Pith Number
pith:VU4F2ZC4
pith:2025:VU4F2ZC4UKI5QHUTXKD4RME3DX
not attested
not anchored
not stored
refs pending
PMG: Progressive Motion Generation via Sparse Anchor Postures Curriculum Learning
arxiv:2504.16722 v1 · 2025-04-23 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VU4F2ZC4UKI5QHUTXKD4RME3DX}
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 | 2026-07-05T10:53:03.676135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad385d645ca291d81e93ba87c8b09b1dc1c51a0f2ba6a9948260680dcb1392c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VU4F2ZC4UKI5QHUTXKD4RME3DX \
| 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: ad385d645ca291d81e93ba87c8b09b1dc1c51a0f2ba6a9948260680dcb1392c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1822bc95e6ae8ffb384c921165e718dd535259554312bad9cf3cd03759e5b973",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-23T13:51:42Z",
"title_canon_sha256": "1f7eadb52f7edde3bbe251afa4eda969e71d6b233cd7bd5aa1f32800a63058b3"
},
"schema_version": "1.0",
"source": {
"id": "2504.16722",
"kind": "arxiv",
"version": 1
}
}