Pith Number
pith:B5QBWH5L
pith:2019:B5QBWH5LEY37T3DQDHS6XN4EC6
not attested
not anchored
not stored
refs pending
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
arxiv:1906.03973 v2 · 2019-06-10 · cs.CV · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5QBWH5LEY37T3DQDHS6XN4EC6}
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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:43:42.075569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f601b1fab2637f9ec7019e5ebb784178fece894448175a7eca05ece8cee973e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5QBWH5LEY37T3DQDHS6XN4EC6 \
| 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: 0f601b1fab2637f9ec7019e5ebb784178fece894448175a7eca05ece8cee973e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ad0415e8100352d5b04e80c25966ad0a078d211816edbaf1de15935076e53311",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-10T13:40:37Z",
"title_canon_sha256": "4c870f7df2265464a465d7e7370fb66a1f829ec9e84fb0a2d92b08b0fef25249"
},
"schema_version": "1.0",
"source": {
"id": "1906.03973",
"kind": "arxiv",
"version": 2
}
}