Pith Number
pith:GH4QI74V
pith:2019:GH4QI74VOJ6DYMLXKRUB2MH5TR
not attested
not anchored
not stored
refs pending
ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning
arxiv:1908.07410 v1 · 2019-08-20 · cs.CV · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GH4QI74VOJ6DYMLXKRUB2MH5TR}
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 | 2026-07-04T23:58:34.147653Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
31f9047f95727c3c317754681d30fd9c75412aeca013f222a3647b2c883bd41d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GH4QI74VOJ6DYMLXKRUB2MH5TR \
| 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: 31f9047f95727c3c317754681d30fd9c75412aeca013f222a3647b2c883bd41d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e112fdb061fbdbb868fb2a34cfbff9605cdcc15d9a72cd795f2f86a17c4f128f",
"cross_cats_sorted": [
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-08-20T15:06:24Z",
"title_canon_sha256": "df4f41a86fff27b961799a4926c5ed6ff471cc070ae3f67d1a7852b00f745d60"
},
"schema_version": "1.0",
"source": {
"id": "1908.07410",
"kind": "arxiv",
"version": 1
}
}