a shared underlying defect; the cluster is a semantic grab-bag of distinct problems rather than a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:33290", + "right": "issue:34689", + "accept": false, + "reason": "Different failures: DeepSpeed/Adafactor OOM vs Llama 3.2 Vision model loading regression." + }, + { + "left": "issue:33290", + "right": "issue:34567", + "accept": false, + "reason": "Optimizer memory blow-up is unrelated to TrainerState token-count tracking." + }, + { + "left": "issue:43232", + "right": "issue:43388", + "accept": false, + "reason": "Generation kwargs update after sync_gpus is unrelated to metric gathering dropping tuple labels." + }, + { + "left": "issue:44479", + "right": "issue:45290", + "accept": false, + "reason": "Video-input regression in v5.3.0 is not the same as chat-template tool-call crash." + }, + { + "left": "issue:33290", + "right": "issue:35141", + "accept": false, + "reason": "Adafactor OOM in deepspeed and embedding reinit on resize are different code paths." + }, + { + "left": "issue:42490", + "right": "issue:44743", + "accept": false, + "reason": "Path-with-slash warning and Qwen recurrent-state cache reset are unrelated." + }, + { + "left": "issue:43316", + "right": "issue:43525", + "accept": false, + "reason": "Both are config-related, but Gemma3TextConfig API mismatch and Llama4 missing pad_token_id are distinct bugs." + }, + { + "left": "issue:43381", + "right": "issue:43873", + "accept": false, + "reason": "Gradient checkpointing in eval mode and offloading with quantization do not share the same bug." + }, + { + "left": "issue:43761", + "right": "issue:44188", + "accept": false, + "reason": "CLIPVision hidden_states regression is unrelated to torch.compile attention-kernel divergence." + }, + { + "left": "issue:44442", + "right": "issue:45803", + "accept": false, + "reason": "Tokenizer load failure and bare-except swallowing errors in Fuyu conversion are different issues." + }, + { + "left": "issue:34689", + "right": "issue:43611", + "accept": false, + "reason": "Both involve loading, but one is a specific Llama vision model break while the other is a generic base_model_prefix regression." + }, + { + "left": "issue:44987", + "right": "issue:46178", + "accept": false, + "reason": "Model loading failure with transformers>=5.1.0 is unrelated to missing BACKENDS_MAPPING entry for tensorflow_text." + }, + { + "left": "issue:43720", + "right": "issue:44442", + "accept": false, + "reason": "Packed-weight unpacking during accelerate loading is unrelated to AutoTokenizer failing on FastSpeech2ConformerTokenizer." + }, + { + "left": "issue:44077", + "right": "issue:44479", + "accept": false, + "reason": "Optional post_init policy for patchtsmixer and a video-input regression are not the same issue." + }, + { + "left": "issue:43931", + "right": "issue:45216", + "accept": false, + "reason": "Qwen3-VL shape mismatch on load and Qwen3.5 save_pretrained checkpoint corruption are different lifecycle stages and causes." + }, + { + "left": "issue:43493", + "right": "issue:43827", + "accept": false, + "reason": "SigLIP2 implementation discrepancy and stale docs referencing pipeline() are unrelated." + }, + { + "left": "issue:42907", + "right": "issue:45698", + "accept": false, + "reason": "Dequantized save failure and wrong custom module loaded after save_pretrained are both serialization-related but not the same defect." + }, + { + "left": "issue:34689", + "right": "issue:36010", + "accept": false, + "reason": "Model loading break for a specific Llama model is unrelated to GenerationMixin import errors." + }, + { + "left": "issue:33290", + "right": "issue:36331", + "accept": false, + "reason": "OOM with Adafactor/DeepSpeed is unrelated to CustomTrainer.compute_loss signature breakage." + }, + { + "left": "issue:43316", + "right": "issue:45759", + "accept": false, + "reason": "Gemma3TextConfig API discrepancy and missing text_config unwrap in AutoModelForCausalLM.from_config are distinct multimodal config bugs." + }, + { + "left": "issue:43749", + "right": "issue:43931", + "accept": false, + "reason": "FSDP CPU RAM efficient loading failure and Qwen3-VL weight-shape mismatch are different load-time problems." + }, + { + "left": "issue:43873", + "right": "issue:44871", + "accept": false, + "reason": "Quantization/offloading behavior and eos_token_id list-vs-scalar inconsistency are unrelated." + }, + { + "left": "issue:43650", + "right": "issue:46202", + "accept": false, + "reason": "A vague data request issue is not the same as Gemma pipeline roundtrip failure on the \u2581 token." + }, + { + "left": "issue:43643", + "right": "issue:44913", + "accept": false, + "reason": "trust_remote_code missing fields and GPTNeoX rotary_pct reset on reload are separate config-roundtrip bugs." + }, + { + "left": "issue:44190", + "right": "issue:44496", + "accept": false, + "reason": "Local dataset loading in an example script is unrelated to unrecognized model_type in config.json." + }, + { + "left": "issue:44855", + "right": "issue:45137", + "accept": false, + "reason": "Python 3.13 JIT parsing error and DeepSpeed ZeRO3 deque underflow are entirely different failures." + }, + { + "left": "issue:25251", + "right": "issue:28282", + "accept": false, + "reason": "Pipeline top_k nesting bug and missing PyTorch ImportError are unrelated." + }, + { + "left": "issue:43065", + "right": "issue:44617", + "accept": false, + "reason": "Dummy Conv2d in Sam3PixelDecoder and Sam3Video CUDA OOM are not the same code-path problem." + }, + { + "left": "issue:43295", + "right": "issue:43825", + "accept": false, + "reason": "Processor/tokenizer regression and an incorrect pipeline translation-support error message are different v5 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": 17, + "review_unit_index": 30, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:16998", + "issue:22355", + "issue:32090", + "issue:35141", + "issue:41950", + "issue:42617", + "issue:43295", + "issue:43316", + "issue:43388", + "issue:43404", + "issue:43441", + "issue:43452", + "issue:43475", + "issue:43504", + "issue:43540", + "issue:43550", + "issue:43572", + "issue:43575", + "issue:43606", + "issue:43646", + "issue:43673", + "issue:43688", + "issue:43701", + "issue:43716", + "issue:43742", + "issue:43761", + "issue:44077", + "issue:44162", + "issue:44479", + "issue:44496", + "issue:44514", + "issue:44534", + "issue:44617", + "issue:44734", + "issue:44743", + "issue:44792", + "issue:44871", + "issue:44877", + "issue:44913", + "issue:45127", + "issue:45200", + "issue:45406", + "issue:45584", + "issue:45698", + "issue:45803", + "issue:46050", + "issue:46170", + "issue:46178" + ], + "soft_pairs": [ + "issue:43540|issue:44514", + "issue:43316|issue:43716", + "issue:43550|issue:43701", + "issue:43316|issue:44877", + "issue:44162|issue:44792", + "issue:43606|issue:43701", + "issue:44077|issue:44534", + "issue:45803|issue:46170", + "issue:43404|issue:43441", + "issue:42617|issue:43575", + "issue:16998|issue:22355", + "issue:44871|issue:45584", + "issue:43673|issue:44743", + "issue:43575|issue:43742", + "issue:41950|issue:43475", + "issue:43295|issue:44871", + "issue:43761|issue:44479", + "issue:43388|issue:43688", + "issue:43452|issue:44496", + "issue:45127|issue:45200", + "issue:43646|issue:44913", + "issue:44871|issue:46050", + "issue:43572|issue:46178", + "issue:32090|issue:35141", + "issue:43504|issue:45698", + "issue:44734|issue:45406", + "issue:44617|issue:45584" + ], + "prepared_review_unit_hash": "0c46592f3d61d1e369fa97beae739b64664a8f4beca8a482e18f99e771c66da4", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 27, + "serialized_chars": 35789, + "estimated_input_tokens": 8948, + "estimated_eval_tokens": 18152 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is very heterogeneous: it mixes unrelated Transformers bugs across loading, generation, vision/video, config, training, and distributed/runtime paths. None of the soft pairs look like true duplicates, so they should stay separate.", + "confidence": 0.92, + "canonical_issue_reason": "Issue 43646 is the broadest representative in the set because it concerns a generic Transformers v5.0 custom-model initialization regression, but the cluster is too mixed to have a real canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43646 is the closest thing to a cluster representative, but only as a loose umbrella for init/load regressions; it does not subsume the other reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43540", + "right": "issue:44514", + "accept": false, + "reason": "Different failures in different processor/model paths: Qwen3OmniMoe video input processing vs Qwen2_5_VL batched chat-template padding." + }, + { + "left": "issue:43316", + "right": "issue:43716", + "accept": false, + "reason": "Gemma3TextConfig API mismatch and Mistral-3 image-preprocessor dtype mismatch are unrelated bugs." + }, + { + "left": "issue:43550", + "right": "issue:43701", + "accept": false, + "reason": "torch.compile/SDPA failure is a runtime/model bug; resume_from_checkpoint key mismatch is a separate checkpoint-loading issue." + }, + { + "left": "issue:43316", + "right": "issue:44877", + "accept": false, + "reason": "Both are config-related, but they affect different models and different symptoms: Gemma3TextConfig discrepancy vs granite_speech loading strictness." + }, + { + "left": "issue:44162", + "right": "issue:44792", + "accept": false, + "reason": "ESM2 breakage and a janus test failure are not the same underlying bug." + }, + { + "left": "issue:43606", + "right": "issue:43701", + "accept": false, + "reason": "CPU offload device mismatch is unrelated to checkpoint key mismatch on resume." + }, + { + "left": "issue:44077", + "right": "issue:44534", + "accept": false, + "reason": "Both touch v5 behavior, but one is about optional post_init policy and the other about non-persistent buffer initialization." + }, + { + "left": "issue:45803", + "right": "issue:46170", + "accept": false, + "reason": "Fuyu exception handling and Windows ROCm/torch.distributed import issues are separate code paths." + }, + { + "left": "issue:43404", + "right": "issue:43441", + "accept": false, + "reason": "Weight tying in Mistral3ForConditionalGeneration and FlashAttention failures in Ministral-3 are different concrete defects." + }, + { + "left": "issue:42617", + "right": "issue:43575", + "accept": false, + "reason": "3d_parallel execution failure and tensor-parallel OOM are different symptoms with no shared bug evidence." + }, + { + "left": "issue:16998", + "right": "issue:22355", + "accept": false, + "reason": "A model_max_length question and a missing transformers.onnx module are unrelated." + }, + { + "left": "issue:44871", + "right": "issue:45584", + "accept": false, + "reason": "EOS token config inconsistency and Whisper empty-transcription handling are different bugs." + }, + { + "left": "issue:43673", + "right": "issue:44743", + "accept": false, + "reason": "Both involve cache, but one is missing GenerationMixin cache in chunked_prefill while the other is recurrent-state reset in a specific modular model." + }, + { + "left": "issue:43575", + "right": "issue:43742", + "accept": false, + "reason": "Tensor-parallel OOM and MobileLLM key errors are unrelated load/runtime problems." + }, + { + "left": "issue:41950", + "right": "issue:43475", + "accept": false, + "reason": "Video-classification processor selection and SAM3 vision encoder attribute access are different failure modes." + }, + { + "left": "issue:43295", + "right": "issue:44871", + "accept": false, + "reason": "Processor.tokenizer regression and Gemma-3 EOS config mismatch are not the same bug." + }, + { + "left": "issue:43761", + "right": "issue:44479", + "accept": false, + "reason": "CLIPVision hidden_states regression and Qwen VL video-input regression affect different models and code paths." + }, + { + "left": "issue:43388", + "right": "issue:43688", + "accept": false, + "reason": "Label truncation in gather_for_metrics is unrelated to auxiliary-loss normalization." + }, + { + "left": "issue:43452", + "right": "issue:44496", + "accept": false, + "reason": "Both are loading issues, but gguf_file breakage and missing model_type in config.json have different causes." + }, + { + "left": "issue:45127", + "right": "issue:45200", + "accept": false, + "reason": "LoRA merge collapse and Gemma 4 mm_token_type_ids defaults are unrelated." + }, + { + "left": "issue:43646", + "right": "issue:44913", + "accept": false, + "reason": "Generic custom-model initialization break and rotary_pct reload default are both config/init-adjacent, but not the same underlying defect." + }, + { + "left": "issue:44871", + "right": "issue:46050", + "accept": false, + "reason": "EOS token inconsistency and quantized save/load corruption are distinct serialization/config problems." + }, + { + "left": "issue:43572", + "right": "issue:46178", + "accept": false, + "reason": "Missing pad_token_idx in StableLmConfig and tensorflow_text backend mapping errors are unrelated." + }, + { + "left": "issue:32090", + "right": "issue:35141", + "accept": false, + "reason": "GPU broadcast NoneType failure and embedding reinitialization after resize are different bugs." + }, + { + "left": "issue:43504", + "right": "issue:45698", + "accept": false, + "reason": "Legacy-field preset loading and wrong custom-module loading after save_pretrained are both loading-related, but not the same concrete issue." + }, + { + "left": "issue:44734", + "right": "issue:45406", + "accept": false, + "reason": "KV-cache continuation indexing and Gemma4Processor missing _tokenizer are separate serve/processor bugs." + }, + { + "left": "issue:44617", + "right": "issue:45584", + "accept": false, + "reason": "CUDA OOM in Sam3Video and Whisper empty-transcription handling 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": 17, + "review_unit_index": 31, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:35141", + "issue:41720", + "issue:42490", + "issue:43065", + "issue:43335", + "issue:43525", + "issue:43531", + "issue:43540", + "issue:43550", + "issue:43644", + "issue:43761", + "issue:43827", + "issue:43931", + "issue:43976", + "issue:43994", + "issue:44060", + "issue:44077", + "issue:44112", + "issue:44190", + "issue:44242", + "issue:44462", + "issue:44464", + "issue:44479", + "issue:44521", + "issue:44534", + "issue:44610", + "issue:44734", + "issue:44737", + "issue:44792", + "issue:44855", + "issue:44877", + "issue:44913", + "issue:44933", + "issue:44964", + "issue:44977", + "issue:45127", + "issue:45245", + "issue:45290", + "issue:45357", + "issue:45362", + "issue:45381", + "issue:45563", + "issue:45584", + "issue:45588", + "issue:45600", + "issue:45803", + "issue:45907", + "issue:45987" + ], + "soft_pairs": [ + "issue:45563|issue:45584", + "issue:43761|issue:44242", + "issue:43525|issue:43531", + "issue:44792|issue:44977", + "issue:43931|issue:44060", + "issue:44479|issue:44734", + "issue:44534|issue:44913", + "issue:44190|issue:44964", + "issue:44464|issue:45563", + "issue:44792|issue:45600", + "issue:44521|issue:45381", + "issue:43827|issue:43994", + "issue:43540|issue:45290", + "issue:41720|issue:45245", + "issue:45803|issue:45987", + "issue:43065|issue:44610", + "issue:44855|issue:45588", + "issue:35141|issue:42490", + "issue:44933|issue:45362", + "issue:43335|issue:44855", + "issue:44077|issue:44877", + "issue:43976|issue:44855", + "issue:43644|issue:44913", + "issue:43550|issue:44190", + "issue:43540|issue:44734", + "issue:45127|issue:45357", + "issue:44737|issue:45803", + "issue:44462|issue:45907", + "issue:44112|issue:45600", + "issue:43335|issue:44190" + ], + "prepared_review_unit_hash": "52451cabab33906c249ddca2fd95319d094e29348ef833045f8dd0bf01204d44", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36705, + "estimated_input_tokens": 9177, + "estimated_eval_tokens": 18610 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "All proposed soft edges look like false positives. The cluster is a grab-bag of unrelated issues across model bugs, config/loading regressions, docs, and CI/test failures, not a duplicate set.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue fits: the items span many unrelated code paths and failure modes, so there is no clear duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is globally representative enough to serve as a canonical duplicate target for this cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45563", + "right": "issue:45584", + "accept": false, + "reason": "Both are generation-related, but one is a stale warning and the other is an empty-transcription crash after token alignment; different bugs." + }, + { + "left": "issue:43761", + "right": "issue:44242", + "accept": false, + "reason": "CLIPVision hidden_states regression and MoE load-balancing loss omission are unrelated model-path issues." + }, + { + "left": "issue:43525", + "right": "issue:43531", + "accept": false, + "reason": "Missing pad_token_id on Llama4Config and Qwen3-MoE sliding_window behavior are distinct config/model bugs." + }, + { + "left": "issue:44792", + "right": "issue:44977", + "accept": false, + "reason": "A failing Janus image-generation test and Qwen3.5 flash-attention generation issue are different code paths." + }, + { + "left": "issue:43931", + "right": "issue:44060", + "accept": false, + "reason": "Weight-shape mismatch on model load is not the same as an incorrect tied-weights warning in Qwen3-Next." + }, + { + "left": "issue:44479", + "right": "issue:44734", + "accept": false, + "reason": "Video-input regression in several Qwen VL models and KV-cache continuation crash in serve are unrelated." + }, + { + "left": "issue:44534", + "right": "issue:44913", + "accept": false, + "reason": "Non-persistent buffer initialization bug and GPTNeoX rotary_pct reload bug are separate issues." + }, + { + "left": "issue:44190", + "right": "issue:44964", + "accept": false, + "reason": "Local dataset loading failure in an example script is unrelated to loading Phi-4-multimodal-instruct." + }, + { + "left": "issue:44464", + "right": "issue:45563", + "accept": false, + "reason": "Compiled-forward chunked generation inconsistency and a stale num_return_sequences warning are different behaviors." + }, + { + "left": "issue:44792", + "right": "issue:45600", + "accept": false, + "reason": "A Janus test failure does not match a CI break from removed Sam3LiteText config references." + }, + { + "left": "issue:44521", + "right": "issue:45381", + "accept": false, + "reason": "All-zero assistant masks in chat templating and wrong vision_position_ids for Qwen2.5-VL video inputs are different bugs." + }, + { + "left": "issue:43827", + "right": "issue:43994", + "accept": false, + "reason": "Docs still referencing pipeline() and SigLIP2 nonsensical outputs are not the same issue." + }, + { + "left": "issue:43540", + "right": "issue:45290", + "accept": false, + "reason": "Video processing ValueError in Qwen3OmniMoe and chat-template crashes on tool-call messages are unrelated." + }, + { + "left": "issue:41720", + "right": "issue:45245", + "accept": false, + "reason": "Qwen3 auto device mapping cuda assert and category-count runtime error do not share a code path." + }, + { + "left": "issue:45803", + "right": "issue:45987", + "accept": false, + "reason": "Bare except swallowing interrupts in Fuyu batch conversion and StaticCache return-type mismatch are unrelated." + }, + { + "left": "issue:43065", + "right": "issue:44610", + "accept": false, + "reason": "Dummy Conv2d in Sam3PixelDecoder and processor/model image-size mismatch are different problems." + }, + { + "left": "issue:44855", + "right": "issue:45588", + "accept": false, + "reason": "Python 3.13 import parsing failure in DebertaV2 and flash_attention sink-less AttributeError are unrelated." + }, + { + "left": "issue:35141", + "right": "issue:42490", + "accept": false, + "reason": "Embedding reinitialization in post_init and trailing-slash local model loading warning are different loading behaviors." + }, + { + "left": "issue:44933", + "right": "issue:45362", + "accept": false, + "reason": "Missing image_utils import and Qwen3.5 chat crash are not the same bug." + }, + { + "left": "issue:43335", + "right": "issue:44855", + "accept": false, + "reason": "Sparse-layer creation in SwitchTransformersConfig and DebertaV2 import parsing error are unrelated." + }, + { + "left": "issue:44077", + "right": "issue:44877", + "accept": false, + "reason": "Optional post_init deprecation and strict-config loading failure are different config validation issues." + }, + { + "left": "issue:43976", + "right": "issue:44855", + "accept": false, + "reason": "Python version support regression and DebertaV2 import parsing failure are unrelated." + }, + { + "left": "issue:43644", + "right": "issue:44913", + "accept": false, + "reason": "Non-persistent buffer junk in v5 and GPTNeoX rotary_pct reload defaulting are separate bugs." + }, + { + "left": "issue:43550", + "right": "issue:44190", + "accept": false, + "reason": "torch.compile SDPA failure in Bamba and local dataset loading failure are unrelated." + }, + { + "left": "issue:45127", + "right": "issue:45357", + "accept": false, + "reason": "LoRA merge with extended vocab corrupting tied embeddings and incorrect visual encoder keys on save_pretrained are different code paths." + }, + { + "left": "issue:44737", + "right": "issue:45803", + "accept": false, + "reason": "CPU device omission in XLNet positional encoding and Fuyu bare-except error masking are unrelated." + }, + { + "left": "issue:44462", + "right": "issue:45907", + "accept": false, + "reason": "Tokenizer.json being ignored and list_repo_files not forwarding revision are separate Hub-loading issues." + }, + { + "left": "issue:44112", + "right": "issue:45600", + "accept": false, + "reason": "GraniteSpeech CI device-override test flake and auto_mappings references to removed configs are different CI problems." + }, + { + "left": "issue:43335", + "right": "issue:44190", + "accept": false, + "reason": "SwitchTransformers sparse-layer bug and local dataset loading issue do not share a concrete failure path." + } + ] + }, + "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": 17, + "review_unit_index": 32, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "llm", + "cache_hit": false, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36246", + "issue:38175", + "issue:38617", + "issue:39692", + "issue:41628", + "issue:41950", + "issue:42175", + "issue:42490", + "issue:42907", + "issue:43065", + "issue:43295", + "issue:43404", + "issue:43441", + "issue:43479", + "issue:43526", + "issue:43531", + "issue:43643", + "issue:43650", + "issue:43854", + "issue:43901", + "issue:43976", + "issue:44016", + "issue:44112", + "issue:44186", + "issue:44190", + "issue:44220", + "issue:44246", + "issue:44279", + "issue:44496", + "issue:44561", + "issue:44683", + "issue:44734", + "issue:44938", + "issue:44964", + "issue:44987", + "issue:45003", + "issue:45216", + "issue:45245", + "issue:45276", + "issue:45335", + "issue:45375", + "issue:45446", + "issue:45542", + "issue:45584", + "issue:45600", + "issue:45632", + "issue:46082", + "issue:46121" + ], + "soft_pairs": [ + "issue:46082|issue:46121", + "issue:44938|issue:45542", + "issue:39692|issue:44190", + "issue:43479|issue:45375", + "issue:45276|issue:45584", + "issue:36246|issue:41628", + "issue:43295|issue:45276", + "issue:45245|issue:45584", + "issue:43650|issue:44220", + "issue:44186|issue:44734", + "issue:41950|issue:44016", + "issue:36246|issue:38617", + "issue:42175|issue:44279", + "issue:44246|issue:45003", + "issue:44683|issue:45446", + "issue:43404|issue:45216", + "issue:38175|issue:43065", + "issue:44016|issue:44220", + "issue:43643|issue:44496", + "issue:44734|issue:45632", + "issue:43854|issue:44964", + "issue:44964|issue:45600", + "issue:44112|issue:44964", + "issue:44561|issue:45632", + "issue:43976|issue:44987", + "issue:42907|issue:43441", + "issue:43531|issue:45600", + "issue:42490|issue:45632", + "issue:43295|issue:45335", + "issue:43526|issue:43901" + ], + "prepared_review_unit_hash": "430f822f5a08977e4b0d65f2688b590435f41c6adf14308e078fca93842f98ea", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36665, + "estimated_input_tokens": 9167, + "estimated_eval_tokens": 18590 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These issues are mostly broad transformer-loading/config/import regressions that look superficially similar but do not share the same concrete bug or code path. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.84, + "canonical_issue_reason": "issue:44964 is the clearest concrete user-facing model-load regression in the set and a reasonable anchor for the cluster\u2019s general load/import failure theme.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44964 has a specific reproducible failure, a named model, and enough detail to serve as the most representative issue here.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:46082", + "right": "issue:46121", + "accept": false, + "reason": "Different config-validation bugs: one rejects head_dim handling in LlamaConfig, the other errors converting rope ignore keys from JSON-loaded lists." + }, + { + "left": "issue:44938", + "right": "issue:45542", + "accept": false, + "reason": "Both involve load/init failures, but one is a Python 3.14 import problem and the other is an installation/backend dependency issue for TensorBoard/TF." + }, + { + "left": "issue:39692", + "right": "issue:44190", + "accept": false, + "reason": "Different failures in different example scripts: a SigLIP2 docs example/model-processor mismatch versus a local dataset loading problem in an image-classification script." + }, + { + "left": "issue:43479", + "right": "issue:45375", + "accept": false, + "reason": "Both are config-field issues, but they affect different model families and different fields; not the same underlying bug." + }, + { + "left": "issue:45276", + "right": "issue:45584", + "accept": false, + "reason": "Unrelated code paths: token embedding resizing in gemma4 versus Whisper generation failing after align_special_tokens." + }, + { + "left": "issue:36246", + "right": "issue:41628", + "accept": false, + "reason": "Both are import errors, but for different symbols and APIs; no evidence they stem from the same missing export." + }, + { + "left": "issue:43295", + "right": "issue:45276", + "accept": false, + "reason": "Processor/tokenizer regression versus gemma4 embedding resize behavior; different subsystems and failure modes." + }, + { + "left": "issue:45245", + "right": "issue:45584", + "accept": false, + "reason": "Category cardinality/runtime encoding error versus Whisper empty-transcription generation bug; unrelated." + }, + { + "left": "issue:43650", + "right": "issue:44220", + "accept": false, + "reason": "No meaningful overlap beyond generic issue wording; insufficient evidence of a shared bug or code path." + }, + { + "left": "issue:44186", + "right": "issue:44734", + "accept": false, + "reason": "Tokenizer padding/NER crash and server KV-cache indexing crash are different bugs in different components." + }, + { + "left": "issue:41950", + "right": "issue:44016", + "accept": false, + "reason": "Video-classification pipeline processor lookup bug versus a notebook syntax error; clearly unrelated." + }, + { + "left": "issue:36246", + "right": "issue:38617", + "accept": false, + "reason": "Separate import failures in different modules: Qwen2_5_VLImageProcessor versus layer_type_validation." + }, + { + "left": "issue:42175", + "right": "issue:44279", + "accept": false, + "reason": "A specific missing TensorFlow backend from a torch-only install is not the same as a generic dependency issue." + }, + { + "left": "issue:44246", + "right": "issue:45003", + "accept": false, + "reason": "Slow import performance and unsafe sys.modules access may both touch imports, but they are not the same concrete bug." + }, + { + "left": "issue:44683", + "right": "issue:45446", + "accept": false, + "reason": "Both mention flex_attention/torch versions, but one is a compiled flex_attention failure on torch>=2.9 and the other is a version-check bug for an AuxRequest import." + }, + { + "left": "issue:43404", + "right": "issue:45216", + "accept": false, + "reason": "Different model-state problems: untied lm_head weights in Mistral3 versus incorrect save_pretrained output for Qwen3.5." + }, + { + "left": "issue:38175", + "right": "issue:43065", + "accept": false, + "reason": "Different models and different symptoms; no shared code path is evident." + }, + { + "left": "issue:44016", + "right": "issue:44220", + "accept": false, + "reason": "Notebook syntax error and audio feature extraction bug are unrelated." + }, + { + "left": "issue:43643", + "right": "issue:44496", + "accept": false, + "reason": "Both concern model/config loading, but one is missing fields with trust_remote_code and the other is an unrecognized model/config.json problem." + }, + { + "left": "issue:44734", + "right": "issue:45632", + "accept": false, + "reason": "Server KV-cache continuation indexing bug versus local trust_remote_code cache-path collision; different behaviors and paths." + }, + { + "left": "issue:43854", + "right": "issue:44964", + "accept": false, + "reason": "Different model-loading failures for different models; no evidence of the same root cause." + }, + { + "left": "issue:44964", + "right": "issue:45600", + "accept": false, + "reason": "Model loading failure for Phi-4-multimodal-instruct versus auto_mappings references to removed Sam3LiteText configs; different breakages." + }, + { + "left": "issue:44112", + "right": "issue:44964", + "accept": false, + "reason": "A CI test flake in GraniteSpeech is not the same as a user-facing Phi-4-multimodal load regression." + }, + { + "left": "issue:44561", + "right": "issue:45632", + "accept": false, + "reason": "Both mention trust_remote_code, but one is breakage from removing is_torch_fx_available and the other is a cache-path collision for local models." + }, + { + "left": "issue:43976", + "right": "issue:44987", + "accept": false, + "reason": "A general Python-version support bug and a specific model-loading failure are not the same underlying issue." + }, + { + "left": "issue:42907", + "right": "issue:43441", + "accept": false, + "reason": "Same model family only, but the bugs are different: saving dequantized models versus FlashAttention failure." + }, + { + "left": "issue:43531", + "right": "issue:45600", + "accept": false, + "reason": "Qwen3-MoE sliding_window behavior and Sam3LiteText auto-mapping cleanup are unrelated." + }, + { + "left": "issue:42490", + "right": "issue:45632", + "accept": false, + "reason": "Both involve local model paths, but one is a trailing-slash warning and the other is a cache-path collision across leaf directory names." + }, + { + "left": "issue:43295", + "right": "issue:45335", + "accept": false, + "reason": "Processor/tokenizer regression and t5gemma embedding-resize bug are distinct model behaviors." + }, + { + "left": "issue:43526", + "right": "issue:43901", + "accept": false, + "reason": "Image-processor label reduction bug and documentation mismatch for TextClassificationPipeline 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": 17, + "review_unit_index": 33, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:38175", + "issue:39692", + "issue:41950", + "issue:43295", + "issue:43299", + "issue:43335", + "issue:43381", + "issue:43479", + "issue:43525", + "issue:43577", + "issue:43650", + "issue:43673", + "issue:43824", + "issue:43854", + "issue:43901", + "issue:43976", + "issue:44016", + "issue:44062", + "issue:44075", + "issue:44242", + "issue:44279", + "issue:44336", + "issue:44351", + "issue:44368", + "issue:44462", + "issue:44496", + "issue:44521", + "issue:44617", + "issue:44683", + "issue:44779", + "issue:44933", + "issue:45020", + "issue:45042", + "issue:45081", + "issue:45200", + "issue:45216", + "issue:45278", + "issue:45325", + "issue:45335", + "issue:45357", + "issue:45405", + "issue:45542", + "issue:45584", + "issue:45593", + "issue:45759", + "issue:45812", + "issue:45823", + "issue:46132" + ], + "soft_pairs": [ + "issue:44496|issue:45042", + "issue:44016|issue:44062", + "issue:43673|issue:44336", + "issue:43335|issue:45593", + "issue:43824|issue:44933", + "issue:44075|issue:44368", + "issue:43299|issue:45216", + "issue:43976|issue:44279", + "issue:43381|issue:45593", + "issue:43901|issue:44496", + "issue:44496|issue:45759", + "issue:45335|issue:45584", + "issue:43479|issue:43525", + "issue:44521|issue:45325", + "issue:44242|issue:45200", + "issue:43299|issue:45357", + "issue:44351|issue:45278", + "issue:43577|issue:45216", + "issue:41950|issue:45020", + "issue:38175|issue:44617", + "issue:41950|issue:45823", + "issue:44779|issue:45812", + "issue:44279|issue:45405", + "issue:39692|issue:43901", + "issue:44683|issue:45542", + "issue:43295|issue:44779", + "issue:43976|issue:45405", + "issue:43299|issue:43854", + "issue:43650|issue:46132", + "issue:44462|issue:45081" + ], + "prepared_review_unit_hash": "8aab79cfa70a733fea1d6ae08b2745f2829d233ee373f2ad9e45c735c9bc9d0f", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36712, + "estimated_input_tokens": 9178, + "estimated_eval_tokens": 18612 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No soft-edge pair looks like a true duplicate or the same fix; the set is mostly heterogeneous regressions, docs issues, and tokenizer/import bugs across different models and code paths.", + "confidence": 0.94, + "canonical_issue_reason": "issue:44521 is the most central user-facing bug in the set: it is open, has the most inbound references, and reports a broad multimodal chat-template failure.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:44521 is the best representative issue to keep because it is actionable, well-scoped, and impacts a common multimodal API path.