Pith Number
pith:WBBJ2DMI
pith:2019:WBBJ2DMINLVJ7HATIFMQYEA4JL
not attested
not anchored
not stored
refs pending
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
arxiv:1911.01816 v1 · 2019-11-05 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WBBJ2DMINLVJ7HATIFMQYEA4JL}
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 | 2026-07-05T00:17:22.097640Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0429d0d886aea9f9c1341590c101c4ac820f09c81292844e2b7a1d47f164285
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WBBJ2DMINLVJ7HATIFMQYEA4JL \
| 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: b0429d0d886aea9f9c1341590c101c4ac820f09c81292844e2b7a1d47f164285
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "172f515a1ef50e5ce74728a26dce3ef274db0c57bceb1dcd7ab528df25a65c65",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-11-05T14:43:00Z",
"title_canon_sha256": "3761951d73b569c3375a31d5b1492fe32a546c4f3403dbe52be3fd6b0ffb2e6d"
},
"schema_version": "1.0",
"source": {
"id": "1911.01816",
"kind": "arxiv",
"version": 1
}
}