pith:RCF65HK3
SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment
Success rate alone creates a capability illusion for LLM agents, while the sequential convergence of token consumption distinguishes genuine self-evolution from pseudo-evolution.
arxiv:2604.08988 v3 · 2026-04-10 · cs.AI
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Claims
under identical success rates, token consumption differs by up to 31.2× across frameworks, with divergent evolutionary trajectories under sequential analysis -- demonstrating that success rate alone creates a capability illusion and that the sequential convergence of T is the key criterion for distinguishing genuine evolution from pseudo-evolution.
That the sequential task stream design in SEA-Eval enables independent quantification of evolutionary gain, stability, and alignment without confounding from task similarity, agent initialization, or unstated priors in the Flywheel architecture.
SEA-Eval is the first benchmark for self-evolving agents that uses sequential tasks to show success rate alone misleads while convergence in token efficiency T distinguishes genuine evolution.
Formal links
Receipt and verification
| First computed | 2026-05-26T01:03:29.708097Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
888bee9d5bf21edbb28c535eadf8423679e0bbad79c4da371aa9d912cd88008f
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/RCF65HK36IPNXMUMKNPK36CCGZ \
| 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())"
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Canonical record JSON
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