{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "sira-self-learning-rag", "status": "proposal_only", "records": [ {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.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:sira-self-learning-rag", "role:pack", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "pack", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "A collection of nouns and verbs for single-shot SIRA pack enrichment, RA-RFT structural analogy retrieval, MR-Search sub-2ms shim compilation and DGM-H verified proposals", "lets_workers": "Enrich Task Objects and Seed Packs offline with corpus-discriminative vocabulary, I/O signatures and predictive query expansions so multi-round exploratory search collapses into one single-shot retrieval, match structural problem isomorphisms across surface domains, compile execution-report reflections into sub-2ms deterministic edge shims and gate bounded DGM-H proposals through an independent verifier.", "flow": [{"verb": "sira-self-learning-rag.enrich-corpus-and-analogy-frames", "when": "Extract discriminative vocabulary, I/O type signatures, predictive query expansions and 12 structural isomorphism frames across the pack library."}, {"verb": "sira-self-learning-rag.compile-sub2ms-shim-rules", "when": "Reflect over prior Task execution reports (went_right, went_wrong, unknowns, latency and token burn) to emit deterministic < 2 ms routing and pruning rules."}, {"verb": "sira-self-learning-rag.verify-dgmh-proposal-independently", "when": "Check bounded DGM-H retrieval improvement proposals with a distinct verifier worker and key before owner review."}], "guardrails": [{"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.dgmh-proposer-never-verifies-own-patch", "version": 1, "value_sha256": "1fcfc8434f719e4bc173fc77b407e1cbc5f2623de5ec81a95bed3b01759b6646"}, {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.edge-shim-stays-deterministic-under-2ms", "version": 1, "value_sha256": "816cfc7095fffdd3d543ee29bc12f667cfc1d626d39252f0b4ddf079be8ea6b1"}, {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.never-mutate-holdout-or-evaluator-controls", "version": 1, "value_sha256": "480098da9e79d025474ae32c4ba4a673e6ad15bc06c805b6289f002fcdcd6b23"}], "tool": {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.tool.sira-rag", "version": 1, "value_sha256": "bd5d1e27dd8be079e61f609a8fc23d7b22dff9c96d581e9252367cc8058a81d2"}, "worked_example": "Synthetic 4-pack pharmacy cross-domain query bundle recomputed in test_sira_rag.py: baseline surface lexical search misses (audio-loudness-gate), single-shot SIRA + RA-RFT retrieves two-step-kit-review via independent-two-step-review isomorphism, compiles 1 deterministic shim rule, rejects self-verification and approves independent verification.", "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.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.guardrail.dgmh-proposer-never-verifies-own-patch", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.guardrail.edge-shim-stays-deterministic-under-2ms", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.guardrail.never-mutate-holdout-or-evaluator-controls", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.spec.sira-rartf-dgmh", "target_category": "noun.benchmark_suite", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.rules.isomorphism-and-shim-gates", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.tool.sira-rag", "target_category": "noun.code_node", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.template.sira-analogy-receipt", "target_category": "noun.scene_recipe", "note": ""}]}}, {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.dgmh-proposer-never-verifies-own-patch", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:sira-self-learning-rag", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Guardrail: DGM-H self-improvement proposals require an independent verifier worker and key", "category_reason": "Enforces separation of duties on self-learning RAG updates so no worker promotes its own retrieval or shim changes.", "rule": "Every DGM-H proposal requires verification by a worker whose worker_id and key_id both differ from the proposer before entering owner review.", "how_it_is_checked": "DgmHIndependentVerifier.verify_proposal returns status 409 and rejected whenever proposer_worker_id == verifier_worker_id or proposer_key_id == verifier_key_id.", "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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.edge-shim-stays-deterministic-under-2ms", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:sira-self-learning-rag", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Guardrail: compiled edge shim rules execute deterministically in under 2.0 milliseconds", "category_reason": "Keeps