Pith Number
pith:NJ4HXLAJ
pith:2025:NJ4HXLAJY6P7GSYWMYNHEONCBG
not attested
not anchored
not stored
refs pending
Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning
arxiv:2505.24676 v1 · 2025-05-30 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NJ4HXLAJY6P7GSYWMYNHEONCBG}
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
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claim
4
Citations
5
Replications
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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.
Receipt and verification
| First computed | 2026-07-05T11:12:54.452919Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a787bac09c79ff34b16661a7239a209a9ffd759103ab0a2e4cf93b0f5a26df0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NJ4HXLAJY6P7GSYWMYNHEONCBG \
| 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: 6a787bac09c79ff34b16661a7239a209a9ffd759103ab0a2e4cf93b0f5a26df0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9cc1cdd99139352b2a21d95ac060fb57d629447f9dd220cc0b0b4333aa5493d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-30T15:04:21Z",
"title_canon_sha256": "c0f79a1cff3b6f3694f24f3420dfc0e7b36632b4cb8d837ae6c6f28b8775db83"
},
"schema_version": "1.0",
"source": {
"id": "2505.24676",
"kind": "arxiv",
"version": 1
}
}