{"$schema":"https://neuroforge.io/schemas/public-claim-catalog-v1.schema.json","contract":"neuroforge.public_claim_catalog.v1","canonical":"https://neuroforge.io/claims/catalog.json","interpretation":{"availability_is_evidence_maturity":false,"blocked_is_affirmative":false,"exact_wording_must_retain_boundary":true,"commercial_claims_are_dated_source_snapshots":true,"current_company_context":"https://neuroforge.io/status/#status-sources"},"sources":{"business":{"repository":"neuroforge-io/neuroforge_business","commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","reviewedAt":"2026-08-15"},"erais":{"repository":"neuroforge-io/erais","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","artifact":"claims/claims.json","artifactDigest":"21e66fb071fe97eb9f5a1274a72d779f649488567f49f807ccb82696a26444b5","reviewedAt":"2026-07-12T03:45:00Z"},"eraisCurrentAggregate":{"repository":"neuroforge-io/erais","commit":"77f9cb2622c25c2e92f5075118db02c3de29f8d0","tree":"f1a69a4121cedf774f9738ff8b2f7541fd630c43","artifact":"reports/evidence_packs/neuroforge_terminal_public_handoff_v1/claims_evidence_matrix.json","artifactDigest":"36a5a89ad413fdf9800aa150c734ff6e8ff673274c3155267d46bae3a2e2c2a5","manifestArtifact":"reports/evidence_packs/neuroforge_terminal_public_handoff_v1/manifest.json","bundleManifestDigest":"ef6dfee14983264e97c8acc75be96565997d26edc2cff4ec6d2d5ee7d4416733","reviewedAt":"2026-07-28T04:04:23Z","assemblyCiVerified":false,"publicationState":"hold_pending_assembly_ci"}},"claims":[{"availability":"company_positioning","caveat":"This describes NeuroForge's purpose, not a proven customer outcome.","class":"company positioning","id":"NF-COM-001","owner":"NeuroForge commercial","prohibited_inferences":["Do not infer customer adoption, outcome history, or production scale."],"public_wording":"NeuroForge tests what AI actually fits your workflow, hardware and data—and builds ERAIS to make much more fit.","required_evidence":["Update outcome language only after signed acceptance and separate publication permission."],"source_artifact":"business/NEUROFORGE_MESSAGE_AND_DISCLOSURE_AUTHORITY_20260815.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"stage_boundary","caveat":"Update only with signed, attributable evidence approved for public use.","class":"company stage","id":"NF-COM-002","owner":"NeuroForge commercial","prohibited_inferences":["Enquiries, discovery, proposals, or design-partner interest are not traction."],"public_wording":"NeuroForge is founder-led and pre-revenue. No customers, partners, grants, investors, recurring revenue, product-market fit, or production deployment are represented.","required_evidence":["Signed and attributable records plus publication approval for any stage change."],"source_artifact":"business/NEUROFORGE_INVESTOR_BUSINESS_PLAN.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"available","caveat":"Founder-led, manual delivery does not imply a generally available product, production SLA, or proven scale.","class":"available services","id":"NF-COM-003","owner":"NeuroForge commercial","prohibited_inferences":["Do not describe the service catalogue as established recurring revenue or software availability."],"public_wording":"NeuroForge's commercial front door is the 10-Day AI Fit Test. Deployment, evidence-audit and research paths are separately scoped only when the first decision or partner question supports them.","required_evidence":["A signed statement of work, prerequisites, and acceptance matrix govern each engagement."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"available","caveat":"This is a future delivery promise subject to a signed statement of work, approved boundary, and customer prerequisites.","class":"NF-A offer","id":"NF-COM-004","owner":"NeuroForge commercial","prohibited_inferences":["Do not infer production high availability, autonomous use, certification, or 24/7 support."],"public_wording":"A Private AI Deployment Sprint tests whether one valuable workflow can run inside an approved local hardware and data boundary, then delivers the tested system, its limitations, a restorable runbook, and release evidence.","required_evidence":["Frozen workflow, evaluation, rights, environment, acceptance, restore, and handover records."],"source_artifact":"products/mvp/NF-A_PRIVATE_AI_DEPLOYMENT_SPRINT.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"available","caveat":"This is a technical audit, not legal, privacy, clinical, safety, cyber, engineering, or regulatory certification.","class":"NF-B offer","id":"NF-COM-005","owner":"NeuroForge commercial","prohibited_inferences":["Do not present an audit decision as accreditation or legal assurance."],"public_wording":"An AI Evidence & Release Audit reconstructs one AI release end to end and produces a technical release, remediate, or hold decision.","required_evidence":["Identifiable release, artifact access, claim register, evaluation evidence, and accepted audit boundary."],"source_artifact":"products/mvp/NF-B_AI_EVIDENCE_RELEASE_AUDIT.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"qualified","caveat":"The protocol, baseline, rights, disclosure, compute, and review terms must be frozen before claim-bearing work.","class":"NF-C offer","id":"NF-COM-006","owner":"NeuroForge commercial","prohibited_inferences":["A completed experiment does not imply a positive result or product readiness."],"public_wording":"A Research & Benchmark Partnership runs one pre-agreed controlled experiment, preserves negative or null results, and delivers the protocol, run ledger, analysis, review, and decision pack.","required_evidence":["Frozen protocol and baseline, rights, negative-result protection, independent review, and decision record."],"source_artifact":"products/mvp/NF-C_RESEARCH_BENCHMARK_PARTNERSHIP.