pre-inference routing, context pruning and guardrail injection negligible on the critical path.", "rule": "Compiled edge shim rules invoke zero neural models and evaluate in strictly less than 2.0 milliseconds per query.", "how_it_is_checked": "evaluate_shim records wall-clock latency_ms and DgmHIndependentVerifier rejects any rule >= 2.0 ms.", "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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.guardrail.never-mutate-holdout-or-evaluator-controls", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:sira-self-learning-rag", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Guardrail: retrieval enrichment and reflection never alter holdout queries or evaluator gates", "category_reason": "Prevents Goodhart reward hacking when reflecting over execution reports.", "rule": "Self-improvement proposals may update predictive query expansions and shim trigger terms only while mutates_evaluator_controls stays false and holdout_regressions == 0.", "how_it_is_checked": "DgmHIndependentVerifier checks mutates_evaluator_controls is false, holdout_regressions == 0 and holdout_mrr_delta > 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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.spec.sira-rartf-dgmh", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:sira-self-learning-rag", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Specification: SIRA offline enrichment, 12 RA-RFT isomorphism frames and 60-query benchmark", "category_reason": "Defines single-shot retrieval targets, structural frames and DGM-H verification fields.", "core_isomorphism_frames": ["split-sensitive-vs-public", "exclusive-lease-fencing", "independent-two-step-review", "cas-promotion", "zero-token-memoized-reuse"], "total_structural_frames": 12, "benchmark_query_count": 60, "target_search_rounds": 1.0, "shim_latency_ceiling_ms": 2.0, "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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.rules.isomorphism-and-shim-gates", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:sira-self-learning-rag", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Deterministic SIRA enrichment, RA-RFT hybrid fusion and DGM-H verification rules", "category_reason": "Zero-call indexing, scoring and verification rules for single-shot cross-domain Seed Pack retrieval.", "enrichment_stages": ["corpus-discriminative TF-IDF specificity extraction (df <= 40% of packs)", "slot/produces/verb_kind I/O type signature extraction", "offline concept-bridge predictive query expansion", "12-frame RA-RFT structural problem-isomorphism vectorization"], "dgm_h_checks": ["proposer_worker_id != verifier_worker_id", "proposer_key_id != verifier_key_id", "mutates_evaluator_controls == false", "visibility_scope == surface_only", "holdout_regressions == 0 and holdout_mrr_delta > 0", "measured_shim_latency_ms < 2.0"], "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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.tool.sira-rag", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:sira-self-learning-rag", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Tool card: SiraNounEnricher, RaRftAnalogyIndex, MR-Search shim compiler and DGM-H verifier", "category_reason": "Tested Python standard-library package pinned by path, file count and digest.", "name": "SIRA self-learning RAG", "code": {"path": "packs/sira-self-learning-rag/code", "files": 11, "sha256": "bce999668451dd279141719971a3417d497a62a9354ee82911ed8040cb64dcfc"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m sira_rag benchmark --packs-dir ../../.. --out BENCHMARK.json", "python -m sira_rag worked-example --input BUNDLE.json"], "does": ["Enriches Seed Packs and Task Objects offline with discriminative vocabulary, I/O signatures and predictive query expansions.", "Indexes 12 RA-RFT structural problem-isomorphism frames for single-shot cross-domain analogical retrieval.", "Compiles Task execution reports into < 2 ms deterministic shim rules and verifies bounded DGM-H proposals via an independent verifier."], "does_not": ["Allow self-approval of DGM-H proposals, mutate benchmark holdouts or exceed the 2.0 ms shim latency ceiling."], "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.