Pith Number
pith:F72U5T6H
pith:2022:F72U5T6HKGS4T2JDO6IB3PTNHD
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Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images
arxiv:2206.10531 v1 · 2022-06-21 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F72U5T6HKGS4T2JDO6IB3PTNHD}
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
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claim
4
Citations
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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 | 2026-07-05T05:02:12.281918Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ff54ecfc751a5c9e92377901dbe6d38e27815cb8a5dd0684a3d465fcbf9c95e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F72U5T6HKGS4T2JDO6IB3PTNHD \
| 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: 2ff54ecfc751a5c9e92377901dbe6d38e27815cb8a5dd0684a3d465fcbf9c95e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6f58b72bed14d4f918301792e87da7018351e8530fdc163d5b64d392f95fa93c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-06-21T17:00:36Z",
"title_canon_sha256": "9e665f5bfb4c4281993b32a5ca2eb6a877c0396aedf33ef53b84c90598b5674e"
},
"schema_version": "1.0",
"source": {
"id": "2206.10531",
"kind": "arxiv",
"version": 1
}
}