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"delivery_method","caveat":"Model and runtime selection remains specific to the workflow, rights, hardware, and approved data boundary.","class":"delivery method","id":"NF-COM-007","owner":"NeuroForge commercial","prohibited_inferences":["Do not represent native ERAIS quality as a dependency or silently relabel third-party components."],"public_wording":"Private-deployment work uses the model and runtime that best fit the approved workflow, including qualified third-party open-weight components; it does not depend on native ERAIS model quality.","required_evidence":["Model/runtime selection record, licences, task evaluation, and environment fit."],"source_artifact":"products/mvp/NF-A_PRIVATE_AI_DEPLOYMENT_SPRINT.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"gated_design_partner","caveat":"Each candidate has a separate pre-contract or productisation gate.","class":"product state","id":"NF-COM-008","owner":"NeuroForge commercial","prohibited_inferences":["Do not call these generally available, enterprise-ready, customer-operable, or production products."],"public_wording":"ERAIS Gateway, Training Workbench, and Evidence Control are gated design-partner candidates, not generally available products.","required_evidence":["Exact-candidate gate receipts and independent operator evidence for the relevant product."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"research_only","caveat":"These are sponsored, falsifiable research pathways; positive quality, savings, and production outcomes remain unproven.","class":"research state","id":"NF-COM-009","owner":"NeuroForge commercial","prohibited_inferences":["Do not present native quality, sparse savings, portability, or production use as established."],"public_wording":"Native ERAIS model work and governed model conversion/adaptive serving are sponsored research pathways; negative or null outcomes are valid deliverables.","required_evidence":["A frozen question, baseline, holdout, compute boundary, result ledger, and independent review."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"commercial_boundary","caveat":"A separate signed scope can add only obligations that have passed the relevant capability, legal, security, and operating gates.","class":"commercial boundary","id":"NF-COM-010","owner":"NeuroForge commercial","prohibited_inferences":["Do not imply support, assurance, integration, or safety obligations that are not written into an approved scope."],"public_wording":"Current offers do not include a production SLA, 24/7 support, legal or regulatory certification, safety-authoritative use, or open-ended integration unless separately contracted after the relevant gates pass.","required_evidence":["Relevant gate approval and a signed statement of work for any expanded obligation."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"delivery_method","caveat":"The signed acceptance matrix controls the exact measures and witnesses for an engagement.","class":"delivery method","id":"NF-COM-011","owner":"NeuroForge commercial","prohibited_inferences":["A repository, dashboard, model output, or successful demo is not acceptance by itself."],"public_wording":"Every engagement closes with an explicit accept, remediate, extend, or stop decision supported by versioned evidence.","required_evidence":["Customer-witnessed acceptance, limitations, handover, and decision records."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"governance_method","caveat":"Commercial state answers whether NeuroForge can scope the engagement; evidence maturity answers what a technical claim currently supports.","class":"governance method","id":"NF-COM-012","owner":"NeuroForge commercial","prohibited_inferences":["Never translate candidate into available, an internal gate into production readiness, or an available service into a repeatable product."],"public_wording":"NeuroForge's commercial availability states and ERAIS evidence-maturity states answer different questions and are reported separately.","required_evidence":["Separate fields, badges, filters, counts, and source records across human and machine surfaces."],"source_artifact":"products/README.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"incorporated_active","caveat":"The published identifiers establish the registered entity. They do not disclose private cap-table, shareholder, director-address, or protected IP-schedule material.","class":"legal identity","id":"NF-COM-013","owner":"NeuroForge commercial","prohibited_inferences":["Do not infer funding, revenue, customers, or external endorsement from incorporation or GST registration."],"public_wording":"NeuroForge and NeuroForge IO are the public brands of NeuroforgeIO Pty Ltd, an active Australian private company registered under ACN 701 314 329 and ABN 87 701 314 329.","required_evidence":["Current Australian Business Register entity name, entity type, ABN status, ABN, and linked ACN record."],"source_artifact":"https://abr.business.gov.au/ABN/View?abn=87701314329","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"qualifying_first_pilots","caveat":"Discovery, fit assessment, or a proposal is not a pilot, customer, partner, or delivery outcome.","class":"pilot stage","id":"NF-COM-014","owner":"NeuroForge commercial","prohibited_inferences":["Do not infer an active or completed external pilot without a signed agreement, passed start gate, and separately approved public record."],"public_wording":"NeuroForge is qualifying its first bounded commercial, design-partner, and funded research