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.spec.sira-rartf-dgmh", "target_category": "noun.benchmark_suite", "note": ""}]}}, {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.template.sira-analogy-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:sira-self-learning-rag", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Template: single-shot SIRA + RA-RFT retrieval, shim compilation and DGM-H verification receipt", "describes": "top-1 pack before and after SIRA + RA-RFT enrichment, compiled shim count and independent DGM-H verification verdicts", "schema": {"type": "object", "additionalProperties": false, "required": ["baseline_top1", "sira_rartf_top1", "compiled_shim_count", "self_verification_rejected", "distinct_verification_approved"], "properties": {"baseline_top1": {"type": "string", "minLength": 1}, "sira_rartf_top1": {"type": "string", "minLength": 1}, "compiled_shim_count": {"type": "integer", "minimum": 0}, "self_verification_rejected": {"type": "boolean"}, "distinct_verification_approved": {"type": "boolean"}}}, "example": {"baseline_top1": "audio-loudness-gate", "sira_rartf_top1": "two-step-kit-review", "compiled_shim_count": 1, "self_verification_rejected": true, "distinct_verification_approved": 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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.example.sira-analogy-bundle", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:sira-self-learning-rag", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Worked example input: cross-domain pharmacy separation-of-duties query across four synthetic Seed Packs", "category_reason": "Synthetic 4-pack analogical retrieval and DGM-H reflection bundle recomputed by test_sira_rag.py.", "query": "Hospital compounding pharmacy requires independent pharmacists from separate shifts so nobody signs off their own syringe batch", "structural_frames": ["independent-two-step-review"], "mini_packs": [{"pack_id": "budget-table-summary", "title": "Budget table summary", "summary": "A collection of nouns and verbs for summarizing city budget tables.", "nouns": [{"slug": "pack", "category": "noun.skill_pack", "role": "pack", "title": "Budget pack"}], "verbs": [{"slug": "summarize", "kind": "verb.situate", "title": "Summarize budget", "outcome": "Table"}]}, {"pack_id": "two-step-kit-review", "title": "Two-step kit review", "summary": "A collection of nouns and verbs for drafting and reviewing public-good kits.", "nouns": [{"slug": "guardrail.distinct", "category": "noun.skill_pack", "role": "guardrail", "title": "Guardrail: drafter cannot self-approve"}], "verbs": [{"slug": "review-kit", "kind": "verb.verify_gate", "review": "distinct_reviewer", "title": "Verify kit with distinct reviewer", "outcome": "Independent approval receipt"}]}, {"pack_id": "audio-loudness-gate", "title": "Audio loudness gate", "summary": "A collection of nouns and verbs for checking broadcast LUFS loudness.", "nouns": [{"slug": "spec", "category": "noun.benchmark_suite", "role": "spec", "title": "LUFS spec"}], "verbs": [{"slug": "check-lufs", "kind": "verb.verify_gate", "title": "Check LUFS", "outcome": "LUFS report"}]}, {"pack_id": "folder-hash-mover", "title": "Folder hash mover", "summary": "A collection of nouns and verbs for moving large folders safely by hash.", "nouns": [{"slug": "rules", "category": "noun.reflex_procedure", "role": "rules", "title": "Move rules"}], "verbs": [{"slug": "move", "kind": "verb.ingest", "title": "Move files", "outcome": "Hash manifest"}]}], "episodes": [{"episode_id": "EP-01", "query": "independent pharmacists separate shifts sign off separation of duties", "target_pack_id": "two-step-kit-review", "structural_frame": "independent-two-step-review", "baseline_rounds": 4, "exploratory_tokens": 2400, "single_shot_tokens": 410, "went_wrong": ["Surface title lacked pharmacy vocabulary; needed structural frame match."]}], "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "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.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.example.sira-analogy-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:sira-self-learning-rag", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "sira-self-learning-rag", "pack_version": "0.1.0", "title": "Worked example output: single-shot analogical retrieval lift and DGM-H distinct-verifier check", "category_reason": "Deterministic output conforming to template.sira-analogy-receipt.", "conforms_to": {"store": "seedpack.sira-self-learning-rag", "key": "sira-self-learning-rag.v0.1.0.template.sira-analogy-receipt", "version": 1, "value_sha256": "4a9bfda8e47effb5c87c6441c66bf23abc8e4d0d71001c6b31c9d440c748eb93"}, "instance": {"baseline_top1": "audio-loudness-gate", "sira_rartf_top1": "two-step-kit-review", "compiled_shim_count": 1, "self_verification_rejected": true, "distinct_verification_approved": true}, "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "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": "derives_from", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.example.sira-analogy-bundle", "target_category": "noun.eval_run", "note": ""}, {"relation": "verifies", "target_id": "seedpack.sira-self-learning-rag/sira-self-learning-rag.v0.1.0.template.sira-analogy-receipt", "target_category": "noun.scene_recipe", "note": ""}]}} ]}