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44496", + "right": "issue:45042", + "accept": false, + "reason": "Different bugs: model-loading/config resolution versus PIL image processor dependency handling." + }, + { + "left": "issue:44016", + "right": "issue:44062", + "accept": false, + "reason": "Unrelated failures: a notebook syntax error versus an AddedToken constructor keyword collision." + }, + { + "left": "issue:43673", + "right": "issue:44336", + "accept": false, + "reason": "Different subsystems and symptoms: chunked prefill cache plumbing versus ANSI output formatting." + }, + { + "left": "issue:43335", + "right": "issue:45593", + "accept": false, + "reason": "Different model paths and behaviors: SwitchTransformers sparse-layer construction versus D-FINE auxiliary-loss handling." + }, + { + "left": "issue:43824", + "right": "issue:44933", + "accept": false, + "reason": "Both are import-related, but they concern different missing symbols/modules and different underlying fixes." + }, + { + "left": "issue:44075", + "right": "issue:44368", + "accept": false, + "reason": "Optimizer argument usage and a tie_word_embeddings warning are unrelated issues." + }, + { + "left": "issue:43299", + "right": "issue:45216", + "accept": false, + "reason": "Different regression surfaces: Qwen3VL model loading versus Qwen3.5 save_pretrained checkpoint content." + }, + { + "left": "issue:43976", + "right": "issue:44279", + "accept": false, + "reason": "The first is a Python-version compatibility claim; the second is a vague dependency issue with no matching concrete failure." + }, + { + "left": "issue:43381", + "right": "issue:45593", + "accept": false, + "reason": "Gradient-checkpointing eval-mode behavior is unrelated to D-FINE auxiliary losses." + }, + { + "left": "issue:43901", + "right": "issue:44496", + "accept": false, + "reason": "Docs mention of return_all_scores is unrelated to a model import/config error." + }, + { + "left": "issue:44496", + "right": "issue:45759", + "accept": false, + "reason": "Both involve model resolution, but one is a missing model_type import failure and the other is a composite-config unwrap bug." + }, + { + "left": "issue:45335", + "right": "issue:45584", + "accept": false, + "reason": "Tokenizer embedding resize and Whisper empty-transcription generation are different code paths." + }, + { + "left": "issue:43479", + "right": "issue:43525", + "accept": false, + "reason": "Different config initialization bug versus a missing pad_token_id attribute error." + }, + { + "left": "issue:44521", + "right": "issue:45325", + "accept": false, + "reason": "Assistant-mask generation in chat templates and rope-index temporal scaling are distinct multimodal bugs." + }, + { + "left": "issue:44242", + "right": "issue:45200", + "accept": false, + "reason": "Load-balancing loss gating and mm_token_type_ids defaults are separate model-loss/config issues." + }, + { + "left": "issue:43299", + "right": "issue:45357", + "accept": false, + "reason": "Both are Qwen3.5-related, but one is a loading regression and the other is incorrect save_pretrained key serialization." + }, + { + "left": "issue:44351", + "right": "issue:45278", + "accept": false, + "reason": "A specific HybridCache import failure is not the same as a broad collection of import errors." + }, + { + "left": "issue:43577", + "right": "issue:45216", + "accept": false, + "reason": "BLIP2 dtype propagation and Qwen3.5 checkpoint saving are unrelated regressions." + }, + { + "left": "issue:41950", + "right": "issue:45020", + "accept": false, + "reason": "Video-classification processor lookup and remote_code model breakage do not share the same concrete bug." + }, + { + "left": "issue:38175", + "right": "issue:44617", + "accept": false, + "reason": "Zero probabilities in SigLIP2 and Sam3Video OOM are unrelated symptoms and fixes." + }, + { + "left": "issue:41950", + "right": "issue:45823", + "accept": false, + "reason": "Image-processor lookup in video classification is unrelated to Gemma4 device-map placement." + }, + { + "left": "issue:44779", + "right": "issue:45812", + "accept": false, + "reason": "Different tokenizer regressions affecting different model families; not the same underlying bug." + }, + { + "left": "issue:44279", + "right": "issue:45405", + "accept": false, + "reason": "A general dependency issue is not the same as a PEFT minimum-version bump." + }, + { + "left": "issue:39692", + "right": "issue:43901", + "accept": false, + "reason": "Both are documentation-related, but they refer to different docs and different failures." + }, + { + "left": "issue:44683", + "right": "issue:45542", + "accept": false, + "reason": "Compiled flex_attention on torch>=2.9 and a missing TensorFlow backend are unrelated." + }, + { + "left": "issue:43295", + "right": "issue:44779", + "accept": false, + "reason": "Processor/tokenizer API regression versus Deepseek tokenization output regression are different bugs." + }, + { + "left": "issue:43976", + "right": "issue:45405", + "accept": false, + "reason": "Python support mismatch and unreleased PEFT version pin are unrelated dependency problems." + }, + { + "left": "issue:43299", + "right": "issue:43854", + "accept": false, + "reason": "Different Qwen-related loading/import failures for different models and failure modes." + }, + { + "left": "issue:43650", + "right": "issue:46132", + "accept": false, + "reason": "A placeholder data issue and an AttentionInterface.register behavior change are unrelated." + }, + { + "left": "issue:44462", + "right": "issue:45081", + "accept": false, + "reason": "Tokenizer.json precedence and a Mistral regex patch crash are different tokenizer-loading 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": 17, + "review_unit_index": 34, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:33290", + "issue:41950", + "issue:42175", + "issue:42994", + "issue:43065", + "issue:43262", + "issue:43317", + "issue:43441", + "issue:43450", + "issue:43650", + "issue:43653", + "issue:43673", + "issue:43723", + "issue:43761", + "issue:43784", + "issue:43824", + "issue:43901", + "issue:43976", + "issue:43994", + "issue:44016", + "issue:44162", + "issue:44261", + "issue:44263", + "issue:44279", + "issue:44291", + "issue:44297", + "issue:44361", + "issue:44462", + "issue:44466", + "issue:44521", + "issue:44617", + "issue:44623", + "issue:44671", + "issue:44683", + "issue:44749", + "issue:44779", + "issue:44898", + "issue:45081", + "issue:45276", + "issue:45397", + "issue:45542", + "issue:45593", + "issue:45600", + "issue:45656", + "issue:45712", + "issue:45823", + "issue:45834", + "issue:45907" + ], + "soft_pairs": [ + "issue:43450|issue:44279", + "issue:44297|issue:44462", + "issue:45081|issue:45907", + "issue:44016|issue:44291", + "issue:43441|issue:45834", + "issue:41950|issue:43650", + "issue:44466|issue:45276", + "issue:45600|issue:45712", + "issue:42994|issue:43317", + "issue:33290|issue:45656", + "issue:43653|issue:45593", + "issue:44623|issue:44749", + "issue:44623|issue:45397", + "issue:43065|issue:44898", + "issue:44261|issue:44263", + "issue:43441|issue:44683", + "issue:44016|issue:45823", + "issue:44361|issue:45593", + "issue:43723|issue:44162", + "issue:42175|issue:43976", + "issue:44671|issue:44779", + "issue:43262|issue:44521", + "issue:43901|issue:43994", + "issue:43673|issue:43761", + "issue:43784|issue:45542", + "issue:43824|issue:43976", + "issue:44297|issue:45397", + "issue:43450|issue:44617" + ], + "prepared_review_unit_hash": "fbae76c87136d040cc365101d3d2bb364b54bd1d1d2fe78612ae157c4fce5da9", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 35994, + "estimated_input_tokens": 8999, + "estimated_eval_tokens": 18254 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This is a very heterogeneous similarity cluster: tokenizer I/O, processor/chat-template bugs, quantization/load issues, vision/audio regressions, DeepSpeed optimizer problems, and unrelated docs/CI items. None of the soft-edge pairs look like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "There is no strong single canonical issue for the whole cluster; if forced to anchor a subgroup, issue 44462 (\"AutoTokenizer ignores tokenizer.json from the repository\") is the most concrete and broadly representative tokenizer-loading regression. Even so, the cluster is too mixed to treat it as the true canonical for all items.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44462 is the best issue anchor only in a narrow tokenizer-loading sense: it is concrete, user-facing, and closest to the other tokenizer-related reports. It is not a good global representative of this cluster because most items are unrelated.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43450 \u2013 Video processors return incorrect shape when input is batched", + "right": "issue:44279 \u2013 Dependency issue with transformers", + "accept": false, + "reason": "Different problem domains: a batched video-processor shape bug vs a generic dependency complaint. No shared code-path." + }, + { + "left": "issue:44297 \u2013 tokenizer.save_pretrained: tokenizer_class in tokenizer_config.json doesn't match the original", + "right": "issue:44462 \u2013 AutoTokenizer ignores tokenizer.json from the repository", + "accept": false, + "reason": "Both are tokenizer-related, but one is save/serialization metadata and the other is load-time file selection. Related area, not the same bug." + }, + { + "left": "issue:45081 \u2013 _patch_mistral_regex crashes with AttributeError on loading Mistral tokenizer with fix_mistral_regex=True", + "right": "issue:45907 \u2013 list_repo_files should forward the revision argument", + "accept": false, + "reason": "Unrelated utility/CI issue vs tokenizer regex patch crash. Different APIs and failure modes." + }, + { + "left": "issue:44016 \u2013 Syntax error in Transformer section 3 notebook", + "right": "issue:44291 \u2013 TypeError when loading model with init_empty_weights due to unexpected _is_hf_initialized argument", + "accept": false, + "reason": "Docs/notebook syntax issue vs model-loading API regression. Not the same underlying bug." + }, + { + "left": "issue:43441 \u2013 Ministral-3 fails with FlashAttention in Transformers v5 RC", + "right": "issue:45834 \u2013 Kosmos2.5: index error on long ocr input", + "accept": false, + "reason": "Both are model runtime failures, but the model, trigger, and stack are different; no evidence of a shared code-path." + }, + { + "left": "issue:41950 \u2013 video-classification pipeline looks for image processors", + "right": "issue:43650 \u2013 ADD THE DATA", + "accept": false, + "reason": "The second issue is too vague and does not describe the same concrete pipeline bug." + }, + { + "left": "issue:44466 \u2013 Inconsistent serialization of lm_head.weight depending on model device", + "right": "issue:45276 \u2013 resize_token_embeddings does not affect embed_tokens_per_layer or output_embeddings", + "accept": false, + "reason": "Both touch Gemma4/model weight handling, but one is serialization/tied-weights behavior and the other is embedding resize propagation. Different defects." + }, + { + "left": "issue:45600 \u2013 auto_mappings.py references removed Sam3LiteText configs", + "right": "issue:45712 \u2013 leftover dummy classes in dummy_pt_objects.py fail check_repo.py", + "accept": false, + "reason": "Both are maintenance/CI cleanup issues, but they involve different files and independent breakages." + }, + { + "left": "issue:42994 \u2013 quantized model saving failed", + "right": "issue:43317 \u2013 device_map=auto fails to load the dequantized model on gpu+cpu offload", + "accept": false, + "reason": "Save-time quantization failure vs load-time/offload placement failure. Same broad area, not the same bug." + }, + { + "left": "issue:33290 \u2013 oom when using adafactor optimizer in deepspeed", + "right": "issue:45656 \u2013 Optimizer step being called 2 times when using deepspeed", + "accept": false, + "reason": "Both mention DeepSpeed, but one is OOM with Adafactor and the other is double-stepping. Different concrete issues." + }, + { + "left": "issue:43653 \u2013 BigBirdTokenizer mask token not registered as special token, gives empty decode output", + "right": "issue:45593 \u2013 D-FINE not using any auxiliary losses when denoising is turned off", + "accept": false, + "reason": "Tokenizer special-token registration bug vs model training-loss behavior. No shared bug." + }, + { + "left": "issue:44623 \u2013 processor.save_pretrained(...) missing files", + "right": "issue:44749 \u2013 Transformer upgrade makes filtering data much slower", + "accept": false, + "reason": "Save-pretrained file emission vs performance regression in filtering. Unrelated." + }, + { + "left": "issue:44623 \u2013 processor.save_pretrained(...) missing files", + "right": "issue:45397 \u2013 gemma-4 zero3 from_pretrained", + "accept": false, + "reason": "Processor save bug vs Gemma-4 DeepSpeed zero3 loading issue. Different code paths." + }, + { + "left": "issue:43065 \u2013 Dummy nn.Conv2d in Sam3PixelDecoder", + "right": "issue:44898 \u2013 Perceiver image classification non-default res fails even with interpolate_pos_encoding=True", + "accept": false, + "reason": "Both are vision-model bugs, but one is a dummy layer placeholder and the other is resolution/interpolation handling. Not the same issue." + }, + { + "left": "issue:44261 \u2013 MLA q_a_layernorm missing config.rms_norm_eps", + "right": "issue:44263 \u2013 The torch.split() return values in GlmMoeDsaIndexer", + "accept": false, + "reason": "Unrelated model-specific numerical/config bug vs tensor split semantics." + }, + { + "left": "issue:43441 \u2013 Ministral-3 fails with FlashAttention in Transformers v5 RC", + "right": "issue:44683 \u2013 Compiled flex_attention fails on torch >= 2.9", + "accept": false, + "reason": "Both involve attention backends, but one is a model-specific FlashAttention regression and the other is a torch-version compiled flex_attention incompatibility." + }, + { + "left": "issue:44016 \u2013 Syntax error in Transformer section 3 notebook", + "right": "issue:45823 \u2013 Gemma4 PLE device mismatch with device_map=\"auto\" during forward", + "accept": false, + "reason": "Notebook syntax/docs issue vs runtime device-placement bug. Different artifacts." + }, + { + "left": "issue:44361 \u2013 MLukeTokenizer fails with AttributeError on tasks", + "right": "issue:45593 \u2013 D-FINE not using any auxiliary losses when denoising is turned off", + "accept": false, + "reason": "Tokenizer task failure vs detection-loss behavior. No meaningful overlap." + }, + { + "left": "issue:43723 \u2013 Issue loading tokenizer using AutoTokenizer.from_pretrained in v5", + "right": "issue:44162 \u2013 ESM2 is broken, impacting 1000s of scientists workflows", + "accept": false, + "reason": "Tokenizer-loading regression vs ESM2 model breakage. Same library, different underlying defects." + }, + { + "left": "issue:42175 \u2013 Tensorflow not include in the backend when using pip install '.[torch]'", + "right": "issue:43976 \u2013 Transformers 5.1.0 does not work with Python3.9+ but Python3.10+", + "accept": false, + "reason": "Dependency/extras installation issue vs Python-version compatibility issue. Not the same bug." + }, + { + "left": "issue:44671 \u2013 CamemBERT produces incorrect masked LM predictions in v5", + "right": "issue:44779 \u2013 Deepseek tokenizer produces incorrect results as of v5", + "accept": false, + "reason": "Both are v5 regressions, but one is CamemBERT masked-LM predictions and the other is Deepseek tokenizer behavior. Different failure surfaces." + }, + { + "left": "issue:43262 \u2013 Audio processors: apply_chat_template() defaults to 16kHz sampling rate", + "right": "issue:44521 \u2013 apply_chat_template returns all-zero assistant_masks for multimodal inputs", + "accept": false, + "reason": "Both mention apply_chat_template, but one is audio sampling-rate defaulting and the other is multimodal assistant-mask generation. Different bugs." + }, + { + "left": "issue:43901 \u2013 TextClassificationPipeline docs still mention return_all_scores, but behavior differs", + "right": "issue:43994 \u2013 google/siglip2-base-patch16-224 produces nonsensical results with AutoModel and pipeline", + "accept": false, + "reason": "Docs mismatch vs incorrect model output. The shared pipeline mention is too broad to treat as a duplicate." + }, + { + "left": "issue:43673 \u2013 GenerationMixin cache missing in v5.0.0 during chunked_prefill", + "right": "issue:43761 \u2013 CLIPVisionModel.forward returns hidden_states=None even when output_hidden_states=True", + "accept": false, + "reason": "Both are v5 regressions, but one is generation cache handling and the other is vision model hidden-state outputs. Different code paths." + }, + { + "left": "issue:43784 \u2013 NameError: name 'nn' is not defined when importing sentence-transformers with latest transformers", + "right": "issue:45542 \u2013 Only tensorboard is installed without TensorFlow, causing undefined tf backend error", + "accept": false, + "reason": "Both are optional-backend/import issues, but they involve different missing dependencies and different failure points." + }, + { + "left": "issue:43824 \u2013 ImportError: cannot import name 'Qwen2_5_VLForConditionalGeneration' from 'transformers'", + "right": "issue:43976 \u2013 Transformers 5.1.0 does not work with Python3.9+ but Python3.10+", + "accept": false, + "reason": "Missing class export/import issue vs Python version compatibility issue. Not duplicates." + }, + { + "left": "issue:44297 \u2013 tokenizer.save_pretrained: tokenizer_class in tokenizer_config.json doesn't match the original", + "right": "issue:45397 \u2013 gemma-4 zero3 from_pretrained", + "accept": false, + "reason": "Tokenizer serialization metadata bug vs model loading with zero3. Different concerns." + }, + { + "left": "issue:43450 \u2013 Video processors return incorrect shape when input is batched", + "right": "issue:44617 \u2013 Sam3Video: CUDA out of memory", + "accept": false, + "reason": "Both are video-related, but one is an output-shape bug and the other is memory exhaustion. No shared 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": 17, + "review_unit_index": 35, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36246", + "issue:41628", + "issue:41950", + "issue:42491", + "issue:42757", + "issue:42886", + "issue:43299", + "issue:43352", + "issue:43525", + "issue:43526", + "issue:43531", + "issue:43596", + "issue:43643", + "issue:43673", + "issue:43881", + "issue:43901", + "issue:43976", + "issue:44162", + "issue:44188", + "issue:44220", + "issue:44242", + "issue:44246", + "issue:44295", + "issue:44336", + "issue:44351", + "issue:44373", + "issue:44485", + "issue:44496", + "issue:44561", + "issue:44589", + "issue:44749", + "issue:44779", + "issue:44857", + "issue:44871", + "issue:44877", + "issue:45003", + "issue:45200", + "issue:45250", + "issue:45292", + "issue:45362", + "issue:45375", + "issue:45397", + "issue:45412", + "issue:45561", + "issue:45563", + "issue:45593", + "issue:46123", + "issue:46132" + ], + "soft_pairs": [ + "issue:43525|issue:43881", + "issue:43901|issue:44246", + "issue:43525|issue:43643", + "issue:44188|issue:44336", + "issue:44589|issue:45362", + "issue:41628|issue:43976", + "issue:42491|issue:43299", + "issue:45561|issue:45563", + "issue:44336|issue:44373", + "issue:44295|issue:45397", + "issue:44242|issue:45593", + "issue:44246|issue:44496", + "issue:41950|issue:44220", + "issue:43531|issue:45362", + "issue:43526|issue:45003", + "issue:42886|issue:46132", + "issue:36246|issue:42757", + "issue:36246|issue:44351", + "issue:44336|issue:44485", + "issue:44246|issue:44871", + "issue:45003|issue:45561", + "issue:43673|issue:44561", + "issue:44242|issue:44857", + "issue:36246|issue:43596", + "issue:44779|issue:45292", + "issue:44295|issue:44749", + "issue:43352|issue:45250", + "issue:44162|issue:45200", + "issue:43901|issue:45003", + "issue:45412|issue:46123", + "issue:44496|issue:45003", + "issue:44877|issue:45375" + ], + "prepared_review_unit_hash": "cf4eacca07be7cf678fef5b190342fe6c1d7f1459e4e856e1f7af2486ce325e7", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 36987, + "estimated_input_tokens": 9247, + "estimated_eval_tokens": 18750 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is highly heterogeneous: most pairs are only superficially similar (imports, config loading, or generic model bugs) but do not describe the same underlying defect or change. No soft pair is a safe duplicate merge.", + "confidence": 0.87, + "canonical_issue_reason": "Issue 44246 is the broadest, most cross-cutting report in the set; it is the closest thing to a cluster anchor, but the surrounding issues are not true duplicates of it.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44246 is the most generally representative and high-impact issue here, though the cluster overall is not a single duplicate family.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43525", + "right": "issue:43881", + "accept": false, + "reason": "Different models and different failures: Llama4 config attr error vs GLM-4V loading failure." + }, + { + "left": "issue:43901", + "right": "issue:44246", + "accept": false, + "reason": "Docs mismatch for TextClassificationPipeline vs import-time performance complaint; unrelated bugs." + }, + { + "left": "issue:43525", + "right": "issue:43643", + "accept": false, + "reason": "Both are config-related, but one is a missing pad_token_id attr and the other is trust_remote_code dropping fields; not the same bug." + }, + { + "left": "issue:44188", + "right": "issue:44336", + "accept": false, + "reason": "Attention-kernel divergence under torch.compile is unrelated to ANSI codes in loading_report." + }, + { + "left": "issue:44589", + "right": "issue:45362", + "accept": false, + "reason": "Different runtime errors on different model paths; no shared code-path bug is evident." + }, + { + "left": "issue:41628", + "right": "issue:43976", + "accept": false, + "reason": "ImportError for AutoImageProcessor is not the same as Python-version compatibility breaking Transformers." + }, + { + "left": "issue:42491", + "right": "issue:43299", + "accept": false, + "reason": "Both mention Qwen3 MoE, but one is an hf4.x/hf5.x LoRA compatibility issue and the other is a v5.0.0.dev0 Qwen3VL loading breakage." + }, + { + "left": "issue:45561", + "right": "issue:45563", + "accept": false, + "reason": "A pytest-xdist file race and a stale generation warning are unrelated." + }, + { + "left": "issue:44336", + "right": "issue:44373", + "accept": false, + "reason": "Terminal ANSI output bug vs a wrong docstring; not the same underlying change." + }, + { + "left": "issue:44295", + "right": "issue:45397", + "accept": false, + "reason": "Position_ids buffer access error and gemma-4 zero3 loading are different code paths." + }, + { + "left": "issue:44242", + "right": "issue:45593", + "accept": false, + "reason": "Both concern missing loss terms, but they affect different models and mechanisms; too broad to merge." + }, + { + "left": "issue:44246", + "right": "issue:44496", + "accept": false, + "reason": "Import performance issue vs unrecognized model/config_type error; unrelated." + }, + { + "left": "issue:41950", + "right": "issue:44220", + "accept": false, + "reason": "Video-classification image-processor lookup and audio fbank extraction are different pipelines." + }, + { + "left": "issue:43531", + "right": "issue:45362", + "accept": false, + "reason": "Both involve Qwen variants, but one is a sliding_window bug and the other is a chat crash; different fixes." + }, + { + "left": "issue:43526", + "right": "issue:45003", + "accept": false, + "reason": "BeitImageProcessorFast label reduction bug is unrelated to sys.modules access in modeling_utils." + }, + { + "left": "issue:42886", + "right": "issue:46132", + "accept": false, + "reason": "Offline cache loading and AttentionInterface.register behavior are unrelated." + }, + { + "left": "issue:36246", + "right": "issue:42757", + "accept": false, + "reason": "Both are import errors, but for different symbols and different subsystems." + }, + { + "left": "issue:36246", + "right": "issue:44351", + "accept": false, + "reason": "Different missing exports: Qwen2_5_VLImageProcessor vs HybridCache." + }, + { + "left": "issue:44336", + "right": "issue:44485", + "accept": false, + "reason": "ANSI rendering bug vs GLM-5 RoPE implementation discussion; no shared defect." + }, + { + "left": "issue:44246", + "right": "issue:44871", + "accept": false, + "reason": "Import-time slowdown and Gemma eos_token_id inconsistency are unrelated." + }, + { + "left": "issue:45003", + "right": "issue:45561", + "accept": false, + "reason": "Unsafe sys.modules access and xdist file races are unrelated." + }, + { + "left": "issue:43673", + "right": "issue:44561", + "accept": false, + "reason": "Generation cache missing in chunked_prefill and removal of is_torch_fx_available break different APIs." + }, + { + "left": "issue:44242", + "right": "issue:44857", + "accept": false, + "reason": "Different auxiliary-loss/AMP crashes in different models; not the same bug." + }, + { + "left": "issue:36246", + "right": "issue:43596", + "accept": false, + "reason": "ImportError for a vision processor is unrelated to a Deepspeed/BertModel index error." + }, + { + "left": "issue:44779", + "right": "issue:45292", + "accept": false, + "reason": "Tokenizer regression and resize_token_embeddings not updating output embeddings are different issues." + }, + { + "left": "issue:44295", + "right": "issue:44749", + "accept": false, + "reason": "Position_ids buffer handling and data-filtering slowdown are unrelated." + }, + { + "left": "issue:43352", + "right": "issue:45250", + "accept": false, + "reason": "Model-specific Flash Attention unsupported vs a generic Flash Attention 2.0 topic; not the same fix." + }, + { + "left": "issue:44162", + "right": "issue:45200", + "accept": false, + "reason": "ESM2 breakage and Gemma 4 mm_token_type_ids defaulting are unrelated model bugs." + }, + { + "left": "issue:43901", + "right": "issue:45003", + "accept": false, + "reason": "Pipeline docs issue vs sys.modules access bug; different code areas." + }, + { + "left": "issue:45412", + "right": "issue:46123", + "accept": false, + "reason": "Memory cleanup after deletion and partial-batch is_last handling are unrelated." + }, + { + "left": "issue:44496", + "right": "issue:45003", + "accept": false, + "reason": "Unrecognized model/config loading and sys.modules access are different failure modes." + }, + { + "left": "issue:44877", + "right": "issue:45375", + "accept": false, + "reason": "Both involve strict config, but one blocks granite_speech loading while the other silently drops a field in Qwen3_5MoeVisionConfig; 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": 17, + "review_unit_index": 36, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:42886", + "issue:43065", + "issue:43232", + "issue:43257", + "issue:43262", + "issue:43408", + "issue:43475", + "issue:43540", + "issue:43653", + "issue:43673", + "issue:43931", + "issue:44060", + "issue:44077", + "issue:44162", + "issue:44188", + "issue:44246", + "issue:44336", + "issue:44368", + "issue:44466", + "issue:44479", + "issue:44483", + "issue:44530", + "issue:44734", + "issue:44877", + "issue:44933", + "issue:44977", + "issue:44987", + "issue:44995", + "issue:45137", + "issue:45200", + "issue:45229", + "issue:45292", + "issue:45335", + "issue:45375", + "issue:45397", + "issue:45459", + "issue:45563", + "issue:45584", + "issue:45588", + "issue:45600", + "issue:45656", + "issue:45701", + "issue:45759", + "issue:45987", + "issue:46082", + "issue:46123", + "issue:46170", + "issue:46202" + ], + "soft_pairs": [ + "issue:45987|issue:46082", + "issue:43262|issue:44246", + "issue:45375|issue:45759", + "issue:43257|issue:45137", + "issue:45292|issue:45584", + "issue:45292|issue:45701", + "issue:44987|issue:45459", + "issue:43232|issue:44336", + "issue:44995|issue:45200", + "issue:44479|issue:46170", + "issue:43065|issue:43408", + "issue:43475|issue:43540", + "issue:44466|issue:45335", + "issue:44483|issue:46202", + "issue:42886|issue:45229", + "issue:45397|issue:45656", + "issue:44188|issue:46202", + "issue:44060|issue:44077", + "issue:43653|issue:44162", + "issue:44995|issue:45588", + "issue:44368|issue:44977", + "issue:45137|issue:45600", + "issue:44368|issue:45563", + "issue:44877|issue:46170", + "issue:43673|issue:44734", + "issue:43931|issue:44368", + "issue:44530|issue:46170", + "issue:43065|issue:46123", + "issue:44933|issue:45459" + ], + "prepared_review_unit_hash": "e1f61cacba98cbecd17dcba9ae163712b92d20e1895ec4f0c8375c55fb74d60a", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36417, + "estimated_input_tokens": 9105, + "estimated_eval_tokens": 18466 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated bug reports with title-level keyword overlap only. None of the soft pairs look like the same underlying issue or fix path, so there is no true duplicate cluster here.", + "confidence": 0.95, + "canonical_issue_reason": "No single canonical issue: the items span unrelated areas (tokenizers, generation/cache, multimodal configs, SAM3, DeepSpeed, import/runtime warnings), so there is no clear duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a good global representative because the cluster is heterogeneous; any one choice would misrepresent the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45987", + "right": "issue:46082", + "accept": false, + "reason": "Cache-return type bug vs LlamaConfig head_dim validation; different components and failure modes." + }, + { + "left": "issue:43262", + "right": "issue:44246", + "accept": false, + "reason": "Audio chat-template sampling-rate default vs import-time performance; unrelated concerns." + }, + { + "left": "issue:45375", + "right": "issue:45759", + "accept": false, + "reason": "Missing config field dropped by @strict vs from_config unwrapping composite text_config; both config-related but different bugs." + }, + { + "left": "issue:43257", + "right": "issue:45137", + "accept": false, + "reason": "MOE weight conversion under accelerate+deepspeed vs ZeRO3 deque IndexError; different code paths and symptoms." + }, + { + "left": "issue:45292", + "right": "issue:45584", + "accept": false, + "reason": "Embedding resize propagation vs Whisper empty-transcription generation failure; unrelated." + }, + { + "left": "issue:45292", + "right": "issue:45701", + "accept": false, + "reason": "resize_token_embeddings propagation bug vs version-dependent tokenization changes; not the same issue." + }, + { + "left": "issue:44987", + "right": "issue:45459", + "accept": false, + "reason": "Model load failure for a specific repo vs tokenizer error masking when protobuf is absent; different root causes." + }, + { + "left": "issue:43232", + "right": "issue:44336", + "accept": false, + "reason": "Generation kwargs update after sync_gpus vs ANSI output formatting in loading_report; unrelated." + }, + { + "left": "issue:44995", + "right": "issue:45200", + "accept": false, + "reason": "GlmMoeDsa stale cache on second forward vs Gemma4 mm_token_type_ids defaulting; different subsystems." + }, + { + "left": "issue:44479", + "right": "issue:46170", + "accept": false, + "reason": "Video-input regression in Qwen models vs Windows ROCm import/dependency issue; unrelated." + }, + { + "left": "issue:43065", + "right": "issue:43408", + "accept": false, + "reason": "Dummy Conv2d in SAM3 pixel decoder vs SAM3 model-type warning; same broad family but not the same bug." + }, + { + "left": "issue:43475", + "right": "issue:43540", + "accept": false, + "reason": "Missing Sam3VisionEncoderOutput attribute vs Qwen3OmniMoe video processing ValueError; different models and failures." + }, + { + "left": "issue:44466", + "right": "issue:45335", + "accept": false, + "reason": "Device-dependent tied-weight serialization vs resize_token_embeddings not updating decoder embeddings; related theme, different concrete bugs." + }, + { + "left": "issue:44483", + "right": "issue:46202", + "accept": false, + "reason": "Chat/completions request rejection vs Gemma pipeline roundtrip tokenization failure; unrelated API vs tokenizer bug." + }, + { + "left": "issue:42886", + "right": "issue:45229", + "accept": false, + "reason": "Offline tokenizer cache load failure vs Gemma4 multi-GPU CUDA OOM; clearly different problems." + }, + { + "left": "issue:45397", + "right": "issue:45656", + "accept": false, + "reason": "Gemma4 zero3 from_pretrained issue vs optimizer.step called twice under deepspeed; different deepspeed behavior." + }, + { + "left": "issue:44188", + "right": "issue:46202", + "accept": false, + "reason": "torch.compile attention-kernel divergence vs token roundtrip failure; unrelated." + }, + { + "left": "issue:44060", + "right": "issue:44077", + "accept": false, + "reason": "Incorrect tied-weights warning vs patchtsmixer post_init policy; different validation paths." + }, + { + "left": "issue:43653", + "right": "issue:44162", + "accept": false, + "reason": "BigBirdTokenizer special-token registration bug vs ESM2 model breakage; unrelated." + }, + { + "left": "issue:44995", + "right": "issue:45588", + "accept": false, + "reason": "Stale indexer cache on second forward vs flash_attention AttributeError on s_aux=None; different bugs." + }, + { + "left": "issue:44368", + "right": "issue:44977", + "accept": false, + "reason": "Warning about tie_word_embeddings in fine-tuning vs actual flash-attention generation failure; not the same issue." + }, + { + "left": "issue:45137", + "right": "issue:45600", + "accept": false, + "reason": "DeepSpeed ZeRO3 deque error vs auto_mappings referencing removed SAM3LiteText configs; unrelated." + }, + { + "left": "issue:44368", + "right": "issue:45563", + "accept": false, + "reason": "Tie-word-embeddings warning vs stale num_return_sequences warning in paged generate; different warnings and triggers." + }, + { + "left": "issue:44877", + "right": "issue:46170", + "accept": false, + "reason": "Strict config rejecting granite_speech vs Windows ROCm distributed import failure; unrelated." + }, + { + "left": "issue:43673", + "right": "issue:44734", + "accept": false, + "reason": "Missing cache in GenerationMixin during chunked_prefill vs wrong tensor indexing in /v1/responses KV continuation; both cache-related but distinct bugs." + }, + { + "left": "issue:43931", + "right": "issue:44368", + "accept": false, + "reason": "Qwen3-VL weight-shape mismatch on load vs tie_word_embeddings warning in Qwen3.5 fine-tuning; unrelated." + }, + { + "left": "issue:44530", + "right": "issue:46170", + "accept": false, + "reason": "PagedAttentionCache invalid group type on Qwen3.5 vs Windows ROCm import error; different layers entirely." + }, + { + "left": "issue:43065", + "right": "issue:46123", + "accept": false, + "reason": "SAM3 pixel decoder dummy layer vs MaskGenerationPipeline final-batch result drop; unrelated." + }, + { + "left": "issue:44933", + "right": "issue:45459", + "accept": false, + "reason": "Nonexistent image_utils import vs protobuf error masking in tokenizer load; different modules and 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": 17, + "review_unit_index": 37, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28282", + "issue:30990", + "issue:41628", + "issue:42371", + "issue:42673", + "issue:42831", + "issue:42994", + "issue:43232", + "issue:43475", + "issue:43482", + "issue:43525", + "issue:43643", + "issue:43646", + "issue:43673", + "issue:43701", + "issue:43704", + "issue:43873", + "issue:44038", + "issue:44162", + "issue:44188", + "issue:44222", + "issue:44297", + "issue:44351", + "issue:44361", + "issue:44623", + "issue:44661", + "issue:44749", + "issue:44869", + "issue:44871", + "issue:44933", + "issue:44945", + "issue:45081", + "issue:45092", + "issue:45103", + "issue:45230", + "issue:45278", + "issue:45310", + "issue:45356", + "issue:45375", + "issue:45381", + "issue:45397", + "issue:45406", + "issue:45478", + "issue:45656", + "issue:46077", + "issue:46123", + "issue:46132", + "issue:46202" + ], + "soft_pairs": [ + "issue:44297|issue:44623", + "issue:44869|issue:45356", + "issue:44361|issue:44749", + "issue:43646|issue:44162", + "issue:43232|issue:43673", + "issue:44623|issue:45656", + "issue:44749|issue:45656", + "issue:44871|issue:46132", + "issue:43673|issue:45278", + "issue:43701|issue:44749", + "issue:42994|issue:43482", + "issue:43475|issue:45381", + "issue:45230|issue:45397", + "issue:43475|issue:43643", + "issue:28282|issue:30990", + "issue:44038|issue:44623", + "issue:45406|issue:46202", + "issue:46077|issue:46123", + "issue:41628|issue:44933", + "issue:42371|issue:45092", + "issue:43475|issue:44661", + "issue:45375|issue:45478", + "issue:42994|issue:43525", + "issue:45081|issue:45103", + "issue:45310|issue:45375", + "issue:43873|issue:44945", + "issue:41628|issue:44351", + "issue:43232|issue:44188", + "issue:42673|issue:43704", + "issue:42831|issue:44222" + ], + "prepared_review_unit_hash": "44a2fd77b4ff511baa1ca76b5d3cd5f2a6a702975a43f3bb5fc4b8139142c89b", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 30, + "serialized_chars": 36389, + "estimated_input_tokens": 9098, + "estimated_eval_tokens": 18452 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly a heterogeneous Transformers issue cluster spanning import errors, tokenizer/config regressions, generation bugs, and model-specific failures. There are at least two duplicate-like pockets: the Qwen3ForCausalLM VRAM-leak pair (42673/43704) and an exact Qwen3.5 Moe title duplicate pair (45310/45478), but most other pairs are not the same underlying bug.", + "confidence": 0.79, + "canonical_issue_reason": "issue:42673 is the strongest canonical anchor for one true duplicate pocket because it has the clearest, most specific bug description (Qwen3ForCausalLM VRAM leak in multiple dataloader threads) and a later duplicate in 43704. The cluster also contains an exact Qwen3.5 Moe duplicate pair (45310/45478), but that is a separate smaller pocket.