{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "self-rewarding-and-iterative-dpo-flywheel", "status": "proposal_only", "records": [ {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.pack", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:pack", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "pack", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "A collection of nouns and verbs for iterative RPO preference curation, rubric-judge calibration gating against deterministic verifiers and pre-registered holdout flywheel promotion", "lets_workers": "Curate (prompt, chosen_verified, rejected_tombstone) preference pairs using Iterative RPO scoring (DPO logistic loss plus per-token NLL_chosen regularization to prevent chosen log-probability collapse), filter length-ratio verbosity bias and 3-key structural duplicates, gate synthetic self-rewarding rubric pairs against deterministic verifiers via Cohen's kappa and false-positive caps, and evaluate generation rounds against pre-registered holdout SHA-256 locks.", "flow": [{"verb": "self-rewarding-and-iterative-dpo-flywheel.calibrate-rubric-judge-against-verifiers", "when": "Measure candidate self-rewarding rubric judge agreement (Cohen's kappa, exact agreement and false-positive approval rate) against deterministic verifiers before admitting synthetic pairs."}, {"verb": "self-rewarding-and-iterative-dpo-flywheel.curate-iterative-rpo-preference-pairs", "when": "Score verified and calibrated preference pairs with Iterative RPO (DPO margin + alpha * NLL_chosen), filter length-ratio bias and deduplicate across three structural keys."}, {"verb": "self-rewarding-and-iterative-dpo-flywheel.verify-preregistered-flywheel-promotion", "when": "Independently verify holdout SHA-256 locks, sanity retention bounds, regression caps, distinct reviewer identity and ZeroHardcodedValuesAstGate conformance."}], "guardrails": [{"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.block-uncalibrated-synthetic-rubric-pairs", "version": 1, "value_sha256": "7cb46a0edcc6becf59dc750a792ab8e46ba519b613cf9ee2015c7b54e24df548"}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.preregistered-holdout-lock-and-zero-magic-literals", "version": 1, "value_sha256": "9a8a38847ea3240ef297623357b91de674113fd803e2fc9c59165da601011cc7"}], "tool": {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.tool.iterative-rpo-flywheel", "version": 1, "value_sha256": "4be9841095679303522ff8e2f28440424fe39b339a5fdf7461a5beb724042130"}, "worked_example": "Synthetic rubric calibration, Iterative RPO pair curation and holdout promotion bundle recomputed in test_iterative_rpo_flywheel.py: approves calibrated judge (kappa 0.75, FPR 0.0) while blocking 100% of pairs from uncalibrated judge (kappa -0.2), rejects 1 length-biased pair, 1 chosen-logp-collapse trap and 1 3-key structural duplicate, curates 2 clean pairs (mean DPO margin 0.925, mean RPO loss 0.743994), and verifies SHA-256 holdout lock with +0.20 net gain and 0.0 regression rate.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.block-uncalibrated-synthetic-rubric-pairs", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.preregistered-holdout-lock-and-zero-magic-literals", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.spec.iterative-rpo-and-flywheel-grid", "target_category": "noun.benchmark_suite", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.rules.rpo-objective-and-calibration-gates", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.tool.iterative-rpo-flywheel", "target_category": "noun.code_node", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.template.iterative-rpo-flywheel-receipt", "target_category": "noun.scene_recipe", "note": ""}]}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.block-uncalibrated-synthetic-rubric-pairs", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Guardrail: synthetic self-rewarding preference pairs are blocked unless rubric judges pass deterministic verifier calibration", "category_reason": "Prevents self-reinforcing reward hacking and false-positive drift across iterative preference rounds.", "rule": "Admit synthetic rubric-judged preference pairs only when the rubric judge achieves cohens_kappa >= min_cohens_kappa, exact_agreement >= min_exact_agreement and false_positive_approval_rate <= max_false_positive_rate on deterministic ground-truth verifier checks.", "how_it_is_checked": "RubricJudgeCalibrationGate.gate_synthetic_pairs returns zero admitted synthetic pairs whenever any calibration threshold fails.