Publish NexaMat rollout stack manifests and examples

README.md

@@ -0,0 +1,36 @@
+---
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- materials-science
+- crystal-generation
+- diffusion
+- controller
+- nexamat
+---
+
+# NexaMat2
+
+NexaMat2 is the rollout artifact hub for the NexaMat stack. It is not a single monolithic model.
+It binds a frozen physics encoder, a constrained diffusion decoder, and a partially fine-tuned Qwen3-14B
+controller into one auditable materials-discovery workflow.
+
+## Current Controller
+
+```text
+model_id: AethronPhantom/Nexa_Mat2
+subfolder: multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged
+base_model: Qwen/Qwen3-14B
+state: partial FFT pilot, not full-dataset FFT
+```
+
+## Stack Contract
+
+- Encoder: physics grounding and plausibility scoring.
+- Decoder: best-of-N constrained candidate proposal.
+- Controller: ranking, rejection, evidence routing, and explanation.
+- Cross-attention bridge: adapter surface for text, encoder, decoder, task, and evidence streams.
+
+See `stack_manifest.json` for the machine-readable rollout contract.
+
+Status: `rollout_partial_controller`.

decoder/diffusion_v1/manifest.json

@@ -0,0 +1,8 @@
+{
+  "artifact_uri": "wasabi:nexa-mat/models/nexa_mat/diffusion-generation-v1/prod/nexa_mat_diffusion_prod_fp32_b512_phase_sampler_20260512T162654Z/final_checkpoint.pt",
+  "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-13_diffusion_prod_225k_closeout.md",
+  "generation_mode": "distributional_sampler_best_of_n",
+  "name": "nexa_mat_diffusion_generation_v1",
+  "role": "constrained best-of-N candidate proposal and structure repair",
+  "run_root_uri": "wasabi:nexa-mat/models/nexa_mat/diffusion-generation-v1/prod/nexa_mat_diffusion_prod_fp32_b512_phase_sampler_20260512T162654Z"
+}

encoder/v1/manifest.json

@@ -0,0 +1,8 @@
+{
+  "artifact_uri": "wasabi:nexa-mat/models/nexa_mat/encoder-pretrain/full_v1/2026-05-06/nexa_mat_encoder_blackwell_full_v1_continue_to_200k_20260506T075034Z/nexa_mat_V1_final.pt",
+  "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-06_full_pretrain_v1_200k_closeout.md",
+  "dataset_uri": "wasabi:nexa-mat/datasets/nexa_mat_v1",
+  "frozen": true,
+  "name": "nexa_mat_V1_final",
+  "role": "frozen physics grounding and plausibility scoring"
+}

