Pith Number
pith:2NO3ZZJV
pith:2024:2NO3ZZJVFIWLPQFFV23WQJXJIG
not attested
not anchored
not stored
refs pending
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition
arxiv:2412.12887 v1 · 2024-12-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2NO3ZZJVFIWLPQFFV23WQJXJIG}
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 | 2026-07-05T09:50:22.217130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d35dbce5352a2cb7c0a5aeb76826e9418c88806faf9bd1256ba350a3447bd07d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2NO3ZZJVFIWLPQFFV23WQJXJIG \
| 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: d35dbce5352a2cb7c0a5aeb76826e9418c88806faf9bd1256ba350a3447bd07d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e87436825a2bf5f9fe96d4830f1051c2d42753c233ce47f7df63179b154055d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-17T13:11:48Z",
"title_canon_sha256": "69110d7bc995194fe8b8108cacb6333f860329df53b6ff211673569e3e8502a7"
},
"schema_version": "1.0",
"source": {
"id": "2412.12887",
"kind": "arxiv",
"version": 1
}
}