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45278 is the best global representative because it is the broadest umbrella-style regression report in the set and sits near the center of the upgrade/import-failure theme, while many others are narrower model- or path-specific bugs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44297", + "right": "issue:44623", + "accept": false, + "reason": "Both involve save_pretrained, but one is a tokenizer_config mismatch and the other is missing processor files; different bugs." + }, + { + "left": "issue:44869", + "right": "issue:45356", + "accept": false, + "reason": "Whisper timestamp decoding crash and Kimi tokenizer regression are unrelated code paths." + }, + { + "left": "issue:44361", + "right": "issue:44749", + "accept": false, + "reason": "MLukeTokenizer AttributeError and a 10x filtering slowdown are different failure modes." + }, + { + "left": "issue:43646", + "right": "issue:44162", + "accept": false, + "reason": "Custom model initialization breakage and ESM2 being broken are separate model-specific issues." + }, + { + "left": "issue:43232", + "right": "issue:43673", + "accept": false, + "reason": "Both touch generation, but sync_gpus kwargs handling and missing GenerationMixin cache in chunked_prefill are distinct problems." + }, + { + "left": "issue:44623", + "right": "issue:45656", + "accept": false, + "reason": "Processor save_pretrained file loss and deepspeed optimizer stepping are unrelated." + }, + { + "left": "issue:44749", + "right": "issue:45656", + "accept": false, + "reason": "A filtering performance regression is not the same as the deepspeed double-step bug." + }, + { + "left": "issue:44871", + "right": "issue:46132", + "accept": false, + "reason": "Gemma eos_token_id inconsistency and AttentionInterface.register behavior changes are different issues." + }, + { + "left": "issue:43673", + "right": "issue:45278", + "accept": false, + "reason": "A specific generation-cache bug is not the same as broad import failures after upgrade." + }, + { + "left": "issue:43701", + "right": "issue:44749", + "accept": false, + "reason": "Checkpoint key mismatch and dataloader filtering slowdown are unrelated." + }, + { + "left": "issue:42994", + "right": "issue:43482", + "accept": false, + "reason": "Quantized model saving failure and Qwen2.5-GGUF loading failure are different code paths." + }, + { + "left": "issue:43475", + "right": "issue:45381", + "accept": false, + "reason": "SAM3 vision encoder missing attribute and Qwen2.5-VL video position-id bug are unrelated models." + }, + { + "left": "issue:45230", + "right": "issue:45397", + "accept": false, + "reason": "The generic bug report does not establish the same issue as the Gemma-4 ZeRO3 from_pretrained failure." + }, + { + "left": "issue:43475", + "right": "issue:43643", + "accept": false, + "reason": "Different problems: missing fpn_position_embeddings vs trust_remote_code returning incomplete configs." + }, + { + "left": "issue:28282", + "right": "issue:30990", + "accept": false, + "reason": "Missing PyTorch import error and Sentence Transformers hanging on load are not the same bug." + }, + { + "left": "issue:44038", + "right": "issue:44623", + "accept": false, + "reason": "Qwen3-VL-Moe v5 incompatibility and processor.save_pretrained missing files are unrelated." + }, + { + "left": "issue:45406", + "right": "issue:46202", + "accept": false, + "reason": "Gemma4Processor missing _tokenizer and Gemma pipeline roundtrip failure are different issues." + }, + { + "left": "issue:46077", + "right": "issue:46123", + "accept": false, + "reason": "Bidirectional-attention masking and partial-batch result dropping are different pipeline behaviors." + }, + { + "left": "issue:41628", + "right": "issue:44933", + "accept": false, + "reason": "Both are import errors, but they refer to different missing symbols/modules and do not appear to share one fix." + }, + { + "left": "issue:42371", + "right": "issue:45092", + "accept": false, + "reason": "TF32 settings guidance and InternVL2 meta-initialization incompatibility are unrelated." + }, + { + "left": "issue:43475", + "right": "issue:44661", + "accept": false, + "reason": "A model output attribute bug and a tokenizer-mapping add-new-model-like failure are different code paths." + }, + { + "left": "issue:45375", + "right": "issue:45478", + "accept": false, + "reason": "Related Qwen3.5 Moe titles, but one is a specific config-field loss under strict serialization and the other is a broader from_pretrained failure; not enough to call them the same bug." + }, + { + "left": "issue:42994", + "right": "issue:43525", + "accept": false, + "reason": "Quantized save failure and Llama4Config missing pad_token_id are separate regressions." + }, + { + "left": "issue:45081", + "right": "issue:45103", + "accept": false, + "reason": "Mistral regex patch crash and auto_docstring future-annotations crash are unrelated AttributeErrors." + }, + { + "left": "issue:45310", + "right": "issue:45375", + "accept": false, + "reason": "Both are Qwen3.5 Moe related, but one is a general from_pretrained error while the other is a specific missing config field; too little evidence they are the same underlying bug." + }, + { + "left": "issue:43873", + "right": "issue:44945", + "accept": false, + "reason": "Quantization offloading behavior and pipeline-parallel LLM output correctness are different problems." + }, + { + "left": "issue:41628", + "right": "issue:44351", + "accept": false, + "reason": "Two import errors, but for different missing names with no clear shared root cause." + }, + { + "left": "issue:43232", + "right": "issue:44188", + "accept": false, + "reason": "Generation kwargs syncing and attention-kernel divergence under torch.compile are distinct issues." + }, + { + "left": "issue:42673", + "right": "issue:43704", + "accept": true, + "reason": "Same Qwen3ForCausalLM VRAM leak in multiple dataloader threads; 43704 is a later duplicate of 42673." + }, + { + "left": "issue:42831", + "right": "issue:44222", + "accept": false, + "reason": "FineGrainedFP8 accuracy loss and FP8 save_pretrained failure are different bugs." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The soft-edge false verdicts are mostly conservative and grounded in the titles, but the summary is not fully grounded: the packet also contains an exact duplicate Qwen3.5 Moe pair (`issue:45310` and `issue:45478`) with identical titles, so saying the only clear duplicate pair is the Qwen3ForCausalLM VRAM leak overstates the uniqueness of that pair. The cluster is still largely heterogeneous, but the duplicate-summary claim should be toned down or expanded." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 38, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:30333", + "issue:30990", + "issue:33290", + "issue:35141", + "issue:36010", + "issue:41628", + "issue:42175", + "issue:42222", + "issue:42898", + "issue:42994", + "issue:43232", + "issue:43278", + "issue:43377", + "issue:43479", + "issue:43504", + "issue:43526", + "issue:43673", + "issue:43723", + "issue:43784", + "issue:43824", + "issue:43874", + "issue:43976", + "issue:44038", + "issue:44079", + "issue:44188", + "issue:44222", + "issue:44242", + "issue:44448", + "issue:44496", + "issue:44568", + "issue:44623", + "issue:44734", + "issue:44779", + "issue:44792", + "issue:44869", + "issue:44933", + "issue:44945", + "issue:44964", + "issue:45092", + "issue:45103", + "issue:45137", + "issue:45200", + "issue:45310", + "issue:45356", + "issue:45561", + "issue:45712", + "issue:45753", + "issue:45812" + ], + "soft_pairs": [ + "issue:44945|issue:45753", + "issue:36010|issue:41628", + "issue:44222|issue:45310", + "issue:42994|issue:43824", + "issue:44964|issue:45137", + "issue:43232|issue:44792", + "issue:44038|issue:45310", + "issue:43673|issue:44188", + "issue:42175|issue:45712", + "issue:43526|issue:45561", + "issue:44496|issue:45561", + "issue:43504|issue:45561", + "issue:43377|issue:44242", + "issue:42175|issue:44933", + "issue:42898|issue:44568", + "issue:42222|issue:45200", + "issue:43976|issue:44933", + "issue:30990|issue:35141", + "issue:43479|issue:44869", + "issue:43278|issue:45137", + "issue:43479|issue:44079", + "issue:44623|issue:45310", + "issue:30333|issue:33290", + "issue:42898|issue:45812", + "issue:43784|issue:43824", + "issue:44734|issue:45103", + "issue:43723|issue:44568", + "issue:42898|issue:44779", + "issue:42898|issue:45356", + "issue:43874|issue:45092", + "issue:42898|issue:44448" + ], + "prepared_review_unit_hash": "e277b2826e1380358e66e0ec26401b24c66ae541286927effdfbe4ffaf9ce89c", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 31, + "serialized_chars": 37049, + "estimated_input_tokens": 9263, + "estimated_eval_tokens": 18782 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "The cluster is heterogeneous: it mixes unrelated import/load, tokenizer, multimodal, generation, and training/runtime bugs. Despite some superficial overlap around Transformers v5 regressions, none of the soft edges look like the same underlying issue, so all candidate duplicate links should be rejected.", + "confidence": 0.9, + "canonical_issue_reason": "issue:42898 is the broadest, most central v5-regression report in the set and a plausible anchor for the cluster, but it is still only a representative issue rather than an exact duplicate of the others.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:42898 is the best single issue to anchor the cluster because it is a general user-facing regression report that overlaps thematically with several tokenizer/version-change complaints, even though the underlying bugs differ.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44945", + "right": "issue:45753", + "accept": false, + "reason": "Pipeline-parallel output mismatch and a Qwen3_5 image loop are different symptoms, models, and code paths." + }, + { + "left": "issue:36010", + "right": "issue:41628", + "accept": false, + "reason": "Both are import errors, but for different symbols and different missing/exported APIs." + }, + { + "left": "issue:44222", + "right": "issue:45310", + "accept": false, + "reason": "FP8 save_pretrained for MoE is a save-path bug; Qwen3.5 from_pretrained failure is a load-path bug on a different model family." + }, + { + "left": "issue:42994", + "right": "issue:43824", + "accept": false, + "reason": "Quantized save failure and a Qwen2.5-VL import error are unrelated subsystems." + }, + { + "left": "issue:44964", + "right": "issue:45137", + "accept": false, + "reason": "Phi-4 multimodal load failure and DeepSpeed ZeRO3 deque underflow are unrelated." + }, + { + "left": "issue:43232", + "right": "issue:44792", + "accept": false, + "reason": "Generation kwargs handling after sync_gpus is not the same bug as the janus image-generation test failure." + }, + { + "left": "issue:44038", + "right": "issue:45310", + "accept": false, + "reason": "Both mention Qwen MoE, but one is a Qwen3-VL issue and the other is a Qwen3.5 from_pretrained regression." + }, + { + "left": "issue:43673", + "right": "issue:44188", + "accept": false, + "reason": "Chunked prefill cache missing and torch.compile attention-kernel divergence are different generation/runtime problems." + }, + { + "left": "issue:42175", + "right": "issue:45712", + "accept": false, + "reason": "Dependency/backend packaging is unrelated to leftover dummy class cleanup." + }, + { + "left": "issue:43526", + "right": "issue:45561", + "accept": false, + "reason": "Beit label reduction is a model-specific preprocessing bug, not the xdist file-race issue." + }, + { + "left": "issue:44496", + "right": "issue:45561", + "accept": false, + "reason": "Unrecognized model config loading and captured_info.txt race are unrelated." + }, + { + "left": "issue:43504", + "right": "issue:45561", + "accept": false, + "reason": "Legacy field loading for Beit semantic segmentation is unrelated to the xdist testing-utils race." + }, + { + "left": "issue:43377", + "right": "issue:44242", + "accept": false, + "reason": "MIMI padding-mask mismatch and MoE router-loss omission are different model-behavior bugs." + }, + { + "left": "issue:42175", + "right": "issue:44933", + "accept": false, + "reason": "Backend packaging and a nonexistent image_utils import are unrelated." + }, + { + "left": "issue:42898", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer regressions in v5, but one is clean-up spacing behavior and the other is special-token insertion; not the same bug." + }, + { + "left": "issue:42222", + "right": "issue:45200", + "accept": false, + "reason": "VitPose breakage and Gemma 4 mm_token_type_ids defaults affect different models and code paths." + }, + { + "left": "issue:43976", + "right": "issue:44933", + "accept": false, + "reason": "Python-version compatibility and a missing image_utils import are unrelated." + }, + { + "left": "issue:30990", + "right": "issue:35141", + "accept": false, + "reason": "Sentence-transformers loading hang and token-embedding resizing/post_init reinit are different bugs." + }, + { + "left": "issue:43479", + "right": "issue:44869", + "accept": false, + "reason": "Phi-4 multimodal config defaults and Whisper timestamp decoding are unrelated." + }, + { + "left": "issue:43278", + "right": "issue:45137", + "accept": false, + "reason": "Embedding dtype drift in eval and a ZeRO3 deque error are different problems." + }, + { + "left": "issue:43479", + "right": "issue:44079", + "accept": false, + "reason": "Multimodal config initialization and ModelOutput key assignment are unrelated." + }, + { + "left": "issue:44623", + "right": "issue:45310", + "accept": false, + "reason": "Missing processor save files and Qwen3.5 MoE from_pretrained failure are different operations." + }, + { + "left": "issue:30333", + "right": "issue:33290", + "accept": false, + "reason": "MLflow reporting on failed training jobs and DeepSpeed Adafactor OOM are not the same bug." + }, + { + "left": "issue:42898", + "right": "issue:45812", + "accept": false, + "reason": "Both are v5 tokenizer regressions, but clean_up_tokenization_spaces and Granite token IDs are distinct behaviors." + }, + { + "left": "issue:43784", + "right": "issue:43824", + "accept": false, + "reason": "Sentence-transformers import NameError and Qwen2.5-VL import failure are unrelated import issues." + }, + { + "left": "issue:44734", + "right": "issue:45103", + "accept": false, + "reason": "KV-cache continuation crash in serve and auto_docstring future-annotations crash are unrelated." + }, + { + "left": "issue:43723", + "right": "issue:44568", + "accept": false, + "reason": "AutoTokenizer loading regression and special-token insertion regression are different tokenizer failure modes." + }, + { + "left": "issue:42898", + "right": "issue:44779", + "accept": false, + "reason": "Both are tokenizer regressions, but one is a spacing cleanup change and the other is DeepSeek codec handling; not the same underlying defect." + }, + { + "left": "issue:42898", + "right": "issue:45356", + "accept": false, + "reason": "General v5 tokenization behavior change and Kimi-K2.5 codec-handling regression are separate tokenizer issues." + }, + { + "left": "issue:43874", + "right": "issue:45092", + "accept": false, + "reason": "Missing image-patch counting and old InternVL2 meta-init incompatibility are different multimodal loading bugs." + }, + { + "left": "issue:42898", + "right": "issue:44448", + "accept": false, + "reason": "Tokenizer clean-up behavior and Pegasus output drift are different regression classes." + } + ] + }, + "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": 17, + "review_unit_index": 39, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:22355", + "issue:28282", + "issue:30333", + "issue:34689", + "issue:35141", + "issue:36331", + "issue:41628", + "issue:42757", + "issue:42831", + "issue:43116", + "issue:43232", + "issue:43479", + "issue:43644", + "issue:43723", + "issue:43761", + "issue:44060", + "issue:44190", + "issue:44206", + "issue:44222", + "issue:44263", + "issue:44295", + "issue:44297", + "issue:44360", + "issue:44373", + "issue:44448", + "issue:44483", + "issue:44484", + "issue:44485", + "issue:44514", + "issue:44623", + "issue:44871", + "issue:44933", + "issue:44977", + "issue:45071", + "issue:45092", + "issue:45103", + "issue:45125", + "issue:45245", + "issue:45310", + "issue:45357", + "issue:45405", + "issue:45406", + "issue:45656", + "issue:45712", + "issue:45834", + "issue:46082", + "issue:46132" + ], + "soft_pairs": [ + "issue:45405|issue:45712", + "issue:44060|issue:45125", + "issue:44295|issue:45656", + "issue:44448|issue:46132", + "issue:44933|issue:45712", + "issue:44222|issue:44297", + "issue:44297|issue:45656", + "issue:43116|issue:44190", + "issue:43479|issue:43644", + "issue:44190|issue:46082", + "issue:44222|issue:44623", + "issue:42831|issue:44623", + "issue:30333|issue:34689", + "issue:45245|issue:46132", + "issue:30333|issue:36331", + "issue:22355|issue:28282", + "issue:45071|issue:46082", + "issue:41628|issue:42757", + "issue:28282|issue:30333", + "issue:30333|issue:35141", + "issue:44206|issue:45103", + "issue:44297|issue:45310", + "issue:44222|issue:44484", + "issue:43723|issue:44977", + "issue:43232|issue:45834", + "issue:44263|issue:45092", + "issue:43761|issue:46082", + "issue:44295|issue:44623", + "issue:44483|issue:45406", + "issue:44373|issue:44485", + "issue:44514|issue:45103", + "issue:43723|issue:44871", + "issue:45092|issue:45357", + "issue:44263|issue:44360" + ], + "prepared_review_unit_hash": "66754c136a053313fdfbab24b43d3358f4c5be3fb0d5addebfe2eb88b1feab01", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 37148, + "estimated_input_tokens": 9287, + "estimated_eval_tokens": 18830 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is highly heterogeneous: most items are superficial keyword matches around imports, configs, or save/load behavior, but they describe different code paths and failures. No soft pair looks like a true duplicate, so I rejected them all. There are no PRs in the set; issue 44623 is the clearest standalone representative of the cluster's serialization/save-pretrained theme.", + "confidence": 0.63, + "canonical_issue_reason": "Issue 44623 is the most concrete and self-contained bug report in the set: it names a specific API (`processor.save_pretrained(...)`) and a clear failure mode (missing files).", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 44623 is the best standalone issue to anchor this cluster because it is actionable, specific, and broadly representative of the save/load serialization problems that several nearby items loosely resemble.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45405", + "right": "issue:45712", + "accept": false, + "reason": "Unrelated: one is a PEFT version bump, the other is leftover dummy classes leaking into exports/check_repo." + }, + { + "left": "issue:44060", + "right": "issue:45125", + "accept": false, + "reason": "Both mention Qwen3 MoE, but one is a tied-weights warning and the other is missing `_tp_plan`; different bugs." + }, + { + "left": "issue:44295", + "right": "issue:45656", + "accept": false, + "reason": "Different subsystems: `position_ids` buffer access vs. a deepspeed double optimizer-step report." + }, + { + "left": "issue:44448", + "right": "issue:46132", + "accept": false, + "reason": "Different issues: model output drift across versions vs. `AttentionInterface.register` changing function behavior." + }, + { + "left": "issue:44933", + "right": "issue:45712", + "accept": false, + "reason": "Both touch import/export surfaces, but one is a missing image_utils import and the other is dummy class cleanup." + }, + { + "left": "issue:44222", + "right": "issue:44297", + "accept": false, + "reason": "Both involve `save_pretrained`, but one is FP8 MoE model saving and the other is tokenizer class metadata; not the same bug." + }, + { + "left": "issue:44297", + "right": "issue:45656", + "accept": false, + "reason": "Tokenizer save metadata mismatch is unrelated to a deepspeed optimizer-step problem." + }, + { + "left": "issue:43116", + "right": "issue:44190", + "accept": false, + "reason": "Both concern example scripts, but one is multi-label classification output and the other is local dataset loading." + }, + { + "left": "issue:43479", + "right": "issue:43644", + "accept": false, + "reason": "Different bugs: multimodal config defaults vs. non-persistent buffers being filled with junk." + }, + { + "left": "issue:44190", + "right": "issue:46082", + "accept": false, + "reason": "Unrelated: dataset loading in an example script vs. LlamaConfig head_dim validation." + }, + { + "left": "issue:44222", + "right": "issue:44623", + "accept": false, + "reason": "Same general save-pretrained area, but one is FP8 MoE model saving and the other is processor file omission." + }, + { + "left": "issue:42831", + "right": "issue:44623", + "accept": false, + "reason": "Accuracy regression in FineGrainedFP8 is unrelated to missing processor files during save_pretrained." + }, + { + "left": "issue:30333", + "right": "issue:34689", + "accept": false, + "reason": "Different failures: MLflow reporting on failed training vs. model loading regression for Llama 3.2 Vision." + }, + { + "left": "issue:45245", + "right": "issue:46132", + "accept": false, + "reason": "Categorical-cardinality runtime error is unrelated to attention registration behavior." + }, + { + "left": "issue:30333", + "right": "issue:36331", + "accept": false, + "reason": "MLflow reporting bug is unrelated to the trainer `compute_loss` signature change." + }, + { + "left": "issue:22355", + "right": "issue:28282", + "accept": false, + "reason": "Both are import errors, but one is missing `transformers.onnx` and the other is PyTorch dependency detection." + }, + { + "left": "issue:45071", + "right": "issue:46082", + "accept": false, + "reason": "Type-checking breakage in `PretrainedConfig` is unrelated to LlamaConfig head_dim rejection." + }, + { + "left": "issue:41628", + "right": "issue:42757", + "accept": false, + "reason": "Both are import errors, but they involve different missing symbols and different packages." + }, + { + "left": "issue:28282", + "right": "issue:30333", + "accept": false, + "reason": "PyTorch import detection and MLflow reporting are unrelated." + }, + { + "left": "issue:30333", + "right": "issue:35141", + "accept": false, + "reason": "Failed-job reporting has nothing to do with embedding resizing/reinitialization." + }, + { + "left": "issue:44206", + "right": "issue:45103", + "accept": false, + "reason": "Different code paths: feature extractor argument mismatch vs. auto-docstring annotation handling." + }, + { + "left": "issue:44297", + "right": "issue:45310", + "accept": false, + "reason": "Tokenizer save metadata mismatch is not the same as the Qwen3.5 MoE from_pretrained regression." + }, + { + "left": "issue:44222", + "right": "issue:44484", + "accept": false, + "reason": "FP8 MoE save_pretrained bug is unrelated to max_shard_size default behavior." + }, + { + "left": "issue:43723", + "right": "issue:44977", + "accept": false, + "reason": "Tokenizer loading regression and flash-attention generation issues are different bugs." + }, + { + "left": "issue:43232", + "right": "issue:45834", + "accept": false, + "reason": "Generation kwargs update after sync_gpus is unrelated to Kosmos2.5 long OCR index errors." + }, + { + "left": "issue:44263", + "right": "issue:45092", + "accept": false, + "reason": "Torch.split return handling in a MoE indexer is unrelated to remote-code checkpoint meta-initialization." + }, + { + "left": "issue:43761", + "right": "issue:46082", + "accept": false, + "reason": "Hidden-states regression in CLIPVisionModel is unrelated to LlamaConfig head_dim validation." + }, + { + "left": "issue:44295", + "right": "issue:44623", + "accept": false, + "reason": "Reading `position_ids` after buffer registration is unrelated to processor save_pretrained file omission." + }, + { + "left": "issue:44483", + "right": "issue:45406", + "accept": false, + "reason": "Chat/completions request handling is unrelated to Gemma4Processor missing `_tokenizer`." + }, + { + "left": "issue:44373", + "right": "issue:44485", + "accept": false, + "reason": "Wrong docstring for `position_ids` is a documentation issue; GLM-5 RoPE is an implementation discussion." + }, + { + "left": "issue:44514", + "right": "issue:45103", + "accept": false, + "reason": "Processor batch-padding crash is unrelated to auto-docstring annotation processing." + }, + { + "left": "issue:43723", + "right": "issue:44871", + "accept": false, + "reason": "Tokenizer loading regression and eos_token_id inconsistency are separate issues." + }, + { + "left": "issue:45092", + "right": "issue:45357", + "accept": false, + "reason": "Both involve model loading/saving, but they affect different models and different serialization problems." + }, + { + "left": "issue:45405", + "right": "issue:45712", + "accept": false, + "reason": "PEFT version pinning is unrelated to dummy class cleanup/export leakage." + }, + { + "left": "issue:45656", + "right": "issue:45834", + "accept": false, + "reason": "Double optimizer-step in deepspeed is unrelated to Kosmos2.5 OCR index errors." + }, + { + "left": "issue:44263", + "right": "issue:44360", + "accept": false, + "reason": "Both mention DSA indexer, but one is about torch.split return values and the other about a missing ReLU; 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": 17, + "review_unit_index": 40, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:22355", + "issue:28218", + "issue:30990", + "issue:33357", + "issue:38175", + "issue:39401", + "issue:41628", + "issue:42371", + "issue:42757", + "issue:42831", + "issue:42886", + "issue:42907", + "issue:42994", + "issue:43066", + "issue:43122", + "issue:43232", + "issue:43479", + "issue:43576", + "issue:43646", + "issue:43723", + "issue:43756", + "issue:43784", + "issue:43824", + "issue:44038", + "issue:44060", + "issue:44117", + "issue:44261", + "issue:44263", + "issue:44295", + "issue:44297", + "issue:44373", + "issue:44442", + "issue:44521", + "issue:44568", + "issue:44671", + "issue:44704", + "issue:44829", + "issue:44913", + "issue:44991", + "issue:45092", + "issue:45278", + "issue:45290", + "issue:45310", + "issue:45593", + "issue:45753", + "issue:46002", + "issue:46050", + "issue:46132" + ], + "soft_pairs": [ + "issue:30990|issue:38175", + "issue:42907|issue:46050", + "issue:43723|issue:44991", + "issue:44829|issue:46002", + "issue:44261|issue:45092", + "issue:43723|issue:44442", + "issue:41628|issue:43824", + "issue:42831|issue:45310", + "issue:43479|issue:44913", + "issue:42831|issue:44038", + "issue:44263|issue:44373", + "issue:39401|issue:44568", + "issue:42757|issue:45278", + "issue:42886|issue:42994", + "issue:43232|issue:45593", + "issue:42831|issue:45753", + "issue:42886|issue:43066", + "issue:22355|issue:28218", + "issue:43756|issue:44060", + "issue:44671|issue:46132", + "issue:43122|issue:44521", + "issue:43576|issue:43784", + "issue:44117|issue:44704", + "issue:43646|issue:46002", + "issue:30990|issue:33357", + "issue:42371|issue:44263", + "issue:44295|issue:44297", + "issue:44704|issue:45290" + ], + "prepared_review_unit_hash": "28f145cd17438926d9ae0188f8bb266d2cb1c875672396b3e34a1efb099d6ebe", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 28, + "serialized_chars": 35659, + "estimated_input_tokens": 8915, + "estimated_eval_tokens": 18086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "Mostly unrelated issues with only one credible duplicate pair in the tokenizer-loading regression area. Most other soft matches are superficial (same broad subsystem, same model family, or generic failure type) but do not look like the same underlying bug.", + "confidence": 0.76, + "canonical_issue_reason": "issue:43723 is the broadest representative of the only credible duplicate subcluster: a v5 AutoTokenizer loading regression that also covers the specific tokenizer-load failure in issue:44991.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43723 is the strongest umbrella issue for the tokenizer-loading regression theme; it is more general than the specific model report in issue:44991 and best fits the duplicate cluster if one is chosen.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:30990", + "right": "issue:38175", + "accept": false, + "reason": "Different symptoms and code paths: loading hangs in Sentence Transformers vs zero probabilities in SigLIP2 inference." + }, + { + "left": "issue:42907", + "right": "issue:46050", + "accept": false, + "reason": "Both involve quantized-model saving, but the models and failure modes differ (dequantized Ministrals/Devstrals vs sinq save_pretrained/from_pretrained breakage)." + }, + { + "left": "issue:43723", + "right": "issue:44991", + "accept": true, + "reason": "Both describe a v5 AutoTokenizer.from_pretrained/tokenizer-loading regression; 44991 looks like a specific model instance of the broader failure in 43723." + }, + { + "left": "issue:44829", + "right": "issue:46002", + "accept": false, + "reason": "Both mention bad training/NaNs, but one is tied to flash_attention_3 in sequence classification and the other to checkout/init NaNs in classification heads; not the same bug." + }, + { + "left": "issue:44261", + "right": "issue:45092", + "accept": false, + "reason": "Different root causes: missing rms_norm_eps in MLA layernorm vs remote-code/meta-initialization incompatibility for InternVL2." + }, + { + "left": "issue:43723", + "right": "issue:44442", + "accept": false, + "reason": "Both are tokenizer-loading failures, but the titles only show a generic v5 regression versus a specific FastSpeech2ConformerTokenizer load issue; not enough to treat as the same bug." + }, + { + "left": "issue:41628", + "right": "issue:43824", + "accept": false, + "reason": "Both are import errors, but they concern different missing symbols/classes and likely different export paths." + }, + { + "left": "issue:42831", + "right": "issue:45310", + "accept": false, + "reason": "Different issues: FineGrainedFP8 accuracy vs a Qwen3.5 MoE from_pretrained error." + }, + { + "left": "issue:43479", + "right": "issue:44913", + "accept": false, + "reason": "Both are config/default handling bugs, but they affect different models and different config fields/behaviors." + }, + { + "left": "issue:42831", + "right": "issue:44038", + "accept": false, + "reason": "Not the same problem: one is an FP8 accuracy issue, the other a Qwen3-VL-Moe bug report." + }, + { + "left": "issue:44263", + "right": "issue:44373", + "accept": false, + "reason": "One is a runtime tensor split issue; the other is just a docstring problem." + }, + { + "left": "issue:39401", + "right": "issue:44568", + "accept": false, + "reason": "Both are tokenizer behavior bugs, but one is wrong offset_mapping and the other is missing BOS/EOS insertion; different concrete defects." + }, + { + "left": "issue:42757", + "right": "issue:45278", + "accept": false, + "reason": "45278 is a broad import-error regression, but 42757 is specifically about is_offline_mode; too generic to call the same bug." + }, + { + "left": "issue:42886", + "right": "issue:42994", + "accept": false, + "reason": "Offline tokenizer cache loading and quantized model saving are unrelated." + }, + { + "left": "issue:43232", + "right": "issue:45593", + "accept": false, + "reason": "Generation kwarg syncing and D-FINE auxiliary losses are unrelated subsystems." + }, + { + "left": "issue:42831", + "right": "issue:45753", + "accept": false, + "reason": "A numerical accuracy issue is not the same as an infinite-loop bug on a specific image." + }, + { + "left": "issue:42886", + "right": "issue:43066", + "accept": false, + "reason": "Offline cache loading failure and wrong tokenizer decoder type are different tokenizer bugs." + }, + { + "left": "issue:22355", + "right": "issue:28218", + "accept": false, + "reason": "Missing transformers.onnx import and extra tokenizer space after added token are unrelated." + }, + { + "left": "issue:43756", + "right": "issue:44060", + "accept": false, + "reason": "Different model-specific architecture/config problems with no shared concrete code path." + }, + { + "left": "issue:44671", + "right": "issue:46132", + "accept": false, + "reason": "CamemBERT MLM predictions vs AttentionInterface.register behavior are unrelated." + }, + { + "left": "issue:43122", + "right": "issue:44521", + "accept": false, + "reason": "Different tokenizer/chat-template problems: tokenization drift across versions vs multimodal assistant mask generation." + }, + { + "left": "issue:43576", + "right": "issue:43784", + "accept": false, + "reason": "A broken CLI command and an import NameError in sentence-transformers are not the same issue." + }, + { + "left": "issue:44117", + "right": "issue:44704", + "accept": false, + "reason": "Both are from_pretrained-related, but one is a tokenizer-mapping None bug and the other is AutoProcessor kwarg forwarding; different code paths." + }, + { + "left": "issue:43646", + "right": "issue:46002", + "accept": false, + "reason": "Custom model initialization breakage is not the same as NaNs in classification heads after init." + }, + { + "left": "issue:30990", + "right": "issue:33357", + "accept": false, + "reason": "Sentence Transformers loading stall and a MacOS bus error in CLIP inference are different failures." + }, + { + "left": "issue:42371", + "right": "issue:44263", + "accept": false, + "reason": "TF32 API guidance and a torch.split return-value issue are unrelated." + }, + { + "left": "issue:44295", + "right": "issue:44297", + "accept": false, + "reason": "Reading position_ids after buffer registration and tokenizer save_pretrained metadata mismatch are unrelated." + }, + { + "left": "issue:44704", + "right": "issue:45290", + "accept": false, + "reason": "AutoProcessor kwarg forwarding and chat-template crashes on tool-call assistant messages are different bugs." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet and stays conservative. The single accepted duplicate pair is plausibly the same v5 AutoTokenizer/tokenizer-loading regression, and the other soft-edge rejections are appropriately cautious given only title-level evidence. No pair appears overstated or clearly non-mergeable." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 41, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:22355", + "issue:28218", + "issue:29159", + "issue:30990", + "issue:36296", + "issue:39401", + "issue:41628", + "issue:42757", + "issue:42907", + "issue:43116", + "issue:43122", + "issue:43232", + "issue:43278", + "issue:43408", + "issue:43452", + "issue:43475", + "issue:43784", + "issue:43824", + "issue:43906", + "issue:43937", + "issue:43976", + "issue:44038", + "issue:44188", + "issue:44222", + "issue:44261", + "issue:44295", + "issue:44297", + "issue:44351", + "issue:44360", + "issue:44373", + "issue:44485", + "issue:44488", + "issue:44514", + "issue:44521", + "issue:44625", + "issue:44743", + "issue:44779", + "issue:44829", + "issue:44945", + "issue:44964", + "issue:44977", + "issue:45200", + "issue:45216", + "issue:45278", + "issue:45446", + "issue:45478", + "issue:45600" + ], + "soft_pairs": [ + "issue:44188|issue:44373", + "issue:42907|issue:44945", + "issue:41628|issue:45278", + "issue:43232|issue:44743", + "issue:43784|issue:45600", + "issue:43976|issue:44945", + "issue:39401|issue:44488", + "issue:44261|issue:44373", + "issue:43122|issue:44514", + "issue:43408|issue:43475", + "issue:42907|issue:43937", + "issue:39401|issue:44521", + "issue:44625|issue:44829", + "issue:43116|issue:45200", + "issue:42907|issue:44964", + "issue:44360|issue:44485", + "issue:44038|issue:44297", + "issue:28218|issue:30990", + "issue:44038|issue:44295", + "issue:43122|issue:44779", + "issue:42907|issue:43452", + "issue:36296|issue:43116", + "issue:43824|issue:44351", + "issue:44038|issue:44222", + "issue:43122|issue:43906", + "issue:45216|issue:45478", + "issue:42757|issue:44351", + "issue:43784|issue:45446", + "issue:43278|issue:44945", + "issue:22355|issue:29159", + "issue:43122|issue:44977" + ], + "prepared_review_unit_hash": "f58cb17fb0986388ea2df0d280e6b69fb4806c75568c9e675322a80eea4ad18f", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 31, + "serialized_chars": 35997, + "estimated_input_tokens": 9000, + "estimated_eval_tokens": 18256 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "No clear duplicate cluster here: the issues span unrelated tokenizer, import, model-loading, generation, and training problems, so no soft-edge pair is strong enough to merge.", + "confidence": 0.93, + "canonical_issue_reason": "No single canonical issue stands out; the set is heterogeneous and the titles point to different bugs rather than one underlying defect.", + "canonical_pr_reason": null, + "best_issue_reason": "45216 is the most concrete regression report, but it is only a representative example\u2014not a duplicate anchor for the rest of the set.