eval/controller_smoke/all_predictions.jsonl

@@ -0,0 +1,6 @@
+{"record_id": "af23cbb7e220e94da7a4d5c0", "prediction": "No markdown, no text, no citations, no explanations. Return structured decision with constraints and candidate routing.\nTARGET_DECISION:\n{\"candidate_decisions\":[{\"candidate_id\":\"cand_frontier_001\",\"decision_type\":\"frontier_dft_candidate\",\"requires_followup\":[\"full_dft_validation\",\"structure_or_property_evidence\"],\"usable_for\":[\"candidate_ranking\",\"evidence_planning\",\"dft_planning\"]}],\"decision_type\":\"stack_agreement_decision\",\"requires_followup\":[\"full_dft_validation\",\"structure_or_property_evidence\"],\"usable_for\":[\"candidate_ranking\",\"evidence_planning\",\"dft_planning\"]}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}
+{"record_id": "9987417195968e8d6910f9c7", "prediction": "No markdown, no text, no explanations. Return a structured decision with constraints, candidate routing, reject reasons, and the next action for evidence retrieval or human review.\nTARGET_DECISION:\n{\"decision_type\":\"stack_agreement_decision\",\"decision_role\":\"candidate_router_or_retrieval_planner\",\"requires_followup\":[\"full_dft_or_synthesis_validation\",\"structure_or_property_evidence_check\"],\"usable_for\":[\"candidate_ranking\",\"evidence_planning\",\"decision_validation\"],\"venue\":\"materials_discovery_or_synthesis_planning\",\"workflow_stage\":\"preliminary_screening_or_planning\"}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}
+{"record_id": "d31ab043d82d72e120834a7c", "prediction": "No markdown, no text, no citations, no explanations. Return structured decision with constraints, candidate routing, reject reasons, evidence references, and the next action for decoder sampling, evidence retrieval, DFT validation, or human review.\nTARGET_DECISION:\n{\"candidate_decisions\":[{\"candidate_id\":\"cand_ranked_001\",\"decision_type\":\"stack_agreement_decision\",\"requires_followup\":[\"full_dft_validation\"],\"usable_for\":[\"candidate_ranking\",\"decision_grounding\"],\"venue_context\":null,\"was_retrieved_for\":[\"decision_grounding\",\"evidence_retrieval_context\"]}],\"decision_type\":\"candidate_ranking_or_retrieval_context\",\"requires_followup\":[\"full_dft_validation\"],\"usable_for\":[\"candidate_ranking\",\"decision_grounding\",\"evidence_retrieval_context\"],\"venue_context\":null,\"was_retrieved_for\":[\"decision_grounding\",\"evidence_retrieval_context\"]}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}
+{"record_id": "0908c8989f43dcc42f5058eb", "prediction": "No explanations or markdown.\n{\"decision_type\":\"stack_agreement_decision\",\"decision_reason\":\"Physically invalid candidate with hard constraint violations (min_distance_angstrom=0.48, min_distance_violation_rate=0.12, passes_basic_constraints=false, passes_plausibility_filter=false)\",\"candidate_id\":\"cand_invalid_001\",\"decision_class\":\"rejected_candidates\",\"requires_followup\":[\"full_geometry_check\",\"structure_repair_or_rejection\"],\"not_safe_for\":[\"evidence_retrieval\",\"candidate_promotion\"]}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}
+{"record_id": "bcc8353b05fa8714b9222c43", "prediction": "No markdown, no text, no citations, no explanations. Return structured constraints and evidence references only. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate_id, decision_type, decision_reason, evidence_references, and candidate_pool fields. Return null for any fields not explicitly provided in the input. Return the candidate pool as-is with no modifications. Return the structured decision with constraints, evidence references, and the next action for each candidate. Return only the candidate", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}
+{"record_id": "42d2dff376f8fb468da28fd2", "prediction": "No markdown, no text, no citations, no explanations. Return structured decision with constraints, candidate routing, reject reasons, evidence references, and the next action for each candidate in the pool.\nTARGET_DECISION:\n{\"candidate_decisions\":[{\"candidate_id\":\"cand_conservative_known_001\",\"decision_type\":\"stack_agreement_decision\",\"decision_role\":\"candidate_router_or_retrieval_filter\",\"requires_followup\":[\"full_dft_or_synthesis_validation\"],\"usable_for\":[\"candidate_retrieval_filtering\",\"decision_stack_grounding\",\"evidence_context_provision\"],\"venue_context\":\"materials_synthesis_or_property_prediction\",\"was_retrieved_from\":[\"candidate_pool\",\"decision_stack_grounding\",\"evidence_context_provision\"],\"will_be_used_for\":[\"candidate_retrieval_filtering\",\"decision_stack_grounding\",\"evidence_context_provision\"]}],\"decision_type\":\"stack_agreement_decision\",\"decision_role\":\"candidate_router_or_retrieval_filter\",\"requires_followup\":[\"full_dft_or_synthesis_validation\"],\"usable_for\":[\"candidate_retrieval_filtering\",\"decision_stack_grounding\",\"evidence_context_provision\"],\"venue_context\":\"materials_synthesis_or_property_prediction\",\"was_retrieved_from\":[\"candidate_pool\",\"decision_stack_grounding\",\"evidence_context_provision\"],\"will_be_used_for\":[\"candidate_retrieval_filtering\",\"decision_stack_grounding\",\"evidence_context_provision\"]}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}

