Dead Languages in Machine Intelligence — finding 1
The report describes living-language ambiguity and semantic change as costs for long-lived machine records.
- Claim ID
CLM-K04-REP-061-F01- Status
- RESEARCH FINDING
- Scope
- Governed finding 1 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · Introduction: The Incompatibility of Living Lexicons and Machine Cognition · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 2
A versioned controlled vocabulary can reduce drift regardless of whether its symbols derive from a dead language.
- Claim ID
CLM-K04-REP-061-F02- Status
- RESEARCH FINDING
- Scope
- Governed finding 2 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Vector Space Mismatch and the Emergence of Machine Dialects · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 3
Dead languages still contain polysemy, textual variants, uncertain readings, editorial traditions, and changing scholarship.
- Claim ID
CLM-K04-REP-061-F03- Status
- RESEARCH FINDING
- Scope
- Governed finding 3 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Efficiency Attenuation Phenomenon · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 4
Formal grammar can inspire deterministic parsers but does not make every natural-language utterance unambiguous.
- Claim ID
CLM-K04-REP-061-F04- Status
- RESEARCH FINDING
- Scope
- Governed finding 4 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · Mathematical Properties of Emergent Protocols · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 5
Emergent agent protocols can be efficient yet opaque, creating an interpretability tradeoff.
- Claim ID
CLM-K04-REP-061-F05- Status
- RESEARCH FINDING
- Scope
- Governed finding 5 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Interpretability Tradeoff and the Need for a Linguistic Middle Ground · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 6
A historical-language-inspired controlled language may offer a middle layer only if mappings are explicit and testable.
- Claim ID
CLM-K04-REP-061-F06- Status
- RESEARCH FINDING
- Scope
- Governed finding 6 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · Structural Isomorphism: Paninian Grammar and AI Knowledge Representation · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 7
Claims of zero ambiguity or zero drift are too strong and are corrected in the active synthesis.
- Claim ID
CLM-K04-REP-061-F07- Status
- RESEARCH FINDING
- Scope
- Governed finding 7 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Failure of Noun-Phrase Parsing and the Emergence of the Semantic Net · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 8
Agglutinative or logographic properties can support compact encoding but may increase morphology and tooling complexity.
- Claim ID
CLM-K04-REP-061-F08- Status
- RESEARCH FINDING
- Scope
- Governed finding 8 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Karaka System and Morphological Determinism · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 9
Security is not inherited from age, obscurity, or ritual association.
- Claim ID
CLM-K04-REP-061-F09- Status
- RESEARCH FINDING
- Scope
- Governed finding 9 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · Algorithmic Conflict Resolution and Rule Ordering · GOVERNED REPORT FINDING
Dead Languages in Machine Intelligence — finding 10
K08 reframes the useful insight as versioned controlled semantics with public definitions, conformance tests, and correction history.
- Claim ID
CLM-K04-REP-061-F10- Status
- RESEARCH FINDING
- Scope
- Governed finding 10 from report REP-K08-061; public reliance is limited to the report synthesis, source hash, correction state, and stated project claim status.
Qualification: The active synthesis preserves the proposal or research finding while rejecting any inference that Runic notation, linguistic age, a benchmark estimate, a signature, a domain encoding, or a report proves superiority, security, authority, truth, deployment, operation, or historical translation.
Support relationship
REP-K08-061 · The Eradication of Semantic Drift and Representational Misalignment · GOVERNED REPORT FINDING