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44188", + "right": "issue:44373", + "accept": false, + "reason": "Different problems: torch.compile attention-kernel branching vs a docstring typo for position_ids." + }, + { + "left": "issue:42907", + "right": "issue:44945", + "accept": false, + "reason": "Unrelated: saving a dequantized model vs incorrect output under pipeline parallelism." + }, + { + "left": "issue:41628", + "right": "issue:45278", + "accept": false, + "reason": "One is a single AutoImageProcessor import failure; the other is a broad upgrade-related import-breakage report." + }, + { + "left": "issue:43232", + "right": "issue:44743", + "accept": false, + "reason": "Both are generation-related, but they describe different bugs and code paths." + }, + { + "left": "issue:43784", + "right": "issue:45600", + "accept": false, + "reason": "Importing sentence-transformers vs CI break from removed Sam3LiteText config references are not the same bug." + }, + { + "left": "issue:43976", + "right": "issue:44945", + "accept": false, + "reason": "Python-version compatibility regression vs pipeline-parallel output corruption." + }, + { + "left": "issue:39401", + "right": "issue:44488", + "accept": false, + "reason": "Different tokenizer failures: offset_mapping mismatch vs a model load failure." + }, + { + "left": "issue:44261", + "right": "issue:44373", + "accept": false, + "reason": "Numerical precision/config issue in MLA layer vs a docstring issue." + }, + { + "left": "issue:43122", + "right": "issue:44514", + "accept": false, + "reason": "Tokenizer-version regression vs batched chat-template crash; different failure modes." + }, + { + "left": "issue:43408", + "right": "issue:43475", + "accept": false, + "reason": "Same model family, but one is a config/model-type warning and the other is an attribute error." + }, + { + "left": "issue:42907", + "right": "issue:43937", + "accept": false, + "reason": "Saving dequantized models is unrelated to invalid GenerationConfig." + }, + { + "left": "issue:39401", + "right": "issue:44521", + "accept": false, + "reason": "Offset-mapping bug vs assistant_mask generation bug; different tokenizer paths." + }, + { + "left": "issue:44625", + "right": "issue:44829", + "accept": false, + "reason": "num_labels propagation in Qwen3.5 is unrelated to flash_attention_3 training degeneration." + }, + { + "left": "issue:43116", + "right": "issue:45200", + "accept": false, + "reason": "Example-script multi-label output bug vs Gemma 4 multimodal token-type defaults." + }, + { + "left": "issue:42907", + "right": "issue:44964", + "accept": false, + "reason": "Model save/dequantization issue vs a specific multimodal model load failure." + }, + { + "left": "issue:44360", + "right": "issue:44485", + "accept": false, + "reason": "DSA ReLU discussion vs GLM-5 RoPE implementation; no shared underlying defect." + }, + { + "left": "issue:44038", + "right": "issue:44297", + "accept": false, + "reason": "Qwen3-VL-Moe load bug vs tokenizer save metadata mismatch." + }, + { + "left": "issue:28218", + "right": "issue:30990", + "accept": false, + "reason": "Tokenizer spacing bug vs Sentence Transformers loading hang; unrelated." + }, + { + "left": "issue:44038", + "right": "issue:44295", + "accept": false, + "reason": "Model-load issue vs position_ids buffer access error." + }, + { + "left": "issue:43122", + "right": "issue:44779", + "accept": false, + "reason": "Both mention tokenization regressions, but they concern different models and symptoms." + }, + { + "left": "issue:42907", + "right": "issue:43452", + "accept": false, + "reason": "Dequantized save failure vs gguf_file handling for from_pretrained; different code paths." + }, + { + "left": "issue:36296", + "right": "issue:43116", + "accept": false, + "reason": "Tensor-parallel training bug vs example-script classification output bug." + }, + { + "left": "issue:43824", + "right": "issue:44351", + "accept": false, + "reason": "Different missing imports: Qwen2_5_VLForConditionalGeneration vs HybridCache." + }, + { + "left": "issue:44038", + "right": "issue:44222", + "accept": false, + "reason": "Qwen3-VL-Moe model loading issue vs FP8 save_pretrained bug; not the same bug." + }, + { + "left": "issue:43122", + "right": "issue:43906", + "accept": false, + "reason": "Tokenizer regression vs an isolated reproduction of a different issue; no concrete overlap." + }, + { + "left": "issue:45216", + "right": "issue:45478", + "accept": false, + "reason": "Related Qwen3.5 regression theme, but save_pretrained checkpoint corruption and from_pretrained load error are not clearly the same code-path bug." + }, + { + "left": "issue:42757", + "right": "issue:44351", + "accept": false, + "reason": "ImportError from huggingface_hub vs ImportError from transformers; different missing symbols." + }, + { + "left": "issue:43784", + "right": "issue:45446", + "accept": false, + "reason": "Sentence-transformers import NameError vs incorrect PyTorch version gating for AuxRequest." + }, + { + "left": "issue:43278", + "right": "issue:44945", + "accept": false, + "reason": "Dtype drift in evaluation vs incorrect LLM output under pipeline parallelism." + }, + { + "left": "issue:22355", + "right": "issue:29159", + "accept": false, + "reason": "onnx module import failure vs slow/fast tokenizer inconsistency; unrelated." + }, + { + "left": "issue:44261", + "right": "issue:44485", + "accept": false, + "reason": "Layer norm epsilon mismatch vs RoPE implementation discussion; different model components." + } + ] + }, + "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": 17, + "review_unit_index": 42, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:22355", + "issue:29127", + "issue:33453", + "issue:38617", + "issue:39401", + "issue:42175", + "issue:42222", + "issue:42371", + "issue:42673", + "issue:43064", + "issue:43066", + "issue:43116", + "issue:43441", + "issue:43450", + "issue:43493", + "issue:43611", + "issue:43673", + "issue:43825", + "issue:43827", + "issue:43874", + "issue:43906", + "issue:43937", + "issue:43976", + "issue:43986", + "issue:43992", + "issue:44038", + "issue:44075", + "issue:44117", + "issue:44291", + "issue:44380", + "issue:44485", + "issue:44704", + "issue:44779", + "issue:44936", + "issue:44938", + "issue:44977", + "issue:45071", + "issue:45072", + "issue:45083", + "issue:45278", + "issue:45357", + "issue:45446", + "issue:45478", + "issue:45563", + "issue:45588", + "issue:45753", + "issue:46002", + "issue:46077" + ], + "soft_pairs": [ + "issue:42175|issue:44938", + "issue:43493|issue:45753", + "issue:42673|issue:45072", + "issue:38617|issue:45278", + "issue:43066|issue:44779", + "issue:43992|issue:44704", + "issue:22355|issue:29127", + "issue:43611|issue:46002", + "issue:43937|issue:44485", + "issue:43976|issue:45446", + "issue:42222|issue:43441", + "issue:43116|issue:43493", + "issue:42371|issue:43874", + "issue:44075|issue:44936", + "issue:43064|issue:43673", + "issue:45357|issue:45478", + "issue:44038|issue:45478", + "issue:43116|issue:43825", + "issue:45083|issue:45446", + "issue:43937|issue:45563", + "issue:44380|issue:46077", + "issue:33453|issue:39401", + "issue:44117|issue:45588", + "issue:43827|issue:45446", + "issue:39401|issue:44779", + "issue:42673|issue:43906", + "issue:44291|issue:45071", + "issue:43937|issue:44977", + "issue:43450|issue:43986" + ], + "prepared_review_unit_hash": "f85ba557decb255e5a12f13ab1f4a3b9ee72857ea3d85c59135be4c6a99a3451", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 29, + "serialized_chars": 36035, + "estimated_input_tokens": 9009, + "estimated_eval_tokens": 18274 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose semantic bucket of mostly unrelated Transformers v5 regressions, model-specific bugs, and a few packaging/docs/deprecation issues; none of the suggested soft pairs look like true duplicates.", + "confidence": 0.19, + "canonical_issue_reason": "issue:45278 is the best umbrella representative because it captures the broad post-upgrade breakage theme that recurs across several reports, even though the cluster is too heterogeneous for a true canonical duplicate.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45278 has the widest scope and strongest tie to the recurring v5 import/regression pattern, so it is the most suitable representative issue.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42175", + "right": "issue:44938", + "accept": false, + "reason": "Different failures: missing TensorFlow backend from a torch-only install vs Python 3.14 import/load failure." + }, + { + "left": "issue:43493", + "right": "issue:45753", + "accept": false, + "reason": "Both are Qwen3.5-related, but one is a SigLIP2 implementation discrepancy and the other is an infinite-loop generation bug on a specific image." + }, + { + "left": "issue:42673", + "right": "issue:45072", + "accept": false, + "reason": "VRAM leak in Qwen3ForCausalLM multi-threaded dataloader use is unrelated to dtype mismatches in CI inference." + }, + { + "left": "issue:38617", + "right": "issue:45278", + "accept": false, + "reason": "One is an import failure for a missing symbol; the other is a broad upgrade report about many import errors, not the same underlying bug." + }, + { + "left": "issue:43066", + "right": "issue:44779", + "accept": false, + "reason": "Wrong tokenizer decoder type in v5 is a different tokenizer bug than Deepseek producing incorrect results." + }, + { + "left": "issue:43992", + "right": "issue:44704", + "accept": false, + "reason": "Missing embed_tokens.weight in UMT5Encoder loading is unrelated to AutoProcessor not forwarding kwargs to cached_file." + }, + { + "left": "issue:22355", + "right": "issue:29127", + "accept": false, + "reason": "Module import failure for transformers.onnx and a LayoutLMv3 error-message clarity issue are unrelated." + }, + { + "left": "issue:43611", + "right": "issue:46002", + "accept": false, + "reason": "base_model_prefix loading breakage and NaNs in classification heads after checkout/init are different code paths and symptoms." + }, + { + "left": "issue:43937", + "right": "issue:44485", + "accept": false, + "reason": "Invalid GenerationConfig for GLM-5 is not the same as a RoPE implementation discussion." + }, + { + "left": "issue:43976", + "right": "issue:45446", + "accept": false, + "reason": "Python version compatibility for Transformers v5.1.0 is unrelated to a PyTorch version check bug in flex_attention." + }, + { + "left": "issue:42222", + "right": "issue:43441", + "accept": false, + "reason": "VitPose model breakage and Ministral-3 FlashAttention failure are distinct model-specific regressions." + }, + { + "left": "issue:43116", + "right": "issue:43493", + "accept": false, + "reason": "Empty results in the example classification script is unrelated to a SigLIP2 implementation discrepancy." + }, + { + "left": "issue:42371", + "right": "issue:43874", + "accept": false, + "reason": "TF32 settings warning and a missing image-patch helper in GLM46V are different issues." + }, + { + "left": "issue:44075", + "right": "issue:44936", + "accept": false, + "reason": "Optimizer SGD args ignored is unrelated to trainer.evaluate() failing after train()." + }, + { + "left": "issue:43064", + "right": "issue:43673", + "accept": false, + "reason": "FSDP2/PEFT optimizer-state corruption is a different bug from missing GenerationMixin cache during chunked_prefill." + }, + { + "left": "issue:45357", + "right": "issue:45478", + "accept": false, + "reason": "Both involve Qwen3.5, but one is a save_pretrained key regression and the other is a from_pretrained load error; not the same fix." + }, + { + "left": "issue:44038", + "right": "issue:45478", + "accept": false, + "reason": "Qwen3-VL-Moe and Qwen3.5-Moe are different model families and symptoms, so this is not one underlying bug." + }, + { + "left": "issue:43116", + "right": "issue:43825", + "accept": false, + "reason": "Example-script multi-label behavior and pipeline() translation support/error messaging are unrelated." + }, + { + "left": "issue:45083", + "right": "issue:45446", + "accept": false, + "reason": "A Qwen3_omni_moe helper-length bug is unrelated to the flex_attention import/version check issue." + }, + { + "left": "issue:43937", + "right": "issue:45563", + "accept": false, + "reason": "Invalid GenerationConfig and a stale warning for num_return_sequences are not the same defect." + }, + { + "left": "issue:44380", + "right": "issue:46077", + "accept": false, + "reason": "GPT2 attention scaling under SDPA/FlashAttention is unrelated to Gemma4 building causal masks when bidirectional attention is requested." + }, + { + "left": "issue:33453", + "right": "issue:39401", + "accept": false, + "reason": "Tokenizer loading regression and Qwen3 offset_mapping errors are different tokenizer problems with different failure modes." + }, + { + "left": "issue:44117", + "right": "issue:45588", + "accept": false, + "reason": "TOKENIZER_MAPPING_NAMES returning None and a flash_attention crash on s_aux=None are unrelated." + }, + { + "left": "issue:43827", + "right": "issue:45446", + "accept": false, + "reason": "Docs still referencing pipeline() after v5 removals is unrelated to an AuxRequest import version check bug." + }, + { + "left": "issue:39401", + "right": "issue:44779", + "accept": false, + "reason": "Wrong Qwen3 offset_mapping and incorrect Deepseek tokenizer results are separate tokenizer regressions." + }, + { + "left": "issue:42673", + "right": "issue:43906", + "accept": false, + "reason": "A VRAM leak in multi-threaded Qwen3ForCausalLM use is not the same as an isolated reproduction of another issue." + }, + { + "left": "issue:44291", + "right": "issue:45071", + "accept": false, + "reason": "Unexpected _is_hf_initialized argument during init_empty_weights is unrelated to PretrainedConfig type-checking breakage." + }, + { + "left": "issue:43937", + "right": "issue:44977", + "accept": false, + "reason": "GLM-5 GenerationConfig invalidity and Qwen3.5 flash-attention generation problems are different model/runtime failures." + }, + { + "left": "issue:43450", + "right": "issue:43986", + "accept": false, + "reason": "Video processor batch-shape bug and missing-torchvision AutoProcessor crash are related to video processing but not the same code-path problem." + } + ] + }, + "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": 17, + "review_unit_index": 43, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:38617", + "issue:39401", + "issue:41628", + "issue:42175", + "issue:42222", + "issue:42371", + "issue:42490", + "issue:42617", + "issue:42673", + "issue:42831", + "issue:43012", + "issue:43066", + "issue:43097", + "issue:43122", + "issue:43408", + "issue:43421", + "issue:43577", + "issue:43582", + "issue:43673", + "issue:43742", + "issue:43937", + "issue:44075", + "issue:44117", + "issue:44220", + "issue:44261", + "issue:44410", + "issue:44466", + "issue:44483", + "issue:44484", + "issue:44493", + "issue:44496", + "issue:44829", + "issue:44933", + "issue:45071", + "issue:45081", + "issue:45216", + "issue:45278", + "issue:45310", + "issue:45341", + "issue:45405", + "issue:45446", + "issue:45464", + "issue:45478", + "issue:45542", + "issue:45561", + "issue:45656", + "issue:46002", + "issue:46178" + ], + "soft_pairs": [ + "issue:44466|issue:46002", + "issue:45405|issue:45446", + "issue:44117|issue:45081", + 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None of the soft pairs look like the same concrete bug/change, and there are no PRs in the set.", + "confidence": 0.79, + "canonical_issue_reason": "issue:45278 is the broadest umbrella report about import failures after upgrading, so it is the best anchor for the small import-regression subgroup.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45278 is the most representative issue in this mixed set; it is broader than the other import-related reports and closer to a possible cluster summary.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44466", + "right": "issue:46002", + "accept": false, + "reason": "Both mention model weights/training behavior, but one is a serialization/tied-weights issue and the other is NaNs in classification heads; different bugs." + }, + { + "left": "issue:45405", + "right": "issue:45446", + "accept": false, + "reason": "Unrelated topics: PEFT version pinning vs a PyTorch version-check bug in flex_attention." + }, + { + "left": "issue:44117", + "right": "issue:45081", + "accept": false, + "reason": "Both are tokenizer-related, but one is a mapping lookup bug and the other is a Mistral regex crash; different code paths." + }, + { + "left": "issue:45341", + "right": "issue:45561", + "accept": false, + "reason": "The second is a pytest-xdist race in captured_info.txt; the first is only a vague testing_utils bug and is not clearly the same issue." + }, + { + "left": "issue:42222", + "right": "issue:46178", + "accept": false, + "reason": "VitPose model breakage and a tensorflow_text backend lookup error are different failures." + }, + { + "left": "issue:38617", + "right": "issue:41628", + "accept": false, + "reason": "Both are import errors, but for different missing symbols and likely different fixes." + }, + { + "left": "issue:44410", + "right": "issue:45310", + "accept": false, + "reason": "Different model families and symptoms: missing Qwen3Next projections vs Qwen3.5-MoE from_pretrained failure." + }, + { + "left": "issue:44829", + "right": "issue:45216", + "accept": false, + "reason": "One is an FA3 training-degeneration issue; the other is a save_pretrained regression for Qwen3.5 checkpoints." + }, + { + "left": "issue:39401", + "right": "issue:43421", + "accept": false, + "reason": "Both involve tokenizers, but offset_mapping errors and runtime post-processor updates are distinct bugs." + }, + { + "left": "issue:42617", + "right": "issue:45341", + "accept": false, + "reason": "A 3d_parallel.py runtime problem is unrelated to a small testing_utils bug." + }, + { + "left": "issue:44484", + "right": "issue:45310", + "accept": false, + "reason": "max_shard_size behavior in save_pretrained is unrelated to a Qwen3.5-MoE from_pretrained error." + }, + { + "left": "issue:42673", + "right": "issue:43582", + "accept": false, + "reason": "A VRAM leak in multi-threaded dataloading and an Apple Silicon TypeError are different issues." + }, + { + "left": "issue:42490", + "right": "issue:42673", + "accept": false, + "reason": "Import warning on local model paths and a Qwen3ForCausalLM VRAM leak are unrelated." + }, + { + "left": "issue:43408", + "right": "issue:43742", + "accept": false, + "reason": "Model-type warning for sam3 variants is not the same as a key error loading facebook/MobileLLM-125M." + }, + { + "left": "issue:42371", + "right": "issue:44261", + "accept": false, + "reason": "TF32 configuration guidance and an MLA rms_norm_eps precision bug are unrelated." + }, + { + "left": "issue:44933", + "right": "issue:45278", + "accept": false, + "reason": "A missing image_utils import may be related to import regressions, but it is not the same concrete bug as the broad upgrade-related report." + }, + { + "left": "issue:38617", + "right": "issue:44220", + "accept": false, + "reason": "A missing configuration import and an fbank feature-extraction issue are different code paths." + }, + { + "left": "issue:42222", + "right": "issue:45542", + "accept": false, + "reason": "VitPose model breakage is unrelated to a missing TensorFlow backend when only tensorboard is installed." + }, + { + "left": "issue:43937", + "right": "issue:44496", + "accept": false, + "reason": "GenerationConfig validation for GLM-5 and unrecognized-model loading for Olmo-Hybrid are distinct failures." + }, + { + "left": "issue:44483", + "right": "issue:45464", + "accept": false, + "reason": "Both mention chat/completions failures, but one is a generic request rejection and the other is a streaming inference symptom on a specific model; not clearly the same bug." + }, + { + "left": "issue:43066", + "right": "issue:43122", + "accept": false, + "reason": "Tokenizer decoder-type mismatch and version-to-version tokenization differences are related only at a high level, not the same concrete issue." + }, + { + "left": "issue:42175", + "right": "issue:42222", + "accept": false, + "reason": "Missing TensorFlow in a torch-only install and broken VitPose models are unrelated." + }, + { + "left": "issue:42371", + "right": "issue:42831", + "accept": false, + "reason": "TF32 behavior controls and FineGrainedFP8 accuracy problems are different topics." + }, + { + "left": "issue:44075", + "right": "issue:45656", + "accept": false, + "reason": "SGD arguments not being used and an optimizer step firing twice under deepspeed are separate optimizer bugs." + }, + { + "left": "issue:44410", + "right": "issue:45478", + "accept": false, + "reason": "Missing Qwen3Next projections and Qwen3.5-MoE from_pretrained failures do not look like the same defect." + }, + { + "left": "issue:43673", + "right": "issue:45341", + "accept": false, + "reason": "Generation cache behavior during chunked_prefill is unrelated to a testing_utils bug." + }, + { + "left": "issue:43012", + "right": "issue:43577", + "accept": false, + "reason": "A bfloat16 precision warning and Blip2 dtype remaining float32 are different dtype-related symptoms." + }, + { + "left": "issue:44484", + "right": "issue:45478", + "accept": false, + "reason": "save_pretrained shard sizing and Qwen3.5-MoE loading failures are unrelated." + }, + { + "left": "issue:43097", + "right": "issue:44493", + "accept": false, + "reason": "A removed config attribute and unexpected position-id keys are different regression surfaces." + }, + { + "left": "issue:41628", + "right": "issue:45071", + "accept": false, + "reason": "An AutoImageProcessor import error and a PreTrainedConfig type-checking regression 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": 17, + "review_unit_index": 44, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:38617", + "issue:42757", + "issue:43012", + "issue:43064", + "issue:43066", + "issue:43097", + "issue:43335", + "issue:43408", + "issue:43441", + "issue:43452", + "issue:43502", + "issue:43531", + "issue:43673", + "issue:43824", + "issue:43873", + "issue:43874", + "issue:43906", + "issue:43931", + "issue:43986", + "issue:43992", + "issue:44038", + "issue:44062", + "issue:44117", + "issue:44261", + "issue:44263", + "issue:44315", + "issue:44351", + "issue:44360", + "issue:44368", + "issue:44410", + "issue:44484", + "issue:44485", + "issue:44704", + "issue:44829", + "issue:44987", + "issue:45003", + "issue:45071", + "issue:45103", + "issue:45341", + "issue:45372", + "issue:45375", + "issue:45440", + "issue:45542", + "issue:45588", + "issue:46050", + "issue:46123", + "issue:46172" + ], + "soft_pairs": [ + "issue:43874|issue:44261", + "issue:44263|issue:44485", + "issue:45071|issue:45542", + "issue:44360|issue:46172", + "issue:44263|issue:46172", + "issue:43012|issue:43408", + "issue:43441|issue:44829", + "issue:43931|issue:44410", + "issue:43931|issue:44038", + "issue:43335|issue:45071", + "issue:43673|issue:46123", + "issue:43097|issue:43452", + "issue:45003|issue:45341", + "issue:43986|issue:45341", + "issue:44117|issue:44987", + "issue:43408|issue:44368", + "issue:43986|issue:44484", + "issue:43874|issue:44263", + "issue:45440|issue:46172", + "issue:43986|issue:45372", + "issue:43531|issue:45341", + "issue:38617|issue:42757", + "issue:44261|issue:44485", + "issue:43064|issue:44315", + "issue:43097|issue:46050", + "issue:43097|issue:45588", + "issue:44062|issue:44117", + "issue:44410|issue:45375", + "issue:38617|issue:44351", + "issue:44038|issue:44410", + "issue:43502|issue:43992", + "issue:43097|issue:43873", + "issue:44704|issue:45103", + "issue:43986|issue:44117", + "issue:43824|issue:43986", + "issue:43066|issue:43906" + ], + "prepared_review_unit_hash": "8856ca51782a93d16b788a20366e7fd4a77e4eaad7781c66ba11d500ed3d64db", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 36, + "serialized_chars": 37926, + "estimated_input_tokens": 9482, + "estimated_eval_tokens": 19220 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items do not form a real duplicate cluster; they cover many unrelated Transformers bugs and regressions. I found no PRs to compare, and I would not merge any of the soft pairs based on the available evidence.", + "confidence": 0.97, + "canonical_issue_reason": "No single canonical issue exists here: the set spans unrelated problems across imports, model loading, quantization, configuration, tokenizers, and generation.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43502 is the strongest standalone bug report: it is a clear, reproducible user-facing loading-path regression with broad impact.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43874", + "right": "issue:44261", + "accept": false, + "reason": "Different bugs: missing image-processor method vs MLA layernorm config precision handling." + }, + { + "left": "issue:44263", + "right": "issue:44485", + "accept": false, + "reason": "Different code paths: GlmMoeDsaIndexer split behavior vs GLM-5 RoPE implementation." + }, + { + "left": "issue:45071", + "right": "issue:45542", + "accept": false, + "reason": "Unrelated: PretrainedConfig type-checking regression vs backend detection when only tensorboard is installed." + }, + { + "left": "issue:44360", + "right": "issue:46172", + "accept": false, + "reason": "Different DeepSeek/GLM internals: DSA ReLU discussion vs deepseek-v4 transpose issue." + }, + { + "left": "issue:44263", + "right": "issue:46172", + "accept": false, + "reason": "Different bugs in different model internals; no shared failing code path." + }, + { + "left": "issue:43012", + "right": "issue:43408", + "accept": false, + "reason": "Different symptoms and subsystems: bfloat16 compile warning vs model-type mismatch warning." + }, + { + "left": "issue:43441", + "right": "issue:44829", + "accept": false, + "reason": "Both mention FlashAttention, but they are different failures on different models and code paths." + }, + { + "left": "issue:43931", + "right": "issue:44410", + "accept": false, + "reason": "Different model-loading problems: weight shape mismatch vs missing projections in a different architecture." + }, + { + "left": "issue:43931", + "right": "issue:44038", + "accept": false, + "reason": "Different Qwen/VL issues with different failure modes; not the same bug." + }, + { + "left": "issue:43335", + "right": "issue:45071", + "accept": false, + "reason": "Unrelated: SwitchTransformers sparse-layer construction vs PretrainedConfig type-checking." + }, + { + "left": "issue:43673", + "right": "issue:46123", + "accept": false, + "reason": "Different generation bugs: missing cache during chunked prefill vs final partial batch handling." + }, + { + "left": "issue:43097", + "right": "issue:43452", + "accept": false, + "reason": "Different problems: removed tie_embeddings behavior vs gguf_file breaking model/tokenizer loading." + }, + { + "left": "issue:45003", + "right": "issue:45341", + "accept": false, + "reason": "Different areas: unsafe sys.modules access vs a testing_utils bug." + }, + { + "left": "issue:43986", + "right": "issue:45341", + "accept": false, + "reason": "Different issues: missing torchvision handling in AutoProcessor vs testing_utils." + }, + { + "left": "issue:44117", + "right": "issue:44987", + "accept": false, + "reason": "Different failures: tokenizer mapping assumptions vs a specific model-loading regression in 5.1.0." + }, + { + "left": "issue:43408", + "right": "issue:44368", + "accept": false, + "reason": "Both are warnings, but they concern different warnings and different configuration fields." + }, + { + "left": "issue:43986", + "right": "issue:44484", + "accept": false, + "reason": "Unrelated: video-model loading without torchvision vs max_shard_size question." + }, + { + "left": "issue:43874", + "right": "issue:44263", + "accept": false, + "reason": "Different GLM bugs: missing image-processor method vs torch.split return handling." + }, + { + "left": "issue:45440", + "right": "issue:46172", + "accept": false, + "reason": "Different DeepSeek model discrepancies; not the same concrete defect." + }, + { + "left": "issue:43986", + "right": "issue:45372", + "accept": false, + "reason": "Different import/loading failures affecting different dependencies and model paths." + }, + { + "left": "issue:43531", + "right": "issue:45341", + "accept": false, + "reason": "Different areas: Qwen3-MoE sliding_window behavior vs testing_utils." + }, + { + "left": "issue:38617", + "right": "issue:42757", + "accept": false, + "reason": "Both are ImportErrors, but for different missing symbols from different modules." + }, + { + "left": "issue:44261", + "right": "issue:44485", + "accept": false, + "reason": "Different model internals and unrelated fixes: rms_norm_eps precision issue vs GLM-5 RoPE implementation." + }, + { + "left": "issue:43064", + "right": "issue:44315", + "accept": false, + "reason": "Different training issues: FSDP2/PEFT optimizer-state bug vs Liger Kernel not applied with model_init." + }, + { + "left": "issue:43097", + "right": "issue:46050", + "accept": false, + "reason": "Different failures: removed embedding-tie config warning vs sinq quantization save/load breakage." + }, + { + "left": "issue:43097", + "right": "issue:45588", + "accept": false, + "reason": "Different subsystems: tie_embeddings deprecation/removal vs flash_attention sinkless-model crash." + }, + { + "left": "issue:44062", + "right": "issue:44117", + "accept": false, + "reason": "Tokenizer construction error vs tokenizer mapping None; not the same bug." + }, + { + "left": "issue:44410", + "right": "issue:45375", + "accept": false, + "reason": "Different Qwen-family configuration bugs with different missing fields/projections." + }, + { + "left": "issue:38617", + "right": "issue:44351", + "accept": false, + "reason": "Different missing imports from different modules and different upstream API breakages." + }, + { + "left": "issue:44038", + "right": "issue:44410", + "accept": false, + "reason": "Different Qwen model families and different failure modes; not mergeable as one fix." + }, + { + "left": "issue:43502", + "right": "issue:43992", + "accept": false, + "reason": "Different loading regressions: local_files_only network requests vs missing embed_tokens.weight for UMT5." + }, + { + "left": "issue:43097", + "right": "issue:43873", + "accept": false, + "reason": "Different issues: tie_embeddings removal vs quantization/offloading behavior." + }, + { + "left": "issue:44704", + "right": "issue:45103", + "accept": false, + "reason": "Different code paths: AutoProcessor kwargs forwarding vs auto_docstring annotation processing." + }, + { + "left": "issue:43986", + "right": "issue:44117", + "accept": false, + "reason": "Different failures in processor loading vs tokenizer mapping resolution." + }, + { + "left": "issue:43824", + "right": "issue:43986", + "accept": false, + "reason": "Different problems: missing Qwen2.5-VL export vs AutoProcessor crashing without torchvision." + }, + { + "left": "issue:43066", + "right": "issue:43906", + "accept": false, + "reason": "Insufficient evidence of the same bug; one is a tokenizer-decoder mismatch, the other is only a reproduction of another 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": 17, + "review_unit_index": 45, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36683", + "issue:38617", + "issue:42490", + "issue:42757", + "issue:42907", + "issue:43012", + "issue:43064", + "issue:43208", + "issue:43299", + "issue:43352", + "issue:43475", + "issue:43502", + "issue:43526", + "issue:43550", + "issue:43582", + "issue:43618", + "issue:43756", + "issue:43761", + "issue:43792", + "issue:43824", + "issue:43825", + "issue:43867", + "issue:43976", + "issue:43992", + "issue:44038", + "issue:44162", + "issue:44222", + "issue:44230", + "issue:44368", + "issue:44380", + "issue:44483", + "issue:44484", + "issue:44485", + "issue:44514", + "issue:44655", + "issue:44683", + "issue:44938", + "issue:45276", + "issue:45290", + "issue:45478", + "issue:45479", + "issue:45698", + "issue:45753", + "issue:46077", + "issue:46123", + "issue:46132", + "issue:46172", + "issue:46178" + ], + "soft_pairs": [ + "issue:44938|issue:46178", + "issue:43208|issue:43550", + "issue:43992|issue:44484", + "issue:43012|issue:43550", + "issue:43825|issue:44655", + "issue:43012|issue:44368", + "issue:42907|issue:44655", + "issue:42907|issue:45753", + "issue:43352|issue:44380", + "issue:44162|issue:46172", + "issue:43352|issue:43976", + "issue:44380|issue:46132", + "issue:44380|issue:45479", + "issue:43792|issue:46123", + "issue:43064|issue:44380", + "issue:44483|issue:44514", + "issue:44222|issue:45478", + "issue:36683|issue:43582", + "issue:43208|issue:43526", + "issue:43012|issue:44683", + "issue:42757|issue:43824", + "issue:43618|issue:43761", + "issue:42490|issue:43012", + "issue:45698|issue:46172", + "issue:43618|issue:44380", + "issue:38617|issue:43502", + "issue:44038|issue:44230", + "issue:44483|issue:45290", + "issue:43756|issue:44485", + "issue:43299|issue:43867", + "issue:36683|issue:43475", + "issue:45276|issue:46077" + ], + "prepared_review_unit_hash": "8295e67fced754fd2c585756d9070e3809e35a4ca0076292b8be1cc2bcf847e3", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 32, + "serialized_chars": 37020, + "estimated_input_tokens": 9255, + "estimated_eval_tokens": 18766 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is not a duplicate set: it mixes unrelated import errors, model-specific regressions, attention/backends bugs, save/load issues, and API/pipeline behavior changes. The soft edges are mostly superficial keyword similarity rather than the same underlying bug.", + "confidence": 0.94, + "canonical_issue_reason": "No single canonical issue fits this cluster; the items are too heterogeneous, and the proposed soft matches are only broad topic overlaps.", + "canonical_pr_reason": null, + "best_issue_reason": "No issue is a strong global representative for deduping because none covers the others' concrete failure modes.