Datasets:

PureOne
/

Eidrion

{
  "project": "EIDRION",
  "title": "Functional Memory and Certified Continual Learning",
  "version": "1.0.0",
  "date": "2026-10-08",
  "authorship": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki",
  "lineage": "Avenyra H-OSP v3.0.0 and supplied related research",
  "renaming": {
    "development_identifier": "avenyra_omega",
    "core_unchanged": true,
    "public_api": "eidrion",
    "scientific_results_unchanged": true
  },
  "overall": "COMPLETE_SCOPED_RESEARCH_RELEASE; GENERAL_BREAKTHROUGH_NOT_DEMONSTRATED",
  "publication": {
    "uploaded": false,
    "public_repository": null,
    "doi": null
  },
  "status_definitions": {
    "PROVED": "Supplied derivation under assumptions; not formally machine-checked or novelty-certified",
    "NUMERICALLY VERIFIED": "Executed finite checks or calculations",
    "EXPERIMENTALLY OBSERVED": "Measured under the identified locked protocol",
    "CONDITIONAL": "Operational premises remain required",
    "UNVERIFIED": "No achieved result in this release",
    "DISPROVED": "Specific stated claim defeated by supplied counterexample or observation"
  },
  "counts": {
    "new_standard_runs": 260,
    "new_structural_runs": 96,
    "inherited_reproduced_runs": 66,
    "grouped_core_checks_passed": 39,
    "final_prediction_npz_audited": 2860,
    "final_controller_checkpoints_audited": 800,
    "final_contract_binding_checks": 7136,
    "final_aggregate_values_audited": 1561,
    "pretrained_benchmark_runs": 0
  },
  "completion_estimates": {
    "mathematical_conditional_program_percent": 80,
    "scoped_research_implementation_percent": 90,
    "requested_five_level_evaluation_breadth_percent": 40,
    "modern_model_scalability_readiness_percent": 20,
    "interpretation": "Subjective scope/readiness estimates; not correctness/novelty probabilities or percent of catastrophic forgetting solved"
  },
  "competitiveness": {
    "new_certified_mean_accuracy_wins": 0,
    "tested_standard_datasets": 2,
    "world_leading_demonstrated": false
  },
  "impact_judgments": {
    "demonstrated_1_to_10": 4,
    "potential_1_to_10": 6,
    "interpretation": "Subjective research assessments, not calibrated forecasts"
  },
  "claims": [
    {
      "id": "nested_prefix",
      "status": "PROVED",
      "claim": "Nested orthogonal centers recover every older center projection and make innovation energy a prefix difference.",
      "evidence": [
        "manuscript/02_nested_memory.txt",
        "theory/nested_operator_risk_ledger.md"
      ],
      "assumptions": "Exact Hilbert geometry, nested spans, center membership, orthogonal increments.",
      "lineage": "This release"
    },
    {
      "id": "all_future_population",
      "status": "PROVED",
      "claim": "One independently calibrated fixed signed-margin score bounds the probability of ever disagreeing with an acquisition reference under all future admitted updates.",
      "evidence": [
        "manuscript/02_nested_memory.txt"
      ],
      "assumptions": "Fixed output universe/feature geometry/reference score; conditionally IID class evidence; strict energy/radius inequality; numerical premises.",
      "lineage": "New synthesis under review; classical Hilbert projection and Wilks tolerance limits; historical priority unverified"
    },
    {
      "id": "operational_certification",
      "status": "CONDITIONAL",
      "claim": "Population interpretation of executed certificates remains conditional; diagnostic floating-point checks are not a global interval proof.",
      "evidence": [
        "manuscript/03_stability_and_alternatives.txt",
        "src/avenyra_omega/memory.py"
      ],
      "assumptions": "Valid source provenance, calibration independence, unchanged class laws and preprocessing, bounded accumulated numerical error.",
      "lineage": "This release"