pilots. Discovery is open; a pilot starts only after its scope, rights, funding, acceptance, and signed agreement close.","required_evidence":["Signed agreement, passed start gate, named owners, approved boundary, acceptance matrix, and separate publication permission for any public pilot statement."],"source_artifact":"NeuroforgeIO Pty Ltd public commercial decision — 2026-08-13","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"seeking_aligned_funding","caveat":"This states a capital objective, not funding received, an investor relationship, a valuation, or an offer of securities.","class":"funding objective","id":"NF-COM-015","owner":"NeuroForge commercial","prohibited_inferences":["Do not describe funding as raised, committed, underwritten, or endorsed without signed and publishable evidence."],"public_wording":"NeuroforgeIO Pty Ltd is seeking aligned investment and funded partnerships to expand ERAIS validation, add delivery capacity, begin customer pilots, and progress commercial applications through their operating gates.","required_evidence":["Public company decision and a controlled investor or funded-partnership process; any future financing claim requires signed attributable records and publication approval."],"source_artifact":"NeuroforgeIO Pty Ltd public capital objective — 2026-08-13","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"availability":"available","caveat":"This is a founder-led market-test service with no observed willingness-to-pay, delivery history, broad device support, or production outcome.","class":"NF-A0 offer","id":"NF-COM-016","owner":"NeuroForge commercial","prohibited_inferences":["Do not infer production deployability, customer traction, general hardware portability, or native ERAIS performance from an audit or demonstration."],"public_wording":"The 10-Day AI Fit Test—formally NF-A0 AI System Fit Audit & Local Demo—tests one workflow for A$4,800 ex GST and returns working outputs, visible failures, a system-fit report and a deploy, change, remediate, rescope or stop decision. A$2,400 is credited toward NF-A1 when signed within 30 days.","required_evidence":["Signed scope, approved target or reference host, lawful test cases, frozen boundary, demo and failure record, accepted fit report, and explicit customer decision."],"source_artifact":"products/lead/NF-A0_BOUNDARY_WORKSHOP.md","source_commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","search_publication":{"state":"noindex","reviewedOn":"2026-08-15","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Naming and packaging identity only.","class":"identity","distribution":"approved_public_proof","evidence_maturity":"validated","id":"identity.erais_public_name.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Repository governance posture; it is not a legal opinion about every downstream artifact.","class":"identity","distribution":"approved_public_proof","evidence_maturity":"validated","id":"identity.proprietary_controlled_disclosure.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Applies only to surfaces included in the latest identity scan.","class":"identity","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"identity.external_surface_erais_only.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Documentation generation and indexing capability only.","class":"infrastructure","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"infrastructure.docsys.generated_docs.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Infrastructure exists, but complete transitive evidence closure is not yet established.","class":"infrastructure","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"infrastructure.proof_gated_pipeline.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Applies to the registered pipeline artifacts and declared source sets only.","class":"infrastructure","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"infrastructure.data_pipeline.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Methodology and registered controls only; benchmark result eligibility remains separate.","class":"infrastructure","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"infrastructure.benchmark_methodology.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"A comparison plan, not a completed superiority result.","class":"infrastructure","distribution":"approved_public_proof","evidence_maturity":"provisional","id":"infrastructure.dense_baseline_plan.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Positive dense-superiority claims are blocked.","class":"claim_boundary","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"quality.dense_superiority.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Five short frozen engineering cases, greedy decoding, K32 reconstruction, one donor family; the receipt is explicitly not claim-eligible quality evidence.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.qwen_dense_refactor_exact_anchor.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Dense-anchor behavior only; auxiliary mechanisms were not shown to improve quality or operate sparsely.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.identity_safe_full_stack_attachment.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Assignment construction is observed; semantic specialization and superiority over random or contiguous partitions are untested.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.activation_derived_expert_organization.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"The mechanism is unit-tested but has no real-Qwen calibration or held-out quality authorization.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.dynamic_expert_count_policy.