Pith Number
pith:KBA5ZUNA
pith:2017:KBA5ZUNAFUCSROQHREUBGJ3C2V
not attested
not anchored
not stored
refs pending
Can Image Retrieval help Visual Saliency Detection?
arxiv:1709.08172 v1 · 2017-09-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBA5ZUNAFUCSROQHREUBGJ3C2V}
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 | 2026-05-18T00:34:27.801351Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5041dcd1a02d0528ba078928132762d54f329ffbeecacfa04ab6e7f416d09b55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBA5ZUNAFUCSROQHREUBGJ3C2V \
| 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: 5041dcd1a02d0528ba078928132762d54f329ffbeecacfa04ab6e7f416d09b55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7ac78a0fd1fab620cef4d20ff8dad61c7f3b277f9db0b3875b82146c0876d35",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-24T09:50:48Z",
"title_canon_sha256": "030224e490f8c8a4cd43aad06c425cbeacea60339bc994099893687b6cb4682c"
},
"schema_version": "1.0",
"source": {
"id": "1709.08172",
"kind": "arxiv",
"version": 1
}
}