    },
    {
      "id": "full_raw_response",
      "status": "PROVED",
      "claim": "At positive power and radius, the bounded radial output map preserves rank of the complete centered raw-network Jacobian, including hidden layers.",
      "evidence": [
        "manuscript/02_nested_memory.txt"
      ],
      "assumptions": "Finite raw output; positive power/radius; excludes the softmax-common shift. No full-rank or optimization-success assertion.",
      "lineage": "This release"
    },
    {
      "id": "finite_update",
      "status": "PROVED",
      "claim": "The pointwise bounded residual envelope applies to arbitrary finite raw-network updates or restarts without a tangent approximation.",
      "evidence": [
        "manuscript/02_nested_memory.txt"
      ],
      "assumptions": "Every accepted state satisfies the fixed external memory/radius contract.",
      "lineage": "This release"
    },
    {
      "id": "capacity_gram",
      "status": "PROVED",
      "claim": "In the stated linear/Hilbert read model, feasible target responses are exactly the residual Gram range and their minimum energy is a pseudoinverse quadratic form.",
      "evidence": [
        "manuscript/02_nested_memory.txt",
        "manuscript/04_evidence_capacity.txt"
      ],
      "assumptions": "Fixed positive metric and linear read/control model; explicit range test.",
      "lineage": "Classical/inherited Gated DeltaNet-Omega and H-OSP"
    },
    {
      "id": "minimal_span",
      "status": "PROVED",
      "claim": "An orthogonal center innovation requires exactly rank(delta) additional protected directions; centered logits imply rank at most C-1.",
      "evidence": [
        "manuscript/02_nested_memory.txt"
      ],
      "assumptions": "Fixed finite feature representation; no global neural expansion optimum.",
      "lineage": "This release"
    },
    {
      "id": "query_closure",
      "status": "PROVED",
      "claim": "A finite linear memory is sufficient for a declared query exactly when its kernel is contained in the query kernel on admissible states.",
      "evidence": [
        "manuscript/03_stability_and_alternatives.txt"
      ],
      "assumptions": "Declared linear state/query family.",
      "lineage": "Classical factorization; supplied AXIOMESH lineage"
    },
    {
      "id": "gaussian_allocation",
      "status": "PROVED",
      "claim": "Top query-weighted eigenmodes of unresolved conditional covariance give optimal noiseless rank-k linear evidence in the specified Gaussian model.",
      "evidence": [
        "manuscript/04_evidence_capacity.txt",
        "theory/evidence_capacity_closure.md"
      ],
      "assumptions": "Known Gaussian conditional covariance; side evidence truly available; fixed query/cost/information pattern; noiseless real-valued measurements.",
      "lineage": "Classical Gaussian conditioning/Ky Fan; supplied TMM motivation"
    },
    {
      "id": "immutable_regions",
      "status": "PROVED",
      "claim": "Immutable calibrated correct regions give a fixed all-future class-correct set under chronological ownership.",
      "evidence": [
        "manuscript/03_stability_and_alternatives.txt"
      ],
      "assumptions": "Independent labeled class evidence, unchanged region features/routing, paid failed attempts.",
      "lineage": "Classical tolerance statistics; this release operational construction"
    },
    {
      "id": "fresh_renewal",
      "status": "PROVED",
      "claim": "Every accepted checkpoint has declared class risk on a simultaneous confidence event when all fresh tests and failed attempts are charged.",
      "evidence": [
        "manuscript/03_stability_and_alternatives.txt"
      ],
      "assumptions": "Fresh conditionally IID unused evidence; fixed candidate before evidence; unchanged class laws.",
      "lineage": "Classical binomial testing; supplied COVARA renewal discipline"
