Pith Number
pith:3V3JDOR2
pith:2017:3V3JDOR25MSTUDERNPRSVHPGWZ
not attested
not anchored
not stored
refs pending
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image
arxiv:1705.02883 v2 · 2017-05-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3V3JDOR25MSTUDERNPRSVHPGWZ}
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 | 2026-05-18T00:35:55.175961Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd7691ba3aeb253a0c916be32a9de6b64e9cd0f1032feabae7add38f5be9527a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3V3JDOR25MSTUDERNPRSVHPGWZ \
| 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: dd7691ba3aeb253a0c916be32a9de6b64e9cd0f1032feabae7add38f5be9527a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ea3093c17a78f3435463d28a2e93283695fa0f096ad30da98d454ab40fafd5e4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-05-08T14:03:48Z",
"title_canon_sha256": "92e5f013ac3e2fc6ac0069dd5da3f8bbb751a9a414538a3ad3b22cf2a280c882"
},
"schema_version": "1.0",
"source": {
"id": "1705.02883",
"kind": "arxiv",
"version": 2
}
}