{
  "schema": "T_GPT_RESEARCH_MAP_V5",
  "generated": "2026-09-19",
  "language": "fr",
  "canonical": "https://www.t-1-t.com/T-GPT/",
  "title": "T^ × GPT",
  "type": "living-research-corpus",
  "current_state": "v0.8.7",
  "experimental_status": "local-engineering-preflight-pass_external-reaudit-required_p0-blocked_confirmatory-closed",
  "historical_states": [
    "v0.8.6_NO-GO_P0",
    "v0.8.4_CANON_V7",
    "v0.8.2_STATISTICAL_REPAIR",
    "v0.8.1_NO-GO",
    "v0.8",
    "pilot-v0.7",
    "v0.6",
    "v0.5",
    "v0.4",
    "v0.3"
  ],
  "description": "Programme de métrologie expérimentale des systèmes génératifs : déplacement sémantique directionnel, calibration nulle, récupération spécifique contre contrôle neutre, attribution par étapes, agrégation, provenance, faux positifs et coût.",
  "positioning": "Instrumentation-first. T^FIELD/T_WEAVE is a candidate method and may be refuted or retired without invalidating the measurement program.",
  "machine_endpoints": {
    "root_llms": "https://www.t-1-t.com/llms.txt",
    "corpus_llms": "https://www.t-1-t.com/T-GPT/llms.txt",
    "full_context": "https://www.t-1-t.com/T-GPT/llms-full.txt",
    "corpus_markdown": "https://www.t-1-t.com/T-GPT/corpus.md",
    "research_json": "https://www.t-1-t.com/T-GPT/research.json",
    "knowledge_jsonld": "https://www.t-1-t.com/T-GPT/knowledge.jsonld",
    "machine_portal": "https://www.t-1-t.com/T-GPT/machine/",
    "ultracon_sem": "https://www.t-1-t.com/ultracon/confab/updates/2026-09-18-semantic-protocols/update.json",
    "external_reaudit_packet": "https://www.t-1-t.com/T-GPT/data/external-reaudit-packet-v0.8.7-r1.json",
    "reproducibility_core_bundle": "https://www.t-1-t.com/T-GPT/packages/T_GPT_v0.8.7_REPRO_R1_CORE_2026-09-19.zip"
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  "epistemic_labels": {
    "DOC": "documented by identified scholarly/primary/institutional source",
    "OBS": "local observation, not automatically generalizable",
    "RUMEUR": "unverified public claim",
    "HYP": "testable hypothesis",
    "T_HYP": "T^-specific technical hypothesis, fully refutable",
    "T_HEURISTIC": "interpretive T^ language with no probative role",
    "PILOT": "protocol/condition, not a result",
    "EXT_REVIEW": "external critical review, not peer review and not authority over the corpus"
  },
  "outcome_labels": [
    "SUPPORTED",
    "PARTIAL",
    "REFUTED",
    "RETIRED",
    "NO-GO"
  ],
  "field_types": {
    "FIELD_TOK": "conditional token distribution when directly available",
    "FIELD_SEM": "empirical distribution over frozen semantic identities plus explicit mapping-failure states",
    "FIELD_TRAJ": "paired/graph trajectory structure with provenance",
    "FIELD_VIS": "normalized propositions/configurations exposed by final output"
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    "reason": "thresholded ES_LOSS/REC_GAIN path produced positive null signal, conditional missingness, mapping-state bugs and invalid resampling assumptions",
    "review": "https://www.t-1-t.com/T-GPT/revues/claude-02/"
  },
  "active_primary_metrics": {
    "DEFICIT_EXCESS": "null-calibrated directional semantic mass deficit",
    "EXPANSION_EXCESS": "null-calibrated reverse-direction semantic mass increase; mandatory companion to deficit",
    "RECOVERY_LIFT": "PRIMARY E2: closure toward A under recovery probe minus equal-cost neutral recheck from the same B_i",
    "AGG_COVERAGE": "PRIMARY E3: weighted relevant coverage represented in normalized aggregate",
    "REPRESENTATION_FPR": "mandatory E3 guardrail from preregistered distractor clusters"
  },
  "retired_from_primary": [
    "thresholded_ES_LOSS_v0.8.1",
    "REC_GAIN_v0.8.1",
    "IRREV_OBS"