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.guardrail.preregistered-holdout-lock-and-zero-magic-literals", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Guardrail: flywheel promotion requires exact holdout SHA-256 match, distinct reviewer and zero inline magic scalars", "category_reason": "Prevents holdout tampering, self-approval and hardcoded heuristic drift.", "rule": "Reject generation promotion if holdout SHA-256 differs from preregistered_holdout_sha256, proposer_id == reviewer_id, regression_rate > max_regression_rate or any operational module fails ZeroHardcodedValuesAstGate.", "how_it_is_checked": "PreRegisteredFlywheelPromoter.evaluate_round and scan_directory_for_hardcoded_values run deterministically during make check.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.spec.iterative-rpo-and-flywheel-grid", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Specification: IterativeRpoPairCurator, RubricJudgeCalibrationGate and PreRegisteredFlywheelPromoter invariants", "category_reason": "Defines Iterative RPO objective terms, 3-key deduplication, Cohen's kappa calibration and SHA-256 holdout promotion locks.", "components": ["IterativeRpoPairCurator", "RubricJudgeCalibrationGate", "PreRegisteredFlywheelPromoter"], "default_dpo_beta": 0.1, "default_rpo_nll_alpha": 1.0, "default_max_length_ratio": 1.8, "structural_dedup_keys": 3, "min_cohens_kappa": 0.75, "max_false_positive_rate": 0.05, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.rules.rpo-objective-and-calibration-gates", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Deterministic Iterative RPO scoring, 3-key structural deduplication and flywheel promotion gates", "category_reason": "Zero-model curation and calibration formulas for safe iterative preference optimization.", "rpo_loss_formula": "L_RPO = softplus(-beta * ((logp_pi(y_w) - logp_ref(y_w)) - (logp_pi(y_l) - logp_ref(y_l)))) + alpha * (-logp_pi(y_w) / |y_w|)", "dedup_keys": ["prompt_normalized_sha256", "chosen_structural_skeleton_sha256", "joint_transition_pair_sha256"], "promotion_checks": ["holdout_sha256 == preregistered_holdout_sha256", "proposer_id != reviewer_id", "sanity_retention_rate >= min_sanity_retention", "regression_rate <= max_regression_rate", "chosen_logp_drift_per_token >= min_chosen_logp_drift_per_token"], "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.tool.iterative-rpo-flywheel", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Tool card: standard-library Iterative RPO pair curator, rubric calibration gate and holdout flywheel promoter", "category_reason": "Tested Python 3.10+ standard-library package pinned by path, file count and SHA-256.", "name": "self-rewarding and iterative DPO flywheel", "code": {"path": "packs/self-rewarding-and-iterative-dpo-flywheel/code", "files": 12, "sha256": "e1da62b88a09486fd09380cbd2f67238f9f4f5c204a2df85f7f29fffb5658275"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m iterative_rpo_flywheel --bundle BUNDLE.json"], "does": ["Implements IterativeRpoPairCurator with DPO margin + alpha * NLL_chosen objective scoring, chosen log-probability collapse filtering, length-ratio bounds and 3-key structural deduplication.", "Implements RubricJudgeCalibrationGate computing Cohen's kappa, exact agreement and false-positive approval rates against deterministic verifiers.", "Implements PreRegisteredFlywheelPromoter enforcing holdout SHA-256 locks, sanity retention bounds, regression caps and distinct-reviewer separation."], "does_not": ["Perform network I/O, self-approve synthetic pairs without verifier calibration or inline hardcoded numeric thresholds."], "code_license": "MIT", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "verifies", "target_id": "seedpack.self-rewarding-and-iterative-dpo-flywheel/self-rewarding-and-iterative-dpo-flywheel.v0.1.0.spec.iterative-rpo-and-flywheel-grid", "target_category": "noun.benchmark_suite", "note": ""}]}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.template.iterative-rpo-flywheel-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Template: rubric judge calibration, Iterative RPO pair curation and holdout promotion receipt", "describes": "a deterministic receipt recording Cohen's kappa judge calibration, Iterative RPO pair filtering counts, margin/loss metrics and pre-registered holdout promotion status", "schema": {"type": "object", "additionalProperties": false, "required": ["calibrated_judge_kappa", "calibrated_judge_fpr", "calibrated_judge_passed", "uncalibrated_judge_kappa", "uncalibrated_synthetic_admitted", "admitted_pair_ids", "admitted_pair_count", "rejected_length_bias_count", "rejected_logp_collapse_count", "rejected_duplicate_count", "mean_dpo_margin", "mean_rpo_loss", "holdout_lock_valid", "net_holdout_gain", "regression_rate", "sanity_retention_rate", "promote_round"], "properties": {"calibrated_judge_kappa": {"type": "number", "minimum": -1.0, "maximum": 