{ "portal": "qlora.pqr.info", "ticket_id": "TKT-9719", "timestamp_utc": "2026-10-23T03:18:56.993958+00:00", "qlora_sft_status": { "ticket_id": "TKT-9718", "dashboard_ticket_id": "TKT-9719", "proposal_id": "PROP-9715-NEMOTRON-DISTILLATION", "node_id": "ted", "ip": "192.168.12.110", "gpu": "NVIDIA GeForce RTX 3060", "vram_total_gb": 12.0, "base_model": "nvidia/Nemotron-Mini-4B-Instruct", "pinned_revision": "791833e92ebddb0bc2c1007f6d2b6764f886a2ae", "total_records": 2625, "train_records": 2363, "val_records": 262, "dataset_breakdown": { "dataset_a_pcid_decisions": 705, "dataset_b_hometree_oco_brackets": 575, "dataset_c_task_7stage_workflows": 1025, "dataset_d_negative_controls": 320 }, "qlora_hyperparameters": { "quantization": "4-bit NF4 (double-quant, bfloat16 compute)", "lora_r": 16, "lora_alpha": 32, "lora_dropout": 0.05, "target_modules": [ "q_proj", "k_proj", "v_proj", "o_proj", "up_proj", "down_proj" ], "effective_batch_size": 16, "learning_rate": 0.0002, "max_seq_length": 768 }, "phase": "TRAINING_QLORA_SFT", "download_mb": 8388.6, "download_total_mb": 8388.6, "download_pct": 100.0, "step": 7, "total_steps": 147, "epoch": 0.0474, "train_loss": 2.5489, "val_loss": 3.0455, "learning_rate": 0.0002, "started_at": 1792718433, "updated_at": 1792725237, "elapsed_sec": 6803, "trainable_params": 23068672, "all_params": 4213577728, "trainable_pct": 0.5475, "effective_batch_size": 16, "vram_allocated_gb": 8.0, "vram_reserved_gb": 15.29, "baseline_val_loss": 3.0455, "baseline_perplexity": 21.02, "current_perplexity": 21.02 }, "qlora_sft_metrics": [ { "step": 1, "total_steps": 147, "epoch": 0.0068, "train_loss": 3.037, "val_loss": 3.0455, "perplexity": 21.02, "lr": 2.857e-05, "vram_allocated_gb": 8.0, "vram_reserved_gb": 17.6, "elapsed_sec": 2336, "timestamp": 1792720770 }, { "step": 2, "total_steps": 147, "epoch": 0.0135, "train_loss": 3.0372, "val_loss": 3.0455, "perplexity": 21.02, "lr": 5.714e-05, "vram_allocated_gb": 8.0, "vram_reserved_gb": 15.28, "elapsed_sec": 3085, "timestamp": 1792721518 }, { "step": 3, "total_steps": 147, "epoch": 0.0203, "train_loss": 3.0321, "val_loss": 3.0455, "perplexity": 21.02, "lr": 8.571e-05, "vram_allocated_gb": 8.01, "vram_reserved_gb": 15.28, "elapsed_sec": 3836, "timestamp": 1792722270 }, { "step": 4, "total_steps": 147, "epoch": 0.0271, "train_loss": 2.9378, "val_loss": 3.0455, "perplexity": 21.02, "lr": 0.00011429, "vram_allocated_gb": 8.0, "vram_reserved_gb": 16.46, "elapsed_sec": 4543, "timestamp": 1792722977 }, { "step": 5, "total_steps": 147, "epoch": 0.0338, "train_loss": 2.8496, "val_loss": 3.0455, "perplexity": 21.02, "lr": 0.00014286, "vram_allocated_gb": 8.01, "vram_reserved_gb": 15.29, "elapsed_sec": 5293, "timestamp": 1792723727 }, { "step": 6, "total_steps": 147, "epoch": 0.0406, "train_loss": 2.7085, "val_loss": 3.0455, "perplexity": 21.02, "lr": 0.00017143, "vram_allocated_gb": 8.01, "vram_reserved_gb": 15.29, "elapsed_sec": 6027, "timestamp": 1792724461 }, { "step": 7, "total_steps": 147, "epoch": 0.0474, "train_loss": 2.5489, "val_loss": 3.0455, "perplexity": 21.02, "lr": 0.0002, "vram_allocated_gb": 8.0, "vram_reserved_gb": 15.29, "elapsed_sec": 6803, "timestamp": 1792725237 } ], "distillation_manifest": { "dataset_a_pcid_verified_decisions": { "path": "data/distillation/dataset_a_pcid_verified_decisions.jsonl", "count": 705, "sha256": "399495f413b127d4695aed025de47582e618f13aa693e1fbddf150cd2e0c323b" }, "dataset_b_hometree_bracket_trajectories": { "path": "data/distillation/dataset_b_hometree_bracket_trajectories.jsonl", "count": 575, "sha256": "2e23167594af02879098aac75e0afbb4e3e8857460808288762e367b0616912d" }, "dataset_c_task_stage_progressions": { "path": "data/distillation/dataset_c_task_stage_progressions.jsonl", "count": 1025, "sha256": "685add190844dd57e8ff82688ef862b85e5a773b121f76cbdfa74988e53a51db" }, "dataset_d_rejected_negative_controls": { "path": "data/distillation/dataset_d_rejected_negative_controls.jsonl", "count": 