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Content binding and mutation refusal are implemented and tested; this is not cryptographic signing, remote attestation, or production certification.","class":"research","distribution":"approved_public_proof","evidence_maturity":"candidate","id":"research.auditable_sparse_execution.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"One engineering step only: 10,421,448 trainable parameters across 577 injected modules; no convergence, language quality, or full-weight viability conclusion.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.native_adapter_numerical_trainability.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Separation is implemented; the current default attention budget can be exhausted by local candidates before anchors or landmarks enter.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.independent_expert_attention_sparsity.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Identifier preservation is implementation-tested; embedding, output-head, optimizer-state, and donor-semantic retention are not established.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.append_only_vocabulary_identity.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"A research hypothesis; ERAIS has not completed a sequential capability-addition retention experiment.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.modular_expert_continual_learning.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Highest-uncertainty roadmap hypothesis; shape compatibility alone is explicitly insufficient.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.cross_lineage_expert_portability.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Recurrence benefit and cost remain unevaluated in matched lm-eval runs.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.adaptive_recurrence_benefit.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Five engineering cases are too small for benchmark-quality inference, but they are sufficient to block promotion of the observed sparse path.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.material_sparse_qwen_quality.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Implementation and unit tests exist, but the default candidate-budget defect and absent long-context evidence block promotion.","class":"research","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"research.sparse_attention_quality.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Demonstrated only as narrow engineering infrastructure on the pinned Qwen donor; not a production service certification.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.governed_dense_conversion.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"A conditional value proposition grounded only in the pinned five-case Qwen engineering anchor.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.preserve_existing_model_investment.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Selected-expert counts are not measured compute; the observed legacy route was behaviorally regressed and nearly dense.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.sparse_inference_cost_reduction.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Containment machinery exists; useful sparse quality, service SLOs, and broad hardware support are not proven.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.constrained_local_deployment.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Roadmap value proposition; no multi-donor consolidation with retention has passed.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.model_portfolio_consolidation.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Package lifecycle is designed but not commercially validated.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.incremental_capability_installation.v1","owner":"ERAIS technical","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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Long-term option, not a current product or technically validated market.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.expert_marketplace.v1","owner":"ERAIS technical","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,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Strategic positioning only; ERAIS has not passed sovereign deployment, accreditation, or sector-specific requirements.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.sovereign_ai_infrastructure.v1","owner":"ERAIS technical","prohibited_inferences":["Do not imply government approval, defence readiness, or national sovereignty certification."],"public_wording":["ERAIS is designed for locally controlled, provenance-aware deployment research."],"required_evidence":["Jurisdiction-specific security, privacy, supply chain, operations, resilience, data governance, energy, legal, and accreditation closure."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Resource adaptation controls exist; multi-hardware quality and performance equivalence are not closed.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"commercial.hardware_adaptive_serving.v1","owner":"ERAIS technical","prohibited_inferences":["Do not imply that hardware pressure may silently change architecture, data, precision, seed, quality threshold, or stopping rule."],"public_wording":["ERAIS separates permitted resource adaptation from fixed model semantics."],"required_evidence":["Support matrix, semantic-profile equivalence, deterministic fallback, quality, performance, OOM, and recovery evidence on every declared target."