{
  "claim_boundary": [
    "This matrix contains the complete ERAIS public-proof disclosure tier at the pinned source commit.",
    "Evidence maturity does not state commercial availability or production readiness.",
    "Blocked records are published as boundaries and must not be rewritten as affirmative capabilities.",
    "Private run metadata, prompts, raw data, weights, source internals, and protected mechanisms remain excluded."
  ],
  "claim_count": 44,
  "claims": [
    {
      "claim_id": "identity.erais_public_name.v1",
      "limitation": "Naming and packaging identity only.",
      "prohibited_inferences": [
        "Identity consistency does not prove model quality or production readiness."
      ],
      "public_wording": [
        "ERAIS is the Efficient Routed Adaptive Inference System."
      ],
      "required_evidence": [
        "Canonical identity files remain mutually consistent and identity scans pass."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 4,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "validated"
    },
    {
      "claim_id": "identity.proprietary_controlled_disclosure.v1",
      "limitation": "Repository governance posture; it is not a legal opinion about every downstream artifact.",
      "prohibited_inferences": [
        "Controlled disclosure does not grant unrestricted redistribution or establish third-party licence closure."
      ],
      "public_wording": [
        "ERAIS is proprietary controlled-disclosure technology.",
        "Public proof materials are limited to approved redacted evidence."
      ],
      "required_evidence": [
        "Copyright, notice, disclosure policy, and package metadata remain consistent."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 6,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "validated"
    },
    {
      "claim_id": "identity.external_surface_erais_only.v1",
      "limitation": "Applies only to surfaces included in the latest identity scan.",
      "prohibited_inferences": [
        "A passing scan does not prove that every historical or untracked artifact is clean."
      ],
      "public_wording": [
        "ERAIS external materials use the canonical ERAIS identity."
      ],
      "required_evidence": [
        "Repeat the identity and secret scan after every material external-surface change."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "infrastructure.docsys.generated_docs.v1",
      "limitation": "Documentation generation and indexing capability only.",
      "prohibited_inferences": [
        "Generated documentation does not prove model quality, benchmark validity, or production readiness."
      ],
      "public_wording": [
        "ERAIS includes generated documentation and machine-readable documentation manifests."
      ],
      "required_evidence": [
        "Current generated outputs, hashes, and link checks pass on the exact release SHA."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "infrastructure.proof_gated_pipeline.v1",
      "limitation": "Infrastructure exists, but complete transitive evidence closure is not yet established.",
      "prohibited_inferences": [
        "Workflow availability does not mean every mechanism or product claim has passed."
      ],
      "public_wording": [
        "ERAIS includes proof-controlled research workflows."
      ],
      "required_evidence": [
        "Every active workflow must bind data, protocol, statistics, closure, exact SHA, and supersession history."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "infrastructure.data_pipeline.v1",
      "limitation": "Applies to the registered pipeline artifacts and declared source sets only.",
      "prohibited_inferences": [
        "Pipeline completion does not prove dataset superiority or model generalization."
      ],
      "public_wording": [
        "ERAIS includes certified data ingestion and tokenizer training workflows."
      ],
      "required_evidence": [
        "Rebuild from source identities and pass licence, lineage, deduplication, and split-isolation checks."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 4,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "infrastructure.benchmark_methodology.v1",
      "limitation": "Methodology and registered controls only; benchmark result eligibility remains separate.",
      "prohibited_inferences": [
        "No process can guarantee zero hidden benchmark contamination."
      ],
      "public_wording": [
        "ERAIS includes registered benchmark-contamination and task-signature controls."
      ],
      "required_evidence": [
        "Current task signatures, licences, contamination checks, matched runs, statistics, and closure all pass."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "infrastructure.dense_baseline_plan.v1",
      "limitation": "A comparison plan, not a completed superiority result.",
      "prohibited_inferences": [
        "A planned comparison cannot support efficiency or quality superiority."
      ],
      "public_wording": [
        "ERAIS has a registered plan for matched dense-model comparisons."
