Pith Number
pith:QXJI5MUP
pith:2021:QXJI5MUPVQ4XNNRWFXBOVSE33D
not attested
not anchored
not stored
refs pending
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
arxiv:2109.10282 v5 · 2021-09-21 · cs.CL · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QXJI5MUPVQ4XNNRWFXBOVSE33D}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:54:46.880982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
85d28eb28fac3976b6362dc2eac89bd8eeabfa9a77e16aec9c80c5adaf4e6e5f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QXJI5MUPVQ4XNNRWFXBOVSE33D \
| 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: 85d28eb28fac3976b6362dc2eac89bd8eeabfa9a77e16aec9c80c5adaf4e6e5f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e1b933274d74ed3d9d68d4b2a769e7f256c3525e87903bac4ba8a1dc52ac96a",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-09-21T16:01:56Z",
"title_canon_sha256": "01b0666ea9d4bad14d14a476e9d9196fbb042fb6dcd8d6a7ebf2734123cf85ef"
},
"schema_version": "1.0",
"source": {
"id": "2109.10282",
"kind": "arxiv",
"version": 5
}
}