Pith Number
pith:ZL6GBBI5
pith:2018:ZL6GBBI5FKAMWJSHQLB7HYHB7H
not attested
not anchored
not stored
refs pending
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
arxiv:1809.07988 v1 · 2018-09-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZL6GBBI5FKAMWJSHQLB7HYHB7H}
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 | 2026-05-18T00:05:10.656774Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cafc60851d2a80cb264782c3f3e0e1f9c4d84c7753bd79a8a9533067048b7ac4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZL6GBBI5FKAMWJSHQLB7HYHB7H \
| 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: cafc60851d2a80cb264782c3f3e0e1f9c4d84c7753bd79a8a9533067048b7ac4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d1ee81fb75def1e045707113fbadf470e2d8d44576c8d0ffe407c7f27d714bad",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-09-21T08:36:15Z",
"title_canon_sha256": "b59b0cbbae6c4ff7380cc9fdff1c76b82a1c90d834aed6044d7087409938de63"
},
"schema_version": "1.0",
"source": {
"id": "1809.07988",
"kind": "arxiv",
"version": 1
}
}