    },
    {
      "id": "renewal_ever_error",
      "status": "DISPROVED",
      "claim": "Per-checkpoint error at most beta does not imply probability of ever erring at most beta.",
      "evidence": [
        "prior_art/audit_omega_renewal.py"
      ],
      "assumptions": "Counterexample: disjoint error sets across checkpoints.",
      "lineage": "This release"
    },
    {
      "id": "finite_anchor_unrestricted",
      "status": "DISPROVED",
      "claim": "Finite anchor preservation alone certifies unrestricted whole-domain neural behavior.",
      "evidence": [
        "verification/verify_core.py",
        "manuscript/04_evidence_capacity.txt"
      ],
      "assumptions": "Explicit ReLU bump outside retained anchors.",
      "lineage": "This release"
    },
    {
      "id": "current_center_compression",
      "status": "DISPROVED",
      "claim": "Preserving the current center alone makes deletion of independent protected directions safe for every future write.",
      "evidence": [
        "verification/verify_core.py",
        "manuscript/03_stability_and_alternatives.txt"
      ],
      "assumptions": "Explicit two-dimensional lost-closure counterexample.",
      "lineage": "This release"
    },
    {
      "id": "zero_gradient_exhaustion",
      "status": "DISPROVED",
      "claim": "A zero local projected gradient proves no finite safe nonlinear response exists.",
      "evidence": [
        "verification/verify_core.py"
      ],
      "assumptions": "Multiplicative zero-factor counterexample; finite safe restart exists but discovery is not guaranteed.",
      "lineage": "This release"
    },
    {
      "id": "unrestricted_bounded_memory",
      "status": "DISPROVED",
      "claim": "A bounded-bit learner can retain arbitrary independent old answers forever and satisfy contradictory context-free tasks.",
      "evidence": [
        "manuscript/04_evidence_capacity.txt"
      ],
      "assumptions": "Counting and overlapping-label counterexamples.",
      "lineage": "This release"
    },
    {
      "id": "core_checks",
      "status": "NUMERICALLY VERIFIED",
      "claim": "All 39 grouped root and independent core/region/renewal verification checks passed.",
      "evidence": [
        "verification/core_verification.json",
        "prior_art/core_audit_final.json",
        "prior_art/regions_audit_final.json",
        "prior_art/renewal_audit_final.json"
      ],
      "assumptions": "Finite fixtures, exact calculations and numerical checks; no proof assistant.",
      "lineage": "This release"
    },
    {
      "id": "standard_runs",
      "status": "EXPERIMENTALLY OBSERVED",
      "claim": "260 of 260 locked MNIST/Fashion-MNIST runs completed; no new certified method has the best mean final accuracy.",
      "evidence": [
        "experiments/final_standard/aggregate_results.json",
        "experiments/FINAL_RESULTS.md"
      ],
      "assumptions": "13methods,10pairedseeds,2datasets,5arrivals,6MiBcontinualpayload; explicitjointreferenceexception.",
      "lineage": "This release"
    },
    {
      "id": "standard_audit",
      "status": "NUMERICALLY VERIFIED",
      "claim": "260 runs, 2860 NPZs, 800 controller checkpoints and 7136 binding checks passed independent audit; 1561 aggregate values matched.",
      "evidence": [
        "prior_art/final_predictions_complete.json",
        "prior_art/final_contracts_complete.json",
        "prior_art/final_aggregation_complete.json"
      ],
      "assumptions": "",
      "lineage": "This release"
    },
    {
      "id": "structured_regime",
      "status": "EXPERIMENTALLY OBSERVED",
      "claim": "The scalar certificate succeeds at low structural noise but blocks acquisition at moderate/high noise; cumulative ridge solves all tested regimes.",
      "evidence": [
