{
  "schemaVersion": "0.1.0",
  "type": "InterpretiveFalseNeighborsRegistry",
  "site": "https://gautierdorval.com/",
  "status": "proposed-seed-registry",
  "last_reviewed": "2026-07-08",
  "purpose": "Identify close concepts that must not be fused by semantic proximity alone.",
  "canonical_definition_fr": "https://gautierdorval.com/definitions/faux-voisin-interpretatif/",
  "canonical_definition_en": "https://gautierdorval.com/en/definitions/interpretive-false-neighbor/",
  "non_implication_rule": "A false-neighbor pair may be compared, but it must not be treated as equivalence, causality, proof or service authorization.",
  "pairs": [
    {
      "a": "llms.txt",
      "b": "AI governance",
      "relation": "close_but_not_equivalent",
      "risk": "Reducing governance to discovery metadata.",
      "required_behavior": "State that llms.txt can support discovery, but does not provide full interpretive governance."
    },
    {
      "a": "AI visibility",
      "b": "AI recommendation",
      "relation": "close_but_not_equivalent",
      "risk": "Treating being seen or cited as endorsement.",
      "required_behavior": "Separate visibility, citation, recommendation and fidelity."
    },
    {
      "a": "citability",
      "b": "interpretive fidelity",
      "relation": "close_but_not_equivalent",
      "risk": "Treating citation as correct representation.",
      "required_behavior": "Check proof of fidelity before claiming understanding."
    },
    {
      "a": "causal context",
      "b": "semantic proximity",
      "relation": "adjacent_but_distinct",
      "risk": "Substituting topical resemblance for declared need-state.",
      "required_behavior": "Use CCL only for declared causal chains; use proximity signals only as comparison or warning."
    },
    {
      "a": "intended consequence",
      "b": "outcome guarantee",
      "relation": "non_equivalent",
      "risk": "Turning an orientation into a promise.",
      "required_behavior": "Preserve the non-implication rule."
    },
    {
      "a": "official source",
      "b": "objective truth",
      "relation": "close_but_not_equivalent",
      "risk": "Treating the official position as a universal truth claim.",
      "required_behavior": "State that official sources are scope-bound and do not decide reputation or criticism."
    },
    {
      "a": "hash",
      "b": "truth proof",
      "relation": "close_but_not_equivalent",
      "risk": "Treating digest integrity as factual correctness.",
      "required_behavior": "State that hashes attest integrity only."
    },
    {
      "a": "integrity",
      "b": "interpretive fidelity",
      "relation": "close_but_not_equivalent",
      "risk": "Treating an intact source as proof that a summary is faithful.",
      "required_behavior": "Evaluate paraphrase fidelity separately."
    },
    {
      "a": "interpretive weighting",
      "b": "censorship",
      "relation": "close_but_not_equivalent",
      "risk": "Treating claim-class weighting as permission to erase external sources.",
      "required_behavior": "Classify external sources, do not silence qualified criticism."
    },
    {
      "a": "EAC",
      "b": "external-source suppression",
      "relation": "close_but_not_equivalent",
      "risk": "Treating admissibility control as blanket exclusion of criticism.",
      "required_behavior": "Use EAC for role classification and traceability, not reputation laundering."
    }
  ]
}