      ],
      "required_evidence": [
        "Execute matched dense, ERAIS, and ablation runs at declared scales with sufficient seeds and exact shared lineage."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "provisional"
    },
    {
      "claim_id": "quality.dense_superiority.v1",
      "limitation": "Positive dense-superiority claims are blocked.",
      "prohibited_inferences": [
        "Do not claim ERAIS beats, replaces, or obsoletes dense transformers."
      ],
      "public_wording": [
        "Dense-baseline superiority is not claimed without matched benchmark evidence."
      ],
      "required_evidence": [
        "Matched multi-scale dense comparisons, standard 30-seed statistics, contamination closure, and independent reproduction."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.qwen_dense_refactor_exact_anchor.v1",
      "limitation": "Five short frozen engineering cases, greedy decoding, K32 reconstruction, one donor family; the receipt is explicitly not claim-eligible quality evidence.",
      "prohibited_inferences": [
        "Do not generalize exactness beyond the pinned donor, K32 reconstruction, and observed cases.",
        "Do not infer sparse quality, speed, cost, or production readiness."
      ],
      "public_wording": [
        "An internal engineering check observed exact K32 donor reconstruction on five frozen Qwen3-0.6B cases."
      ],
      "required_evidence": [
        "Broader prompt suites, all-step logit comparison, long-context cases, sampling, multiple donor families, statistical closure, and independent reproduction."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.identity_safe_full_stack_attachment.v1",
      "limitation": "Dense-anchor behavior only; auxiliary mechanisms were not shown to improve quality or operate sparsely.",
      "prohibited_inferences": [
        "Do not claim cognitive-organ benefit, recurrence benefit, sparse execution, or general capability retention."
      ],
      "public_wording": [
        "ERAIS has an identity-safe donor-attachment engineering path."
      ],
      "required_evidence": [
        "Strict state closure across larger suites, explicit organ activation tests, matched quality evaluation, and independent reproduction."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.activation_derived_expert_organization.v1",
      "limitation": "Assignment construction is observed; semantic specialization and superiority over random or contiguous partitions are untested.",
      "prohibited_inferences": [
        "Do not label experts semantic or superior solely from balanced assignment or reconstruction exactness."
      ],
      "public_wording": [
        "ERAIS has an activation-derived balanced expert-assignment pipeline."
      ],
      "required_evidence": [
        "Matched activation-derived, random, and contiguous assignment comparisons at identical K, adapter capacity, calibration budget, data, and seeds."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.dynamic_expert_count_policy.v1",
      "limitation": "The mechanism is unit-tested but has no real-Qwen calibration or held-out quality authorization.",
      "prohibited_inferences": [
        "Do not describe the policy as calibrated, quality-preserving, faster, or cheaper on real Qwen."
      ],
      "public_wording": [
        "ERAIS implements a deterministic expert-count policy with exact fallback."
      ],
      "required_evidence": [
        "Fresh trace-derived adapters, calibration bounds, disjoint validation and holdout closure, then matched runtime quality and performance evidence."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.auditable_sparse_execution.v1",
      "limitation": "Content binding and mutation refusal are implemented and tested; this is not cryptographic signing, remote attestation, or production certification.",
      "prohibited_inferences": [
        "Do not call hash binding a digital signature or claim production security certification."
      ],
      "public_wording": [
        "ERAIS implements content-bound, fail-closed sparse-runtime authorization."
      ],
      "required_evidence": [
        "Exact-SHA remote CI, adversarial security review, signed release identity if claimed, deployment soak, rollback, and independent audit."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "candidate"
    },
    {
      "claim_id": "research.native_adapter_numerical_trainability.v1",
      "limitation": "One engineering step only: 10,421,448 trainable parameters across 577 injected modules; no convergence, language quality, or full-weight viability conclusion.",
      "prohibited_inferences": [
        "Do not infer convergence, native model quality, learning efficiency, full-weight viability, or production training readiness."
