pith:JIH6W2XT
Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
Dual clusters of historical solutions let LLMs resolve conflicting modeling paradigms in optimization problems.
arxiv:2604.20183 v2 · 2026-04-22 · cs.CL
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Claims
DCM-Agent achieves an average performance improvement of 11%-21% across seven optimization benchmarks, with a knowledge inheritance phenomenon where memory constructed by larger models guides smaller models toward superior performance.
That historical solutions from prior problems can be reliably clustered and distilled into generalizable, non-overfitting guidance that transfers to new optimization instances with multi-paradigm ambiguity.
DCM-Agent improves LLM performance on multi-paradigm optimization problems by 11-21% via dual-cluster memory construction and dynamic inference guidance.
Receipt and verification
| First computed | 2026-06-03T01:05:50.563514Z |
|---|---|
| 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/JIH6W2XTAZXLR2GL3M7TAJW3L6 \
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# expect: 4a0feb6af3066eb8e8cbdb3f3026db5f9eabb3fb95b7b825d45a0c9eaad31801
Canonical record JSON
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