Pith Number
pith:5JTUDZNV
pith:2020:5JTUDZNV5QSKSFYMZK3A3GOLKS
not attested
not anchored
not stored
refs pending
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
arxiv:2006.15057 v3 · 2020-06-26 · cs.LG · cs.CV · eess.IV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5JTUDZNV5QSKSFYMZK3A3GOLKS}
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 | 2026-07-05T02:04:57.456676Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea6741e5b5ec24a9170ccab60d99cb54b70c2f7ca210c8c79b45d6bfd1f4d00f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5JTUDZNV5QSKSFYMZK3A3GOLKS \
| 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: ea6741e5b5ec24a9170ccab60d99cb54b70c2f7ca210c8c79b45d6bfd1f4d00f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a084d4b862d1e86adf1cb896ec8bf0f11b8e72c817d78ded62ee0bf9901a72f0",
"cross_cats_sorted": [
"cs.CV",
"eess.IV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-06-26T15:36:11Z",
"title_canon_sha256": "872cd99a2150c81e12cadf4cd8c78bd12f280363a964c32505299dea014a7289"
},
"schema_version": "1.0",
"source": {
"id": "2006.15057",
"kind": "arxiv",
"version": 3
}
}