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Tooling availability is supported; service quality, support commitments, and production deployment are not.","class":"commercial","distribution":"approved_public_proof","evidence_maturity":"candidate","id":"commercial.conversion_validation_tooling.v1","owner":"ERAIS technical","prohibited_inferences":["Do not equate repository tooling with a production-certified commercial service."],"public_wording":["ERAIS includes a governed model-conversion and validation toolchain."],"required_evidence":["Supported interfaces, API stability, documentation, security, licence closure, reproducible examples, CI matrix, and service-level validation."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"No matched claim-eligible performance study with quality parity is complete.","class":"efficiency","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"efficiency.measured_inference_advantage.v1","owner":"ERAIS technical","prohibited_inferences":["Do not infer any efficiency metric from expert count, active parameters, theoretical FLOPs, or one-off timing."],"public_wording":["ERAIS inference efficiency advantages remain unmeasured."],"required_evidence":["Same-hardware matched runs, quality non-inferiority, warmup, repeated samples, confidence intervals, memory telemetry, compute measurement, and closure."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Step throughput and finite-loss diagnostics do not establish learning efficiency.","class":"efficiency","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"efficiency.training_learning_advantage.v1","owner":"ERAIS technical","prohibited_inferences":["Do not infer learning efficiency from step throughput, training loss alone, or one finite update."],"public_wording":["Training learning efficiency remains unproven."],"required_evidence":["Matched data, tokens, optimizer, schedule, precision, seeds, model capacity, learning curves, held-out quality, compute, and statistical closure."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"No matched measured-energy evidence exists.","class":"environmental","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"environmental.measured_energy_savings.v1","owner":"ERAIS technical","prohibited_inferences":["Do not infer energy savings from active parameters, FLOPs, throughput, elapsed time, or sparse selection alone."],"public_wording":["ERAIS energy savings are not currently claimed."],"required_evidence":["Calibrated energy measurement over matched quality workloads, hardware and boundary disclosure, repetitions, uncertainty, and closure."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Neither measured energy nor location- and time-specific carbon accounting is complete.","class":"environmental","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"environmental.measured_carbon_advantage.v1","owner":"ERAIS technical","prohibited_inferences":["Do not translate theoretical sparsity into carbon, water, or sustainability claims."],"public_wording":["No ERAIS carbon-reduction claim is currently supported."],"required_evidence":["Measured energy, carbon-intensity provenance, system boundary, embodied-impact treatment where claimed, uncertainty, and independent review."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"The production SLO, support matrix, supply chain, legal, soak, rollback, restore, and hostile-audit requirements are incomplete.","class":"production","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"production.production_readiness.v1","owner":"ERAIS technical","prohibited_inferences":["Do not describe ERAIS or converted models as commercially production-ready."],"public_wording":["ERAIS production readiness remains under active validation."],"required_evidence":["Exact-SHA CI, transitive evidence closure, 24-hour soak, availability and overhead SLOs, security, load, rollback, restore, supply-chain, legal, two reproductions, and hostile audit."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"One finite adapter step is not quality evidence; the retained resumable checkpoint predates that non-resumable diagnostic.","class":"production","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"production.native_open_ended_model_quality.v1","owner":"ERAIS technical","prohibited_inferences":["Do not infer language quality from finite gradients, training loss, parameter count, or architectural features."],"public_wording":["Native ERAIS generation quality is not yet established."],"required_evidence":["Safe resumable continuation, sustained training, frozen generation suite, lm-eval, tool-use evaluation, multiple seeds, 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"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Host-specific operational conclusion; swap can protect cold-state pressure but cannot safely replace the working-set memory required by full-weight optimization.","class":"production","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"production.local_full_weight_training_viability.v1","owner":"ERAIS technical","prohibited_inferences":["Do not claim viability merely because large swap exists or because adapter training passed."],"public_wording":["Full-weight local training remains blocked pending a safe measured envelope."],"required_evidence":["A fresh isolated memory plan and guarded dry run must fit model, gradients, optimizer, activations, checkpoint staging, host reserve, and bounded swap without OOM or thrashing."