pith:IGPFAYCX
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
Proxy state-based evaluation replaces costly deterministic backends with LLM trackers and judges for benchmarking multi-turn tool-calling agents.
arxiv:2602.16246 v3 · 2026-02-18 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IGPFAYCXFTYJWAYOSLHXOQ4TAP}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
Claims
Proxy state-based evaluation offers a practical, scalable alternative to deterministic agentic benchmarks for industrial LLM agents, producing stable model-differentiating rankings and on-/off-policy supervision that transfers to unseen scenarios.
That LLM state trackers and judges, when given carefully specified scenarios, can infer accurate proxy states and verify goal completion with near-zero hallucination rates and high reliability.
Introduces Proxy State-Based Evaluation as a scalable LLM-based method for verifiable assessment of multi-turn tool-calling agents using proxy states inferred from interaction traces.
Formal links
Receipt and verification
| First computed | 2026-05-18T02:44:31.143396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
419e5060572cf09b030e92cf77439303ed3a8dde833cd41f12183ab4a2884b89
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IGPFAYCXFTYJWAYOSLHXOQ4TAP \
| 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: 419e5060572cf09b030e92cf77439303ed3a8dde833cd41f12183ab4a2884b89
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3122410118920069546efceb4c409f16fc4600b24e7703a8fdcb3fc53e8ff3f0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-02-18T07:49:47Z",
"title_canon_sha256": "635d77fbd1eda53c4cd6f4a49799b35c1f57cb644153e4e92193aa1e23a02da9"
},
"schema_version": "1.0",
"source": {
"id": "2602.16246",
"kind": "arxiv",
"version": 3
}
}