Pith Number

pith:NPY6YP34

pith:2026:NPY6YP34APZ5MI354ZUMCQLRI7

not attested not anchored not stored refs pending

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive

Nitesh V. Chawla, Olaf Wiest, Taicheng Guo, Xiangliang Zhang

AutoLLMResearch trains agents to learn LLM configuration principles from cheap low-fidelity experiments and extrapolate them to expensive high-fidelity settings.

arxiv:2605.11518 v2 · 2026-05-12 · cs.AI · cs.CL · cs.LG

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\usepackage{pith}
\pithnumber{NPY6YP34APZ5MI354ZUMCQLRI7}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Extensive evaluation against diverse strong baselines on held-out experiments demonstrates the effectiveness, generalization, and interpretability of our framework, supporting its potential as a practical and general solution for scalable real-world LLM experiment automation.

C2weakest assumption

The multi-fidelity experimental environment captures the structure of the LLM configuration landscape in a way that permits reliable cross-fidelity extrapolation from cheap to expensive settings.

C3one line summary

AutoLLMResearch trains agents via a multi-fidelity environment and MDP pipeline to extrapolate configuration principles from inexpensive to costly LLM experiments.

Receipt and verification

First computed	2026-05-20T00:03:17.856081Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6bf1ec3f7c03f3d6237de668c1417147f4984f5eb2c54e186dcd8fb39d7e817a

Aliases

arxiv: 2605.11518 · arxiv_version: 2605.11518v2 · doi: 10.48550/arxiv.2605.11518 · pith_short_12: NPY6YP34APZ5 · pith_short_16: NPY6YP34APZ5MI35 · pith_short_8: NPY6YP34

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NPY6YP34APZ5MI354ZUMCQLRI7 \
  | 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: 6bf1ec3f7c03f3d6237de668c1417147f4984f5eb2c54e186dcd8fb39d7e817a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7d9902c2e5ce6bdcad9011a826d0381e46c519a8a068eda9c02f43d935297960",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-12T04:42:35Z",
    "title_canon_sha256": "b826a7e59a678a96e962a656cf72aa557db0f8b51b7936393f02a44729e3955f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.11518",
    "kind": "arxiv",
    "version": 2
  }
}