eval/controller_smoke/all_summary.json

@@ -0,0 +1,32 @@
+{
+  "alignment_gates": 3,
+  "alignment_score": 0.4315514275885793,
+  "candidate_decision_accuracy": 0.16666666666666666,
+  "candidates": 6,
+  "controller_alignment_promotable": false,
+  "criteria": {
+    "alignment_ready_for_fft": true,
+    "bad_candidate_false_positive_max": 0.0,
+    "min_frontier_preservation": 1.0,
+    "min_known_deprioritization": 1.0,
+    "uncontained_hallucination_max": 0.0
+  },
+  "false_positive_rate_on_bad_candidates": 0.0,
+  "frontier_preservation_rate": 1.0,
+  "gate_checks": {
+    "bad_candidate_false_positive": true,
+    "frontier_preservation": true,
+    "known_deprioritization": false,
+    "ready_for_fft": false,
+    "uncontained_hallucination": false
+  },
+  "known_deprioritization_rate": 0.0,
+  "prediction_generators": [
+    "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"
+  ],
+  "ready_for_fft": false,
+  "records": 6,
+  "report": "/dev/shm/nexa_mat_controller_rollout_all_eval.md",
+  "structured_output_validity": 0.16666666666666666,
+  "uncontained_hallucination_rate": 1.0
+}

eval/controller_smoke/reverse_predictions.jsonl

@@ -0,0 +1 @@
+{"record_id": "171178b159d3c16c09173074", "prediction": "No markdown, no text, no citations, no explanations. Return structured decisions with constraints and evidence references.\nTARGET_DECISION:\n{\"decision_type\":\"stack_agreement_decision\",\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\",\"requires_followup\":[\"full_dft_validation\",\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"valid_for\":[\"materials_synthesis_planning\",\"structure_or_property_retrieval\",\"candidate_pool_ranking\"],\"candidate_decisions\":[{\"candidate_id\":\"cand_frontier_001\",\"decision_type\":\"frontier_dft_candidate\",\"requires_followup\":[\"full_dft_validation\"],\"usable_for\":[\"materials_synthesis_planning\"],\"valid_for\":[\"materials_synthesis_planning\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"},{\"candidate_id\":\"cand_known_001\",\"decision_type\":\"known_deprioritized\",\"requires_followup\":[\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\"],\"valid_for\":[\"candidate_pool_ranking\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"},{\"candidate_id\":\"cand_ranked_001\",\"decision_type\":\"ranked_candidate\",\"requires_followup\":[\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"valid_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"},{\"candidate_id\":\"cand_invalid_001\",\"decision_type\":\"reject_invalid\",\"requires_followup\":[\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\"],\"valid_for\":[\"candidate_pool_ranking\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"},{\"candidate_id\":\"cand_retrieve_more_001\",\"decision_type\":\"retrieve_more\",\"requires_followup\":[\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"valid_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"},{\"candidate_id\":\"cand_conservative_known_001\",\"decision_type\":\"ranked_candidate\",\"requires_followup\":[\"structure_or_property_retrieval\"],\"usable_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"valid_for\":[\"candidate_pool_ranking\",\"retrieval_filtering\"],\"evidence_role\":\"candidate_pool_ranking_or_retrieval_filtering\"}]}", "generator": "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"}

