pith:3L7WU6I5
Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure
Organizational AI is limited by missing epistemic structure in knowledge rather than by retrieval quality alone.
arxiv:2604.11759 v2 · 2026-04-13 · cs.AI
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Record completeness
Claims
the ceiling on organizational AI is not retrieval fidelity but epistemic fidelity--the system's ability to represent commitment strength, contradiction status, and organizational ignorance as computable properties.
That the added epistemic metadata and the Knowledge Gravity Engine can be maintained at acceptable cost in real organizations and that the claimed convergence and quality gains survive when token budgets are equalized.
OIDA adds typed knowledge objects, decay-based importance scores, contradiction edges, and an inverse-decay QUESTION primitive for ignorance to raise epistemic fidelity beyond retrieval.
Receipt and verification
| First computed | 2026-05-25T02:02:15.187166Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3L7WU6I5MWUI77P6X4XV5LOFCK \
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# expect: daff6a791d65a88ffdfebf2f5eadc512a28ae985574813c619893629f2c15c8b
Canonical record JSON
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