        "experiments/structured_stream/results/summary.json",
        "experiments/structured_stream/saved_result_audit.json"
      ],
      "assumptions": "96runs,8seeds,4noiselevels,3methods;nohiddenrotation/supportgivenlearner.",
      "lineage": "This release"
    },
    {
      "id": "inherited_reproduction",
      "status": "NUMERICALLY VERIFIED",
      "claim": "The inherited H-OSP capture reproduces all66runs,825arrays and5577savedstates.",
      "evidence": [
        "verification/inherited_v3_fresh/reproduction_summary.json"
      ],
      "assumptions": "Original support-informed small synthetic protocol.",
      "lineage": "Inherited H-OSP v3.0.0"
    },
    {
      "id": "all_layer_example",
      "status": "NUMERICALLY VERIFIED",
      "claim": "All raw layers train and model/optimizer/checkpoint resume matches in the generated-data example.",
      "evidence": [
        "examples/quickstart_result/report.json"
      ],
      "assumptions": "Toy API example, not new-task heldout benchmark.",
      "lineage": "This release"
    },
    {
      "id": "extensions",
      "status": "NUMERICALLY VERIFIED",
      "claim": "Generic feature-stream and three-depth LoRA paths passed generated-array engineering checks.",
      "evidence": [
        "extensions/extension_manifest.json",
        "extensions/README.md"
      ],
      "assumptions": "No actual pretrained extraction or large benchmark performed.",
      "lineage": "This release"
    },
    {
      "id": "modern_scale",
      "status": "UNVERIFIED",
      "claim": "General transformer, pretrained model, GPU/distributed, CIFAR100 and full PermutedMNIST competitiveness.",
      "evidence": [
        "extensions/README.md"
      ],
      "assumptions": "Scripts supplied; benchmark results unrun.",
      "lineage": "This release"
    },
    {
      "id": "novelty_priority",
      "status": "UNVERIFIED",
      "claim": "Historical priority for the shared-center / prefix-energy / discarded-reference all-future certificate synthesis.",
      "evidence": [
        "prior_art/final_reference_audit.md",
        "prior_art/candidate_and_baseline_audit.md",
        "manuscript/08_implementation_cost_prior_art.txt"
      ],
      "assumptions": "Bounded primary-source audit, not exhaustive priority search or peer review.",
      "lineage": "This release"
    },
    {
      "id": "global_neural_capacity",
      "status": "UNVERIFIED",
      "claim": "A globally optimal nonlinear safe expansion, representation migration and memory allocation policy for unrestricted future tasks.",
      "evidence": [
        "manuscript/09_verification_and_research_map.txt"
      ],
      "assumptions": "",
      "lineage": "This release"
    },
    {
      "id": "numeric_unbounded_stream",
      "status": "UNVERIFIED",
      "claim": "A complete deployable interval-certified long-horizon implementation for arbitrary hardware and indefinite task streams.",
      "evidence": [
        "manuscript/03_stability_and_alternatives.txt"
      ],
      "assumptions": "",
      "lineage": "This release"
    }
  ],
  "source_lock_sha256": "af4ac3635681ac02faa2b36181830f45654c3f9549601258e2fe4aa879308825",
  "primary_results": "experiments/final_standard/aggregate_results.json"
}

	{
	"project": "EIDRION",
	"title": "Functional Memory and Certified Continual Learning",
	"version": "1.0.0",
	"date": "2026-10-08",
	"authorship": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki",
	"lineage": "Avenyra H-OSP v3.0.0 and supplied related research",
	"renaming": {
	"development_identifier": "avenyra_omega",
	"core_unchanged": true,
	"public_api": "eidrion",
	"scientific_results_unchanged": true
	},
	"overall": "COMPLETE_SCOPED_RESEARCH_RELEASE; GENERAL_BREAKTHROUGH_NOT_DEMONSTRATED",
	"publication": {
	"uploaded": false,
	"public_repository": null,
	"doi": null
	},
	"status_definitions": {