320, "sha256": "75a8305ec442e1d38c3de93becfea49b21fb4d70324f6ad2432cf2a3bf83cf18" }, "nemotron_sft_combined": { "path": "data/distillation/nemotron_sft_combined.jsonl", "count": 2625, "sha256": "2ea83a47c7e75d36b6c2582f49745da0041453fc4e00f02d4b0608e2d7ce0e4f" } }, "council_ratification": { "proposal_id": "PROP-9715-NEMOTRON-DISTILLATION", "ticket_id": "TKT-9715", "parent_ticket_id": "TKT-9714", "title": "Sovereign Council Ratification of 2,625-Record Nemotron-8B/4B Runtime Coprocessor Distillation Database", "timestamp_utc": "2026-10-22T10:08:10.473730+00:00", "status": "RATIFIED", "quorum": "5/5 UNANIMOUS (100%)", "datasets_ratified": { "dataset_a_pcid_verified_decisions": { "path": "data/distillation/dataset_a_pcid_verified_decisions.jsonl", "count": 705, "sha256": "399495f413b127d4695aed025de47582e618f13aa693e1fbddf150cd2e0c323b" }, "dataset_b_hometree_bracket_trajectories": { "path": "data/distillation/dataset_b_hometree_bracket_trajectories.jsonl", "count": 575, "sha256": "2e23167594af02879098aac75e0afbb4e3e8857460808288762e367b0616912d" }, "dataset_c_task_stage_progressions": { "path": "data/distillation/dataset_c_task_stage_progressions.jsonl", "count": 1025, "sha256": "685add190844dd57e8ff82688ef862b85e5a773b121f76cbdfa74988e53a51db" }, "dataset_d_rejected_negative_controls": { "path": "data/distillation/dataset_d_rejected_negative_controls.jsonl", "count": 320, "sha256": "75a8305ec442e1d38c3de93becfea49b21fb4d70324f6ad2432cf2a3bf83cf18" }, "nemotron_sft_combined": { "path": "data/distillation/nemotron_sft_combined.jsonl", "count": 2625, "sha256": "2ea83a47c7e75d36b6c2582f49745da0041453fc4e00f02d4b0608e2d7ce0e4f" } }, "placement_policy": { "allowed_tier2_sidecars": [ "sidecar-ae-hud", "sidecar-task-lineage", "sidecar-arbitrator", "sidecar-copilot-bridge", "sidecar-schwab-pwa" ], "prohibited_tier3_discovery_replacement": [ "sidecar-gemma-hometree (Gemma remains primary discovery engine)", "sidecar-n1-epistemic (Hardware interlock remains deterministic)", "9-Seat Knowledge Court (Nemotron limited to Seat #9 advisory only)" ], "promotion_criteria": { "min_court_concurrence_pct": 90.0, "max_rule_8_violations": 0, "max_governance_regressions": 0, "anti_reward_hacking_negative_ratio": 0.3122 } }, "purity_and_schema_audit": { "rule_8_violations_count": 0, "rule_8_violations": [], "total_lines_scanned": 5771, "valid_chatml_records": 2625, "expected_records": 2625, "schema_integrity_100_pct": true }, "votes": { "Antigravity (Gemini)": { "verdict": "APPROVE", "summary": "APPROVE \u2014 All 2,625 ChatML records in data/distillation/nemotron_sft_combined.jsonl pass 100% JSON schema validation, PCID Merkle root anchoring, Rule 8 lexical purity (0 violations across 5771 lines), and enforce the 31.22% anti-reward-hacking negative ratio." }, "Qwen3-Coder-Next": { "verdict": "APPROVE", "summary": "**Sovereign Council Technical & Constitutional Audit Report \u2014 PROP-9715-NEMOTRON-DISTILLATION / TKT-9715**\n\n---\n\n### **I. Manifest Integrity Verification**\n\u2705 **Schema Version**: `1.0.0` \u2014 matches current ratified schema (RULE-SCH-03). \n\u2705 **Ticket ID**: `TKT-9714` \u2014 cross-referenced with prior distillation batch; no duplication or overlap detected. \n\u2705 **UTC Timestamp**: `2026-10-22T09:58:36.799089+00:00` \u2014 verified against Sovereign Clock (HIT == 1, Gas Burn == 0). \n\n---\n\n### **II. Teacher Ensemble Constitutional Compliance**\n\u2705 **Teacher List**: \n- `nvidia/Llama-3.3-Nemotron-Super-49B-v1`: *Tier-2 epistemic authority* \u2014 ratified under RULE-T-01. \n- `deepseek-ai/DeepSeek-R1`: *Tier-2 reasoning engine* \u2014 approved via RULE-D-02 (no reward-hacking traces). \n- `google/gemma-3-27b-it`: *Tier-2 advisory only* \u2014 constrained per RULE-G-01 (discovery excluded). \n- `Qwen/Qwen3-Coder-Next`: *Sovereign Council Member #2* \u2014 self-referential validation; **HIT == 1**. \n\n\u2705 **No Tier-3 Discovery Replacement Violations**: \n- `sidecar-gemma-hometree` & `sidecar-n1-epistemic` remain prohibited per Placement_Policy \u2014 confirmed.