Pith Number
pith:LGQNDSVC
pith:2018:LGQNDSVCKADO5ELYOK72JSQO77
not attested
not anchored
not stored
refs pending
3D Human Pose Estimation in the Wild by Adversarial Learning
arxiv:1803.09722 v2 · 2018-03-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LGQNDSVCKADO5ELYOK72JSQO77}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:18:30.824688Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59a0d1caa25006ee917872bfa4ca0effddeec7a385ec12d3c5275b000aca5a83
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LGQNDSVCKADO5ELYOK72JSQO77 \
| 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: 59a0d1caa25006ee917872bfa4ca0effddeec7a385ec12d3c5275b000aca5a83
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1754fb2da9d052d8aa01889bc35f0d52bd7473181c373e8988b5ee1f2d4c240a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-26T17:24:40Z",
"title_canon_sha256": "bf0ccf37bbf0ba6968689afbd2d801a10ca35c39952cac03196647baa5241297"
},
"schema_version": "1.0",
"source": {
"id": "1803.09722",
"kind": "arxiv",
"version": 2
}
}