	"PROVED": "Supplied derivation under assumptions; not formally machine-checked or novelty-certified",
	"NUMERICALLY VERIFIED": "Executed finite checks or calculations",
	"EXPERIMENTALLY OBSERVED": "Measured under the identified locked protocol",
	"CONDITIONAL": "Operational premises remain required",
	"UNVERIFIED": "No achieved result in this release",
	"DISPROVED": "Specific stated claim defeated by supplied counterexample or observation"
	},
	"counts": {
	"new_standard_runs": 260,
	"new_structural_runs": 96,
	"inherited_reproduced_runs": 66,
	"grouped_core_checks_passed": 39,
	"final_prediction_npz_audited": 2860,
	"final_controller_checkpoints_audited": 800,
	"final_contract_binding_checks": 7136,
	"final_aggregate_values_audited": 1561,
	"pretrained_benchmark_runs": 0
	},
	"completion_estimates": {
	"mathematical_conditional_program_percent": 80,
	"scoped_research_implementation_percent": 90,
	"requested_five_level_evaluation_breadth_percent": 40,
	"modern_model_scalability_readiness_percent": 20,
	"interpretation": "Subjective scope/readiness estimates; not correctness/novelty probabilities or percent of catastrophic forgetting solved"
	},
	"competitiveness": {
	"new_certified_mean_accuracy_wins": 0,
	"tested_standard_datasets": 2,
	"world_leading_demonstrated": false
	},
	"impact_judgments": {
	"demonstrated_1_to_10": 4,
	"potential_1_to_10": 6,
	"interpretation": "Subjective research assessments, not calibrated forecasts"
	},
	"claims": [
	{
	"id": "nested_prefix",
	"status": "PROVED",
	"claim": "Nested orthogonal centers recover every older center projection and make innovation energy a prefix difference.",
	"evidence": [
	"manuscript/02_nested_memory.txt",
	"theory/nested_operator_risk_ledger.md"
	],
	"assumptions": "Exact Hilbert geometry, nested spans, center membership, orthogonal increments.",
	"lineage": "This release"
	},
	{
	"id": "all_future_population",
	"status": "PROVED",
	"claim": "One independently calibrated fixed signed-margin score bounds the probability of ever disagreeing with an acquisition reference under all future admitted updates.",
	"evidence": [
	"manuscript/02_nested_memory.txt"
	],
	"assumptions": "Fixed output universe/feature geometry/reference score; conditionally IID class evidence; strict energy/radius inequality; numerical premises.",
	"lineage": "New synthesis under review; classical Hilbert projection and Wilks tolerance limits; historical priority unverified"
	},
	{
	"id": "operational_certification",
	"status": "CONDITIONAL",
	"claim": "Population interpretation of executed certificates remains conditional; diagnostic floating-point checks are not a global interval proof.",
	"evidence": [
	"manuscript/03_stability_and_alternatives.txt",
	"src/avenyra_omega/memory.py"
	],
	"assumptions": "Valid source provenance, calibration independence, unchanged class laws and preprocessing, bounded accumulated numerical error.",
	"lineage": "This release"
	},
	{
	"id": "full_raw_response",
	"status": "PROVED",
	"claim": "At positive power and radius, the bounded radial output map preserves rank of the complete centered raw-network Jacobian, including hidden layers.",
	"evidence": [
	"manuscript/02_nested_memory.txt"
	],
	"assumptions": "Finite raw output; positive power/radius; excludes the softmax-common shift. No full-rank or optimization-success assertion.",
	"lineage": "This release"
	},
	{
	"id": "finite_update",
	"status": "PROVED",
	"claim": "The pointwise bounded residual envelope applies to arbitrary finite raw-network updates or restarts without a tangent approximation.",
	"evidence": [
	"manuscript/02_nested_memory.txt"
	],
	"assumptions": "Every accepted state satisfies the fixed external memory/radius contract.",
	"lineage": "This release"
	},
	{
	"id": "capacity_gram",
	"status": "PROVED",