1.0}, "calibrated_judge_fpr": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "calibrated_judge_passed": {"type": "boolean"}, "uncalibrated_judge_kappa": {"type": "number", "minimum": -1.0, "maximum": 1.0}, "uncalibrated_synthetic_admitted": {"type": "integer", "minimum": 0}, "admitted_pair_ids": {"type": "array", "items": {"type": "string", "minLength": 1}}, "admitted_pair_count": {"type": "integer", "minimum": 0}, "rejected_length_bias_count": {"type": "integer", "minimum": 0}, "rejected_logp_collapse_count": {"type": "integer", "minimum": 0}, "rejected_duplicate_count": {"type": "integer", "minimum": 0}, "mean_dpo_margin": {"type": "number"}, "mean_rpo_loss": {"type": "number", "minimum": 0.0}, "holdout_lock_valid": {"type": "boolean"}, "net_holdout_gain": {"type": "number", "minimum": -1.0, "maximum": 1.0}, "regression_rate": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "sanity_retention_rate": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "promote_round": {"type": "boolean"}}}, "example": {"calibrated_judge_kappa": 0.75, "calibrated_judge_fpr": 0.0, "calibrated_judge_passed": true, "uncalibrated_judge_kappa": -0.2, "uncalibrated_synthetic_admitted": 0, "admitted_pair_ids": ["pair-synth-calibrated-1", "pair-rpo-clean-1"], "admitted_pair_count": 2, "rejected_length_bias_count": 1, "rejected_logp_collapse_count": 1, "rejected_duplicate_count": 1, "mean_dpo_margin": 0.925, "mean_rpo_loss": 0.743994, "holdout_lock_valid": true, "net_holdout_gain": 0.2, "regression_rate": 0.0, "sanity_retention_rate": 1.0, "promote_round": true}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}}, {"store": "seedpack.self-rewarding-and-iterative-dpo-flywheel", "key": "self-rewarding-and-iterative-dpo-flywheel.v0.1.0.example.iterative-rpo-flywheel-bundle", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:self-rewarding-and-iterative-dpo-flywheel", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "self-rewarding-and-iterative-dpo-flywheel", "pack_version": "0.1.0", "title": "Worked example input: calibrated vs uncalibrated rubric judges, RPO candidate pairs and SHA-256 locked holdout suite", "category_reason": "Synthetic fixture recomputed by test_iterative_rpo_flywheel.py.", "calibrated_judge_records": [{"case_id": "c-01", "rubric_approved": true, "verifier_passed": true}, {"case_id": "c-02", "rubric_approved": true, "verifier_passed": true}, {"case_id": "c-03", "rubric_approved": true, "verifier_passed": true}, {"case_id": "c-04", "rubric_approved": true, "verifier_passed": true}, {"case_id": "c-05", "rubric_approved": false, "verifier_passed": false}, {"case_id": "c-06", "rubric_approved": false, "verifier_passed": false}, {"case_id": "c-07", "rubric_approved": false, "verifier_passed": false}, {"case_id": "c-08", "rubric_approved": false, "verifier_passed": true}], "uncalibrated_judge_records": [{"case_id": "u-01", "rubric_approved": true, "verifier_passed": true}, {"case_id": "u-02", "rubric_approved": true, "verifier_passed": false}, {"case_id": "u-03", "rubric_approved": true, "verifier_passed": false}, {"case_id": "u-04", "rubric_approved": false, "verifier_passed": true}, {"case_id": "u-05", "rubric_approved": false, "verifier_passed": false}, {"case_id": "u-06", "rubric_approved": true, "verifier_passed": false}], "verified_candidates": [{"pair_id": "pair-rpo-clean-1", "prompt": "Validate fencing token monotonicity before committing record state", "chosen_verified": "Check expected_version equals current_version and increment fencing token atomically", "rejected_tombstone": "Overwrite record value directly without checking current_version or fencing token", "policy_logp_chosen": -4.2, "ref_logp_chosen": -4.6, "policy_logp_rejected": -14.8, "ref_logp_rejected": -6.0, "chosen_token_count": 10, "rejected_token_count": 10, "chosen_verified_pass": true, "rejected_tombstone_fail": true}, {"pair_id": "pair-collapse-trap", "prompt": "Enforce strict schema keys on serialized configuration envelopes", "chosen_verified": "Reject unknown envelope properties before executing downstream steps", "rejected_tombstone": "Ignore extra unknown keys silently during deserialization", "policy_logp_chosen": -12.5, "ref_logp_chosen": -4.0, "policy_logp_rejected": -32.0, "ref_logp_rejected": -5.5, "chosen_token_count": 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