Pith Number
pith:YPBFRLZJ
pith:2020:YPBFRLZJATTNC3CQHH2U33HQPY
not attested
not anchored
not stored
refs pending
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data
arxiv:2007.10052 v1 · 2020-07-20 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YPBFRLZJATTNC3CQHH2U33HQPY}
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 | 2026-07-05T01:20:32.502991Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c3c258af2904e6d16c5039f54decf07e3d419d3204f3eb1c3344e228563f2466
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YPBFRLZJATTNC3CQHH2U33HQPY \
| 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: c3c258af2904e6d16c5039f54decf07e3d419d3204f3eb1c3344e228563f2466
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3fa954fc4ae88353ac58b418b27c964ead603849ccbeff2a152eb8ec448443a8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-07-20T12:45:38Z",
"title_canon_sha256": "09c246c31c68118e7c9c8a598e3a917954b8c4edc522c336b2e8567e8a48c91b"
},
"schema_version": "1.0",
"source": {
"id": "2007.10052",
"kind": "arxiv",
"version": 1
}
}