pith:2RYTZS34
OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search
OASES improves agentic search by co-training policies with outcome-aligned evaluators for better process rewards.
arxiv:2604.03675 v3 · 2026-04-04 · cs.AI · cs.CL · cs.IR
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\pithnumber{2RYTZS34WMZMQI5RTH7DGMX5UU}
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Record completeness
Claims
Experiments on five multi-hop QA benchmarks show that OASES consistently outperforms strong RL baselines, with further analyses confirming the benefits of outcome-aligned process rewards and search-evaluation co-training.
That co-training the evaluator on the evolving policy will produce reliable, non-stale process rewards without introducing new biases or instability that undermine the final outcome alignment.
OASES co-trains search policies and evaluators to generate outcome-aligned process rewards, outperforming standard RL baselines on five multi-hop QA benchmarks.
Formal links
Receipt and verification
| First computed | 2026-05-26T01:03:29.356430Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4713ccb7cb332c823b199fe3332fda529f5dae2b9ae4a1527deb400f9dd1402
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2RYTZS34WMZMQI5RTH7DGMX5UU \
| 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: d4713ccb7cb332c823b199fe3332fda529f5dae2b9ae4a1527deb400f9dd1402
Canonical record JSON
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