Pith Number
pith:4JQXCIKZ
pith:2016:4JQXCIKZNMGT22MQ6WTIT7TW46
not attested
not anchored
not stored
refs pending
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
arxiv:1608.03075 v2 · 2016-08-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4JQXCIKZNMGT22MQ6WTIT7TW46}
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 | 2026-05-18T01:04:55.522982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e2617121596b0d3d6990f5a689fe76e78a7756bcf36940261df7a2819dc7bb2a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4JQXCIKZNMGT22MQ6WTIT7TW46 \
| 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: e2617121596b0d3d6990f5a689fe76e78a7756bcf36940261df7a2819dc7bb2a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "86aaeb0ae57e9f072d0913869a24e1111a62285f306f2c516b059db66492e87b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-08-10T08:18:30Z",
"title_canon_sha256": "d93efb8a0d35d5a1e2772a2ebd1049f7c095ec580662458a5ee144dd08640dc1"
},
"schema_version": "1.0",
"source": {
"id": "1608.03075",
"kind": "arxiv",
"version": 2
}
}