Pith Number
pith:UGASIPFC
pith:2013:UGASIPFCQWEEKMTAVOW36FOXNM
not attested
not anchored
not stored
refs pending
The Classification Accuracy of Multiple-Metric Learning Algorithm on Multi-Sensor Fusion
arxiv:1309.3006 v2 · 2013-09-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UGASIPFCQWEEKMTAVOW36FOXNM}
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
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4
Citations
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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 | 2026-05-18T03:12:11.207346Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a181243ca28588453260abadbf15d76b3f12cfe425cf1a18d8b97d9d59ec2c6b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UGASIPFCQWEEKMTAVOW36FOXNM \
| 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: a181243ca28588453260abadbf15d76b3f12cfe425cf1a18d8b97d9d59ec2c6b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8cee3eb02307e3e06a3e696e59b24dee27a01b12c209089cbc480feedf45fdd7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2013-09-11T23:58:23Z",
"title_canon_sha256": "6f3f8f897df9840b52da8c4177546f7c839c07f9456f51c508c7d8647a74e909"
},
"schema_version": "1.0",
"source": {
"id": "1309.3006",
"kind": "arxiv",
"version": 2
}
}