Pith Number
pith:F3VUCQID
pith:2017:F3VUCQID6MDHQECJYRASAJOHRL
not attested
not anchored
not stored
refs pending
Learning Uncertain Convolutional Features for Accurate Saliency Detection
arxiv:1708.02031 v1 · 2017-08-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F3VUCQID6MDHQECJYRASAJOHRL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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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 | 2026-05-18T00:38:32.475361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2eeb414103f306781049c4412025c78ad6441cd29be3e7f5718c296642f4dfe0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F3VUCQID6MDHQECJYRASAJOHRL \
| 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: 2eeb414103f306781049c4412025c78ad6441cd29be3e7f5718c296642f4dfe0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "994e7dea26a6bf2d83c4bebe8a2d577f39dc147c64847b5c9d42dfeb742b5507",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-07T08:18:04Z",
"title_canon_sha256": "67b9b54cafad5710f98d5178ac7dd3f01310af490b72d22f87e397d94417931d"
},
"schema_version": "1.0",
"source": {
"id": "1708.02031",
"kind": "arxiv",
"version": 1
}
}