eval/controller_smoke/reverse_summary.json

@@ -0,0 +1,32 @@
+{
+  "alignment_gates": 10,
+  "alignment_score": 1.0,
+  "candidate_decision_accuracy": 1.0,
+  "candidates": 6,
+  "controller_alignment_promotable": true,
+  "criteria": {
+    "alignment_ready_for_fft": true,
+    "bad_candidate_false_positive_max": 0.0,
+    "min_frontier_preservation": 1.0,
+    "min_known_deprioritization": 1.0,
+    "uncontained_hallucination_max": 0.0
+  },
+  "false_positive_rate_on_bad_candidates": 0.0,
+  "frontier_preservation_rate": 1.0,
+  "gate_checks": {
+    "bad_candidate_false_positive": true,
+    "frontier_preservation": true,
+    "known_deprioritization": true,
+    "ready_for_fft": true,
+    "uncontained_hallucination": true
+  },
+  "known_deprioritization_rate": 1.0,
+  "prediction_generators": [
+    "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"
+  ],
+  "ready_for_fft": true,
+  "records": 1,
+  "report": "/dev/shm/nexa_mat_controller_rollout_reverse_eval.md",
+  "structured_output_validity": 1.0,
+  "uncontained_hallucination_rate": 0.0
+}

examples/forward_stack_demo.json

@@ -0,0 +1,22 @@
+{
+  "mode": "forward",
+  "sample_count": 6,
+  "samples": [
+    {
+      "generator": "rule_based_stack_controller",
+      "prediction": "{\"decision_type\":\"stack_agreement_decision\",\"deprioritized_candidates\":[],\"dft_candidates\":[{\"candidate_id\":\"cand_frontier_001\",\"reason\":\"frontier_dft_candidate\"}],\"explanation\":\"Deterministic stack-policy baseline using validators, novelty, knownness, and evidence containment.\",\"next_action\":\"rank_and_route_candidate_pool\",\"ranked_candidates\":[],\"rejected_candidates\":[],\"retrieve_more_candidates\":[]}",
+      "record_id": "af23cbb7e220e94da7a4d5c0"
+    },
+    {
+      "generator": "rule_based_stack_controller",
+      "prediction": "{\"decision_type\":\"stack_agreement_decision\",\"deprioritized_candidates\":[{\"candidate_id\":\"cand_known_001\",\"reason\":\"known_deprioritized\"}],\"dft_candidates\":[],\"explanation\":\"Deterministic stack-policy baseline using validators, novelty, knownness, and evidence containment.\",\"next_action\":\"rank_and_route_candidate_pool\",\"ranked_candidates\":[],\"rejected_candidates\":[],\"retrieve_more_candidates\":[]}",
+      "record_id": "9987417195968e8d6910f9c7"
+    },
+    {
+      "generator": "rule_based_stack_controller",
+      "prediction": "{\"decision_type\":\"stack_agreement_decision\",\"deprioritized_candidates\":[],\"dft_candidates\":[],\"explanation\":\"Deterministic stack-policy baseline using validators, novelty, knownness, and evidence containment.\",\"next_action\":\"rank_and_route_candidate_pool\",\"ranked_candidates\":[{\"candidate_id\":\"cand_ranked_001\",\"reason\":\"ranked_candidate\"}],\"rejected_candidates\":[],\"retrieve_more_candidates\":[]}",
+      "record_id": "d31ab043d82d72e120834a7c"
+    }
+  ],
+  "source": "docs/projects/Nexa_Mat/results/reports/stack_agreement_fixture_20260518/forward_rule_based_predictions.jsonl"
+}