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  "metric_spec": "https://www.t-1-t.com/T-GPT/data/metrics-v0.8.2.json",
  "protocol": "https://www.t-1-t.com/T-GPT/data/protocol-v0.8.2.json",
  "prompts": "https://www.t-1-t.com/T-GPT/data/pilot-v0.8.2-prompts.json",
  "annotation_spec": "https://www.t-1-t.com/T-GPT/data/annotation-spec-v0.8.2.json",
  "task_plan": "https://www.t-1-t.com/T-GPT/data/task-plan-v0.8.2.json",
  "freeze_manifest": "https://www.t-1-t.com/T-GPT/data/freeze-manifest-v0.8.2.template.json",
  "freeze_status": "https://www.t-1-t.com/T-GPT/data/freeze-status-v0.8.2.json",
  "claims_ledger": "https://www.t-1-t.com/T-GPT/data/claims-ledger-v0.8.2.json",
  "planning": {
    "page": "https://www.t-1-t.com/T-GPT/planning-v0.8.2/",
    "registry": "https://www.t-1-t.com/T-GPT/data/planning-tasks-v0.8.2.json",
    "protocol": "https://www.t-1-t.com/T-GPT/data/planning-protocol-v0.8.2.json",
    "n_tasks": 20,
    "n_families": 5,
    "tasks_per_family": 4,
    "planning_only": true,
    "P0": "task qualification; >=12 qualified and >=2 per family required",
    "P1": "between-task variance/precision planning only",
    "confirmatory_reuse_forbidden": true,
    "confirmatory_gate": "CLOSED"
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  "probability_rule": "p_X(c)=n_X(c)/N_total_finalized; UNMAPPED and UNRESOLVED remain in denominator and are reported separately.",
  "null_calibration": {
    "E2_preferred": "independent A_prime replicate plus paired probe-control randomization",
    "E1": "label permutation preserving task and group sizes",
    "rule": "calibrated excess values may be negative and are never truncated to save a contraction hypothesis"
  },
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      "id": "E1_STAGE",
      "priority": 1,
      "primary": "one preregistered DEFICIT_EXCESS contrast",
      "mandatory_companions": [
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        "Q_task",
        "Q_fact",
        "mapping_rates",
        "cost"
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      "secondary": "other stage transitions/template contrasts, Holm-adjusted"
    },
    {
      "id": "E2_RECOVERY",
      "priority": 2,
      "primary": "mean task-level RECOVERY_LIFT",
      "contrast": "RECOVERY_PROBE vs NEUTRAL_RECHECK",
      "pairing": "same saved B_i forks into both continuations"
    },
    {
      "id": "E3_TOPOLOGY",
      "priority": 3,
      "primary": "mean task-level AGG_COVERAGE",
      "guardrail": "REPRESENTATION_FPR",
      "constraints": [
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        "same max output tokens",
        "normalized proposition list",
        "blinded true clusters + distractors"
      ]
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    {
      "id": "E4_R_META",
      "priority": 4,
      "primary": "structural recurrence difference",
      "contrast": "STRUCTURAL_CRITIQUE vs pooled STYLE/LENGTH/NO_CRITIQUE controls"
    }
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    "planning_tasks_min_qualified": 12,
    "planning_min_per_family": 2,
    "confirmation_tasks_min": 30,
    "confirmation_target": 40,
    "redesign_if_required_over": 60,
    "rule": "task count fixed before confirmation using independent planning-task variance/precision and power simulation"
  },
  "annotation_gates": {
    "cluster_assignment_alpha_min": 0.67,
    "cluster_relevance_alpha_min": 0.67,
    "aggregate_representation_alpha_min": 0.67,
    "target": 0.8,
    "failure": "return to development and issue new freeze_id; no primary analysis"
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  "hostile_baselines": [
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    "EXPLICIT_K_DISTINCT",
