Pith Number
pith:O5UTGPTT
pith:2023:O5UTGPTTQUCR3N5OGJ7NYRTKYJ
not attested
not anchored
not stored
refs pending
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation Learning
arxiv:2309.00297 v2 · 2023-09-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O5UTGPTTQUCR3N5OGJ7NYRTKYJ}
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 | 2026-07-05T09:20:37.384841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7769333e7385051db7ae327edc466ac2592ff1a9b7ca5a303b66eb484d1c897d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O5UTGPTTQUCR3N5OGJ7NYRTKYJ \
| 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: 7769333e7385051db7ae327edc466ac2592ff1a9b7ca5a303b66eb484d1c897d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f513895dccdfd49e2b75970675285fe688fdc2f3e5a65e1a1bac1b17ea9f90d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-01T07:03:27Z",
"title_canon_sha256": "50acca92eb138213d90d60f1b488313c87f37d1e24df2e37d1b5f0a9977a79b3"
},
"schema_version": "1.0",
"source": {
"id": "2309.00297",
"kind": "arxiv",
"version": 2
}
}