Pith Number
pith:VBOUW2PY
pith:2025:VBOUW2PYHZ3VC3YBFI7ERNBQZX
not attested
not anchored
not stored
refs pending
Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition
arxiv:2506.12848 v1 · 2025-06-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VBOUW2PYHZ3VC3YBFI7ERNBQZX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:22:01.290836Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VBOUW2PYHZ3VC3YBFI7ERNBQZX \
| 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: a85d4b69f83e77516f012a3e48b430cdec7652e44d002d14bfceb449f1426071
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "796b9895e3a66aa0ad5bdb633f70b7704fb8d59e750a2be0c9aa8326032599be",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-15T13:42:21Z",
"title_canon_sha256": "525996180d998720965fda52c3f39699db40612394bd070fa5a2d9b0dd4cf47d"
},
"schema_version": "1.0",
"source": {
"id": "2506.12848",
"kind": "arxiv",
"version": 1
}
}