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44938", + "right": "issue:46178", + "accept": false, + "reason": "Different failure classes: Python 3.14 import/load breakage vs an invalid backend mapping for tensorflow_text." + }, + { + "left": "issue:43208", + "right": "issue:43550", + "accept": false, + "reason": "Different models and different bugs: xLSTM training blockers vs Bamba torch.compile/SDPA failure." + }, + { + "left": "issue:43992", + "right": "issue:44484", + "accept": false, + "reason": "Load-state missing weight vs save_pretrained shard-size behavior; not the same underlying issue." + }, + { + "left": "issue:43012", + "right": "issue:43550", + "accept": false, + "reason": "A PyTorch warning on bfloat16 compilation is not the same as a hard compile/SDPA failure." + }, + { + "left": "issue:43825", + "right": "issue:44655", + "accept": false, + "reason": "Pipeline error-message regression vs inability to save pipeline objects are different code paths." + }, + { + "left": "issue:43012", + "right": "issue:44368", + "accept": false, + "reason": "Both are warnings, but they stem from unrelated causes and model/config paths." + }, + { + "left": "issue:42907", + "right": "issue:44655", + "accept": false, + "reason": "Saving dequantized model variants is distinct from saving Pipeline objects." + }, + { + "left": "issue:42907", + "right": "issue:45753", + "accept": false, + "reason": "Dequantized save failure and an image-specific infinite loop are unrelated bugs." + }, + { + "left": "issue:43352", + "right": "issue:44380", + "accept": false, + "reason": "Different attention issues on different models; one is backend support, the other ignores a scaling config." + }, + { + "left": "issue:44162", + "right": "issue:46172", + "accept": false, + "reason": "Completely different model-specific regressions." + }, + { + "left": "issue:43352", + "right": "issue:43976", + "accept": false, + "reason": "Model/backend support bug is unrelated to a Python-version compatibility problem." + }, + { + "left": "issue:44380", + "right": "issue:46132", + "accept": false, + "reason": "Attention scaling ignored and register-changing behavior are distinct attention subsystem bugs." + }, + { + "left": "issue:44380", + "right": "issue:45479", + "accept": false, + "reason": "Attention scaling regression is unrelated to the zero-loss classification bug." + }, + { + "left": "issue:43792", + "right": "issue:46123", + "accept": false, + "reason": "Whisper model runtime failure and MaskGenerationPipeline batching logic are unrelated." + }, + { + "left": "issue:43064", + "right": "issue:44380", + "accept": false, + "reason": "Trainer/FSDP/PEFT optimizer-state corruption is not the same as an attention backend config bug." + }, + { + "left": "issue:44483", + "right": "issue:44514", + "accept": false, + "reason": "Both involve chat-style APIs, but one is a server endpoint acceptance issue and the other is a processor/template crash." + }, + { + "left": "issue:44222", + "right": "issue:45478", + "accept": false, + "reason": "Saving FP8 MoE models and loading Qwen3.5 MoE under v5.4 are different save/load paths." + }, + { + "left": "issue:36683", + "right": "issue:43582", + "accept": false, + "reason": "Gemma3 config attribute error and AppleSilicon allocator TypeError are unrelated." + }, + { + "left": "issue:43208", + "right": "issue:43526", + "accept": false, + "reason": "xLSTM training bugs and BeitImageProcessorFast label reduction bug are unrelated." + }, + { + "left": "issue:43012", + "right": "issue:44683", + "accept": false, + "reason": "A warning during compilation is not the same as a compiled flex_attention failure on newer torch." + }, + { + "left": "issue:42757", + "right": "issue:43824", + "accept": false, + "reason": "Both are import errors, but they concern different symbols and different root causes." + }, + { + "left": "issue:43618", + "right": "issue:43761", + "accept": false, + "reason": "Both are CLIP regressions, but they affect different outputs and code paths; not the same bug." + }, + { + "left": "issue:42490", + "right": "issue:43012", + "accept": false, + "reason": "Local-path slash warning is unrelated to a bfloat16 compilation warning." + }, + { + "left": "issue:45698", + "right": "issue:46172", + "accept": false, + "reason": "Custom-module deserialization after save_pretrained is unrelated to a DeepSeek tensor transpose/dtype bug." + }, + { + "left": "issue:43618", + "right": "issue:44380", + "accept": false, + "reason": "CLIP attentions regression and GPT2 attention scaling regression are different issues." + }, + { + "left": "issue:38617", + "right": "issue:43502", + "accept": false, + "reason": "Importing a removed utility and local_files_only still triggering network calls are unrelated." + }, + { + "left": "issue:44038", + "right": "issue:44230", + "accept": false, + "reason": "Same broad Qwen/MoE family, but one is a loading regression and the other is FP8 inference support." + }, + { + "left": "issue:44483", + "right": "issue:45290", + "accept": false, + "reason": "Both are chat/template-related, but they hit different APIs and failure modes." + }, + { + "left": "issue:43756", + "right": "issue:44485", + "accept": false, + "reason": "Both mention RoPE, but they describe different model implementations and different bugs." + }, + { + "left": "issue:43299", + "right": "issue:43867", + "accept": false, + "reason": "Qwen3-VL-Moe load regression and sorted-state_dict load error are not the same underlying defect." + }, + { + "left": "issue:45276", + "right": "issue:46077", + "accept": false, + "reason": "Gemma4 embedding resize behavior and Gemma4 bidirectional-attention mask construction are separate 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": 17, + "review_unit_index": 46, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:36010", + "issue:36683", + "issue:41669", + "issue:42490", + "issue:42757", + "issue:42890", + "issue:42898", + "issue:42994", + "issue:43010", + "issue:43064", + "issue:43066", + "issue:43299", + "issue:43352", + "issue:43525", + "issue:43611", + "issue:43618", + "issue:43867", + "issue:43901", + "issue:43931", + "issue:43937", + "issue:43976", + "issue:43992", + "issue:44075", + "issue:44077", + "issue:44242", + "issue:44246", + "issue:44355", + "issue:44380", + "issue:44492", + "issue:44625", + "issue:44655", + "issue:44855", + "issue:44938", + "issue:45071", + "issue:45216", + "issue:45278", + "issue:45310", + "issue:45357", + "issue:45375", + "issue:45478", + "issue:45561", + "issue:45593", + "issue:45753", + "issue:45850", + "issue:46077", + "issue:46082", + "issue:46202" + ], + "soft_pairs": [ + "issue:42994|issue:44655", + "issue:43901|issue:44655", + "issue:42898|issue:43066", + "issue:43299|issue:45753", + "issue:36010|issue:42757", + "issue:44077|issue:44380", + "issue:36683|issue:44077", + "issue:43611|issue:44655", + "issue:43352|issue:43937", + "issue:43867|issue:45216", + "issue:44625|issue:46077", + "issue:43976|issue:44938", + "issue:46077|issue:46082", + "issue:43352|issue:45593", + "issue:36683|issue:43525", + "issue:43618|issue:45216", + "issue:36683|issue:44242", + "issue:43352|issue:43931", + "issue:43064|issue:44492", + "issue:43010|issue:45278", + "issue:43992|issue:45310", + "issue:43867|issue:46202", + "issue:44355|issue:44855", + "issue:43867|issue:45375", + "issue:41669|issue:44246", + "issue:36683|issue:43064", + "issue:44938|issue:45071", + "issue:42890|issue:45561", + "issue:43010|issue:45850", + "issue:43867|issue:45357", + "issue:42490|issue:44075", + "issue:43010|issue:43976", + "issue:43618|issue:44077", + "issue:43992|issue:45478" + ], + "prepared_review_unit_hash": "17ba71d62e04ccdf19cbe2eeb7179dbefef7cd6be0a73b1093b14a2dc9a314f0", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 47, + "item_count": 47, + "soft_pair_count": 34, + "serialized_chars": 36810, + "estimated_input_tokens": 9203, + "estimated_eval_tokens": 18662 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are mostly unrelated Transformers regression reports that only share broad surface themes like imports, saving/loading, or config changes. No soft pair looks like the same underlying bug/change, so I would not merge any of them as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:45278 is the broadest umbrella symptom in the set (\u201cmany import errors after update\u201d), so it is the most representative issue, though the cluster is heterogeneous and not a true duplicate set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45278 is the best single representative of the cluster because it captures the broad v5 import-regression theme better than the more model-specific reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:42994", + "right": "issue:44655", + "accept": false, + "reason": "Both mention save_pretrained, but one is quantized model saving and the other is saving Pipeline objects; different code paths." + }, + { + "left": "issue:43901", + "right": "issue:44655", + "accept": false, + "reason": "Docs/runtime mismatch about return_all_scores vs pipeline save_pretrained failure; not the same bug." + }, + { + "left": "issue:42898", + "right": "issue:43066", + "accept": false, + "reason": "Both are tokenizer/config behavior changes, but they concern different settings and symptoms." + }, + { + "left": "issue:43299", + "right": "issue:45753", + "accept": false, + "reason": "Different model families and failures: load-time MoE breakage vs an infinite loop on a specific image." + }, + { + "left": "issue:36010", + "right": "issue:42757", + "accept": false, + "reason": "Both are import errors, but for different symbols from different packages and different root causes." + }, + { + "left": "issue:44077", + "right": "issue:44380", + "accept": false, + "reason": "PatchTSMixer optional post_init vs GPT2 attention scaling under SDPA/FlashAttention are unrelated bugs." + }, + { + "left": "issue:36683", + "right": "issue:44077", + "accept": false, + "reason": "Gemma3 config missing vocab_size is unrelated to PatchTSMixer post_init handling." + }, + { + "left": "issue:43611", + "right": "issue:44655", + "accept": false, + "reason": "base_model_prefix loading regression and pipeline save_pretrained are different code paths." + }, + { + "left": "issue:43352", + "right": "issue:43937", + "accept": false, + "reason": "Nemotron FlashAttention support and invalid GenerationConfig for GLM-5 are unrelated issues." + }, + { + "left": "issue:43867", + "right": "issue:45216", + "accept": false, + "reason": "Both are Qwen3.5-related, but one is state_dict ordering/load failure and the other is incorrect saved checkpoint content." + }, + { + "left": "issue:44625", + "right": "issue:46077", + "accept": false, + "reason": "num_labels propagation and Gemma4 bidirectional attention masks are different config bugs." + }, + { + "left": "issue:43976", + "right": "issue:44938", + "accept": false, + "reason": "Both are Python-version breakages, but they involve different versions and different causes." + }, + { + "left": "issue:46077", + "right": "issue:46082", + "accept": false, + "reason": "Both are config issues, but one is attention masking and the other is head_dim validation; not the same fix." + }, + { + "left": "issue:43352", + "right": "issue:45593", + "accept": false, + "reason": "Nemotron FlashAttention support and D-FINE auxiliary-loss behavior are unrelated." + }, + { + "left": "issue:36683", + "right": "issue:43525", + "accept": false, + "reason": "Gemma3 missing vocab_size vs Llama4 missing pad_token_id are different model-specific config gaps." + }, + { + "left": "issue:43618", + "right": "issue:45216", + "accept": false, + "reason": "CLIPOutput attentions regression is unrelated to Qwen3.5 save_pretrained checkpoint corruption." + }, + { + "left": "issue:36683", + "right": "issue:44242", + "accept": false, + "reason": "Gemma3 vocab_size and load balancing loss omission are unrelated bugs." + }, + { + "left": "issue:43352", + "right": "issue:43931", + "accept": false, + "reason": "FlashAttention support for Nemotron and Qwen3-VL weight-shape mismatch are different failures." + }, + { + "left": "issue:43064", + "right": "issue:44492", + "accept": false, + "reason": "FSDP2/PEFT optimizer-state corruption is unrelated to a typo in cache strategy names." + }, + { + "left": "issue:43010", + "right": "issue:45278", + "accept": false, + "reason": "Both are broad v5 regressions, but one is cache update decoration and the other is import errors; not the same concrete bug." + }, + { + "left": "issue:43992", + "right": "issue:45310", + "accept": false, + "reason": "UMT5Encoder missing embed_tokens.weight and Qwen3.5 MoE from_pretrained failure are different model/load bugs." + }, + { + "left": "issue:43867", + "right": "issue:46202", + "accept": false, + "reason": "State_dict-sorted load failure and Gemma pipeline roundtrip failure are unrelated." + }, + { + "left": "issue:44355", + "right": "issue:44855", + "accept": false, + "reason": "Compiled-file import errors and Python 3.13 @torch.jit.script parsing/IndentationError have different causes." + }, + { + "left": "issue:43867", + "right": "issue:45375", + "accept": false, + "reason": "Qwen3.5 state_dict loading and missing deepstack_visual_indexes are different config/save issues." + }, + { + "left": "issue:41669", + "right": "issue:44246", + "accept": false, + "reason": "Import-time slowdown from removing star imports and a general 'import transformers takes long' report are not the same underlying bug." + }, + { + "left": "issue:36683", + "right": "issue:43064", + "accept": false, + "reason": "Gemma3 config field absence and Trainer optimizer-state corruption are unrelated." + }, + { + "left": "issue:44938", + "right": "issue:45071", + "accept": false, + "reason": "Python 3.14 load failure and PretrainedConfig type-checking regression are different breakages." + }, + { + "left": "issue:42890", + "right": "issue:45561", + "accept": false, + "reason": "Flaky integration tests from missing set_seed and xdist file races are different testing problems." + }, + { + "left": "issue:43010", + "right": "issue:45850", + "accept": false, + "reason": "A specific no_grad decoration request is not the same as a broad complaint that 'too many models' break." + }, + { + "left": "issue:43867", + "right": "issue:45357", + "accept": false, + "reason": "Qwen3.5 checkpoint load/save failure and incorrect visual encoder keys on save_pretrained are related only by model family, not by bug." + }, + { + "left": "issue:42490", + "right": "issue:44075", + "accept": false, + "reason": "Trailing-slash local model import warning and unused SGD args are unrelated." + }, + { + "left": "issue:43010", + "right": "issue:43976", + "accept": false, + "reason": "Cache update no_grad and Python 3.9/3.10 compatibility are unrelated." + }, + { + "left": "issue:43618", + "right": "issue:44077", + "accept": false, + "reason": "CLIP attentions assignment regression and PatchTSMixer post_init handling are unrelated." + }, + { + "left": "issue:43992", + "right": "issue:45478", + "accept": false, + "reason": "UMT5Encoder missing embeddings and Qwen3.5 MoE from_pretrained failures are different model-specific 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": 17, + "review_unit_index": 47, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:28282", + "issue:30333", + "issue:30990", + "issue:31795", + "issue:33453", + "issue:34689", + "issue:36296", + "issue:42548", + "issue:42757", + "issue:42831", + "issue:42890", + "issue:43010", + "issue:43065", + "issue:43232", + "issue:43299", + "issue:43502", + "issue:43575", + "issue:43576", + "issue:43618", + "issue:43723", + "issue:43824", + "issue:43827", + "issue:43874", + "issue:44062", + "issue:44112", + "issue:44222", + "issue:44230", + "issue:44315", + "issue:44351", + "issue:44355", + "issue:44360", + "issue:44387", + "issue:44485", + "issue:44556", + "issue:44655", + "issue:44749", + "issue:44857", + "issue:44961", + "issue:44964", + "issue:44977", + "issue:45071", + "issue:45125", + "issue:45341", + "issue:45375", + "issue:45440", + "issue:45478", + "issue:45600", + "issue:46132" + ], + "soft_pairs": [ + "issue:36296|issue:43575", + "issue:28282|issue:33453", + "issue:43618|issue:44857", + "issue:44360|issue:45440", + "issue:43618|issue:44977", + "issue:42890|issue:44964", + "issue:43502|issue:44062", + "issue:42890|issue:44112", + "issue:42890|issue:45600", + "issue:43576|issue:46132", + "issue:43723|issue:44556", + "issue:44387|issue:44556", + "issue:42890|issue:45341", + "issue:44222|issue:45125", + "issue:43010|issue:43065", + "issue:42548|issue:44351", + "issue:44355|issue:44749", + "issue:43502|issue:44485", + "issue:45125|issue:45478", + "issue:30333|issue:33453", + "issue:43010|issue:43232", + "issue:45125|issue:45375", + "issue:30990|issue:31795", + "issue:43502|issue:44222", + "issue:43299|issue:44556", + "issue:42831|issue:43874", + "issue:43502|issue:44961", + "issue:44315|issue:44360", + "issue:43827|issue:44961", + "issue:44355|issue:45071", + "issue:30333|issue:36296", + "issue:44355|issue:44655", + "issue:33453|issue:34689", + "issue:42757|issue:43576", + "issue:44222|issue:44230", + "issue:43576|issue:45071", + "issue:33453|issue:36296", + "issue:43576|issue:43824" + ], + "prepared_review_unit_hash": "99993f86265dd9860150b26618c7ab2ba71d939eebe48c19d04bb38ac3fdfcc0", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 38, + "serialized_chars": 38489, + "estimated_input_tokens": 9623, + "estimated_eval_tokens": 19502 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated issues across imports, loading, tests, docs, FP8, and tensor-parallel behavior. The Qwen3.5 MoE reports (issue:45125 and issue:45478) look plausibly related at a high level, but the evidence here is not strong enough to treat them as the same bug or as one mergeable fix.", + "confidence": 0.78, + "canonical_issue_reason": "issue:45125 is the best anchor because it describes a concrete tensor-parallel failure with `_tp_plan`, making it the most specific and actionable Qwen3.5 MoE-related report in the set.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45125 is the strongest representative issue overall: it is concrete, reproducible, and specific enough to serve as the anchor for the nearby Qwen3.5 MoE loading reports, even though that connection is only plausible rather than duplicate-level.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:36296", + "right": "issue:43575", + "accept": false, + "reason": "Both involve tensor parallelism, but one is a generic training bug and the other is a model-load OOM; not the same concrete defect." + }, + { + "left": "issue:28282", + "right": "issue:33453", + "accept": false, + "reason": "Different failure classes: missing PyTorch import vs tokenizer loading regression." + }, + { + "left": "issue:43618", + "right": "issue:44857", + "accept": false, + "reason": "Unrelated model output attribute issue vs AMP/CUDA crash in a different loss path." + }, + { + "left": "issue:44360", + "right": "issue:45440", + "accept": false, + "reason": "Different code paths and symptoms; DSA indexer discussion is unrelated to DeepSeekV3MoE divergence." + }, + { + "left": "issue:43618", + "right": "issue:44977", + "accept": false, + "reason": "CLIPOutput attentions assignment and Qwen3.5 flash-attention generation are distinct problems." + }, + { + "left": "issue:42890", + "right": "issue:44964", + "accept": false, + "reason": "Test seeding flakiness is unrelated to loading a specific multimodal model." + }, + { + "left": "issue:43502", + "right": "issue:44062", + "accept": false, + "reason": "local_files_only network leak and AddedToken keyword collision are different bugs." + }, + { + "left": "issue:42890", + "right": "issue:44112", + "accept": false, + "reason": "Both are test failures, but on different models and causes; not the same bug." + }, + { + "left": "issue:42890", + "right": "issue:45600", + "accept": false, + "reason": "Different CI/test issues with different affected files and root causes." + }, + { + "left": "issue:43576", + "right": "issue:46132", + "accept": false, + "reason": "A broken env command is unrelated to AttentionInterface.register behavior changes." + }, + { + "left": "issue:43723", + "right": "issue:44556", + "accept": false, + "reason": "Both are loading regressions after v5 upgrades, but one is tokenizer-specific and the other is checkpoint reload; not concrete duplicates." + }, + { + "left": "issue:44387", + "right": "issue:44556", + "accept": false, + "reason": "Int4 CUDA memory OOM and checkpoint reload failure are separate issues." + }, + { + "left": "issue:42890", + "right": "issue:45341", + "accept": false, + "reason": "Test seeding flakiness and a small testing_utils bug are not the same underlying defect." + }, + { + "left": "issue:44222", + "right": "issue:45125", + "accept": false, + "reason": "FP8 save_pretrained/moe support and missing _tp_plan for tensor parallelism are different code paths." + }, + { + "left": "issue:43010", + "right": "issue:43065", + "accept": false, + "reason": "Cache update no_grad decoration and a dummy Conv2d in Sam3PixelDecoder are unrelated." + }, + { + "left": "issue:42548", + "right": "issue:44351", + "accept": false, + "reason": "Both are import errors, but for different symbols and likely different missing exports." + }, + { + "left": "issue:44355", + "right": "issue:44749", + "accept": false, + "reason": "Compiled Python file errors and slower filtering after upgrade are unrelated." + }, + { + "left": "issue:43502", + "right": "issue:44485", + "accept": false, + "reason": "local_files_only network behavior and GLM-5 RoPE implementation are different defects." + }, + { + "left": "issue:45125", + "right": "issue:45478", + "accept": false, + "reason": "Both are Qwen3.5 MoE / v5.4.0 regressions, but one is a specific tensor-parallel `_tp_plan` failure and the other is a broader `from_pretrained` error; related in theme, not strong enough to treat as the same bug." + }, + { + "left": "issue:30333", + "right": "issue:33453", + "accept": false, + "reason": "MLflow reporting on failed training jobs is unrelated to tokenizer loading regression." + }, + { + "left": "issue:43010", + "right": "issue:43232", + "accept": false, + "reason": "Generation kwargs sync behavior is a different code path from cache/layer no_grad decoration." + }, + { + "left": "issue:45125", + "right": "issue:45375", + "accept": false, + "reason": "Same model family, but one is tensor-parallel loading while the other is a missing config field; not the same bug." + }, + { + "left": "issue:30990", + "right": "issue:31795", + "accept": false, + "reason": "Sentence Transformers loading hang and forward() doc confusion are unrelated." + }, + { + "left": "issue:43502", + "right": "issue:44222", + "accept": false, + "reason": "Network request leakage and FP8 moe save_pretrained behavior are not the same issue." + }, + { + "left": "issue:43299", + "right": "issue:44556", + "accept": false, + "reason": "Both are v5 loading regressions, but one is specific to Qwen3VL MoE while the other is generic checkpoint reload." + }, + { + "left": "issue:42831", + "right": "issue:43874", + "accept": false, + "reason": "FP8 accuracy concerns and missing image processor method are unrelated." + }, + { + "left": "issue:44355", + "right": "issue:45071", + "accept": false, + "reason": "Compiled-file execution errors and PretrainedConfig type checking are different defects." + }, + { + "left": "issue:30333", + "right": "issue:36296", + "accept": false, + "reason": "MLflow job status reporting and tensor-parallel training bug are unrelated." + }, + { + "left": "issue:44355", + "right": "issue:44655", + "accept": false, + "reason": "Compiled Python errors and Pipeline.save_pretrained issues are different problems." + }, + { + "left": "issue:33453", + "right": "issue:34689", + "accept": false, + "reason": "Tokenizer loading regression and Llama model loading breakage are not the same concrete bug." + }, + { + "left": "issue:42757", + "right": "issue:43576", + "accept": false, + "reason": "huggingface_hub import breakage and transformers env command breakage are unrelated." + }, + { + "left": "issue:44222", + "right": "issue:44230", + "accept": false, + "reason": "Both concern FP8/moe, but one is save_pretrained and the other is inference support; not the same bug." + }, + { + "left": "issue:43576", + "right": "issue:45071", + "accept": false, + "reason": "env command breakage and PretrainedConfig type-checking regression are unrelated." + }, + { + "left": "issue:33453", + "right": "issue:36296", + "accept": false, + "reason": "Tokenizer loading regression and tensor-parallel training bug are different issues." + }, + { + "left": "issue:43576", + "right": "issue:43824", + "accept": false, + "reason": "Broken env command is unrelated to the missing Qwen2_5_VLForConditionalGeneration export." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The overall clustering is mostly conservative, but the positive soft-edge verdict for issue:45125 vs issue:45478 overstates the packet evidence. From the packet we only know one is a specific tensor-parallel `_tp_plan` failure and the other is a broader Qwen3.5 MoE `from_pretrained` error; that is enough for a plausible connection, not a strong duplicate conclusion or a clear single-bug merge. The summary and canonical reasons should be softened accordingly." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 1, + "component_count": 17, + "review_unit_index": 48, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:31795", + "issue:36296", + "issue:38617", + "issue:41628", + "issue:41669", + "issue:42371", + "issue:42548", + "issue:42890", + "issue:43352", + "issue:43408", + "issue:43525", + "issue:43526", + "issue:43572", + "issue:43576", + "issue:43673", + "issue:43901", + "issue:43976", + "issue:44038", + "issue:44230", + "issue:44246", + "issue:44273", + "issue:44295", + "issue:44297", + "issue:44315", + "issue:44355", + "issue:44393", + "issue:44485", + "issue:44492", + "issue:44556", + "issue:44623", + "issue:44704", + "issue:44908", + "issue:44961", + "issue:45003", + "issue:45071", + "issue:45092", + "issue:45125", + "issue:45230", + "issue:45278", + "issue:45362", + "issue:45468", + "issue:45542", + "issue:45753", + "issue:45850", + "issue:46095", + "issue:46143", + "issue:46144", + "issue:46178" + ], + "soft_pairs": [ + "issue:31795|issue:38617", + "issue:41628|issue:42548", + "issue:44961|issue:45468", + "issue:38617|issue:43576", + "issue:44355|issue:46178", + "issue:46143|issue:46144", + "issue:44908|issue:44961", + "issue:44485|issue:44961", + "issue:43673|issue:44492", + "issue:36296|issue:43901", + "issue:36296|issue:43526", + "issue:45362|issue:45850", + "issue:44623|issue:45230", + "issue:44273|issue:45542", + "issue:44038|issue:45125", + "issue:44273|issue:45003", + "issue:44393|issue:45071", + "issue:44230|issue:46095", + "issue:44393|issue:45753", + "issue:43576|issue:44556", + "issue:43525|issue:45850", + "issue:41669|issue:43673", + "issue:44556|issue:45092", + "issue:43572|issue:45850", + "issue:44492|issue:45850", + "issue:42371|issue:44492", + "issue:45278|issue:45850", + "issue:44246|issue:44273", + "issue:42890|issue:44908", + "issue:43408|issue:44315", + "issue:44704|issue:44908", + "issue:43976|issue:44393", + "issue:43352|issue:44393", + "issue:44297|issue:45230", + "issue:43576|issue:44908", + "issue:44295|issue:45230", + "issue:44908|issue:45071" + ], + "prepared_review_unit_hash": "7057b1948095f019f5ec7802f7d57c6da9942d2516422bb56b09e1742a6cb247", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 37, + "serialized_chars": 38128, + "estimated_input_tokens": 9532, + "estimated_eval_tokens": 19320 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is a loose collection of Transformers regressions and model-specific bugs, not a set of true duplicates. The closest shared theme is broad v5 breakage, so the most representative issue is a generic umbrella report rather than a precise defect.", + "confidence": 0.88, + "canonical_issue_reason": "issue:45850 is the broadest umbrella among the set (\u201cSince 5.0 version it breaks too many models\u201d), so it best represents the overall v5-regression theme even though it is very generic.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:45850 is the best single representative for the cluster because it captures the widest scope of the repeated \u201cv5 breaks things\u201d reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:31795", + "right": "issue:38617", + "accept": false, + "reason": "Documentation confusion about forward arguments is unrelated to an ImportError for layer_type_validation." + }, + { + "left": "issue:41628", + "right": "issue:42548", + "accept": false, + "reason": "Both are import failures, but for different missing symbols and likely different root causes." + }, + { + "left": "issue:44961", + "right": "issue:45468", + "accept": false, + "reason": "The titles are unrelated; one is a nonsense/uninformative issue and the other is a Gemma-4 audio positional-encoding bug." + }, + { + "left": "issue:38617", + "right": "issue:43576", + "accept": false, + "reason": "A missing import name and a broken CLI command in v5 are different problems." + }, + { + "left": "issue:44355", + "right": "issue:46178", + "accept": false, + "reason": "Compiled Python file errors and a tensorflow_text backend mapping error are not the same bug." + }, + { + "left": "issue:46143", + "right": "issue:46144", + "accept": false, + "reason": "Both concern RoFormer, but one is kwargs propagation and the other is attention-interface usage; different code paths." + }, + { + "left": "issue:44908", + "right": "issue:44961", + "accept": false, + "reason": "A scheduler kwarg bug and an unrelated nonspecific issue do not match." + }, + { + "left": "issue:44485", + "right": "issue:44961", + "accept": false, + "reason": "RoPE implementation discussion is unrelated to the racoon issue." + }, + { + "left": "issue:43673", + "right": "issue:44492", + "accept": false, + "reason": "Cache missing in chunked prefill is not the same as a typo in cache strategy docs/code." + }, + { + "left": "issue:36296", + "right": "issue:43901", + "accept": false, + "reason": "Tensor parallel training bugs and text-classification pipeline docs mentioning return_all_scores are unrelated." + }, + { + "left": "issue:36296", + "right": "issue:43526", + "accept": false, + "reason": "Tensor parallel training and BeitImageProcessorFast label reduction are different subsystems and failures." + }, + { + "left": "issue:45362", + "right": "issue:45850", + "accept": false, + "reason": "A specific Qwen3.5-35B chat crash is not the same concrete bug as the generic \u201cv5 breaks too many models\u201d report." + }, + { + "left": "issue:44623", + "right": "issue:45230", + "accept": false, + "reason": "Missing files on processor.save_pretrained and a vague bug report are not the same issue." + }, + { + "left": "issue:44273", + "right": "issue:45542", + "accept": false, + "reason": "Lazy loading malfunction and undefined tf backend from tensorboard-only installs are different bugs." + }, + { + "left": "issue:44038", + "right": "issue:45125", + "accept": false, + "reason": "A Qwen3-VL-Moe bug and missing _tp_plan for tensor parallelism are related only by model family, not by the same defect." + }, + { + "left": "issue:44273", + "right": "issue:45003", + "accept": false, + "reason": "Lazy loading problems and unsafe sys.modules access may overlap conceptually, but they are not the same concrete failure." + }, + { + "left": "issue:44393", + "right": "issue:45071", + "accept": false, + "reason": "Qwen3-VL bounding-box output errors are unrelated to PretrainedConfig type-checking regressions." + }, + { + "left": "issue:44230", + "right": "issue:46095", + "accept": false, + "reason": "FP8 inference support for Qwen3-VL/qwen3.5 moe is unrelated to a DeepSeek weight-conversion question." + }, + { + "left": "issue:44393", + "right": "issue:45753", + "accept": false, + "reason": "Both involve Qwen3-VL variants, but one is 2D bbox output and the other is an infinite loop on a specific image; different symptoms and fixes." + }, + { + "left": "issue:43576", + "right": "issue:44556", + "accept": false, + "reason": "A broken env command and checkpoint reload incompatibility after upgrade are different version-5 regressions." + }, + { + "left": "issue:43525", + "right": "issue:45850", + "accept": false, + "reason": "Missing pad_token_id in Llama4Config is a specific config bug, not the same as the broad model-breakage umbrella." + }, + { + "left": "issue:41669", + "right": "issue:43673", + "accept": false, + "reason": "Removing import * for performance and missing GenerationMixin cache in chunked_prefill are unrelated." + }, + { + "left": "issue:44556", + "right": "issue:45092", + "accept": false, + "reason": "Both are v5 incompatibilities, but one is checkpoint reload breakage and the other is remote-code/meta-init incompatibility for a specific model family." + }, + { + "left": "issue:43572", + "right": "issue:45850", + "accept": false, + "reason": "StableLmConfig missing pad_token_idx is a specific configuration regression, not the generic v5-breakage report." + }, + { + "left": "issue:44492", + "right": "issue:45850", + "accept": false, + "reason": "A typo in cache strategies is not the same defect as broad model breakage after v5." + }, + { + "left": "issue:42371", + "right": "issue:44492", + "accept": false, + "reason": "TF32 API settings guidance and a cache-strategy typo are unrelated." + }, + { + "left": "issue:45278", + "right": "issue:45850", + "accept": false, + "reason": "Many import errors after upgrade and generic model breakage are both broad v5 regressions, but not the same underlying bug." + }, + { + "left": "issue:44246", + "right": "issue:44273", + "accept": false, + "reason": "Import performance spikes and lazy-loading failure are related to loading, but not the same concrete issue." + }, + { + "left": "issue:42890", + "right": "issue:44908", + "accept": false, + "reason": "Missing set_seed in integration tests and inverse_sqrt scheduler kwargs handling are unrelated." + }, + { + "left": "issue:43408", + "right": "issue:44315", + "accept": false, + "reason": "A sam3_video/sam3_tracker model-type warning and Liger Kernel not applied with model_init are different problems." + }, + { + "left": "issue:44704", + "right": "issue:44908", + "accept": false, + "reason": "AutoProcessor kwargs not passed to cached_file and scheduler kwargs being ignored are separate kwargs bugs in different components." + }, + { + "left": "issue:43976", + "right": "issue:44393", + "accept": false, + "reason": "Python version compatibility issues and Qwen3-VL bbox hallucination/error are unrelated." + }, + { + "left": "issue:43352", + "right": "issue:44393", + "accept": false, + "reason": "Flash Attention 2 support for NemotronHForCausalLM is unrelated to Qwen3-VL bbox output errors." + }, + { + "left": "issue:44297", + "right": "issue:45230", + "accept": false, + "reason": "Tokenizer save_pretrained mismatch and a generic bug report are not the same defect." + }, + { + "left": "issue:43576", + "right": "issue:44908", + "accept": false, + "reason": "Broken env command and scheduler kwargs handling are unrelated version-5 regressions." + }, + { + "left": "issue:44295", + "right": "issue:45230", + "accept": false, + "reason": "Reading position_ids after buffer registration is unrelated to a generic bug report." + }, + { + "left": "issue:44908", + "right": "issue:45071", + "accept": false, + "reason": "Scheduler kwargs being ignored and PretrainedConfig type-checking regressions are different code paths and symptoms." + } + ] + }, + "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": 17, + "review_unit_index": 49, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:31515", + "issue:31795", + "issue:33453", + "issue:34689", + "issue:41628", + "issue:41669", + "issue:42371", + "issue:42913", + "issue:43066", + "issue:43298", + "issue:43502", + "issue:43519", + "issue:43525", + "issue:43572", + "issue:43576", + "issue:43606", + "issue:43618", + "issue:43704", + "issue:43827", + "issue:43976", + "issue:44077", + "issue:44261", + "issue:44263", + "issue:44273", + "issue:44315", + "issue:44351", + "issue:44360", + "issue:44393", + "issue:44485", + "issue:44492", + "issue:44623", + "issue:44655", + "issue:44829", + "issue:44861", + "issue:44908", + "issue:44945", + "issue:44998", + "issue:45092", + "issue:45230", + "issue:45290", + "issue:45310", + "issue:45341", + "issue:45468", + "issue:45478", + "issue:45850", + "issue:46018", + "issue:46095", + "issue:46172" + ], + "soft_pairs": [ + "issue:41669|issue:44351", + "issue:41669|issue:45341", + "issue:44492|issue:44945", + "issue:43976|issue:45850", + "issue:44393|issue:45478", + "issue:44077|issue:44861", + "issue:43827|issue:44908", + "issue:41628|issue:41669", + "issue:31795|issue:33453", + "issue:44315|issue:44829", + "issue:43576|issue:44273", + "issue:44360|issue:45468", + "issue:44655|issue:44861", + "issue:45230|issue:45310", + "issue:44273|issue:44908", + "issue:46018|issue:46172", + "issue:43519|issue:44485", + "issue:43519|issue:44908", + "issue:41669|issue:43704", + "issue:31795|issue:34689", + "issue:31515|issue:31795", + "issue:44315|issue:45092", + "issue:43704|issue:44485", + "issue:44485|issue:45468", + "issue:43298|issue:46095", + "issue:42371|issue:43704", + "issue:43502|issue:43519", + "issue:43519|issue:44623", + "issue:43519|issue:43704", + "issue:43606|issue:45468", + "issue:44263|issue:45468", + "issue:44261|issue:45468", + "issue:42913|issue:43066", + "issue:44908|issue:44998", + "issue:44492|issue:44998", + "issue:43618|issue:44998", + "issue:44861|issue:45290", + "issue:44998|issue:45850", + "issue:44998|issue:45341", + "issue:43525|issue:44861", + "issue:43572|issue:44861" + ], + "prepared_review_unit_hash": "2bb45afb0272c6ab006ec22648266b5b07d655d5e724c370deb7ab88122a18bb", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 48, + "item_count": 48, + "soft_pair_count": 41, + "serialized_chars": 39192, + "estimated_input_tokens": 9798, + "estimated_eval_tokens": 19852 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These items are mostly unrelated bug reports that only share broad keywords like loading, tokenizer, v5, or import. I would not merge any of the soft pairs as duplicates.", + "confidence": 0.93, + "canonical_issue_reason": "issue:41669 is the most concrete and broadly representative report in this set, but the set does not actually form a single duplicate cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:41669 is the best issue to anchor on if one must choose, because it is a specific, actionable bug report with the strongest superficial overlap to other import-related reports.