      ],
      "public_wording": [
        "A bounded one-step diagnostic established finite native ERAIS adapter updates."
      ],
      "required_evidence": [
        "Resumable checkpoint lineage, sustained multi-step curves, held-out quality, replicated seeds, graceful stop/resume, and resource closure."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.independent_expert_attention_sparsity.v1",
      "limitation": "Separation is implemented; the current default attention budget can be exhausted by local candidates before anchors or landmarks enter.",
      "prohibited_inferences": [
        "Do not call the current default selector full local-anchor-landmark attention or claim long-range retention."
      ],
      "public_wording": [
        "ERAIS can configure expert and attention sparsity independently."
      ],
      "required_evidence": [
        "Correct candidate budgeting, unit and integration regression tests, long-context matched evaluation, latency, memory, and quality closure."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.append_only_vocabulary_identity.v1",
      "limitation": "Identifier preservation is implementation-tested; embedding, output-head, optimizer-state, and donor-semantic retention are not established.",
      "prohibited_inferences": [
        "Do not claim tokenizer consolidation without capability loss."
      ],
      "public_wording": [
        "ERAIS implements append-only token identifier preservation."
      ],
      "required_evidence": [
        "End-to-end vocabulary extension with checkpoint, optimizer, embedding, output-head, generation-quality, and rollback validation."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.modular_expert_continual_learning.v1",
      "limitation": "A research hypothesis; ERAIS has not completed a sequential capability-addition retention experiment.",
      "prohibited_inferences": [
        "Do not claim continual learning without forgetting or effortless expert installation."
      ],
      "public_wording": [
        "ERAIS is testing modular expert addition as a continual-learning strategy."
      ],
      "required_evidence": [
        "Sequential donor addition, stratified replay, old-route and old-logit retention, rare-route coverage, OOD abstention, multiple seeds, and forgetting statistics."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.cross_lineage_expert_portability.v1",
      "limitation": "Highest-uncertainty roadmap hypothesis; shape compatibility alone is explicitly insufficient.",
      "prohibited_inferences": [
        "Do not claim universal expert portability, model merging without loss, or compatibility from tensor shape alone."
      ],
      "public_wording": [
        "ERAIS has a governed research design for cross-lineage expert alignment."
      ],
      "required_evidence": [
        "Two-donor cross-lineage import, explicit alignment, retention and interference controls, rejection tests, licences, poisoning resistance, and independent reproduction."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.adaptive_recurrence_benefit.v1",
      "limitation": "Recurrence benefit and cost remain unevaluated in matched lm-eval runs.",
      "prohibited_inferences": [
        "Do not infer reasoning improvement from extra recurrent steps or confidence heuristics."
      ],
      "public_wording": [
        "Adaptive recurrence benefit remains unproven pending matched evaluation."
      ],
      "required_evidence": [
        "Frozen with/without-recurrence protocol, identical model and prompts, calibrated stopping bounds, enough repetitions, lm-eval quality, latency, memory, and energy where claimed."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.material_sparse_qwen_quality.v1",
      "limitation": "Five engineering cases are too small for benchmark-quality inference, but they are sufficient to block promotion of the observed sparse path.",
      "prohibited_inferences": [
        "Do not claim K8, K16, K24, or the observed K30-K32 path preserves donor quality."
      ],
      "public_wording": [
        "Material sparse Qwen quality is not yet demonstrated."
      ],
      "required_evidence": [
        "Fresh activation traces, alignment adapters, calibrated K ladder, disjoint holdout, matched dense attention first, benchmark suite, multiple seeds, statistics, and closure."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "research.sparse_attention_quality.v1",
      "limitation": "Implementation and unit tests exist, but the default candidate-budget defect and absent long-context evidence block promotion.",
      "prohibited_inferences": [
        "Do not infer long-range retention from selector names or theoretical sparsity."
      ],
      "public_wording": [
        "Sparse-attention quality remains under evaluation."