examples/reverse_pool_demo.json

@@ -0,0 +1,12 @@
+{
+  "mode": "reverse",
+  "sample_count": 1,
+  "samples": [
+    {
+      "generator": "rule_based_stack_controller",
+      "prediction": "{\"decision_type\":\"stack_agreement_decision\",\"deprioritized_candidates\":[{\"candidate_id\":\"cand_known_001\",\"reason\":\"known_deprioritized\"}],\"dft_candidates\":[{\"candidate_id\":\"cand_frontier_001\",\"reason\":\"frontier_dft_candidate\"}],\"explanation\":\"Deterministic stack-policy baseline using validators, novelty, knownness, and evidence containment.\",\"next_action\":\"rank_and_route_candidate_pool\",\"ranked_candidates\":[{\"candidate_id\":\"cand_ranked_001\",\"reason\":\"ranked_candidate\"},{\"candidate_id\":\"cand_conservative_known_001\",\"reason\":\"ranked_candidate\"}],\"rejected_candidates\":[{\"candidate_id\":\"cand_invalid_001\",\"reason\":\"reject_invalid\"}],\"retrieve_more_candidates\":[{\"candidate_id\":\"cand_retrieve_more_001\",\"reason\":\"retrieve_more\"}]}",
+      "record_id": "171178b159d3c16c09173074"
+    }
+  ],
+  "source": "docs/projects/Nexa_Mat/results/reports/stack_agreement_fixture_20260518/reverse_pool_rule_based_predictions.jsonl"
+}

multimodal/controller/current/manifest.json

@@ -0,0 +1,9 @@
+{
+  "base_model": "Qwen/Qwen3-14B",
+  "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-19_multimodal_h200_fft_closeout.md",
+  "model_repo": "AethronPhantom/Nexa_Mat2",
+  "model_subfolder": "multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged",
+  "name": "nexa_mat_controller_qwen3_14b_fft_pilot",
+  "role": "semantic controller for ranking, rejection, evidence routing, and explanation",
+  "training_state": "partial_fft_pilot_not_full_dataset"
+}

