Pith Number
pith:56RF4YDR
pith:2018:56RF4YDRQEQXN6TYUCB677DSFU
not attested
not anchored
not stored
refs pending
Video Saliency Detection by 3D Convolutional Neural Networks
arxiv:1807.04514 v1 · 2018-07-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{56RF4YDRQEQXN6TYUCB677DSFU}
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 | 2026-05-18T00:10:53.236936Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
efa25e6071812176fa78a083effc722d20494d605f1c8d82cf131c2461aae103
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/56RF4YDRQEQXN6TYUCB677DSFU \
| 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: efa25e6071812176fa78a083effc722d20494d605f1c8d82cf131c2461aae103
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b09626fc30f55151327ec94e3fc00237d614074ea9d80dc702f23c57d381d98c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-12T10:18:12Z",
"title_canon_sha256": "7ccb28f56a0919d5d3b58c4fd37645b6543968c4c316e96e823270b13a06b42c"
},
"schema_version": "1.0",
"source": {
"id": "1807.04514",
"kind": "arxiv",
"version": 1
}
}