Pith Number

pith:FNKFTAPB

pith:2024:FNKFTAPBE3CT46KJITSHI52Z3A

not attested not anchored not stored refs pending

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks

Declan Campbell, Jonathan D. Cohen, Sreejan Kumar, Thomas L. Griffiths, Tyler Giallanza

arxiv:2402.04203 v1 · 2024-02-06 · cs.AI · q-bio.NC

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{FNKFTAPBE3CT46KJITSHI52Z3A}

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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

Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts

Receipt and verification

First computed	2026-07-05T07:42:04.868994Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2b545981e126c53e794944e4747759d806f9079cc729ea166e747821ce1feb1d

Aliases

arxiv: 2402.04203 · arxiv_version: 2402.04203v1 · doi: 10.48550/arxiv.2402.04203 · pith_short_12: FNKFTAPBE3CT · pith_short_16: FNKFTAPBE3CT46KJ · pith_short_8: FNKFTAPB

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/FNKFTAPBE3CT46KJITSHI52Z3A \
  | 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: 2b545981e126c53e794944e4747759d806f9079cc729ea166e747821ce1feb1d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9b676faee9827b06f9176f09237b845d1e23a90e2181a684a2d966c07e52cf89",
    "cross_cats_sorted": [
      "q-bio.NC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-02-06T17:59:46Z",
    "title_canon_sha256": "c1038f48a5d96a2917648bf47d886a51c2c9e2f47e31a1047872470d03869a00"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.04203",
    "kind": "arxiv",
    "version": 1
  }
}