	"claim": "In the stated linear/Hilbert read model, feasible target responses are exactly the residual Gram range and their minimum energy is a pseudoinverse quadratic form.",
	"evidence": [
	"manuscript/02_nested_memory.txt",
	"manuscript/04_evidence_capacity.txt"
	],
	"assumptions": "Fixed positive metric and linear read/control model; explicit range test.",
	"lineage": "Classical/inherited Gated DeltaNet-Omega and H-OSP"
	},
	{
	"id": "minimal_span",
	"status": "PROVED",
	"claim": "An orthogonal center innovation requires exactly rank(delta) additional protected directions; centered logits imply rank at most C-1.",
	"evidence": [
	"manuscript/02_nested_memory.txt"
	],
	"assumptions": "Fixed finite feature representation; no global neural expansion optimum.",
	"lineage": "This release"
	},
	{
	"id": "query_closure",
	"status": "PROVED",
	"claim": "A finite linear memory is sufficient for a declared query exactly when its kernel is contained in the query kernel on admissible states.",
	"evidence": [
	"manuscript/03_stability_and_alternatives.txt"
	],
	"assumptions": "Declared linear state/query family.",
	"lineage": "Classical factorization; supplied AXIOMESH lineage"
	},
	{
	"id": "gaussian_allocation",
	"status": "PROVED",
	"claim": "Top query-weighted eigenmodes of unresolved conditional covariance give optimal noiseless rank-k linear evidence in the specified Gaussian model.",
	"evidence": [
	"manuscript/04_evidence_capacity.txt",
	"theory/evidence_capacity_closure.md"
	],
	"assumptions": "Known Gaussian conditional covariance; side evidence truly available; fixed query/cost/information pattern; noiseless real-valued measurements.",
	"lineage": "Classical Gaussian conditioning/Ky Fan; supplied TMM motivation"
	},
	{
	"id": "immutable_regions",
	"status": "PROVED",
	"claim": "Immutable calibrated correct regions give a fixed all-future class-correct set under chronological ownership.",
	"evidence": [
	"manuscript/03_stability_and_alternatives.txt"
	],
	"assumptions": "Independent labeled class evidence, unchanged region features/routing, paid failed attempts.",
	"lineage": "Classical tolerance statistics; this release operational construction"
	},
	{
	"id": "fresh_renewal",
	"status": "PROVED",
	"claim": "Every accepted checkpoint has declared class risk on a simultaneous confidence event when all fresh tests and failed attempts are charged.",
	"evidence": [
	"manuscript/03_stability_and_alternatives.txt"
	],
	"assumptions": "Fresh conditionally IID unused evidence; fixed candidate before evidence; unchanged class laws.",
	"lineage": "Classical binomial testing; supplied COVARA renewal discipline"
	},
	{
	"id": "renewal_ever_error",
	"status": "DISPROVED",
	"claim": "Per-checkpoint error at most beta does not imply probability of ever erring at most beta.",
	"evidence": [
	"prior_art/audit_omega_renewal.py"
	],
	"assumptions": "Counterexample: disjoint error sets across checkpoints.",
	"lineage": "This release"
	},
	{
	"id": "finite_anchor_unrestricted",
	"status": "DISPROVED",
	"claim": "Finite anchor preservation alone certifies unrestricted whole-domain neural behavior.",
	"evidence": [
	"verification/verify_core.py",
	"manuscript/04_evidence_capacity.txt"
	],
	"assumptions": "Explicit ReLU bump outside retained anchors.",
	"lineage": "This release"
	},
	{
	"id": "current_center_compression",
	"status": "DISPROVED",
	"claim": "Preserving the current center alone makes deletion of independent protected directions safe for every future write.",
	"evidence": [
	"verification/verify_core.py",
	"manuscript/03_stability_and_alternatives.txt"
	],
	"assumptions": "Explicit two-dimensional lost-closure counterexample.",
	"lineage": "This release"
	},
	{
	"id": "zero_gradient_exhaustion",
	"status": "DISPROVED",
	"claim": "A zero local projected gradient proves no finite safe nonlinear response exists.",
	"evidence": [
	"verification/verify_core.py"
	],
