Pith Number
pith:BJ65W2JV
pith:2017:BJ65W2JV34VGBZWCEZB5MBTTAI
not attested
not anchored
not stored
refs pending
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
arxiv:1712.05053 v2 · 2017-12-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BJ65W2JV34VGBZWCEZB5MBTTAI}
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
✓
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 | 2026-05-18T00:05:14.415028Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0a7ddb6935df2a60e6c22643d606730213cf778c67904a561b7418b2f3ed47a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BJ65W2JV34VGBZWCEZB5MBTTAI \
| 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: 0a7ddb6935df2a60e6c22643d606730213cf778c67904a561b7418b2f3ed47a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d0fc6d0ec61ce9f07f7c173a5fd4805be3e2b1116be8071eeafe8c8ff3b74bd8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-13T23:56:15Z",
"title_canon_sha256": "4a57608a5838715dbeee0537f0da788d1028b39fa77e17a2b2e9960075a4d8a4"
},
"schema_version": "1.0",
"source": {
"id": "1712.05053",
"kind": "arxiv",
"version": 2
}
}