    "MINIMAL_MULTI",
    "DISPERSIVE_SAMPLING",
    "VERBALIZED_SAMPLING",
    "COVERAGE_BASELINE_V0_8_2",
    "EXHAUSTIVE_NON_T",
    "BEST_OF_N_OR_CALIBRATED_JUDGE",
    "STANDARD_MULTI_AGENT_DEBATE"
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    "coverage_baseline": "https://www.t-1-t.com/T-GPT/tools/coverage_baseline_v0.8.2.py",
    "aggregation_eval": "https://www.t-1-t.com/T-GPT/tools/evaluate_aggregation_v0.8.2.py",
    "task_planning": "https://www.t-1-t.com/T-GPT/tools/plan_task_precision_v0.8.2.py",
    "task_registry_validator": "https://www.t-1-t.com/T-GPT/tools/validate_task_registry_v0.8.2.py",
    "adversarial_selftest": "https://www.t-1-t.com/T-GPT/tools/selftest-v0.8.2.py"
  },
  "current_pages": [
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      "role": "home",
      "url": "https://www.t-1-t.com/T-GPT/"
    },
    {
      "role": "state",
      "url": "https://www.t-1-t.com/T-GPT/recherche-v0.8.7/"
    },
    {
      "role": "planning",
      "url": "https://www.t-1-t.com/T-GPT/planning-v0.8.2/"
    },
    {
      "role": "pilot",
      "url": "https://www.t-1-t.com/T-GPT/pilot-v0.8.2/"
    },
    {
      "role": "formalisation",
      "url": "https://www.t-1-t.com/T-GPT/formalisation-v0.8.2/"
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    {
      "role": "methodology",
      "url": "https://www.t-1-t.com/T-GPT/methodologie/"
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    {
      "role": "review-5",
      "url": "https://www.t-1-t.com/T-GPT/revues/claude-05/"
    },
    {
      "role": "sources",
      "url": "https://www.t-1-t.com/T-GPT/sources-v0.8.2/"
    },
    {
      "role": "machine",
      "url": "https://www.t-1-t.com/T-GPT/machine/"
    },
    {
      "role": "documentary-face-cachee",
      "url": "https://www.t-1-t.com/T-GPT/face-cachee-ia/"
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    {
      "role": "documentary-lecun-sciences-po-2026",
      "url": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/"
    },
    {
      "role": "status-hub",
      "url": "https://www.t-1-t.com/T-GPT/etat/"
    },
    {
      "role": "research-hub",
      "url": "https://www.t-1-t.com/T-GPT/recherche/"
    },
    {
      "role": "data-hub",
      "url": "https://www.t-1-t.com/T-GPT/donnees/"
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    {
      "role": "documentary-hub",
      "url": "https://www.t-1-t.com/T-GPT/dossiers/"
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    {
      "role": "reviews-hub",
      "url": "https://www.t-1-t.com/T-GPT/revues/"
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    {
      "role": "versions-hub",
      "url": "https://www.t-1-t.com/T-GPT/versions/"
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    {
      "role": "ultracon-semantic-transversal",
      "url": "https://www.t-1-t.com/ultracon/confab/#semantic"
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    {
      "role": "internal-reproducibility-audit-06",
      "url": "https://www.t-1-t.com/T-GPT/revues/repro-06/"
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  "non_claims": [
    "P0/P1 planning outputs are not confirmatory evidence",
    "no confirmatory quantitative result exists",
    "DEFICIT_RAW alone is not evidence of contraction",
    "more diversity is not intrinsically better",
    "T^FIELD has no demonstrated advantage yet",
    "BEL is not established as GPT-7 or as the OpenAI Navier-Stokes model",
    "v0.8.7 local preflight is not an external validation or confirmatory result",
    "documentary dossiers are context/sources and never confirmatory evidence by inclusion alone",