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"A diligence thesis, not a promise about cost, duration, outcome, valuation, or return.","class":"investment","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"investment.bounded_sparse_de_risking_experiment.v1","owner":"ERAIS technical","prohibited_inferences":["Do not quantify capital efficiency, probability of success, valuation impact, or investor return without a reviewed cost and risk model."],"public_wording":["The next sparse de-risking experiment is concrete and measurable."],"required_evidence":["Frozen resources and budget, fresh alignment, matched quality and runtime measurements, repetitions, statistics, closure, and explicit inconclusive outcome handling."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":2,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"An architecture and diligence thesis; integration breadth does not establish a moat, product-market fit, or superior outcomes.","class":"investment","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"investment.system_level_differentiation_thesis.v1","owner":"ERAIS technical","prohibited_inferences":["Do not claim an established moat, unique market, or competitive superiority from component count."],"public_wording":["ERAIS is testing an integrated model-conversion and capability-management architecture."],"required_evidence":["Integrated matched results, defensible IP and legal review, external reproduction, customer validation, security, and operational evidence."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Strategic options, not validated markets, revenue forecasts, or current product lines.","class":"investment","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"investment.commercial_optionality_thesis.v1","owner":"ERAIS technical","prohibited_inferences":["Do not present optionality as traction, revenue, market share, or guaranteed commercialization."],"public_wording":["ERAIS has several separable commercialization hypotheses."],"required_evidence":["Customer discovery, willingness-to-pay evidence, unit economics, support model, legal review, and validated product readiness for each path."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Long-term hypothesis with no measured adoption, import-cost decline, or cross-expert compounding evidence.","class":"investment","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"investment.expert_bank_network_effects_thesis.v1","owner":"ERAIS technical","prohibited_inferences":["Do not claim current network effects, ecosystem scale, or data moat."],"public_wording":["Expert-bank compounding is a long-term hypothesis."],"required_evidence":["Repeated successful imports, measured declining integration cost, improved routing, retention, ecosystem participation, and defensible data rights."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":1,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}},{"caveat":"Qualitative scenario framing only; there is no approved capital requirement, probability model, valuation model, or investment-return claim.","class":"investment","distribution":"approved_public_proof","evidence_maturity":"blocked","id":"investment.asymmetric_upside_thesis.v1","owner":"ERAIS technical","prohibited_inferences":["Do not call the funding requirement modest, the upside highly asymmetric, or returns attractive without quantitative reviewed evidence."],"public_wording":["ERAIS has distinct downside and upside technical scenarios for diligence."],"required_evidence":["Audited cost model, milestones, downside asset valuation, probability ranges, financing plan, legal review, and investor-specific diligence."],"source":{"artifact":"claims/claims.json","commit":"e00a3bb095e33e352e5b3da2e681270b656c565b","evidence_reference_count":3,"public_evidence_index":"/erais/proof/","repository":"neuroforge-io/erais"},"search_publication":{"state":"noindex","reviewedOn":"2026-07-12","evergreen":false,"review":{"distinctSearchQuestion":false,"standaloneExplanatoryValue":false,"currentOrDeliberatelyEvergreen":false,"boundaryUnderstoodStandalone":false,"notMisleadingOrSuperseded":false,"approvedPublicInterpretation":false,"uniqueMetadata":false,"contextuallyLinked":false}}}],"provenance":{"snapshot_date":"2026-10-30","site_commit":"490bd51ff8adc1c27b35c1899aef34940bd42572","build_receipt":"https://neuroforge.io/.well-known/build.json","content_digest_sha256":"dce934f216bee889098fe25944f4a14a58a9907dc52fa25304cf1e4ed0aab9ba","authorities":{"narrative":{"repository":"neuroforge-io/neuroforge_business","commit":"3a3878075e43a3090ac85d1d524c066db230bc3a","artifacts":["README.md","business/NEUROFORGE_ALIGNMENT_20260922.md","CURRENT_NARRATIVE.md","project/CURRENT_EXECUTION_PROGRAMME.md","business/README.md"]},"commercial":{"repository":"neuroforge-io/neuroforge_business","commit":"8edc97a685b4eb464cd6bc1c2f0e81bf50858600","artifacts":["business/NEUROFORGE_MESSAGE_AND_DISCLOSURE_AUTHORITY_V2_20260821.md","products/lead/NF-A0_BOUNDARY_WORKSHOP.md","products/lead/NF-A1_PRIVATE_TECHNICAL_KNOWLEDGE_CELL.md","business/NEUROFORGE_INVESTOR_MASTER_DECK_RELEASE_20260821.md"]},"reviewed_results":{"repository":"neuroforge-io/erais","review_commit":"ab5cf5bd390ecd232413c0d587fd9bd9f47ac680"},"reviewed_engineering":{"repository":"neuroforge-io/erais","review_commit":"6f20efa8bf6f6f2a86312d0fb80eef1460bb19a1","public_record":"/current-engineering.json"},"observed_repository_head":{"commit":"5fcbe5da65bd22d0d4684994b4d7d497eccae21f","observed_at":"2026-08-30T19:41:56+10:00","worktree":"origin_aligned_observed_head","research_state":"repository_motion_unreviewed","authoritative_for_public_results":false,"guidance":"Repository motion is not a result. Use reviewed_results for public evidence claims."}},"supersession_guidance":"If a cached resource conflicts with another description, prefer the live https://neuroforge.io/.well-known/build.json receipt and https://neuroforge.io/positioning.json authority, then retain the evidence boundary attached to the relevant record."}}