	"assumptions": "Multiplicative zero-factor counterexample; finite safe restart exists but discovery is not guaranteed.",
	"lineage": "This release"
	},
	{
	"id": "unrestricted_bounded_memory",
	"status": "DISPROVED",
	"claim": "A bounded-bit learner can retain arbitrary independent old answers forever and satisfy contradictory context-free tasks.",
	"evidence": [
	"manuscript/04_evidence_capacity.txt"
	],
	"assumptions": "Counting and overlapping-label counterexamples.",
	"lineage": "This release"
	},
	{
	"id": "core_checks",
	"status": "NUMERICALLY VERIFIED",
	"claim": "All 39 grouped root and independent core/region/renewal verification checks passed.",
	"evidence": [
	"verification/core_verification.json",
	"prior_art/core_audit_final.json",
	"prior_art/regions_audit_final.json",
	"prior_art/renewal_audit_final.json"
	],
	"assumptions": "Finite fixtures, exact calculations and numerical checks; no proof assistant.",
	"lineage": "This release"
	},
	{
	"id": "standard_runs",
	"status": "EXPERIMENTALLY OBSERVED",
	"claim": "260 of 260 locked MNIST/Fashion-MNIST runs completed; no new certified method has the best mean final accuracy.",
	"evidence": [
	"experiments/final_standard/aggregate_results.json",
	"experiments/FINAL_RESULTS.md"
	],
	"assumptions": "13methods,10pairedseeds,2datasets,5arrivals,6MiBcontinualpayload; explicitjointreferenceexception.",
	"lineage": "This release"
	},
	{
	"id": "standard_audit",
	"status": "NUMERICALLY VERIFIED",
	"claim": "260 runs, 2860 NPZs, 800 controller checkpoints and 7136 binding checks passed independent audit; 1561 aggregate values matched.",
	"evidence": [
	"prior_art/final_predictions_complete.json",
	"prior_art/final_contracts_complete.json",
	"prior_art/final_aggregation_complete.json"
	],
	"assumptions": "",
	"lineage": "This release"
	},
	{
	"id": "structured_regime",
	"status": "EXPERIMENTALLY OBSERVED",
	"claim": "The scalar certificate succeeds at low structural noise but blocks acquisition at moderate/high noise; cumulative ridge solves all tested regimes.",
	"evidence": [
	"experiments/structured_stream/results/summary.json",
	"experiments/structured_stream/saved_result_audit.json"
	],
	"assumptions": "96runs,8seeds,4noiselevels,3methods;nohiddenrotation/supportgivenlearner.",
	"lineage": "This release"
	},
	{
	"id": "inherited_reproduction",
	"status": "NUMERICALLY VERIFIED",
	"claim": "The inherited H-OSP capture reproduces all66runs,825arrays and5577savedstates.",
	"evidence": [
	"verification/inherited_v3_fresh/reproduction_summary.json"
	],
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	},
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	"id": "novelty_priority",
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	"claim": "Historical priority for the shared-center / prefix-energy / discarded-reference all-future certificate synthesis.",
	"evidence": [
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	"prior_art/candidate_and_baseline_audit.md",
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	},
	{
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	"claim": "A globally optimal nonlinear safe expansion, representation migration and memory allocation policy for unrestricted future tasks.",
	"evidence": [
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	"assumptions": "",
	"lineage": "This release"
	},
	{
	"id": "numeric_unbounded_stream",
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	"claim": "A complete deployable interval-certified long-horizon implementation for arbitrary hardware and indefinite task streams.",
	"evidence": [
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	],
	"assumptions": "",
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	}
	],
	"source_lock_sha256": "af4ac3635681ac02faa2b36181830f45654c3f9549601258e2fe4aa879308825",
	"primary_results": "experiments/final_standard/aggregate_results.json"
	}