Pith Number
pith:73GBAGXK
pith:2020:73GBAGXKF3JYKEHAF3EAKM2F2Y
not attested
not anchored
not stored
refs pending
HEMlets PoSh: Learning Part-Centric Heatmap Triplets for 3D Human Pose and Shape Estimation
arxiv:2003.04894 v3 · 2020-03-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{73GBAGXKF3JYKEHAF3EAKM2F2Y}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:06:07.378368Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fecc101aea2ed38510e02ec8053345d6284e948ddbde4fb57bd4012c340a6e50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/73GBAGXKF3JYKEHAF3EAKM2F2Y \
| 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: fecc101aea2ed38510e02ec8053345d6284e948ddbde4fb57bd4012c340a6e50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a7a271b0a4c50ba24f389442cb3c4eb79d28acecfafebd793820bb9889c40cae",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-03-10T04:03:45Z",
"title_canon_sha256": "280bb314f4dd9b7e3acbb8041353d3e16a1018db801fa9d11ad189996fd23015"
},
"schema_version": "1.0",
"source": {
"id": "2003.04894",
"kind": "arxiv",
"version": 3
}
}