Pith Number
pith:OOZOC2ZP
pith:2017:OOZOC2ZPZSCRHMESTEZXKBVCDK
not attested
not anchored
not stored
refs pending
Detecting hip fractures with radiologist-level performance using deep neural networks
arxiv:1711.06504 v1 · 2017-11-17 · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OOZOC2ZPZSCRHMESTEZXKBVCDK}
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 | 2026-05-18T00:30:20.896147Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73b2e16b2fcc8513b09299337506a21aa7bec5dfe3f01cff6b07034c83994e83
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OOZOC2ZPZSCRHMESTEZXKBVCDK \
| 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: 73b2e16b2fcc8513b09299337506a21aa7bec5dfe3f01cff6b07034c83994e83
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69ba807dca1fee9d1ad88d4d4a05423f1c7b1280de3d590bb8e7374406edd4db",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-17T11:56:07Z",
"title_canon_sha256": "19848dbc94f2a001a74fd00214c7e1d48e4eca4d29b769754252cbaeefa456e4"
},
"schema_version": "1.0",
"source": {
"id": "1711.06504",
"kind": "arxiv",
"version": 1
}
}