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pith:2026:24LDJL2TQ3M2O2CAASH362AG57
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RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement

Abhay Venkatesh, Brendan Evers, Sam Saltwick, Will LeVine

RubricRefine generates task-specific rubrics to score and repair tool-use code for contract violations before any execution occurs.

arxiv:2605.09730 v3 · 2026-05-10 · cs.LG · cs.SE

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Claims

C1strongest claim

With zero execution attempts, RubricRefine reaches 0.86 on M3ToolEval averaged across seven models-improving over prior inference-time baselines on every model tested on this benchmark, at 2.6X lower latency than the strongest non-iterative alternative.

C2weakest assumption

That inter-tool contract violations (wrong output shape, incorrect routing, broken argument provenance) are the dominant failures and that automatically generated rubrics can reliably detect them without any execution feedback or model-specific tuning.

C3one line summary

RubricRefine improves tool-use agent reliability to 0.86 on M3ToolEval by generating rubrics for pre-execution contract checking and iterative repair, outperforming baselines at 2.6X lower latency while showing no gain on single-step tasks.

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1 paper in Pith

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First computed 2026-05-20T00:02:12.784330Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d71634af5386d9a76840048fbf6806efd7f792b4d4c5c15d26dc2bd2c693b728

Aliases

arxiv: 2605.09730 · arxiv_version: 2605.09730v3 · doi: 10.48550/arxiv.2605.09730 · pith_short_12: 24LDJL2TQ3M2 · pith_short_16: 24LDJL2TQ3M2O2CA · pith_short_8: 24LDJL2T
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/24LDJL2TQ3M2O2CAASH362AG57 \
  | 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: d71634af5386d9a76840048fbf6806efd7f792b4d4c5c15d26dc2bd2c693b728
Canonical record JSON
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