Pith Number

pith:Q3URT7LL

pith:2025:Q3URT7LL6LPIGNJ26STQZE62PS

not attested not anchored not stored refs pending

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery

Adnan Mahmud, Alan Bundy, Alexander Lavin, Hector Zenil, Huck Yang, James Evans, Jared Dunnmon, Jeremy Frey, Jesper Tegner, Michael Levin, Saso Dzeroski, Sumeer A. Khan, Yanbo Zhang

arxiv:2505.16477 v1 · 2025-05-22 · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{Q3URT7LL6LPIGNJ26STQZE62PS}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.

Cited by

5 papers in Pith

Quantifying Faithful Confidence Expression in Large Reasoning Models

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence?

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone?

Receipt and verification

First computed	2026-07-05T11:07:36.263374Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

86e919fd6bf2de83353af4a70c93da7cb3a5b2316fd4fa50549b9ba92342774a

Aliases

arxiv: 2505.16477 · arxiv_version: 2505.16477v1 · doi: 10.48550/arxiv.2505.16477 · pith_short_12: Q3URT7LL6LPI · pith_short_16: Q3URT7LL6LPIGNJ2 · pith_short_8: Q3URT7LL

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/Q3URT7LL6LPIGNJ26STQZE62PS \
  | 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: 86e919fd6bf2de83353af4a70c93da7cb3a5b2316fd4fa50549b9ba92342774a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7f1bea4440580006993a734771ebb026c9a0dd22722dd3cbedc19998182bc21d",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-05-22T10:05:48Z",
    "title_canon_sha256": "865a1304bbfb6b4ed187fc75127e6fefb081f74ffa6c816a0dd2a8d46d420f00"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.16477",
    "kind": "arxiv",
    "version": 1
  }
}