Pith Number

pith:ICFPD3B6

pith:2023:ICFPD3B6J57CCETNMDURLLAL6X

not attested not anchored not stored refs pending

In-Context Analogical Reasoning with Pre-Trained Language Models

Joyce Chai, Richard L. Lewis, Shane Storks, Xiaoyang Hu

arxiv:2305.17626 v2 · 2023-05-28 · cs.AI · cs.CL · cs.LG

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\usepackage{pith}
\pithnumber{ICFPD3B6J57CCETNMDURLLAL6X}

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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

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories

Receipt and verification

First computed	2026-07-05T06:17:07.936252Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

408af1ec3e4f7e21126d60e915ac0bf5cad0b70b25fa196e419179891227fb17

Aliases

arxiv: 2305.17626 · arxiv_version: 2305.17626v2 · doi: 10.48550/arxiv.2305.17626 · pith_short_12: ICFPD3B6J57C · pith_short_16: ICFPD3B6J57CCETN · pith_short_8: ICFPD3B6

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/ICFPD3B6J57CCETNMDURLLAL6X \
  | 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: 408af1ec3e4f7e21126d60e915ac0bf5cad0b70b25fa196e419179891227fb17

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c68be5ea0da0cfefa8640a847a36969a3a9c0fc7b1dd623d64fae9fa362a63fc",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-05-28T04:22:26Z",
    "title_canon_sha256": "883bc5d948cf353f308e3b8cef6f454a439a3e4def226526b19296c55892b84a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2305.17626",
    "kind": "arxiv",
    "version": 2
  }
}