    "automatic or model-generated transcripts are not certified quotations without source verification"
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  "documentary_dossiers": [
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      "id": "FACE_CACHEE_IA_2026_09_17",
      "url": "https://www.t-1-t.com/T-GPT/face-cachee-ia/",
      "status": "DOCUMENTARY_CRITICAL_ANALYSIS_NON_CONFIRMATORY",
      "source": "YouTube public video",
      "transcript_provenance": "T^AI Bridge -> Gemini 3.6 Flash native video reading; not official YouTube captions"
    },
    {
      "id": "LECUN_SCIENCES_PO_2026_09_16",
      "url": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/",
      "status": "DOCUMENTARY_PRIMARY_VIDEO_ASR_TRANSCRIPT_NON_CONFIRMATORY",
      "title": "Yann LeCun : où va l’intelligence artificielle ?",
      "event_date": "2026-09-16",
      "publisher": "Sciences Po",
      "source_video": "https://www.youtube.com/watch?v=Y4s8NadbZfU",
      "transcript_txt": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/verbatim.txt",
      "transcript_json": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/transcript.json",
      "captions_vtt": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/Y4s8NadbZfU.fr.vtt",
      "captions_json3": "https://www.t-1-t.com/T-GPT/yann-lecun-sciences-po-2026/Y4s8NadbZfU.fr.json3",
      "transcript_provenance": "French automatic YouTube captions (ASR), extracted and preserved raw; not a certified stenographic transcript",
      "topics": [
        "LLM",
        "JEPA",
        "world models",
        "robotics",
        "planning",
        "open source",
        "AI sovereignty",
        "AI regulation",
        "human and animal intelligence"
      ]
    }
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  "transversal_research_links": {
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      "relation": "T^GPT × ULTRACON",
      "human_url": "https://www.t-1-t.com/ultracon/confab/#semantic",
      "update_url": "https://www.t-1-t.com/ultracon/confab/updates/2026-09-18-semantic-protocols/",
      "operators": [
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        "SEM^DRIFT",
        "CONSENSUS^SEM",
        "OPACITY^GAP",
        "MEM^SEM",
        "TRANSLATION^GAP",
        "SEM^BREAK"
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      "experiments": [
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        "UCF-37",
        "UCF-38"
      ],
      "trace_contract": [
        "M_raw",
        "M_gloss",
        "S_t",
        "provenance",
        "delta_S"
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      "boundary": "This transversal layer does not alter the frozen T^GPT v0.8.7 confirmatory status or count as confirmatory evidence.",
      "lab_url": "https://www.t-1-t.com/ultracon/confab/sem-lab/"
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  "reproducibility_audit": {
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    "type": "INTERNAL_REPRODUCIBILITY_AUDIT_NOT_EXTERNAL_REVIEW",
    "url": "https://www.t-1-t.com/T-GPT/revues/repro-06/",
    "core_replay": "PASS",
    "meoi_byte_identity": "PASS",
    "canon_v7_replay": "BLOCKED_MISSING_SOURCE_BUNDLE",
    "ENG02_external_reaudit": "PENDING",
    "P0_execution": "BLOCKED",
    "confirmatory": "CLOSED",
    "manifest": "https://www.t-1-t.com/T-GPT/data/reproducibility-manifest-v0.8.7-r1.json",
    "external_reaudit_packet": "https://www.t-1-t.com/T-GPT/data/external-reaudit-packet-v0.8.7-r1.json",
    "core_bundle": {
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      "sha256": "50d87b84c241b4269510c0e6e8959ec28318ec49492eab05b55d554ebb6739f0",
      "reextracted_selftest": "PASS"
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}