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41669", + "right": "issue:44351", + "accept": false, + "reason": "Both mention imports, but one is about model import-star usage/performance and the other is a missing top-level symbol; different bugs and fixes." + }, + { + "left": "issue:41669", + "right": "issue:45341", + "accept": false, + "reason": "Unrelated: one is a library import/packaging concern, the other is a testing utility bug." + }, + { + "left": "issue:44492", + "right": "issue:44945", + "accept": false, + "reason": "Cache-strategy typo and pipeline-parallelism output error are not the same code-path or bug." + }, + { + "left": "issue:43976", + "right": "issue:45850", + "accept": false, + "reason": "One is a Python-version compatibility issue; the other is a broad complaint about many model regressions. Too generic to be the same bug." + }, + { + "left": "issue:44393", + "right": "issue:45478", + "accept": false, + "reason": "Both are Qwen-related, but they describe different model behaviors and likely different failure points." + }, + { + "left": "issue:44077", + "right": "issue:44861", + "accept": false, + "reason": "Optional post-init validation and tied-weight-key attribute handling are separate implementation issues." + }, + { + "left": "issue:43827", + "right": "issue:44908", + "accept": false, + "reason": "Documentation referencing removed pipeline APIs is unrelated to a scheduler kwarg bug." + }, + { + "left": "issue:41628", + "right": "issue:41669", + "accept": false, + "reason": "Both involve imports, but one is a missing exported class and the other is a model import-star refactor/performance issue." + }, + { + "left": "issue:31795", + "right": "issue:33453", + "accept": false, + "reason": "One is forward-API documentation confusion; the other is a tokenizer loading regression." + }, + { + "left": "issue:44315", + "right": "issue:44829", + "accept": false, + "reason": "Liger kernel application under model_init and flash-attention training degeneration are different training paths and failure modes." + }, + { + "left": "issue:43576", + "right": "issue:44273", + "accept": false, + "reason": "Broken env command and lazy loading failure are unrelated CLI/runtime issues." + }, + { + "left": "issue:44360", + "right": "issue:45468", + "accept": false, + "reason": "Different model components and different bugs; no shared concrete code-path." + }, + { + "left": "issue:44655", + "right": "issue:44861", + "accept": false, + "reason": "Saving pipeline objects and tied-weight-key attribute crashes are separate save/serialization problems." + }, + { + "left": "issue:45230", + "right": "issue:45310", + "accept": false, + "reason": "One is a placeholder bug report, the other is a specific from_pretrained failure for Qwen3.5 MoE." + }, + { + "left": "issue:44273", + "right": "issue:44908", + "accept": false, + "reason": "Lazy loading behavior and inverse_sqrt scheduler kwargs are unrelated." + }, + { + "left": "issue:46018", + "right": "issue:46172", + "accept": false, + "reason": "Shared-expert gating and a tensor transpose bug in deepseek-v4 are different defects." + }, + { + "left": "issue:43519", + "right": "issue:44485", + "accept": false, + "reason": "Timestamp calculation in Qwen3VL processor and GLM-5 RoPE implementation are different model-specific bugs." + }, + { + "left": "issue:43519", + "right": "issue:44908", + "accept": false, + "reason": "Processor timestamp math and scheduler kwargs handling are unrelated." + }, + { + "left": "issue:41669", + "right": "issue:43704", + "accept": false, + "reason": "Import-star cleanup/performance and VRAM leak in multi-threaded dataloading are unrelated." + }, + { + "left": "issue:31795", + "right": "issue:34689", + "accept": false, + "reason": "Documentation confusion for forward inputs is not the same as a model-loading regression for Llama 3.2 Vision." + }, + { + "left": "issue:31515", + "right": "issue:31795", + "accept": false, + "reason": "Checkpoint loading speed and forward-method documentation are unrelated issues." + }, + { + "left": "issue:44315", + "right": "issue:45092", + "accept": false, + "reason": "Both mention model initialization, but they concern different models and different failure mechanisms." + }, + { + "left": "issue:43704", + "right": "issue:44485", + "accept": false, + "reason": "A VRAM leak under dataloader threads and a RoPE implementation issue are not the same bug." + }, + { + "left": "issue:44485", + "right": "issue:45468", + "accept": false, + "reason": "Distinct model internals and distinct reported symptoms; no shared fix path." + }, + { + "left": "issue:43298", + "right": "issue:46095", + "accept": false, + "reason": "Continuous batching audio support and a weight conversion question are not duplicate bug reports." + }, + { + "left": "issue:42371", + "right": "issue:43704", + "accept": false, + "reason": "TF32 settings guidance and a VRAM leak are unrelated." + }, + { + "left": "issue:43502", + "right": "issue:43519", + "accept": false, + "reason": "Remote-file API calls despite local_files_only and Qwen3VL timestamp math are different subsystems." + }, + { + "left": "issue:43519", + "right": "issue:44623", + "accept": false, + "reason": "Processor timestamp calculation and processor.save_pretrained file omission are different bugs." + }, + { + "left": "issue:43519", + "right": "issue:43704", + "accept": false, + "reason": "No shared code-path: processor timestamp logic vs multi-thread VRAM leak." + }, + { + "left": "issue:43606", + "right": "issue:45468", + "accept": false, + "reason": "CPU offload device mismatch and Gemma audio positional encoding are unrelated." + }, + { + "left": "issue:44263", + "right": "issue:45468", + "accept": false, + "reason": "A torch.split return-value bug in one indexer and Gemma audio encoding are not the same issue." + }, + { + "left": "issue:44261", + "right": "issue:45468", + "accept": false, + "reason": "RMS norm epsilon precision discussion and Gemma audio positional encoding are different technical problems." + }, + { + "left": "issue:42913", + "right": "issue:43066", + "accept": false, + "reason": "Both are tokenizer-related v5 complaints, but one is generic behavior change and the other is a specific decoder-type bug; not enough to treat as the same underlying issue." + }, + { + "left": "issue:44908", + "right": "issue:44998", + "accept": false, + "reason": "Scheduler kwarg handling and an unrelated placeholder issue are not duplicates." + }, + { + "left": "issue:44492", + "right": "issue:44998", + "accept": false, + "reason": "A typo report and an irrelevant placeholder issue share no bug content." + }, + { + "left": "issue:43618", + "right": "issue:44998", + "accept": false, + "reason": "CLIP attentions assignment regression and an irrelevant placeholder issue are unrelated." + }, + { + "left": "issue:44861", + "right": "issue:45290", + "accept": false, + "reason": "Tied-weight key handling and chat-template tool-call crashes are different code paths." + }, + { + "left": "issue:44998", + "right": "issue:45850", + "accept": false, + "reason": "A placeholder issue cannot be merged with a broad regression complaint; no concrete overlap." + }, + { + "left": "issue:44998", + "right": "issue:45341", + "accept": false, + "reason": "Placeholder issue and testing_utils bug are unrelated." + }, + { + "left": "issue:43525", + "right": "issue:44861", + "accept": false, + "reason": "Missing pad_token_id on a config and an AttributeError in tied-weight key processing are different bugs." + }, + { + "left": "issue:43572", + "right": "issue:44861", + "accept": false, + "reason": "Missing pad_token_idx after v5 update and tied-weight-key crash are not the same failure." + } + ] + }, + "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": 17, + "review_unit_index": 50, + "review_unit_count": 50, + "status": "reviewed", + "reason": null, + "source": "cache", + "cache_hit": true, + "model": "gpt-5.4-mini?service_tier=flex", + "cluster_id": "cluster-10000-429", + "nodes": [ + "issue:30333", + "issue:31515", + "issue:33453", + "issue:36296", + "issue:37934", + "issue:38617", + "issue:42936", + "issue:43240", + "issue:43298", + "issue:43668", + "issue:43717", + "issue:43813", + "issue:44031", + "issue:44230", + "issue:44623", + "issue:45310", + "issue:46018", + "issue:46144" + ], + "soft_pairs": [ + "issue:31515|issue:38617", + "issue:44230|issue:44623", + "issue:30333|issue:31515", + "issue:31515|issue:36296", + "issue:44230|issue:45310", + "issue:31515|issue:33453", + "issue:43298|issue:44230", + "issue:43717|issue:46144", + "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": "86ac08ff22400010fe54bc67682f9a4d8ba89ecf1cd77ff6bdbfc96eae6008a8", + "component_budget": { + "node_count": 429, + "item_count": 429, + "soft_pair_count": 1585, + "serialized_chars": 820591, + "estimated_input_tokens": 205148, + "estimated_eval_tokens": 410552 + }, + "budget": { + "node_count": 18, + "item_count": 18, + "soft_pair_count": 19, + "serialized_chars": 15703, + "estimated_input_tokens": 3926, + "estimated_eval_tokens": 8108 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster looks over-grouped: the issues span unrelated models, configs, tokenizer warnings, training/runtime behavior, and one-off typos. None of the soft pairs appear to describe the same underlying bug or change.", + "confidence": 0.96, + "canonical_issue_reason": "Issue 31515 is the most connected hub in the soft-similarity graph, but the cluster is heterogeneous, so it is only a weak representative and not a true duplicate canonical.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 31515 is the closest to a cluster seed because it links to several other items by similarity, but its checkpoint-loading slowdown is still unrelated to the rest.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:31515", + "right": "issue:38617", + "accept": false, + "reason": "Checkpoint loading slowness vs an ImportError in configuration_utils: different failure modes and code paths." + }, + { + "left": "issue:44230", + "right": "issue:44623", + "accept": false, + "reason": "FP8 inference support for Qwen models vs missing files on processor.save_pretrained; not the same bug." + }, + { + "left": "issue:30333", + "right": "issue:31515", + "accept": false, + "reason": "MLflow status reporting on failed training vs from_pretrained checkpoint load speed." + }, + { + "left": "issue:31515", + "right": "issue:36296", + "accept": false, + "reason": "Checkpoint loading performance vs tensor-parallel training bug." + }, + { + "left": "issue:44230", + "right": "issue:45310", + "accept": false, + "reason": "Both mention Qwen3.5, but one is FP8 support and the other is a from_pretrained error; different concrete issues." + }, + { + "left": "issue:31515", + "right": "issue:33453", + "accept": false, + "reason": "Checkpoint loading slowdown vs tokenizer loading regression; not duplicates." + }, + { + "left": "issue:43298", + "right": "issue:44230", + "accept": false, + "reason": "Continuous batching support for audio models vs FP8 Qwen3-VL/Qwen3.5 support." + }, + { + "left": "issue:43717", + "right": "issue:46144", + "accept": false, + "reason": "Mamba init_weights behavior vs RoFormer attention interface usage; unrelated model implementation problems." + }, + { + "left": "issue:42936", + "right": "issue:46018", + "accept": false, + "reason": "Mask2Former ignore_value handling vs DeepSeek-V4 shared expert gating." + }, + { + "left": "issue:43668", + "right": "issue:44031", + "accept": false, + "reason": "ModernBERT config type hint issue vs tokenizer regex warning after upgrade; different artifacts." + }, + { + "left": "issue:42936", + "right": "issue:43240", + "accept": false, + "reason": "Both touch loss-related code, but one is ignore_value handling and the other is kwargs propagation; not the same bug." + }, + { + "left": "issue:43240", + "right": "issue:46144", + "accept": false, + "reason": "Loss kwargs forwarding vs RoFormer attention interface implementation." + }, + { + "left": "issue:42936", + "right": "issue:44031", + "accept": false, + "reason": "Mask2Former loss parameter handling vs tokenizer warning regression." + }, + { + "left": "issue:42936", + "right": "issue:46144", + "accept": false, + "reason": "Different model subsystems and different bugs." + }, + { + "left": "issue:42936", + "right": "issue:43813", + "accept": false, + "reason": "Mask2Former ignore_value handling vs a quantization typo; no underlying overlap." + }, + { + "left": "issue:43240", + "right": "issue:43668", + "accept": false, + "reason": "Loss kwargs not passed vs incorrect type hint; unrelated." + }, + { + "left": "issue:43668", + "right": "issue:43813", + "accept": false, + "reason": "ModernBERT type hint mismatch vs typo in a quantization symbol." + }, + { + "left": "issue:37934", + "right": "issue:43668", + "accept": false, + "reason": "Question about Llama4TextL2Norm being RMSNorm vs a ModernBERT config type-hint issue." + }, + { + "left": "issue:42936", + "right": "issue:43668", + "accept": false, + "reason": "Mask2Former ignore_value bug vs ModernBERT norm_eps annotation issue." + } + ] + }, + "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": 17, + "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": "77810f68ceb91c8ccda0611d3fef63af16ec9cc6c4a8989715764263c21c4d6c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2876, + "estimated_input_tokens": 719, + "estimated_eval_tokens": 1694 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 2876, + "estimated_input_tokens": 719, + "estimated_eval_tokens": 1694 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These three issues are unrelated feature requests/questions in different areas (token truncation, learning-rate scheduling, and Wav2Vec2 word timestamps). They should not be deduplicated.", + "confidence": 0.98, + "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 features and domains: truncation direction vs. word-level timing offsets in Wav2Vec2." + }, + { + "left": "issue:10519", + "right": "issue:11005", + "accept": false, + "reason": "No common underlying bug/change; one is about tokenizer truncation behavior, the other about scheduler functionality." + }, + { + "left": "issue:11005", + "right": "issue:11307", + "accept": false, + "reason": "Unrelated topics: ReduceLROnPlateau-like scheduler behavior versus extracting timestamps for words." + } + ] + }, + "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": 17, + "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": "7c9e70f935bf4a9797a6c6ed144ea0a77edeb22d04c6511badbba524da29b174", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2478, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 2478, + "estimated_input_tokens": 620, + "estimated_eval_tokens": 1496 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These three issues do not look like true duplicates: one is about Tapas tokenization mismatch, one about private-model auth/error messaging, and one about a generic model-load failure. The cluster appears to be soft-similarity only, not the same underlying bug.", + "confidence": 0.82, + "canonical_issue_reason": "Issue #16618 is the broadest and most central of the three, describing a model-loading failure, while the other two are narrower and about different topics.", + "canonical_pr_reason": null, + "best_issue_reason": "#16618 is the best representative issue for this cluster because it is the clearest user-facing loading problem and the most likely anchor for related reports; the others are not close enough to be merged into it as duplicates.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:13244", + "right": "issue:16618", + "accept": false, + "reason": "Tapas tokenization behavior is a different problem domain from failing to load bert-base-uncased; no evidence they describe the same code-path bug." + }, + { + "left": "issue:15980", + "right": "issue:16618", + "accept": false, + "reason": "Private-model download/auth error messaging is distinct from a generic model-load failure for bert-base-uncased; they do not clearly share 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": 4, + "component_count": 17, + "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": "9b5cf9cbed794be0e538a6f10d2c87400a8b27f56725d3b8c675024e26732112", + "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: one for Flash Attention 2 support across more architectures, and one for GGUF support across more architectures. The shared wording is generic, but the underlying changes are different and there is no evidence they describe the same bug or code change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:26350", + "right": "issue:33260", + "accept": false, + "reason": "Different feature areas (Flash Attention 2 vs GGUF) and different implementation targets; similar phrasing about \"more architectures\" is too broad to treat as 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": 5, + "component_count": 17, + "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-27088-6", + "nodes": [ + "issue:27088", + "issue:28936", + "issue:38435", + "issue:43834", + "issue:44365", + "issue:44370" + ], + "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:43834|issue:44370", + "issue:43834|issue:44365", + "issue:44365|issue:44370" + ], + "prepared_review_unit_hash": "d6eeee5d7913169dd58013da80c0f86b6c6c8cd697d89bbb7532a5efa2d1de59", + "component_budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 15, + "serialized_chars": 8793, + "estimated_input_tokens": 2199, + "estimated_eval_tokens": 4654 + }, + "budget": { + "node_count": 6, + "item_count": 6, + "soft_pair_count": 15, + "serialized_chars": 8793, + "estimated_input_tokens": 2199, + "estimated_eval_tokens": 4654 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster mixes three language-specific i18n doc translation issues (Turkish, Spanish, Romanian) with three near-identical generic template issues. The generic placeholder issues are duplicates of each other; the language-specific issues are not duplicates because they target different translations.", + "confidence": 0.96, + "canonical_issue_reason": "issue:43834 is the earliest generic placeholder issue and matches the same template wording as the other two placeholder issues, making it the best duplicate anchor.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:43834 is the best representative of the duplicate template issues because it is the earliest and most canonical-looking copy of the generic i18n translation request.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:27088", + "right": "issue:44370", + "accept": false, + "reason": "Different target language (Turkish vs placeholder); same i18n theme but not the same underlying issue." + }, + { + "left": "issue:27088", + "right": "issue:44365", + "accept": false, + "reason": "Different target language (Turkish vs placeholder); not the same concrete request." + }, + { + "left": "issue:27088", + "right": "issue:43834", + "accept": false, + "reason": "Concrete Turkish translation request versus generic template issue; not duplicates." + }, + { + "left": "issue:27088", + "right": "issue:38435", + "accept": false, + "reason": "Different target languages (Turkish vs Romanian), so these are separate translation requests." + }, + { + "left": "issue:27088", + "right": "issue:28936", + "accept": false, + "reason": "Different target languages (Turkish vs Spanish); related topic but distinct issues." + }, + { + "left": "issue:28936", + "right": "issue:43834", + "accept": false, + "reason": "Concrete Spanish translation request versus generic template issue; not the same underlying issue." + }, + { + "left": "issue:28936", + "right": "issue:44365", + "accept": false, + "reason": "Concrete Spanish translation request versus generic template issue; not duplicates." + }, + { + "left": "issue:28936", + "right": "issue:38435", + "accept": false, + "reason": "Different target languages (Spanish vs Romanian), so they should stay separate." + }, + { + "left": "issue:28936", + "right": "issue:44370", + "accept": false, + "reason": "Concrete Spanish translation request versus generic template issue; not the same request." + }, + { + "left": "issue:38435", + "right": "issue:44370", + "accept": false, + "reason": "Concrete Romanian translation request versus generic template issue; not duplicates." + }, + { + "left": "issue:38435", + "right": "issue:44365", + "accept": false, + "reason": "Concrete Romanian translation request versus generic template issue; not the same underlying issue." + }, + { + "left": "issue:38435", + "right": "issue:43834", + "accept": false, + "reason": "Concrete Romanian translation request versus generic template issue; not duplicates." + }, + { + "left": "issue:43834", + "right": "issue:44370", + "accept": true, + "reason": "Both are the same generic placeholder i18n translation issue with identical wording and no language-specific content." + }, + { + "left": "issue:43834", + "right": "issue:44365", + "accept": true, + "reason": "Both are the same generic placeholder i18n translation issue; no substantive difference is visible." + }, + { + "left": "issue:44365", + "right": "issue:44370", + "accept": true, + "reason": "Both are identical generic placeholder issues for translating docs; effectively duplicates." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is grounded in the packet: the Turkish, Spanish, and Romanian issues are distinct by title, and the three placeholder issues are the closest match cluster with 43834 as the earliest. The soft-edge verdicts are conservative overall." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 6, + "component_count": 17, + "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-36817-16", + "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" + ], + "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: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:44121|issue:45322", + "issue:43837|issue:45027", + "issue:37015|issue:45027", + "issue:43837|issue:45177", + "issue:45322|issue:46133" + ], + "prepared_review_unit_hash": "1f542d67541bf73d6ab8ceae795d1f53a11b8d5fa6881cad85e1d6806318bebd", + "component_budget": { + "node_count": 16, + "item_count": 16, + "soft_pair_count": 36, + "serialized_chars": 21660, + "estimated_input_tokens": 5415, + "estimated_eval_tokens": 11086 + }, + "budget": { + "node_count": 16, + "item_count": 16, + "soft_pair_count": 36, + "serialized_chars": 21660, + "estimated_input_tokens": 5415, + "estimated_eval_tokens": 11086 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all distinct model-request issues that share only a broad \"add support\" theme; I do not see true duplicates or a single underlying bug/change cluster.", + "confidence": 0.98, + "canonical_issue_reason": "No single canonical issue: each item requests a different model family, architecture, or modality, so the similarity is only topical.", + "canonical_pr_reason": null, + "best_issue_reason": "issue:46133 is the most detailed and recent request, so it is the best representative of the theme, but it still is not a duplicate hub.", + "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\" pattern matches." + }, + { + "left": "issue:36817", + "right": "issue:43671", + "accept": false, + "reason": "EuroBert config support and Qwen3-TTS are different model families and modalities, not the same change." + }, + { + "left": "issue:36817", + "right": "issue:36879", + "accept": false, + "reason": "EuroBert and RF-DETR are separate model additions with no shared code-path bug." + }, + { + "left": "issue:36879", + "right": "issue:41211", + "accept": false, + "reason": "RF-DETR and DEIMv2 are different model requests, not one duplicated implementation task." + }, + { + "left": "issue:36879", + "right": "issue:43909", + "accept": false, + "reason": "RF-DETR and LFM2.5 Audio target different model domains and would not be merged as one PR." + }, + { + "left": "issue:36879", + "right": "issue:44121", + "accept": false, + "reason": "RF-DETR and the weight-sparse transformer request are unrelated architectures and use cases." + }, + { + "left": "issue:36879", + "right": "issue:43837", + "accept": false, + "reason": "RF-DETR and Qwen3-ASR are separate model support requests, not the same underlying change." + }, + { + "left": "issue:36879", + "right": "issue:43671", + "accept": false, + "reason": "RF-DETR (vision detection) and Qwen3-TTS (speech) are clearly different requests." + }, + { + "left": "issue:37015", + "right": "issue:43837", + "accept": false, + "reason": "NeoBERT and Qwen3-ASR are unrelated model additions with different code paths." + }, + { + "left": "issue:37015", + "right": "issue:44121", + "accept": false, + "reason": "NeoBERT and the sparse transformer request are different model families and concerns." + }, + { + "left": "issue:37015", + "right": "issue:43909", + "accept": false, + "reason": "NeoBERT and LFM2.5 Audio are distinct model support requests, not duplicates." + }, + { + "left": "issue:36879", + "right": "issue:37015", + "accept": false, + "reason": "RF-DETR and NeoBERT are separate model additions with no shared concrete bug." + }, + { + "left": "issue:37015", + "right": "issue:42503", + "accept": false, + "reason": "NeoBERT and ModernVBERT are different model families; the overlap is only that both are BERT-like." + }, + { + "left": "issue:41115", + "right": "issue:43837", + "accept": false, + "reason": "MiniCPM3 and Qwen3-ASR are different model requests and not the same fix." + }, + { + "left": "issue:41115", + "right": "issue:44121", + "accept": false, + "reason": "MiniCPM3 support and the sparse transformer request are unrelated changes." + }, + { + "left": "issue:41115", + "right": "issue:42503", + "accept": false, + "reason": "MiniCPM3 and ModernVBERT are distinct model-addition issues, not duplicates." + }, + { + "left": "issue:41115", + "right": "issue:45027", + "accept": false, + "reason": "MiniCPM3 and Voxtral-4B-TTS are different model families and modalities." + }, + { + "left": "issue:41211", + "right": "issue:43671", + "accept": false, + "reason": "DEIMv2 and Qwen3-TTS are unrelated model requests, sharing only a general support theme." + }, + { + "left": "issue:42503", + "right": "issue:43837", + "accept": false, + "reason": "ModernVBERT and Qwen3-ASR are different model support requests." + }, + { + "left": "issue:42503", + "right": "issue:43671", + "accept": false, + "reason": "ModernVBERT and Qwen3-TTS are distinct model requests with different modalities." + }, + { + "left": "issue:42503", + "right": "issue:42738", + "accept": false, + "reason": "ModernVBERT models and BERT-like models with RoPE are related in theme but not the same concrete request." + }, + { + "left": "issue:42738", + "right": "issue:45027", + "accept": false, + "reason": "BERT-like models with RoPE and Voxtral TTS are unrelated model additions." + }, + { + "left": "issue:43671", + "right": "issue:43837", + "accept": false, + "reason": "Qwen3-TTS and Qwen3-ASR are sibling requests but target different speech tasks and should not be merged." + }, + { + "left": "issue:43671", + "right": "issue:43909", + "accept": false, + "reason": "Qwen3-TTS and LFM2.5 Audio are different audio model requests, not one duplicated change." + }, + { + "left": "issue:43671", + "right": "issue:44121", + "accept": false, + "reason": "Qwen3-TTS and the sparse transformer request address different model types and code paths." + }, + { + "left": "issue:43671", + "right": "issue:45027", + "accept": false, + "reason": "Qwen3-TTS and Voxtral-4B-TTS are separate TTS model support requests, not the same artifact." + }, + { + "left": "issue:43671", + "right": "issue:45177", + "accept": false, + "reason": "Qwen3-TTS and DeepSeek-OCR2 are unrelated model families and modalities." + }, + { + "left": "issue:43837", + "right": "issue:43909", + "accept": false, + "reason": "Qwen3-ASR and LFM2.5 Audio are different audio-model requests, not duplicates." + }, + { + "left": "issue:43837", + "right": "issue:44121", + "accept": false, + "reason": "Qwen3-ASR and the sparse transformer request are unrelated changes." + }, + { + "left": "issue:43837", + "right": "issue:45027", + "accept": false, + "reason": "Qwen3-ASR and Voxtral-4B-TTS are different speech tasks and model families." + }, + { + "left": "issue:43837", + "right": "issue:45177", + "accept": false, + "reason": "Qwen3-ASR and DeepSeek-OCR2 are distinct model support requests." + }, + { + "left": "issue:43837", + "right": "issue:45322", + "accept": false, + "reason": "Qwen3-ASR and EUPE are separate model requests with no shared concrete implementation target." + }, + { + "left": "issue:43909", + "right": "issue:44205", + "accept": false, + "reason": "LFM2.5 Audio and SAM3-LiteText are different modality/model requests." + }, + { + "left": "issue:44121", + "right": "issue:45322", + "accept": false, + "reason": "The sparse transformer request and EUPE are unrelated model additions, not one code change." + }, + { + "left": "issue:45322", + "right": "issue:46133", + "accept": false, + "reason": "EUPE and TIPSv2 are distinct model requests from different authors and use cases." + } + ] + }, + "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": 17, + "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": "010669a4ae6d9023b2f4a7a6a74aa588703e224df6a09cb9cf0c44e8f740e483", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "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 issues are not duplicates: #41084 is about Set Block Decoding, while #43037 is a request for DeepSeek v3.2 support. They describe different features/problems with no shared targets or code paths.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue for a duplicate cluster; the issues are unrelated and cover different user needs.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:41084", + "right": "issue:43037", + "accept": false, + "reason": "Different topics and likely different code paths: block decoding behavior vs model compatibility/support. The weak textual similarity is not enough to indicate 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": 17, + "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": "12e6cf905b6acf7c69e02097a412edd9acd245f67f3d2b6d03b2323e4de88cc0", + "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": "These two closed issues are related only at a broad Trainer/customization level, but they describe different problems and fixes: one is about `remove_unused_column` behavior, the other about FLOPS estimation for custom trainers. They should not be treated as duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "issue:43598 is the more concrete and self-contained Trainer customization request, but it does not cover the FLOPS-estimation problem in issue:43600.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43598", + "right": "issue:43600", + "accept": false, + "reason": "Different underlying bugs: `remove_unused_column` customizability in Trainer versus accounting for custom trainers in FLOPS estimation. Same general subsystem, but not the same change 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": 9, + "component_count": 17, + "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": "9549391a400f2e89dfea51e0e9ba4ff1f33b00543dcfaa4aae5efa1af718f3cd", + "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 closed enhancement requests for different Qwen variants and different model heads; they do not look like duplicate reports of the same underlying bug/change.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical duplicate: issue 43684 is about registering Qwen3-Omni with AutoModel/AutoModelForConditionalGeneration, while issue 44405 is about adding AutoModelForSequenceClassification support for Qwen3.5 (Qwen3_5Config).", + "canonical_pr_reason": null, + "best_issue_reason": "If a representative issue is needed, 43684 is the broader library-registration request, but it still does not cover the distinct sequence-classification support asked for in 44405.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43684", + "right": "issue:44405", + "accept": false, + "reason": "Different model families and different task heads; this is a soft similarity only, not the same underlying bug/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": 17, + "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": "a440aaab826acf4ff33297c9c812c136713014c7245bbea0d81dce2219bbfb3d", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 4264, + "estimated_input_tokens": 1066, + "estimated_eval_tokens": 2388 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 4264, + "estimated_input_tokens": 1066, + "estimated_eval_tokens": 2388 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Three issues titled \"huggingface \" look like the same duplicate report; the \"Fett\" issue appears unrelated. I\u2019d keep the earliest huggingface issue as canonical.", + "confidence": 0.72, + "canonical_issue_reason": "Issue 43845 is the earliest of the near-identical \"huggingface \" reports, so it is the best canonical representative among the likely duplicates.", + "canonical_pr_reason": null, + "best_issue_reason": "Issue 43845 is the best cluster anchor because it matches the repeated huggingface title pattern and is the earliest of that group.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:43835", + "right": "issue:43845", + "accept": false, + "reason": "Different titles and no supporting description or targets; no evidence they are the same underlying issue." + }, + { + "left": "issue:43835", + "right": "issue:43846", + "accept": false, + "reason": "Different titles and no supporting description or targets; too little evidence to treat as duplicates." + }, + { + "left": "issue:43835", + "right": "issue:43859", + "accept": false, + "reason": "Different titles and no supporting description or targets; not enough to connect them as the same issue." + }, + { + "left": "issue:43845", + "right": "issue:43846", + "accept": true, + "reason": "Exact same title pattern and nearly identical metadata, with no sign of a different underlying problem." + }, + { + "left": "issue:43845", + "right": "issue:43859", + "accept": true, + "reason": "Same title pattern and very similar duplicate-looking reports; no evidence of a distinct issue." + }, + { + "left": "issue:43846", + "right": "issue:43859", + "accept": true, + "reason": "Same title pattern and very similar duplicate-looking reports; no evidence of a distinct issue." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The anchor choice is grounded: 43845 is the earliest of the three near-identical \"huggingface \" issues. The rejection of 43835 as unrelated is conservative and supported by the title mismatch. The soft-edge accepts are also reasonably cautious given the matching titles and soft-similarity evidence, so I don't see an overstatement that would require rejection." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 11, + "component_count": 17, + "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": "bc490bef964e203c83282dcb8bfae6ac9d8cf26112d00e39c2dd0cd6335186a5", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 9, + "serialized_chars": 5788, + "estimated_input_tokens": 1447, + "estimated_eval_tokens": 3150 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 9, + "serialized_chars": 5788, + "estimated_input_tokens": 1447, + "estimated_eval_tokens": 3150 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is dominated by low-signal/spam issues with unrelated titles; there is no clear shared bug or change to unify.", + "confidence": 0.92, + "canonical_issue_reason": "Issue #44418 is the only one with a somewhat descriptive, non-spam title, so it is the least ambiguous representative of the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#44418 is the best issue representative because it is the most readable and specific title, even though it still looks generic and low-value.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:44371", + "right": "issue:44572", + "accept": false, + "reason": "Both are titled '', but there is no evidence they describe the same underlying bug or request beyond identical spam labeling." + }, + { + "left": "issue:44371", + "right": "issue:44573", + "accept": false, + "reason": "Identical spam titles are not enough to treat them as the same issue; no shared details or target are provided." + }, + { + "left": "issue:44371", + "right": "issue:44418", + "accept": false, + "reason": "One is spam and the other is a generic documentation suggestion; they do not look like the same issue." + }, + { + "left": "issue:44371", + "right": "issue:44937", + "accept": false, + "reason": "'Check out \"Google LLC\"' is unrelated to the spam placeholder title and gives no basis for duplication." + }, + { + "left": "issue:44418", + "right": "issue:44572", + "accept": false, + "reason": "A documentation enhancement request is not the same underlying item as a spam placeholder issue." + }, + { + "left": "issue:44418", + "right": "issue:44573", + "accept": false, + "reason": "Generic documentation feedback and spam placeholder content do not indicate the same bug or change." + }, + { + "left": "issue:44572", + "right": "issue:44573", + "accept": false, + "reason": "Although both are spam-titled, there is no concrete evidence they refer to the same report or change." + }, + { + "left": "issue:44572", + "right": "issue:44937", + "accept": false, + "reason": "Spam placeholder and 'Check out \"Google LLC\"' are unrelated; no shared code-path or request is visible." + }, + { + "left": "issue:44573", + "right": "issue:44937", + "accept": false, + "reason": "The titles do not match in subject matter, and there is no supporting detail to justify a duplicate merge." + } + ] + }, + "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": 17, + "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": "a10feab0ec3d1a67b9ba5c56a695376c0afd547f73d2c65a399523973c3fdd3f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1645, + "estimated_input_tokens": 412, + "estimated_eval_tokens": 1080 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1645, + "estimated_input_tokens": 412, + "estimated_eval_tokens": 1080 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two closed issues are very likely duplicates or closely related: they have the exact same title and moderate textual similarity, but the evidence stops short of proving they are exact duplicates. #45145 remains the best canonical issue because it has the inbound reference.", + "confidence": 0.86, + "canonical_issue_reason": "#45145 is the better canonical issue because it has the same title as #45151 and already has an inbound reference, so it is the more natural anchor for the cluster.", + "canonical_pr_reason": null, + "best_issue_reason": "#45145 is the best issue overall for the cluster because it is the most referenced instance of the same titled report and is a reasonable canonical representative.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45145", + "right": "issue:45151", + "accept": true, + "reason": "These look like a likely duplicate/closely related issue pair: the titles match exactly and the body similarity is moderate, but the available evidence does not conclusively establish perfect duplication." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The packet supports that the issues have the same title and a soft-similarity signal, but it does not establish that they are exact duplicates or that the text is highly overlapping beyond the similarity metric. The canonical choice based on the inbound reference is reasonable, but the summary and soft-edge language overstate the evidence. Please downgrade the verdict to a more conservative formulation (e.g., likely duplicate / closely related)." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 13, + "component_count": 17, + "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": 14, + "component_count": 17, + "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": "c447b4349d721d84f02dec5299d3b357e15038f781560b4e91162f632061bfce", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1669, + "estimated_input_tokens": 418, + "estimated_eval_tokens": 1092 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are two separate 4-bit inference regressions: one in Gemma4 audio-module dtype handling (torch.finfo on uint8 weights), and one in BitsAndBytesConfig skip-module defaults affecting lm_head exclusion. They should not be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": "No canonical duplicate: 45672 is a Gemma4 audio-module uint8/torch.finfo failure, while 45674 is a BitsAndBytesConfig skip_modules/lm_head assertion regression.", + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue fully represents the other; 45674 is the broader configuration regression, but it should not absorb 45672.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45672", + "right": "issue:45674", + "accept": false, + "reason": "Different bugs and code paths: Gemma4 audio-module finfo/uint8 handling vs BitsAndBytesConfig clearing the default lm_head exclusion. Shared 4-bit inference context is too broad to treat as one fix." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + }, + { + "label": "issue", + "component_index": 15, + "component_count": 17, + "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": "50f64a7c4a18e923f16dc354cafee6fb7e1946f5be38162119d9226d64fee02d", + "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 issues are unrelated closed items with only name/date-like titles; there is no evidence they describe the same bug or request.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45762", + "right": "issue:45763", + "accept": false, + "reason": "Similar surface structure in the titles, but they refer to different people and dates and contain no shared bug/report context; 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": 16, + "component_count": 17, + "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": "66ff4ecda68211c661ff54be8e5e511735db1f9db61c8ca9885393c707a1e022", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "estimated_input_tokens": 370, + "estimated_eval_tokens": 996 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 1480, + "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 issues are both empty, closed, and only share a weak name/date pattern; there is no evidence they describe the same bug or request.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": "Neither issue is a good canonical representative: both have no body, no references, and look like unrelated low-signal entries rather than a real duplicate cluster.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45764", + "right": "issue:45765", + "accept": false, + "reason": "Only soft text similarity is present; the titles are different names with different dates and there is no shared problem statement or linkage indicating 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": 17, + "component_count": 17, + "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": "1b1c0988e3e8bb2e6f2cb1b792d5f8eef001797f065277a9940f230e10b2f459", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 8, + "serialized_chars": 5728, + "estimated_input_tokens": 1432, + "estimated_eval_tokens": 3120 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 8, + "serialized_chars": 5728, + "estimated_input_tokens": 1432, + "estimated_eval_tokens": 3120 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The cluster is not a single duplicate set: it contains two exact duplicate issue pairs (45870/45871 and 45872/45873) plus one separate dataset-related issue (45869). There is no one global canonical issue for all five items.", + "confidence": 0.96, + "canonical_issue_reason": "No single canonical issue for the whole cluster; it splits into two unrelated exact-duplicate pairs, with 45870/45871 and 45872/45873 each representing separate underlying issues.", + "canonical_pr_reason": null, + "best_issue_reason": "No single best issue across the full cluster; if forced to pick within the duplicate pairs, the earliest and slightly more active copy in 45870/45871 is the strongest representative for that pair.", + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "issue:45869", + "right": "issue:45870", + "accept": false, + "reason": "Different artifact: dataset listing vs example issue; only broad financial theme overlaps." + }, + { + "left": "issue:45869", + "right": "issue:45871", + "accept": false, + "reason": "Different artifact: dataset listing vs example issue; only broad financial theme overlaps." + }, + { + "left": "issue:45870", + "right": "issue:45871", + "accept": true, + "reason": "Exact duplicate: same title and matching body length/topic." + }, + { + "left": "issue:45870", + "right": "issue:45872", + "accept": false, + "reason": "Related finance/DataForge wording, but different underlying request: example prediction vs scraping-service topic." + }, + { + "left": "issue:45870", + "right": "issue:45873", + "accept": false, + "reason": "Related finance/DataForge wording, but different underlying request: example prediction vs scraping-service topic." + }, + { + "left": "issue:45871", + "right": "issue:45872", + "accept": false, + "reason": "Related finance/DataForge wording, but different underlying request: example prediction vs scraping-service topic." + }, + { + "left": "issue:45871", + "right": "issue:45873", + "accept": false, + "reason": "Related finance/DataForge wording, but different underlying request: example prediction vs scraping-service topic." + }, + { + "left": "issue:45872", + "right": "issue:45873", + "accept": true, + "reason": "Exact duplicate: same title and matching body length/topic." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "Grounded and conservative overall. The summary correctly identifies two exact-duplicate pairs (45870/45871 and 45872/45873) and treats 45869 as separate. The soft-edge false verdicts are appropriately cautious, and there is no evidence of overclaiming beyond what the packet supports." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 1, + "component_count": 27, + "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-39895-13", + "nodes": [ + "pull_request:39895", + "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" + ], + "soft_pairs": [ + "pull_request:39895|pull_request:43424", + "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:44827", + "pull_request:43995|pull_request:45213", + "pull_request:44827|pull_request:45170", + "pull_request:44827|pull_request:46048", + "pull_request:44827|pull_request:45655", + "pull_request:44827|pull_request:45213", + "pull_request:43823|pull_request:45213", + "pull_request:43251|pull_request:43254" + ], + "prepared_review_unit_hash": "786b5ddee8619cd2c275fa2af5ca804c3cf84c3d262f47a995ca76e4f31b8c90", + "component_budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 18, + "serialized_chars": 34773, + "estimated_input_tokens": 8694, + "estimated_eval_tokens": 17644 + }, + "budget": { + "node_count": 13, + "item_count": 13, + "soft_pair_count": 18, + "serialized_chars": 34773, + "estimated_input_tokens": 8694, + "estimated_eval_tokens": 17644 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly heterogeneous: it mixes unrelated model additions, docs/tests, and separate fixes. The only true duplicate pair is the two fixed_cross_entropy PRs, which implement the same loss-kwargs passthrough change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 43251 is the best canonical representative because it directly targets issue 43240 and contains the more explicit, complete implementation of the fixed_cross_entropy kwargs passthrough; PR 43254 is a near-identical alternative for the same fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 43251 is the strongest overall representative of the only duplicate change in the set; the rest of the cluster is too diverse to share a single canonical PR.", + "soft_edge_verdicts": [ + { + "left": "pull_request:39895", + "right": "pull_request:43424", + "accept": false, + "reason": "Unrelated features: VideoPrism model addition vs an ExecuTorch dynamic-shape test for decoder-only export." + }, + { + "left": "pull_request:41855", + "right": "pull_request:43823", + "accept": false, + "reason": "Different tokenizer utility fix vs adding a new MobileLLM model; no shared underlying bug or change." + }, + { + "left": "pull_request:41855", + "right": "pull_request:43424", + "accept": false, + "reason": "Mistral tokenizer missing method fix is unrelated to ExecuTorch dynamic-shape export tests." + }, + { + "left": "pull_request:42668", + "right": "pull_request:43823", + "accept": false, + "reason": "Processor-pretrained robustness work is unrelated to introducing MobileLLM." + }, + { + "left": "pull_request:43251", + "right": "pull_request:43823", + "accept": false, + "reason": "Loss-function kwargs passthrough fix and a new model addition are unrelated." + }, + { + "left": "pull_request:43251", + "right": "pull_request:44827", + "accept": false, + "reason": "Different code paths: loss utility kwargs passthrough vs Mistral4 test/model changes." + }, + { + "left": "pull_request:43424", + "right": "pull_request:44827", + "accept": false, + "reason": "ExecuTorch export test coverage is unrelated to Mistral4 fixes/tests." + }, + { + "left": "pull_request:43424", + "right": "pull_request:43823", + "accept": false, + "reason": "Dynamic-shape export tests do not overlap with adding MobileLLM." + }, + { + "left": "pull_request:43823", + "right": "pull_request:45655", + "accept": false, + "reason": "New MobileLLM model work is unrelated to config-class resolution ordering." + }, + { + "left": "pull_request:43823", + "right": "pull_request:43995", + "accept": false, + "reason": "Adding MobileLLM is unrelated to Falcon output-collection refactoring." + }, + { + "left": "pull_request:43995", + "right": "pull_request:44827", + "accept": false, + "reason": "Falcon output-interface refactor and Mistral4 test fixes are different model-specific changes." + }, + { + "left": "pull_request:43995", + "right": "pull_request:45213", + "accept": false, + "reason": "Falcon refactor is unrelated to the model-creation skill/meta PR." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45170", + "accept": false, + "reason": "Mistral4 test/model work is unrelated to the layrnorm->layernorm renaming fix." + }, + { + "left": "pull_request:44827", + "right": "pull_request:46048", + "accept": false, + "reason": "Mistral4 fixes are unrelated to adding a TDT loss kernel." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45655", + "accept": false, + "reason": "Mistral4 test/model changes do not match the config resolution-order fix." + }, + { + "left": "pull_request:44827", + "right": "pull_request:45213", + "accept": false, + "reason": "Mistral4 work is unrelated to the model-creation skill/meta PR." + }, + { + "left": "pull_request:43823", + "right": "pull_request:45213", + "accept": false, + "reason": "Adding MobileLLM is unrelated to the model-creation skill/meta PR." + }, + { + "left": "pull_request:43251", + "right": "pull_request:43254", + "accept": true, + "reason": "Same underlying fix in src/transformers/loss/loss_utils.py: both add supported kwargs/kwargs passthrough to fixed_cross_entropy for issue 43240, and they could plausibly be merged into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet: the cluster is heterogeneous, and the only clearly duplicate/mergeable pair is PR 43251 and PR 43254, which both modify `src/transformers/loss/loss_utils.py` for issue 43240. The other soft-edge rejections are conservative and consistent with the listed diffs." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 2, + "component_count": 27, + "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": "8b7af0e0c13fdd8e8fcfe3dec4e43d9918f222c7a6471aab99e172bcaaa1022e", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7225, + "estimated_input_tokens": 1807, + "estimated_eval_tokens": 3870 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 7225, + "estimated_input_tokens": 1807, + "estimated_eval_tokens": 3870 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are related VibeVoice PRs but not duplicates: one adds the base VibeVoice model, while the other adds a separate realtime variant plus an acoustic tokenizer and generation/runtime changes.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 40546 is the cleaner canonical representative because it introduces the initial VibeVoice implementation and documentation; PR 42781 is a later, distinct realtime extension with additional tokenizer/runtime components.", + "best_issue_reason": null, + "best_pr_reason": "PR 40546 is the best standalone representative of the underlying feature family since it is the base model integration, whereas PR 42781 targets a different concrete capability (realtime VibeVoice) and broader follow-up codepaths.", + "soft_edge_verdicts": [ + { + "left": "pull_request:40546", + "right": "pull_request:42781", + "accept": false, + "reason": "Do not merge: 40546 implements VibeVoice itself, while 42781 adds VibeVoice Realtime and an acoustic tokenizer with extra generation/modeling changes. They overlap in model-family files, but they are different concrete changes and not one mergeable 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": 3, + "component_count": 27, + "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": "41b97244da0b381e1eab4c8009aef9e893a77a8f8a374ca2d864aace2750574a", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "estimated_input_tokens": 1169, + "estimated_eval_tokens": 2594 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4676, + "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 PRs are unrelated feature additions in different model families: TimesFM covariate forecasting vs. DINOv3 image classification support. They do not describe the same underlying change or bug.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "pull_request:41224 is the more focused, better-reviewed feature PR and is the more plausible representative if one PR must be chosen; it is still not a duplicate of pull_request:40755.", + "best_issue_reason": null, + "best_pr_reason": "pull_request:41224 is the stronger standalone candidate due to its narrower scope, explicit model support, and much higher review activity.", + "soft_edge_verdicts": [ + { + "left": "pull_request:40755", + "right": "pull_request:41224", + "accept": false, + "reason": "Different subsystems and different changes: TimesFM forecasting with covariates vs. DINOv3 image classification support. They are not the same bug or feature and would not 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": 4, + "component_count": 27, + "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": 5, + "component_count": 27, + "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-41797-3", + "nodes": [ + "pull_request:41797", + "pull_request:45186", + "pull_request:45630" + ], + "soft_pairs": [ + "pull_request:41797|pull_request:45186", + "pull_request:45186|pull_request:45630" + ], + "prepared_review_unit_hash": "2adad4a8cc33ba2974c99be12ad07643301c1928de51cfffd8e42c54420faeef", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10436, + "estimated_input_tokens": 2609, + "estimated_eval_tokens": 5474 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 10436, + "estimated_input_tokens": 2609, + "estimated_eval_tokens": 5474 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate model-addition pull requests (DeepSeek OCR, Isaac, Kimi2-6). They share the usual Transformers boilerplate for docs, auto mappings, and model registration, but they target different models and codepaths, so they are not duplicates.", + "confidence": 0.95, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:41797", + "right": "pull_request:45186", + "accept": false, + "reason": "Different models and implementations: DeepSeek OCR vs Isaac. Shared files are generic registration/docs scaffolding, not the same bug or change." + }, + { + "left": "pull_request:45186", + "right": "pull_request:45630", + "accept": false, + "reason": "Different model families and separate model-specific modules/tests. Similarity is only from common model-onboarding boilerplate, 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": 6, + "component_count": 27, + "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": "978121baa7120f3898d4868393c63b063eff227c5353178f1df23a4c9d4ca2aa", + "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 separate maintenance PRs updating GitHub Actions dependencies: one broad workflow upgrade for Node 24 compatibility, and one narrower Docker build action version bump. They are related in theme but not the same underlying change.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 42975 is the better canonical PR because it has the clearer, more specific goal (Node 24 compatibility) and covers the broader workflow-action compatibility sweep across many files.", + "best_issue_reason": null, + "best_pr_reason": "PR 42975 is the strongest representative of the cluster since it is the more general and explicitly motivated Actions compatibility upgrade.", + "soft_edge_verdicts": [ + { + "left": "pull_request:42975", + "right": "pull_request:42976", + "accept": false, + "reason": "Both are workflow dependency upgrades, but they target different action families and different concrete changes: 42975 updates core GitHub Actions like checkout/cache/upload-artifact for Node 24 compatibility, while 42976 bumps docker/build-push-action. They are related maintenance work, 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": 7, + "component_count": 27, + "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-42978-5", + "nodes": [ + "pull_request:42978", + "pull_request:43448", + "pull_request:43451", + "pull_request:45490", + "pull_request:46162" + ], + "soft_pairs": [ + "pull_request:42978|pull_request:43448", + "pull_request:42978|pull_request:43451", + "pull_request:42978|pull_request:45490", + "pull_request:43448|pull_request:43451", + "pull_request:43448|pull_request:45490", + "pull_request:43451|pull_request:45490", + "pull_request:45490|pull_request:46162" + ], + "prepared_review_unit_hash": "680fd8685533afea8e32412f5a286482e617b7fd87af8ac7d755018f0e59e04c", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 7, + "serialized_chars": 16554, + "estimated_input_tokens": 4139, + "estimated_eval_tokens": 8534 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 7, + "serialized_chars": 16554, + "estimated_input_tokens": 4139, + "estimated_eval_tokens": 8534 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are not duplicates: they add different model families (ViT NEPA, Molmo, Molmo2, CTSM) or make an unrelated test-only XPU annotation change. The shared docs/auto-registry files are just common integration boilerplate, not evidence of the same underlying change.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": null, + "best_issue_reason": null, + "best_pr_reason": null, + "soft_edge_verdicts": [ + { + "left": "pull_request:42978", + "right": "pull_request:43448", + "accept": false, + "reason": "Different model additions: ViT NEPA vs Molmo. Shared docs/auto files are generic model-registration boilerplate, not the same code-path fix." + }, + { + "left": "pull_request:42978", + "right": "pull_request:43451", + "accept": false, + "reason": "Different model additions: ViT NEPA vs Molmo2. Similar filenames reflect common transformers integration work, but the actual model code and purpose are unrelated." + }, + { + "left": "pull_request:42978", + "right": "pull_request:45490", + "accept": false, + "reason": "ViT NEPA addition is unrelated to CTSM addition. Both touch auto/docs, but they register different architectures and are not the same change." + }, + { + "left": "pull_request:43448", + "right": "pull_request:43451", + "accept": false, + "reason": "Molmo and Molmo2 are distinct model families with separate configs, processors, and tests. Similar naming does not make them a duplicate PR." + }, + { + "left": "pull_request:43448", + "right": "pull_request:45490", + "accept": false, + "reason": "Molmo vs CTSM are different model integrations; shared transformers registry files are insufficient to treat them as one underlying change." + }, + { + "left": "pull_request:43451", + "right": "pull_request:45490", + "accept": false, + "reason": "Molmo2 and CTSM are separate model additions with different implementation files and test suites, so they should not be merged as duplicates." + }, + { + "left": "pull_request:45490", + "right": "pull_request:46162", + "accept": false, + "reason": "CTSM model integration is unrelated to adding XPU Expectations in existing Florence2/InstructBLIP/LFM2-VL tests. The latter is test maintenance only, not the same bug or feature." + } + ] + }, + "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": 27, + "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-43291-4", + "nodes": [ + "pull_request:43291", + "pull_request:43665", + "pull_request:44815", + "pull_request:46102" + ], + "soft_pairs": [ + "pull_request:43291|pull_request:43665", + "pull_request:43291|pull_request:44815", + "pull_request:43665|pull_request:46102", + "pull_request:43665|pull_request:44815" + ], + "prepared_review_unit_hash": "564a6c9a63d36724b58d25a7697445e67120195f6e4914a59b75c254947c580d", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9387, + "estimated_input_tokens": 2347, + "estimated_eval_tokens": 4950 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 4, + "serialized_chars": 9387, + "estimated_input_tokens": 2347, + "estimated_eval_tokens": 4950 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These pull requests are not duplicates of one another; they span different subsystems and different bug classes. The only flagged soft match is too broad to merge, so it should be rejected.", + "confidence": 0.91, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44815 is the most concrete code fix in the set: it changes model-loading and FP8 quantization code paths, with a clear implementation-level bugfix rather than test-only or placeholder changes.", + "best_issue_reason": null, + "best_pr_reason": "PR 44815 is the best representative because it has the clearest underlying defect and the most substantive fix surface, making it more suitable as the canonical PR than the others.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43291", + "right": "pull_request:43665", + "accept": false, + "reason": "Whisper tokenization/decode behavior and CLIP/ViT test edits are unrelated; they do not reflect the same underlying bug or change." + }, + { + "left": "pull_request:43291", + "right": "pull_request:44815", + "accept": false, + "reason": "Whisper decoding changes and dequantization/loading fixes are different code paths and different problems." + }, + { + "left": "pull_request:43665", + "right": "pull_request:46102", + "accept": false, + "reason": "Test-only edits in CLIP/ViT are not the same as FSDP tied-weights logic changes; no shared concrete bug." + }, + { + "left": "pull_request:43665", + "right": "pull_request:44815", + "accept": false, + "reason": "The apparent similarity is only broad test-related noise; 43665 is test scaffolding while 44815 is a real quantization/loading fix, so they should not be merged." + } + ] + }, + "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": 27, + "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-43488-5", + "nodes": [ + "pull_request:43488", + "pull_request:43532", + "pull_request:45932", + "pull_request:46100", + "pull_request:46114" + ], + "soft_pairs": [ + "pull_request:43488|pull_request:46114", + "pull_request:43488|pull_request:43532", + "pull_request:43532|pull_request:46114", + "pull_request:45932|pull_request:46100", + "pull_request:46100|pull_request:46114" + ], + "prepared_review_unit_hash": "3710a1e9a8c2401f72bef8a8cbc0e33858178cd7bd72b437f0a0f6840de193e6", + "component_budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 11343, + "estimated_input_tokens": 2836, + "estimated_eval_tokens": 5928 + }, + "budget": { + "node_count": 5, + "item_count": 5, + "soft_pair_count": 5, + "serialized_chars": 11343, + "estimated_input_tokens": 2836, + "estimated_eval_tokens": 5928 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Mostly unrelated PRs in a mixed cluster; the only clear duplicate pair is the two identical ViT test-migration PRs. The other pairs share a filename or broad area but are not the same underlying change.", + "confidence": 0.85, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46100 and 46114 are effectively the same ViT test-only change; 46100 is the cleaner representative with the more generic title.", + "best_issue_reason": null, + "best_pr_reason": "46100 is the best representative of the only true duplicate pair because its diff matches 46114 and its title is slightly clearer/less fork-specific.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43488", + "right": "pull_request:46114", + "accept": false, + "reason": "Both touch the ViT test file, but one is a setup/version-check PR and the other is a forked test-migration PR; different underlying changes." + }, + { + "left": "pull_request:43488", + "right": "pull_request:43532", + "accept": false, + "reason": "Shared ViT test filename is incidental; the diffs target unrelated CI/workflow and repo-bot behavior changes." + }, + { + "left": "pull_request:43532", + "right": "pull_request:46114", + "accept": false, + "reason": "Same test file, but the PRs address different purposes and code paths; not the same concrete fix/change." + }, + { + "left": "pull_request:45932", + "right": "pull_request:46100", + "accept": false, + "reason": "They are not the same change: 45932 is a broad grafana/instrumentation/model update, while 46100 is only a ViT test migration." + }, + { + "left": "pull_request:46100", + "right": "pull_request:46114", + "accept": true, + "reason": "These are near-identical PRs with the same ViT test-file edits and effectively the same change." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The summary is well grounded in the packet. The only clear duplicate is 46100/46114, which have identical diff previews and filenames, and the other pairs are conservatively rejected because they only overlap superficially by filename or broad area while the actual changes differ. No overstatement of evidence is apparent." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 10, + "component_count": 27, + "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": "2943e528c89e194bede242f56aff7f2b6d46da6574b9dc110e2d26053c1ead52", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6083, + "estimated_input_tokens": 1521, + "estimated_eval_tokens": 3298 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6083, + "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 but distinct feature PRs: one adds Promptable Concept Segmentation, the other adds Promptable Visual Segmentation. They share documentation/pipeline scaffolding, but target different concrete pipelines and model integrations, so they should not be merged as duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No canonical duplicate here; the two PRs implement different segmentation pipelines with different code paths and model/test coverage.", + "best_issue_reason": null, + "best_pr_reason": "PR #43613 is the broader/more complete feature addition, with more model integrations and test coverage, so it is the better representative of the cluster if one must be chosen.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43612", + "right": "pull_request:43613", + "accept": false, + "reason": "Reject: despite similar docs and pipeline plumbing, these add different pipelines (concept vs visual segmentation) and touch different concrete model integrations, 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": "pull_request", + "component_index": 11, + "component_count": 27, + "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": "3e3bfa8d60bd0391feea65dda0c9a537caa16361bc88c0f30ec71f97b8066e24", + "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 PRs are both trainer customizability tweaks, but they address different code paths: gradient-accumulation loss scaling vs. column/signature filtering. They should not be merged as duplicates.", + "confidence": 0.97, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: PR 43651 changes training-step loss scaling, while PR 43663 introduces a signature-column helper for dataset column filtering; they solve different problems.", + "best_issue_reason": null, + "best_pr_reason": "PR 43651 is a clearer standalone change, but neither PR subsumes the other, so it is only a tentative representative\u2014not a duplicate canonical.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43651", + "right": "pull_request:43663", + "accept": false, + "reason": "Different trainer internals and user-facing behaviors: one adjusts gradient accumulation loss normalization, the other refactors model signature inspection for column filtering. Same file/subsystem only, not the same underlying 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": 12, + "component_count": 27, + "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": "4ae9ff3fef533cdccbba898af9f5b221d62e84fa526b6c26d2b1f462c10b65e7", + "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 patch annotation-related NameErrors in `src/transformers/cli/serve.py`, but they address different runtime failures: one around `TypeAdapter`, the other around type hints/imports when `pydantic` is absent. Related area, not the same change.", + "confidence": 0.86, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #43842 is the cleaner canonical representative for this cluster because it has the more specific, directly described `TypeAdapter` import/type-hint fix and an explicit issue link.", + "best_issue_reason": null, + "best_pr_reason": "PR #43842 is the strongest standalone candidate: it is narrowly scoped, explicitly targets the `TypeAdapter` NameError, and has the clearest issue linkage.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43656", + "right": "pull_request:43842", + "accept": false, + "reason": "Both touch the same file and both fix NameError-like typing issues, but they resolve different concrete problems in different annotations/import paths. They are related, not 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": 13, + "component_count": 27, + "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": 14, + "component_count": 27, + "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:44116", + "pull_request:44068|pull_request:44722", + "pull_request:44018|pull_request:44116", + "pull_request:44071|pull_request:44722", + "pull_request:44018|pull_request:44086", + "pull_request:44018|pull_request:44085", + "pull_request:44068|pull_request:44086", + "pull_request:44071|pull_request:44085", + "pull_request:44059|pull_request:44086", + "pull_request:44085|pull_request:44086", + "pull_request:44098|pull_request:44101", + "pull_request:44059|pull_request:44722", + "pull_request:44018|pull_request:44071", + "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:44073|pull_request:44101", + "pull_request:44017|pull_request:44071", + "pull_request:44056|pull_request:44101", + "pull_request:44059|pull_request:44071", + 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"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": "e3cc124f718916e1d9dc4cf4a6ae45f20a2ec86a676cf2dcb27c0ba596baf046", + "component_budget": { + "node_count": 28, + "item_count": 28, + "soft_pair_count": 78, + "serialized_chars": 84893, + "estimated_input_tokens": 21224, + "estimated_eval_tokens": 42704 + }, + "budget": { + "node_count": 27, + "item_count": 27, + "soft_pair_count": 72, + "serialized_chars": 75088, + "estimated_input_tokens": 18772, + "estimated_eval_tokens": 37800 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "This cluster is mostly a set of separate model-specific output-tracing refactors that share the same umbrella initiative. The clear duplicate groups are GPT-Neo and GPT-J/CodeGen, and the GPT-J pair 44066/44085 should be treated as mergeable variants of the same fix.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "44722 is the best PR representative: it is the latest and broadest GPT-J/CodeGen output-tracing refactor, and it supersedes the earlier GPT-J-only variants.", + "best_issue_reason": null, + "best_pr_reason": "44722 best represents the duplicate cluster because it most completely captures the GPT-J/CodeGen output-tracing change and appears to be the later revision of the same fix.", + "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; not the same underlying change." + }, + { + "left": "pull_request:44066", + "right": "pull_request:44085", + "accept": true, + "reason": "Same GPT-J file and the same #43979 output-tracing refactor; 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same umbrella topic only." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44068", + "accept": true, + "reason": "Same GPT-Neo output-tracing refactor in the same model file/tests; clearly the same change." + }, + { + "left": "pull_request:44066", + "right": "pull_request:44068", + "accept": false, + "reason": "GPT-J/CodeGen vs GPT-Neo; different model families and code paths." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44066", + "accept": false, + "reason": "GPT-Neo vs GPT-J/CodeGen; different model refactors." + }, + { + "left": "pull_request:44019", + "right": "pull_request:44722", + "accept": false, + "reason": "ResNet vs GPT-J/CodeGen; same theme, different model code." + }, + { + "left": "pull_request:44086", + "right": "pull_request:44722", + "accept": false, + "reason": "MGP-STR vs GPT-J/CodeGen; unrelated." + }, + { + "left": "pull_request:44019", + "right": "pull_request:44085", + "accept": false, + "reason": "ResNet vs GPT-J; different code paths." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44019", + "accept": false, + "reason": "GPT-Neo vs ResNet; unrelated model implementations." + }, + { + "left": "pull_request:44019", + "right": "pull_request:44071", + "accept": false, + "reason": "ResNet vs MPT; unrelated." + }, + { + "left": "pull_request:44068", + "right": "pull_request:44116", + "accept": false, + "reason": "GPT-Neo vs Flaubert; unrelated." + }, + { + "left": "pull_request:44068", + "right": "pull_request:44722", + "accept": false, + "reason": "GPT-Neo vs GPT-J/CodeGen; different concrete refactors." + }, + { + "left": "pull_request:44059", + "right": "pull_request:44086", + "accept": false, + "reason": "GPT2 vs MGP-STR; unrelated." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44086", + "accept": false, + "reason": "GPT-J vs MGP-STR; unrelated." + }, + { + "left": "pull_request:44098", + "right": "pull_request:44101", + "accept": false, + "reason": "ViLT vs Flaubert/XLM; different models and changes." + }, + { + "left": "pull_request:44059", + "right": "pull_request:44722", + "accept": false, + "reason": "GPT2 vs GPT-J/CodeGen; different code paths." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44071", + "accept": false, + "reason": "GPT-Neo vs MPT; unrelated." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44161", + "accept": false, + "reason": "Segformer vs LongT5; different model implementations." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44722", + "accept": false, + "reason": "Segformer vs GPT-J/CodeGen; unrelated." + }, + { + "left": "pull_request:44017", + "right": "pull_request:44073", + "accept": false, + "reason": "Segformer vs VisualBert; different concrete changes." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44073", + "accept": false, + "reason": "RegNet vs VisualBert; unrelated." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44017", + "accept": false, + "reason": "RegNet vs Segformer; different models." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44056", + "accept": false, + "reason": "RegNet vs MPNet; unrelated." + }, + { + "left": "pull_request:44071", + "right": "pull_request:44076", + "accept": false, + "reason": "MPT vs ImageGPT; different models and code paths." + }, + { + "left": "pull_request:44074", + "right": "pull_request:44101", + "accept": false, + "reason": "TextNet vs Flaubert/XLM; unrelated." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44161", + "accept": false, + "reason": "MPNet vs LongT5; same broad initiative only." