Pith Number
pith:6HNFVA3O
pith:2025:6HNFVA3OXYZMFDNF5XWCBIAD57
not attested
not anchored
not stored
refs pending
Joint angle based learning to refine kinematic human pose estimation
arxiv:2507.11075 v2 · 2025-07-15 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6HNFVA3OXYZMFDNF5XWCBIAD57}
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 | 2026-06-01T01:02:17.566844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f1da5a836ebe32c28da5edec20a003efcf16107f06af5154d0c7eb4a579fd3c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6HNFVA3OXYZMFDNF5XWCBIAD57 \
| 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: f1da5a836ebe32c28da5edec20a003efcf16107f06af5154d0c7eb4a579fd3c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c438cd7f5f21a5765118306957b9152d7b9ebb9bd89fbcf5f57c5650a7c67320",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-15T08:16:39Z",
"title_canon_sha256": "7740d70269189f068cb2ced045f5e5e5d50797c0f0f16ffeb798d9bb393c05cb"
},
"schema_version": "1.0",
"source": {
"id": "2507.11075",
"kind": "arxiv",
"version": 2
}
}