Pith Number

pith:2GB75OA7

pith:2025:2GB75OA7A6ATDAEEV63PIS5JCB

not attested not anchored not stored refs resolved

Agent Laboratory: Using LLM Agents as Research Assistants

Emad Barsoum, Jialian Wu, Jiang Liu, Michael Moor, Samuel Schmidgall, Xiaodong Yu, Ximeng Sun, Yusheng Su, Ze Wang, Zicheng Liu

Agent Laboratory lets LLM agents carry out the full research process from idea to code repository and report.

arxiv:2501.04227 v2 · 2025-01-08 · cs.HC · cs.AI · cs.CL · cs.LG

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\usepackage{pith}
\pithnumber{2GB75OA7A6ATDAEEV63PIS5JCB}

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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

Agent Laboratory driven by o1-preview generates the best research outcomes; the generated machine learning code is able to achieve state-of-the-art performance compared to existing methods; human involvement significantly improves overall quality; and it achieves an 84% decrease in research expenses compared to previous autonomous research methods.

C2weakest assumption

That the human evaluators invited to assess the outputs provide unbiased, reproducible judgments and that the SOTA comparisons use current, fairly matched baselines without post-hoc selection of tasks or metrics.

C3one line summary

Agent Laboratory is an autonomous LLM framework that completes end-to-end research from idea to report and code, with human feedback improving quality and cutting expenses by 84% while reaching competitive ML performance.

References

16 extracted · 16 resolved · 0 Pith anchors

[1] Agentclinic: A multimodal agent benchmark to evaluate ai in simulated clinical environments 2024

[2] Results, and 8. Discussion. Just create the scaffolding as compilable latex. Your title should start with Research Report: (title here) where title here is a title you choose. For author write Agent L

[3] This is not the place to critique the paper; the authors should generally agree with a well-written summary

[4] Think of the things where a response from the author can change your opinion, clarify a confusion or address a limitation

[5] Limitations: Have the authors adequately addressed the limitations and potential negative societal impact of their work? If not, please include constructive suggestions for improvement. In general, au

Formal links

3 machine-checked theorem links

Cited by

24 papers in Pith

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GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents

Receipt and verification

First computed	2026-05-17T23:38:15.177657Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d183feb81f0781318084afb6f44ba9105750a156f2ea9504bd3b7b2c132f5642

Aliases

arxiv: 2501.04227 · arxiv_version: 2501.04227v2 · doi: 10.48550/arxiv.2501.04227 · pith_short_12: 2GB75OA7A6AT · pith_short_16: 2GB75OA7A6ATDAEE · pith_short_8: 2GB75OA7

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/2GB75OA7A6ATDAEEV63PIS5JCB \
  | 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: d183feb81f0781318084afb6f44ba9105750a156f2ea9504bd3b7b2c132f5642

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "60134504e062ed509777419fbe85f761cfbfe5d36590d086ae3fb354f16fa935",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2025-01-08T01:58:42Z",
    "title_canon_sha256": "2eea69674a838fac30e8504e6339ed62c38737ea128b881f59b4deb534b50845"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.04227",
    "kind": "arxiv",
    "version": 2
  }
}