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44018", + "accept": false, + "reason": "RegNet vs GPT-Neo; unrelated." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44161", + "accept": false, + "reason": "RegNet vs LongT5; unrelated." + }, + { + "left": "pull_request:44074", + "right": "pull_request:44161", + "accept": false, + "reason": "TextNet vs LongT5; different models." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44161", + "accept": false, + "reason": "GPT-Neo vs LongT5; unrelated." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44071", + "accept": false, + "reason": "RegNet vs MPT; different code paths." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44071", + "accept": false, + "reason": "SqueezeBert vs MPT; unrelated." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44073", + "accept": false, + "reason": "SqueezeBert vs VisualBert; different model code." + }, + { + "left": "pull_request:44018", + "right": "pull_request:44059", + "accept": false, + "reason": "GPT-Neo vs GPT2; unrelated." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44018", + "accept": false, + "reason": "SqueezeBert vs GPT-Neo; different models." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44161", + "accept": false, + "reason": "FNet/CVT vs LongT5; unrelated." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44017", + "accept": false, + "reason": "FNet/CVT vs Segformer; different model families." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44044", + "accept": false, + "reason": "SqueezeBert vs DeBERTa V2; not the same concrete bug/change." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44074", + "accept": false, + "reason": "DeBERTa V2 vs TextNet; unrelated." + }, + { + "left": "pull_request:44066", + "right": "pull_request:44722", + "accept": true, + "reason": "Same GPT-J/CodeGen output-tracing refactor; 44722 is the broader later revision." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44722", + "accept": true, + "reason": "Same GPT-J output-tracing refactor in the same file; 44722 is the broader revision." + }, + { + "left": "pull_request:44085", + "right": "pull_request:44129", + "accept": false, + "reason": "GPT-J vs SpeechT5; unrelated." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44007", + "accept": false, + "reason": "FNet/CVT vs RegNet/ResNet/RT-DETR; different changes." + }, + { + "left": "pull_request:43996", + "right": "pull_request:44129", + "accept": false, + "reason": "FNet/CVT vs SpeechT5; unrelated." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44129", + "accept": false, + "reason": "DeBERTa V2 vs SpeechT5; different code paths." + }, + { + "left": "pull_request:44044", + "right": "pull_request:44154", + "accept": false, + "reason": "DeBERTa V2 vs Vits; unrelated." + } + ] + }, + "evaluator_result": { + "accept": false, + "feedback": "The packet supports the GPT-J/CodeGen cluster, but the analyst is too strict on one key soft edge: 44066 and 44085 both touch the same GPT-J file and the same #43979 output-tracing refactor, so they do look mergeable into a single PR for the same bugfix. Because that pair is rejected, the soft-edge verdicts are not fully conservative. The rest of the summary is mostly grounded, but this mismatch is enough to reject." + }, + "evaluator_used": true, + "retried": true, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 14, + "component_count": 27, + "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": "27dbeab5a5c419ebcb45c062c006302d1c180acf9128044e9c0a38c4878ba218", + "component_budget": { + "node_count": 28, + "item_count": 28, + "soft_pair_count": 78, + "serialized_chars": 84893, + "estimated_input_tokens": 21224, + "estimated_eval_tokens": 42704 + }, + "budget": { + "node_count": 8, + "item_count": 8, + "soft_pair_count": 6, + "serialized_chars": 17126, + "estimated_input_tokens": 4282, + "estimated_eval_tokens": 8820 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": true, + "analyst_result": { + "summary": "These are thematically similar output-tracing refactors, but they target different model implementations and code paths, so they should not be collapsed as duplicates.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44073 is the clearest representative of the cluster if one must be chosen, but the set is not a duplicate group: each PR is a model-specific migration to standardized output capture.", + "best_issue_reason": null, + "best_pr_reason": "PR 44073 is the strongest representative of the overall pattern because it explicitly adds the standardized tracing hooks and decorator usage in a focused VisualBert refactor.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44024", + "right": "pull_request:44076", + "accept": false, + "reason": "Different model families and code paths (FocalNet vs ImageGPT); same refactor theme, not the same underlying change." + }, + { + "left": "pull_request:44073", + "right": "pull_request:44074", + "accept": false, + "reason": "VisualBert and TextNet are separate implementations; these are parallel output-tracing migrations, not one shared fix." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44073", + "accept": false, + "reason": "MPNet and VisualBert touch different model internals; the overlap is only the standardized output-capture pattern." + }, + { + "left": "pull_request:44056", + "right": "pull_request:44074", + "accept": false, + "reason": "MPNet and TextNet are unrelated code paths; similarity is limited to the refactor style." + }, + { + "left": "pull_request:43997", + "right": "pull_request:44010", + "accept": false, + "reason": "RegNet and SqueezeBert are different architectures with different forward paths, so these are not mergeable as one PR." + }, + { + "left": "pull_request:44010", + "right": "pull_request:44129", + "accept": false, + "reason": "SqueezeBert and SpeechT5 are distinct subsystems; the shared idea is output tracing, not the same 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": 15, + "component_count": 27, + "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-43998-14", + "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", + "pull_request:46106" + ], + "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", + "pull_request:44027|pull_request:46106", + "pull_request:44026|pull_request:46106", + "pull_request:44001|pull_request:46106", + "pull_request:44002|pull_request:46106", + "pull_request:43998|pull_request:46106" + ], + "prepared_review_unit_hash": "9ee81581dc03c47de0be4062e75646062f345e2c565694ce673ee837bda62369", + "component_budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 45, + "serialized_chars": 43780, + "estimated_input_tokens": 10945, + "estimated_eval_tokens": 22146 + }, + "budget": { + "node_count": 14, + "item_count": 14, + "soft_pair_count": 45, + "serialized_chars": 43780, + "estimated_input_tokens": 10945, + "estimated_eval_tokens": 22146 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "This cluster is mostly a pile of model-specific output-tracing refactors plus one unrelated docs toctree edit. They share a theme, but they are not the same underlying change, so there are no true duplicate PR pairs here.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 44003 is the most representative and substantial of the output-tracing refactors: it spans two model files (FalconMamba and Mamba) and adds shared output-capture plumbing, making it the best cluster anchor.", + "best_issue_reason": null, + "best_pr_reason": "PR 44003 is the best single representative PR because it is the broadest code-level refactor in the set and most clearly centers on the output-tracing infrastructure rather than a narrow model-only wrapper change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:43998", + "right": "pull_request:44002", + "accept": false, + "reason": "Different model families (timm_backbone vs upernet). 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Similar API cleanup only." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44003", + "accept": false, + "reason": "Timm backbone refactor is unrelated to the Mamba/FalconMamba output-capture change." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44029", + "accept": false, + "reason": "Different model code paths (timm_backbone vs rwkv); shared theme is too broad to duplicate." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44001", + "accept": false, + "reason": "MobileNetV1 and UnivNet are separate models with different forward signatures and tracing setup." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44002", + "accept": false, + "reason": "Different model families; both are tracing refactors, not the same concrete fix." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44025", + "accept": false, + "reason": "MobileNetV1 vs Depth Anything are unrelated model paths." + }, + { + "left": "pull_request:43999", + "right": "pull_request:44026", + "accept": false, + "reason": "Separate encoder/decoder wrappers and distinct implementations; 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only the tracing refactor pattern overlaps." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44003", + "accept": false, + "reason": "Different underlying model code and separate forward contracts." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44025", + "accept": false, + "reason": "UnivNet vs Depth Anything is not the same fix." + }, + { + "left": "pull_request:44002", + "right": "pull_request:44029", + "accept": false, + "reason": "UperNet and RWKV are separate model implementations; similar cleanup only." + }, + { + "left": "pull_request:44002", + "right": "pull_request:44003", + "accept": false, + "reason": "Different model families and different output-tracing mechanisms." + }, + { + "left": "pull_request:44003", + "right": "pull_request:44028", + "accept": false, + "reason": "Mamba/FalconMamba output-capture refactor is unrelated to SuperPoint's tracing cleanup." + }, + { + "left": "pull_request:44003", + "right": "pull_request:44004", + "accept": false, + "reason": "Mamba/FalconMamba and CodeGen address different code paths and output contracts." + }, + { + "left": "pull_request:43998", + "right": "pull_request:44004", + "accept": false, + "reason": "Timm backbone and CodeGen are unrelated model implementations." + }, + { + "left": "pull_request:44001", + "right": "pull_request:44004", + "accept": false, + "reason": "UnivNet and CodeGen are different models; only the refactor motif matches." + }, + { + "left": "pull_request:44002", + "right": "pull_request:44004", + "accept": false, + "reason": "UperNet and CodeGen are separate code paths with no shared defect." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44026", + "accept": false, + "reason": "Depth Anything vs VisionEncoderDecoder are distinct models; not the same underlying change." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44027", + "accept": false, + "reason": "Different model families and different forward wrappers." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44028", + "accept": false, + "reason": "Depth Anything and SuperPoint are unrelated code paths." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44029", + "accept": false, + "reason": "Depth Anything vs RWKV are different models and changes." + }, + { + "left": "pull_request:44025", + "right": "pull_request:44030", + "accept": false, + "reason": "Depth Anything and DPR are separate model implementations." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44029", + "accept": false, + "reason": "VisionEncoderDecoder and RWKV are unrelated; same broad refactor theme only." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44027", + "accept": false, + "reason": "VisionEncoderDecoder and SpeechEncoderDecoder are similar wrappers but still different code paths and changes." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44028", + "accept": false, + "reason": "Different model families; not mergeable as one concrete fix." + }, + { + "left": "pull_request:44026", + "right": "pull_request:44030", + "accept": false, + "reason": "VisionEncoderDecoder and DPR do not share the same underlying bug." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44028", + "accept": false, + "reason": "SpeechEncoderDecoder and SuperPoint are unrelated models." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44029", + "accept": false, + "reason": "SpeechEncoderDecoder and RWKV are distinct code paths." + }, + { + "left": "pull_request:44027", + "right": "pull_request:44030", + "accept": false, + "reason": "SpeechEncoderDecoder and DPR are separate model wrappers." + }, + { + "left": "pull_request:44028", + "right": "pull_request:44029", + "accept": false, + "reason": "SuperPoint and RWKV are unrelated model implementations." + }, + { + "left": "pull_request:44028", + "right": "pull_request:44030", + "accept": false, + "reason": "SuperPoint and DPR address different code paths." + }, + { + "left": "pull_request:44029", + "right": "pull_request:44030", + "accept": false, + "reason": "RWKV and DPR are separate model-specific changes, not one duplicate fix." + }, + { + "left": "pull_request:44027", + "right": "pull_request:46106", + "accept": false, + "reason": "SpeechEncoderDecoder code change is unrelated to the docs toctree edit." + }, + { + "left": "pull_request:44026", + "right": "pull_request:46106", + "accept": false, + "reason": "VisionEncoderDecoder refactor and docs navigation change are unrelated." + }, + { + "left": "pull_request:44001", + "right": "pull_request:46106", + "accept": false, + "reason": "UnivNet output tracing and documentation toctree updates are unrelated." + }, + { + "left": "pull_request:44002", + "right": "pull_request:46106", + "accept": false, + "reason": "UperNet refactor has nothing to do with docs structure." + }, + { + "left": "pull_request:43998", + "right": "pull_request:46106", + "accept": false, + "reason": "Timm backbone refactor and the docs toctree change are unrelated." + } + ] + }, + "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": 27, + "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-44662-3", + "nodes": [ + "pull_request:44662", + "pull_request:45075", + "pull_request:45401" + ], + "soft_pairs": [ + "pull_request:44662|pull_request:45401", + "pull_request:44662|pull_request:45075", + "pull_request:45075|pull_request:45401" + ], + "prepared_review_unit_hash": "28d5582e5e63a9fdeb021df04d9d43698470c2c907e67aec73be207fb4736a14", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 10913, + "estimated_input_tokens": 2729, + "estimated_eval_tokens": 5714 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 3, + "serialized_chars": 10913, + "estimated_input_tokens": 2729, + "estimated_eval_tokens": 5714 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are three separate model-addition pull requests (PenguinVL, DeepSeek-OCR-2, and Voxtral TTS) that share the usual Transformers model scaffolding but target different architectures and code paths. They are similar in shape, not duplicates.", + "confidence": 0.98, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical PR: each PR adds a different model implementation and supports a different code path.", + "best_issue_reason": null, + "best_pr_reason": "PR 45075 is the most complete standalone reference among the three, but it is not a duplicate of the others; it simply has the strongest overall model-addition package.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44662", + "right": "pull_request:45401", + "accept": false, + "reason": "Different models and different targets: PenguinVL vs Voxtral TTS. Shared auto/docs files are generic model-registration boilerplate, not the same underlying change." + }, + { + "left": "pull_request:44662", + "right": "pull_request:45075", + "accept": false, + "reason": "Different model families and implementations. They both add new model support, but for unrelated architectures, so they should not be merged as duplicates." + }, + { + "left": "pull_request:45075", + "right": "pull_request:45401", + "accept": false, + "reason": "DeepSeek-OCR-2 and Voxtral TTS address different model code paths and file sets. Similar repository plumbing is expected and is not enough to treat them as one 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": 17, + "component_count": 27, + "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": "855a2f95aef400e99222ccdc606b5cc09aa83a0260889c64eb7adcfe91baa3de", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4406, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4406, + "estimated_input_tokens": 1102, + "estimated_eval_tokens": 2460 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "The two PRs are related to module/kernel fusion, but they target different layers and code paths: #44979 adds a general Module Fusion API, while #45363 wires up n-to-1 kernel fusion via KernelConfig and an example. They are not the same change and should not be merged as duplicates.", + "confidence": 0.9, + "canonical_issue_reason": null, + "canonical_pr_reason": "#44979 is the more foundational PR: it introduces the core Module Fusion API and test coverage, whereas #45363 is a separate integration layer for KernelConfig-based kernel fusion.", + "best_issue_reason": null, + "best_pr_reason": "#44979 is the best representative PR for the cluster because it defines the underlying fusion abstraction; #45363 depends on a different, more specific kernel-fusion workflow.", + "soft_edge_verdicts": [ + { + "left": "pull_request:44979", + "right": "pull_request:45363", + "accept": false, + "reason": "They discuss fusion in general, but one is a core API addition and the other is a specific KernelConfig integration/example. Different concrete changes, not the same underlying 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": 18, + "component_count": 27, + "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": "5e2940f8b1e3da5fc64ac83a8414886d6965a47c3d1afea7922dc4640973f5e4", + "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 PRs fix the same Mistral regex AttributeError in the same function and even share the same issue target; 45317 is the more complete version because it adds tests.", + "confidence": 0.99, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 45317 is the best canonical PR because it implements the same code fix as 45086 and also includes test coverage, making it the more complete change set.", + "best_issue_reason": null, + "best_pr_reason": "PR 45317 is the strongest representative of the cluster since it contains the core fix plus validation tests, whereas 45086 is the narrower earlier patch.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45086", + "right": "pull_request:45317", + "accept": true, + "reason": "Same underlying bug fix in the same file/function, same explicit issue target, and the diff is essentially the same with 45317 only adding 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": 19, + "component_count": 27, + "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-45115-2", + "nodes": [ + "pull_request:45115", + "pull_request:45569" + ], + "soft_pairs": [ + "pull_request:45115|pull_request:45569" + ], + "prepared_review_unit_hash": "42c808ae4e7050a162cab3a5c916265c41f9fe7f3a8be093dba365f3a0592e38", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6065, + "estimated_input_tokens": 1517, + "estimated_eval_tokens": 3290 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 6065, + "estimated_input_tokens": 1517, + "estimated_eval_tokens": 3290 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are related to NemotronH model support, but they target different slices of work: one is a narrow refactor/conversion-mapping update, the other is a broader model split and docs/tests update. They are not duplicates.", + "confidence": 0.89, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #45569 is the better canonical PR because it appears to be the more complete, user-facing implementation: it adds the NemotronH dense/sparse model docs, auto-mapping updates, model files, and tests, whereas #45115 is a narrower refactor focused on conversion mapping and inheritance wiring.", + "best_issue_reason": null, + "best_pr_reason": "PR #45569 is the best representative of the cluster since it covers the larger end-to-end NemotronH change set and is more likely to subsume the smaller refactor work in #45115.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45115", + "right": "pull_request:45569", + "accept": false, + "reason": "Related subsystem, but not the same concrete change: #45115 is mainly conversion-mapping / inheritance refactoring, while #45569 adds the actual dense/sparse model split, docs, and tests. They could not plausibly be merged as one PR without widening scope materially." + } + ] + }, + "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": 27, + "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": "f13a02df7ec997f6f8ea369c1558a81565cde0a8215b46467c3394b548484c4f", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5397, + "estimated_input_tokens": 1350, + "estimated_eval_tokens": 2956 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 5397, + "estimated_input_tokens": 1350, + "estimated_eval_tokens": 2956 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "Two related but distinct PRs: one adds per-layer heterogeneous config support, the other adds broader heterogeneous model/runtime support built on top of it. They overlap in shared heterogeneity/config code, but they are not the same concrete change.", + "confidence": 0.87, + "canonical_issue_reason": null, + "canonical_pr_reason": "Pick PR #45332 as canonical: it is the broader, more representative feature PR and includes the model/cache/runtime pieces in addition to the shared heterogeneous config work.", + "best_issue_reason": null, + "best_pr_reason": "PR #45332 is the best cluster representative because it spans the largest concrete user-facing change and subsumes the narrower config-only work.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45332", + "right": "pull_request:45333", + "accept": false, + "reason": "Reject: #45333 adds foundational per-layer config support, while #45332 adds model/cache support for heterogeneous execution. They are related, but they fix/introduce different layers of the feature stack and would not be cleanly merged as one 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": 21, + "component_count": 27, + "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": "0068b27445ba1216692a134d0d9059f83857eeaeda715f490cbcab4bca499c2c", + "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": "The two PRs are both typing-related, but they address different changes: PR 45415 is a broad type-checking sweep with config suppressions across many files, while PR 45425 adds specific shared typing aliases/protocols for modeling_utils/PEFT and related utilities. They are not duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "No single canonical duplicate PR: 45415 is a repo-wide typing cleanup, whereas 45425 is a separate core typing-API change.", + "best_issue_reason": null, + "best_pr_reason": "45425 is the better representative if a single PR must be chosen because it makes a concrete reusable typing change in shared infrastructure; 45415 is broader and largely config/sweep oriented.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45415", + "right": "pull_request:45425", + "accept": false, + "reason": "Both are about typing, but the concrete work differs: 45415 is a broad type-checking pass and ignore-policy update, while 45425 adds specific typing protocols/aliases for modeling_utils/PEFT. 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": 22, + "component_count": 27, + "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-45487-4", + "nodes": [ + "pull_request:45487", + "pull_request:46109", + "pull_request:46135", + "pull_request:46151" + ], + "soft_pairs": [ + "pull_request:45487|pull_request:46151", + "pull_request:46109|pull_request:46151", + "pull_request:46135|pull_request:46151" + ], + "prepared_review_unit_hash": "09c14c0d52599ef43e8cf1099c0a787e7e23088c216f341d325c7bfbdd33bd6f", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 9912, + "estimated_input_tokens": 2478, + "estimated_eval_tokens": 5212 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 3, + "serialized_chars": 9912, + "estimated_input_tokens": 2478, + "estimated_eval_tokens": 5212 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These PRs are all test/runtime portability changes, but they target different subsystems and failure modes. None look like true duplicates; 46109 is the broadest and most representative of the cluster\u2019s device-normalization theme.", + "confidence": 0.84, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46109 is the best representative because it makes a general device-string assertion update across distributed trainer tests, which is broader and more central than the single-model or single-test expectation tweaks in the other PRs.", + "best_issue_reason": null, + "best_pr_reason": "PR 46109 has the clearest, most general change and spans multiple distributed test cases, making it the strongest standalone candidate in this cluster.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45487", + "right": "pull_request:46151", + "accept": false, + "reason": "Different problems: 45487 fixes AltCLIP/ChineseCLIP model-parallel token-type device placement, while 46151 only adds XPU expectations for a token-classification pipeline test." + }, + { + "left": "pull_request:46109", + "right": "pull_request:46151", + "accept": false, + "reason": "Both touch tests, but the underlying changes differ: 46109 generalizes distributed trainer device assertions, while 46151 adds per-device expectations for a pipeline test." + }, + { + "left": "pull_request:46135", + "right": "pull_request:46151", + "accept": false, + "reason": "These are unrelated test updates for different models and behaviors: Kosmos2.5 integration expectations vs. token-classification pipeline expectations." + } + ] + }, + "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": 27, + "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-45513-3", + "nodes": [ + "pull_request:45513", + "pull_request:46084", + "pull_request:46098" + ], + "soft_pairs": [ + "pull_request:45513|pull_request:46084", + "pull_request:46084|pull_request:46098" + ], + "prepared_review_unit_hash": "c16b10a74f3b10778b4c0cd513d7ab14a26f2e20a374b3d913006cf7c45d769c", + "component_budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7428, + "estimated_input_tokens": 1857, + "estimated_eval_tokens": 3970 + }, + "budget": { + "node_count": 3, + "item_count": 3, + "soft_pair_count": 2, + "serialized_chars": 7428, + "estimated_input_tokens": 1857, + "estimated_eval_tokens": 3970 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "One PR is unrelated (Qwen3.5 vs Mamba2). The two Mamba2 PRs appear to address the same cached `use_cache` / `seq_len > 1` bug and are the closest duplicate pair in the cluster.", + "confidence": 0.76, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR #46098 is the best canonical PR: it targets the shared Mamba2 `use_cache` seq_len>1 bug, explicitly covers both CPU and GPU paths, and includes tests plus docs, making it the most complete fix.", + "best_issue_reason": null, + "best_pr_reason": "PR #46098 is the strongest representative because it is the most comprehensive implementation of the common Mamba2 cached-forward bug and is explicitly tied to issue #46032.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45513", + "right": "pull_request:46084", + "accept": false, + "reason": "Different models and different code paths: Qwen3.5 GDN linear attention vs Mamba2 mixer cached forward. Similar wording about cached multi-token behavior is not enough to treat them as the same fix." + }, + { + "left": "pull_request:46084", + "right": "pull_request:46098", + "accept": true, + "reason": "Both target the same Mamba2 `use_cache` with `seq_len > 1` bug, share the same issue target (#46032), and touch the same model/test files; the fixes are plausibly mergeable into one PR." + } + ] + }, + "evaluator_result": { + "accept": true, + "feedback": "The verdicts are conservative and grounded in the packet. PR 45513 is clearly on a different set of models/code paths than Mamba2, so rejecting that pair is justified. PRs 46084 and 46098 both target the same Mamba2 `use_cache` `seq_len > 1` bug, share issue #46032, and overlap in the same model/test files, so treating them as a mergeable duplicate pair is reasonable. The summary stays appropriately soft." + }, + "evaluator_used": true, + "retried": false, + "accepted_nontrivial_soft_edge": true, + "error_kind": null, + "error_message": null + }, + { + "label": "pull_request", + "component_index": 24, + "component_count": 27, + "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": "0ecd9bab613233028ace6e560f7ab13c7e38ea483a9b3d31934edecab778ed08", + "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, but they target different bugs: one fixes EP loading/serialization with DeepSpeed ZeRO-3, while the other fixes experts being overwritten during FSDP2/rank-0 broadcast. They are related in subsystem, not the same change.", + "confidence": 0.96, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 45662 is the stronger representative of the cluster because it addresses a concrete runtime corruption path with broader code changes, while PR 45548 is a narrower loading/serialization fix.", + "best_issue_reason": null, + "best_pr_reason": "PR 45662 is the best standalone PR candidate here: it targets a specific expert-parameter overwrite bug and contains the most direct, code-path-focused fix.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45548", + "right": "pull_request:45662", + "accept": false, + "reason": "Both are EP-related, but 45548 fixes loading via accelerate/ZeRO-3 and serialization of distributed_config, whereas 45662 fixes rank-0 broadcast overwriting experts under FSDP2. Different bug, different 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": 25, + "component_count": 27, + "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": "66742b96cafb52f67544a2fe6cdaa72ec24dddca26dfda2b318039dddffd5962", + "component_budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4589, + "estimated_input_tokens": 1148, + "estimated_eval_tokens": 2552 + }, + "budget": { + "node_count": 2, + "item_count": 2, + "soft_pair_count": 1, + "serialized_chars": 4589, + "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 address the same underlying xdist collision problem for `captured_info` debug artifacts in `testing_utils`; PR 45645 is the broader, more complete fix and subsumes the core change from 45639.", + "confidence": 0.88, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 45645 is the best canonical PR because it contains the core xdist-safe filename fix in `testing_utils` plus the downstream CI/log handling needed to consume multiple `captured_info*.txt` files, making it the most complete representation of the change.", + "best_issue_reason": null, + "best_pr_reason": "PR 45645 is the strongest standalone representative of the cluster: it fixes the same collision bug as 45639 and also updates the workflow path that reads the generated artifacts, so it captures the full end-to-end change.", + "soft_edge_verdicts": [ + { + "left": "pull_request:45639", + "right": "pull_request:45645", + "accept": true, + "reason": "Both PRs fix the same concrete bug: xdist workers colliding on `captured_info.txt` output in `testing_utils`. PR 45645 extends the same fix to CI artifact collection, so these could plausibly be merged as one 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": 26, + "component_count": 27, + "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": 27, + "component_count": 27, + "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-46069-4", + "nodes": [ + "pull_request:46069", + "pull_request:46073", + "pull_request:46154", + "pull_request:46196" + ], + "soft_pairs": [ + "pull_request:46069|pull_request:46073", + "pull_request:46069|pull_request:46154", + "pull_request:46069|pull_request:46196", + "pull_request:46073|pull_request:46154", + "pull_request:46073|pull_request:46196", + "pull_request:46154|pull_request:46196" + ], + "prepared_review_unit_hash": "ac2873275aac0ef1d7fa8675f58e6306bf3a5ebceae8fb5f1fecbd04ab41b065", + "component_budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10497, + "estimated_input_tokens": 2625, + "estimated_eval_tokens": 5506 + }, + "budget": { + "node_count": 4, + "item_count": 4, + "soft_pair_count": 6, + "serialized_chars": 10497, + "estimated_input_tokens": 2625, + "estimated_eval_tokens": 5506 + }, + "overflow_policy": "truncate_then_skip", + "trimmed": false, + "aggressively_trimmed": false, + "split": false, + "analyst_result": { + "summary": "These are all model-specific PRs adding attention-dispatch/SDPA support, but they target different architectures and code paths, so they are thematically similar rather than duplicates.", + "confidence": 0.94, + "canonical_issue_reason": null, + "canonical_pr_reason": "PR 46196 is the broadest single implementation here, covering both SeamlessM4T and SeamlessM4T v2 with the same SDPA dispatch pattern; the others are narrower, model-specific variants.", + "best_issue_reason": null, + "best_pr_reason": "PR 46196 is the best representative of the cluster because it has the widest scope among the four PRs and includes the most complete paired model support and tests.", + "soft_edge_verdicts": [ + { + "left": "pull_request:46069", + "right": "pull_request:46073", + "accept": false, + "reason": "Different model implementations and code paths: ShieldGemma2 image classification vs CTRL language modeling. Same broad feature theme, but not the same underlying fix." + }, + { + "left": "pull_request:46069", + "right": "pull_request:46154", + "accept": false, + "reason": "Different architectures and files: ShieldGemma2 vs T5. Both add attention-dispatch support, but they are separate model-specific changes." + }, + { + "left": "pull_request:46069", + "right": "pull_request:46196", + "accept": false, + "reason": "ShieldGemma2 image model support is unrelated to SeamlessM4T/v2 seq2seq/audio-text code paths; too different to be one merged fix." + }, + { + "left": "pull_request:46073", + "right": "pull_request:46154", + "accept": false, + "reason": "CTRL and T5 are distinct model code paths. Shared SDPA-dispatch theme is not enough to treat them as duplicates." + }, + { + "left": "pull_request:46073", + "right": "pull_request:46196", + "accept": false, + "reason": "CTRL causal LM attention dispatch and SeamlessM4T/v2 multimodal seq2seq dispatch are separate implementations, not the same bug or change." + }, + { + "left": "pull_request:46154", + "right": "pull_request:46196", + "accept": false, + "reason": "T5 and SeamlessM4T/v2 touch different model families and attention stacks; these are parallel feature ports, not one duplicate PR." + } + ] + }, + "evaluator_result": null, + "evaluator_used": false, + "retried": false, + "accepted_nontrivial_soft_edge": false, + "error_kind": null, + "error_message": null + } + ] +} diff --git a/snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/manifest.json b/snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..24e6b0878ed9b8841d8ed99a83b76b60cc385481 --- /dev/null +++ b/snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/manifest.json @@ -0,0 +1,14 @@ +{ + "analysis_id": "hybrid-model-20260526t000122z", + "artifacts": { + "hybrid": "snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "model": null, + "published_at": "2026-05-26T00:06:52Z", + "repo": "huggingface/transformers", + "schema_version": 1, + "snapshot_id": "20260526T000122Z", + "variant": "hybrid" +} diff --git a/snapshots/20260526T000122Z/manifest.json b/snapshots/20260526T000122Z/manifest.json index 641c924ffa9ba0972ff6921a4d372da5492d0700..cd540914b476c2db0268fa176c9ed6f8a99a5ca8 100644 --- a/snapshots/20260526T000122Z/manifest.json +++ b/snapshots/20260526T000122Z/manifest.json @@ -32,6 +32,24 @@ "timeline_events": 292 }, "extracted_at": "2026-05-26T00:01:22Z", + "published_analysis": { + "canonical_analysis_id": "hybrid-model-20260526t000122z", + "runs": { + "hybrid-model-20260526t000122z": { + "analysis_id": "hybrid-model-20260526t000122z", + "artifacts": { + "hybrid": "snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/analysis-report-hybrid.json", + "hybrid_reviews": "snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/analysis-report-hybrid.llm-reviews.json" + }, + "channel": "canonical", + "manifest_path": "snapshots/20260526T000122Z/analysis-runs/hybrid-model-20260526t000122z/manifest.json", + "model": null, + "published_at": "2026-05-26T00:06:52Z", + "variant": "hybrid" + } + }, + "schema_version": 1 + }, "repo": "huggingface/transformers", "snapshot_id": "20260526T000122Z", "watermark": {