Pith Number
pith:QJ6H3RJY
pith:2015:QJ6H3RJYVFORMU7Z425XGNNFWM
not attested
not anchored
not stored
refs pending
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification
arxiv:1504.01561 v1 · 2015-04-07 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QJ6H3RJYVFORMU7Z425XGNNFWM}
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
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claim
4
Citations
5
Replications
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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 | 2026-05-18T02:19:26.791398Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
827c7dc538a95d1653f9e6bb7335a5b331c7d7aa92c9ae22459a1a2970c7268e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QJ6H3RJYVFORMU7Z425XGNNFWM \
| 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: 827c7dc538a95d1653f9e6bb7335a5b331c7d7aa92c9ae22459a1a2970c7268e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cfc3ff4135ea74739356349c43ccb33ff7ca4ba45501f89ab1a779e13a51a4df",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-04-07T11:53:46Z",
"title_canon_sha256": "878af094a73a0963d22abb1d03c063ebf9b846bc57ec59ceed498f2b0c681793"
},
"schema_version": "1.0",
"source": {
"id": "1504.01561",
"kind": "arxiv",
"version": 1
}
}