pith:24LDJL2T
RubricRefine: Improving Tool-Use Agent Reliability with Training-Free Pre-Execution Refinement
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
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{24LDJL2TQ3M2O2CAASH362AG57}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
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.
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.
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.
Cited by
Receipt and verification
| 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
· · · · ·Agent API
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
{
"metadata": {
"abstract_canon_sha256": "d8622bcaec8443429806e5c6c1146b1770b27141eabf9be38eb837912bb07ce9",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-10T19:57:32Z",
"title_canon_sha256": "ccf23749a1292b2dbad90ba1feda00214e8796edd66e17274099458699cf2c6e"
},
"schema_version": "1.0",
"source": {
"id": "2605.09730",
"kind": "arxiv",
"version": 3
}
}