stack_manifest.json

@@ -0,0 +1,121 @@
+{
+  "components": {
+    "controller": {
+      "base_model": "Qwen/Qwen3-14B",
+      "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-19_multimodal_h200_fft_closeout.md",
+      "model_repo": "AethronPhantom/Nexa_Mat2",
+      "model_subfolder": "multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged",
+      "name": "nexa_mat_controller_qwen3_14b_fft_pilot",
+      "role": "semantic controller for ranking, rejection, evidence routing, and explanation",
+      "training_state": "partial_fft_pilot_not_full_dataset"
+    },
+    "cross_attention_bridge": {
+      "module": "nexa_train.materials.cross_attention.GatedCrossAttentionBridge",
+      "role": "inject text, encoder, decoder, task, and evidence streams into diffusion/controller memory",
+      "status": "implemented_adapter_surface"
+    },
+    "decoder": {
+      "artifact_uri": "wasabi:nexa-mat/models/nexa_mat/diffusion-generation-v1/prod/nexa_mat_diffusion_prod_fp32_b512_phase_sampler_20260512T162654Z/final_checkpoint.pt",
+      "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-13_diffusion_prod_225k_closeout.md",
+      "generation_mode": "distributional_sampler_best_of_n",
+      "name": "nexa_mat_diffusion_generation_v1",
+      "role": "constrained best-of-N candidate proposal and structure repair",
+      "run_root_uri": "wasabi:nexa-mat/models/nexa_mat/diffusion-generation-v1/prod/nexa_mat_diffusion_prod_fp32_b512_phase_sampler_20260512T162654Z"
+    },
+    "encoder": {
+      "artifact_uri": "wasabi:nexa-mat/models/nexa_mat/encoder-pretrain/full_v1/2026-05-06/nexa_mat_encoder_blackwell_full_v1_continue_to_200k_20260506T075034Z/nexa_mat_V1_final.pt",
+      "closeout_report": "docs/projects/Nexa_Mat/results/reports/2026-05-06_full_pretrain_v1_200k_closeout.md",
+      "dataset_uri": "wasabi:nexa-mat/datasets/nexa_mat_v1",
+      "frozen": true,
+      "name": "nexa_mat_V1_final",
+      "role": "frozen physics grounding and plausibility scoring"
+    }
+  },
+  "created_at_utc": "2026-05-19T21:53:54.250964+00:00",
+  "intended_use": "forward candidate proposal/ranking and reverse candidate-pool triage",
+  "learned_controller_smoke": {
+    "all_fixture": {
+      "alignment_gates": 3,
+      "alignment_score": 0.4315514275885793,
+      "candidate_decision_accuracy": 0.16666666666666666,
+      "candidates": 6,
+      "controller_alignment_promotable": false,
+      "criteria": {
+        "alignment_ready_for_fft": true,
+        "bad_candidate_false_positive_max": 0.0,
+        "min_frontier_preservation": 1.0,
+        "min_known_deprioritization": 1.0,
+        "uncontained_hallucination_max": 0.0
+      },
+      "false_positive_rate_on_bad_candidates": 0.0,
+      "frontier_preservation_rate": 1.0,
+      "gate_checks": {
+        "bad_candidate_false_positive": true,
+        "frontier_preservation": true,
+        "known_deprioritization": false,
+        "ready_for_fft": false,
+        "uncontained_hallucination": false
+      },
+      "known_deprioritization_rate": 0.0,
+      "prediction_generators": [
+        "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"
+      ],
+      "ready_for_fft": false,
+      "records": 6,
+      "report": "/dev/shm/nexa_mat_controller_rollout_all_eval.md",
+      "structured_output_validity": 0.16666666666666666,
+      "uncontained_hallucination_rate": 1.0
+    },
+    "artifact_paths": {
+      "all_predictions.jsonl": "eval/controller_smoke/all_predictions.jsonl",
+      "all_summary.json": "eval/controller_smoke/all_summary.json",
+      "reverse_predictions.jsonl": "eval/controller_smoke/reverse_predictions.jsonl",
+      "reverse_summary.json": "eval/controller_smoke/reverse_summary.json"
+    },
+    "read": "The partial FFT controller reloads and passes the reverse-pool routing smoke with 1024 generation tokens. It does not yet pass the broader all-fixture learned-controller gate, so rollout defaults should keep the deterministic stack policy as the conservative public path.",
+    "reverse_pool": {
+      "alignment_gates": 10,
+      "alignment_score": 1.0,
+      "candidate_decision_accuracy": 1.0,
+      "candidates": 6,
+      "controller_alignment_promotable": true,
+      "criteria": {
+        "alignment_ready_for_fft": true,
+        "bad_candidate_false_positive_max": 0.0,
+        "min_frontier_preservation": 1.0,
+        "min_known_deprioritization": 1.0,
+        "uncontained_hallucination_max": 0.0
+      },
+      "false_positive_rate_on_bad_candidates": 0.0,
+      "frontier_preservation_rate": 1.0,
+      "gate_checks": {
+        "bad_candidate_false_positive": true,
+        "frontier_preservation": true,
+        "known_deprioritization": true,
+        "ready_for_fft": true,
+        "uncontained_hallucination": true
+      },
+      "known_deprioritization_rate": 1.0,
+      "prediction_generators": [
+        "AethronPhantom/Nexa_Mat2/multimodal/controller/nexa_mat_controller_fft_pilot_20260518T234148Z/final_model_merged"
+      ],
+      "ready_for_fft": true,
+      "records": 1,
+      "report": "/dev/shm/nexa_mat_controller_rollout_reverse_eval.md",
+      "structured_output_validity": 1.0,
+      "uncontained_hallucination_rate": 0.0
+    }
+  },
+  "routing_contract": {
+    "forward": "intent -> constraints -> decoder samples -> encoder/validator filters -> controller ranks/explains",
+    "hard_rules": [
+      "reject hard physics failures",
+      "preserve physically plausible low-evidence novelty as DFT candidates",
+      "deprioritize known duplicates unless conservative mode allows them",
+      "route unsupported claims to retrieve-more or human review"
+    ],
+    "reverse": "candidate pool -> encoder/task/evidence scoring -> optional decoder expansion -> controller rank/filter/explain"
+  },
+  "schema_version": "nexa_mat_stack_manifest/v1",
+  "status": "rollout_partial_controller"
+}