Pith Number

pith:LBHGR6SK

pith:2024:LBHGR6SK3TJKYYWUG5KHQWRV5C

not attested not anchored not stored refs pending

Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo

Haijiang Yan, Jian-Qiao Zhu, Thomas L. Griffiths

arxiv:2401.16657 v1 · 2024-01-30 · cs.AI · cs.CL

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LBHGR6SK3TJKYYWUG5KHQWRV5C}

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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.

Cited by

1 paper in Pith

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models

Receipt and verification

First computed	2026-07-05T07:38:58.360295Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

584e68fa4adcd2ac62d43754785a35e8acac6ac947010a6646900c86f16882e7

Aliases

arxiv: 2401.16657 · arxiv_version: 2401.16657v1 · doi: 10.48550/arxiv.2401.16657 · pith_short_12: LBHGR6SK3TJK · pith_short_16: LBHGR6SK3TJKYYWU · pith_short_8: LBHGR6SK

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/LBHGR6SK3TJKYYWUG5KHQWRV5C \
  | 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: 584e68fa4adcd2ac62d43754785a35e8acac6ac947010a6646900c86f16882e7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8f51c3c1a67a5f2a53c788fdb67785ad07d769b832e261be9bd85542345822ed",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-01-30T01:22:18Z",
    "title_canon_sha256": "6b5e91ae8d5e7b3c6af170a7b82e03199471873e5b038b877185a6694920ceb6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2401.16657",
    "kind": "arxiv",
    "version": 1
  }
}