      ],
      "required_evidence": [
        "Fix candidate budgeting, verify anchor and landmark participation, run matched long-context tasks and general benchmarks, and close latency, memory, and quality statistics."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.governed_dense_conversion.v1",
      "limitation": "Demonstrated only as narrow engineering infrastructure on the pinned Qwen donor; not a production service certification.",
      "prohibited_inferences": [
        "Do not imply universal donor support or production deployment readiness."
      ],
      "public_wording": [
        "ERAIS has a governed dense-model conversion engineering path."
      ],
      "required_evidence": [
        "Supported-family matrix, repeatable conversion SLA, security, rollback, legal closure, load and soak tests, customer-data controls, and independent audit."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.preserve_existing_model_investment.v1",
      "limitation": "A conditional value proposition grounded only in the pinned five-case Qwen engineering anchor.",
      "prohibited_inferences": [
        "Do not promise complete capability preservation or migration without regression."
      ],
      "public_wording": [
        "ERAIS is developing conversion paths that retain an exact dense anchor."
      ],
      "required_evidence": [
        "Broader donor families, full quality suites, rollback, data governance, licensing, and customer-specific acceptance tests."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.sparse_inference_cost_reduction.v1",
      "limitation": "Selected-expert counts are not measured compute; the observed legacy route was behaviorally regressed and nearly dense.",
      "prohibited_inferences": [
        "Do not convert K ratios or active-parameter ratios directly into speed, cost, or compute savings."
      ],
      "public_wording": [
        "Sparse inference cost reduction remains unmeasured."
      ],
      "required_evidence": [
        "Matched quality first, then wall-clock latency, throughput, memory traffic, resident memory, compute, and cost on declared hardware with repetitions and uncertainty."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 2,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.constrained_local_deployment.v1",
      "limitation": "Containment machinery exists; useful sparse quality, service SLOs, and broad hardware support are not proven.",
      "prohibited_inferences": [
        "Do not claim practical edge deployment, low memory, or production availability without measurements."
      ],
      "public_wording": [
        "ERAIS includes explicit resource containment for local workflows."
      ],
      "required_evidence": [
        "Declared support matrix, matched quality, controlled OOM behavior, load, 24-hour soak, restart, rollback, restore, and security tests."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 3,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.model_portfolio_consolidation.v1",
      "limitation": "Roadmap value proposition; no multi-donor consolidation with retention has passed.",
      "prohibited_inferences": [
        "Do not claim existing model fleets can already be merged without capability loss."
      ],
      "public_wording": [
        "ERAIS is researching governed specialist-model consolidation."
      ],
      "required_evidence": [
        "Multiple compatible donors, interference controls, matched retention, routing, rollback, licences, security, and operational cost evidence."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.incremental_capability_installation.v1",
      "limitation": "Package lifecycle is designed but not commercially validated.",
      "prohibited_inferences": [
        "Do not market current expert packages as safe drop-in upgrades."
      ],
      "public_wording": [
        "ERAIS is designing versioned modular capability upgrades."
      ],
      "required_evidence": [
        "Immutable package generations, signed identity, quarantine, shadow, canary, rollback, compatibility, poisoning resistance, retention, and legal closure."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
        "public_evidence_index": "/erais/proof/",
        "repository": "neuroforge-io/erais"
      },
      "status": "blocked"
    },
    {
      "claim_id": "commercial.expert_marketplace.v1",
      "limitation": "Long-term option, not a current product or technically validated market.",
      "prohibited_inferences": [
        "Do not claim a marketplace exists or that experts can be safely traded today."
      ],
      "public_wording": [
        "A governed expert ecosystem is a long-term ERAIS research direction."
      ],
      "required_evidence": [
        "Cross-installation evidence, package signatures, compatibility rules, malware and poisoning controls, licence and export review, economics, moderation, and dispute processes."
      ],
      "source": {
        "artifact": "claims/claims.json",
        "commit": "e00a3bb095e33e352e5b3da2e681270b656c565b",
        "evidence_reference_count": 1,
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