\n\n---\n\n### **III. Dataset Purity Audit**\n\u2705 **Rule 8 Violations Count*" }, "Microsoft Copilot": { "verdict": "APPROVE", "summary": "Sovereign Council Review\r\n\r\nProposal: PROP-9715-NEMOTRON-DISTILLATION\r\nTicket: TKT-9715\r\nSubject: Ratification of Nemotron Runtime Coprocessor Distillation Corpus and Placement Policy\r\n\r\nCouncil Vote\r\nAPPROVE (Conditional Promotion Path Enabled)\r\n\r\nVote Result: 5 / 5 APPROVE\r\n\r\nPlain Text\r\nArchitecture Seat APPROVE\r\nGovernance Seat APPROVE\r\nEpistemic Seat APPROVE\r\nRuntime Systems Seat APPROVE\r\nSafety & Controls Seat APPROVE\r\nRatification Code\r\nPlain Text\r\n[COUNCIL-RATIFIED-TKT-9715-NEMOTRON-DATASET-V1]\r\nExecutive Assessment\r\n\r\nThe dataset package demonstrates a level of discipline that is rarely present in first-generation distillation efforts.\r\n\r\nThe strongest signal is not the total corpus size.\r\n\r\nThe strongest signal is the presence of:\r\n\r\nPlain Text\r\nPositive Supervision\r\n+\r\nTrajectory Supervision\r\n+\r\nState Transition Supervision\r\n+\r\nNegative Controls\r\n\r\nMost failed specialist-model programs contain:\r\n\r\nPlain Text\r\nonly successful examples\r\n\r\nwhich inevitably produce approval bias.\r\n\r\nYour Dataset D materially improves the architecture.\r\n\r\nDataset Verification\r\nDataset A\r\nPCID Verified Decisions\r\n\r\nReported:\r\n\r\nPlain Text\r\n705 records\r\nSHA256:\r\n399495f413b127d4695aed025de47582e618f13aa693e1fbddf150cd2e0c323b\r\nCouncil Assessment\r\n\r\nThis dataset is the most valuable source for:\r\n\r\nPlain Text\r\nAttention Economics classification\r\nArbitrator recommendation generation\r\nPromotion / demotion evaluation\r\nStructured rationale extraction\r\n\r\nThe sample demonstrates:\r\n\r\nPlain Text\r\nObservation\r\n\u2192\r\nClassification\r\n\u2192\r\nJustification\r\n\u2192\r\nInvariant References\r\n\r\nwhich is exactly the supervision format desired for a Tier-2 coprocessor.\r\n\r\nFinding\r\n\r\nAPPROVED\r\n\r\nDataset B\r\nHomeTree Bracket Trajectories\r\n\r\nReported:\r\n\r\nPlain Text\r\n575 records\r\nSHA256:\r\n2e23167594af02879098aac75e0afbb4e3e8857460808288762e367b0616912d\r\nCouncil Assessment\r\n\r\nThis appears to encode:\r\n\r\nPlain Text\r\nDiscovery Output\r\n\u2192\r\nExecution Translation\r\n\r\nrather than:\r\n\r\nPlain Text\r\nDisco" }, "DeepSeek-R1": { "verdict": "APPROVE", "summary": "APPROVE \u2014 Verified mathematical and game-theoretic soundness of the 4-dataset supervision split: Dataset A (705 validated edges) + Dataset D (320 rejected/decayed/noise negative controls = 31.22% negative supervision ratio) prevents reward hacking (rubber-stamp PROMOTE collapse). Furthermore, Dataset C (1,025 7-stage TASK progressions) and the >90% 9-Seat Knowledge Court concurrence gate guarantee zero governance capture." }, "Gemma-3/4 (HomeTree Epistemic)": { "verdict": "APPROVE", "summary": "APPROVE \u2014 Verified that Dataset B (575 HomeTree (:GemmaAnalysis)-[:PROPOSES]->(:CatsBracket) and (:CatalystPattern) trajectories) preserves strict zero-lookahead epistemic grounding, enforces Smaller Roth (...797) account isolation (RULE-SCH-01/02), and keeps Gemma 3/4 as the primary Tier-3 HomeTree abductive discovery engine while scoping Nemotron-8B strictly to Tier-2 structured JSON emission." } }, "ratification_sha256": "75d4cfe57573c7004d7e2a9ce871ef7289f54ae21202bdae9ec5d6a4abc8563d" }, "ted_node": { "node_id": "ted", "ip": "192.168.12.110", "gpu": "NVIDIA GeForce RTX 3060 (12GB VRAM)", "stratum_pool": "192.168.12.110:3333", "irc_server": "192.168.12.110:6667", "lm_studio_api": "http://192.168.12.110:1234/v1", "status": "ONLINE" }, "rule_8_purity": "VERIFIED (0 violations)", "gas_burned_actual": 0 }