pith:CBTWUTSQ
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization
Representing agent workflows as evolvable AOE-style networks and co-evolving their topologies with reasoning paths improves automated operations research performance and adds structural interpretability.
arxiv:2604.17708 v2 · 2026-04-20 · cs.AI
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\pithnumber{CBTWUTSQUSOMTXE33ZDWOGRHUT}
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Record completeness
Claims
Empirical results on heterogeneous OR benchmarks show that the proposed framework consistently improves over zero-shot LLMs, fixed-pipeline OR agents, and representative evolutionary agent frameworks.
That representing agent workflows as AOE-style networks and applying graph-mediated path-conditioned recombination plus multi-granularity semantic mutation will produce meaningful, generalizable improvements in complex OR reasoning and execution.
EvoOR-Agent co-evolves agent architectures as AOE-style networks with graph-mediated recombination and knowledge-base-assisted mutation to outperform fixed LLM pipelines on OR benchmarks.
Receipt and verification
| First computed | 2026-06-03T01:05:50.526562Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
10676a4e50a49cc9dc9bde47671a27a4d089fd7f4b48267e9d4d9418ed222f61
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CBTWUTSQUSOMTXE33ZDWOGRHUT \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 10676a4e50a49cc9dc9bde47671a27a4d089fd7f4b48267e9d4d9418ed222f61
Canonical record JSON
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