pith:C3LF7NXL
Rule Extraction in Machine Learning: Chat Incremental Pattern Constructor
ChatIPC extracts ordered token-transition rules from text and builds responses by similarity selection on a token graph.
arxiv:2208.00335 v5 · 2022-07-31 · cs.LG
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Record completeness
Claims
ChatIPC is a lightweight incremental symbolic learning system that extracts ordered token-transition rules from text, enriches them with definition-based expansion, and constructs responses by similarity-guided candidate selection, operating over a token graph rather than a conventional classifier.
That similarity-guided selection on the token-transition graph, combined with definition expansion, will reliably produce coherent and useful responses (assumed without stated validation or comparison to baselines).
ChatIPC extracts ordered token-transition rules from text via incremental learning and definition expansion, then constructs responses through similarity-guided selection on a token graph.
Receipt and verification
| First computed | 2026-06-02T01:03:27.769592Z |
|---|---|
| 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/C3LF7NXLM34T2VHRO7FXXRWSVD \
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# expect: 16d65fb6eb66f93d54f177cb7bc6d2a8d550f4fc4d0804171fb2849cdb9cc003
Canonical record JSON
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