Pith Number
pith:SXFWJJVS
pith:2018:SXFWJJVSP56QWQGLPQPSMRLC6R
not attested
not anchored
not stored
refs pending
BodyNet: Volumetric Inference of 3D Human Body Shapes
arxiv:1804.04875 v3 · 2018-04-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SXFWJJVSP56QWQGLPQPSMRLC6R}
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 | 2026-05-18T00:07:49.728399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
95cb64a6b27f7d0b40cb7c1f264562f44f32ba6f2549110a6056ff26b635b0c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SXFWJJVSP56QWQGLPQPSMRLC6R \
| 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: 95cb64a6b27f7d0b40cb7c1f264562f44f32ba6f2549110a6056ff26b635b0c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d2915d748a880724a781473370ec5a5767251248ec99c7e468a4e3deec9cb24a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-13T10:21:40Z",
"title_canon_sha256": "44adc89347fe41c5b195916e24cc0f315986d9ed324e3647c32c5e2bfbe7c3f8"
},
"schema_version": "1.0",
"source": {
"id": "1804.04875",
"kind": "arxiv",
"version": 3
}
}