Pith Number
pith:LOFY7KXK
pith:2018:LOFY7KXKO5QOIEOG56BBB2E7ZX
not attested
not anchored
not stored
refs pending
Improved Training of Generative Adversarial Networks Using Representative Features
arxiv:1801.09195 v3 · 2018-01-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LOFY7KXKO5QOIEOG56BBB2E7ZX}
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 | 2026-05-18T00:11:49.982395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b8b8faaea7760e411c6ef8210e89fcdeb8f2382d0c6a4748cc89e35896e730c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LOFY7KXKO5QOIEOG56BBB2E7ZX \
| 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: 5b8b8faaea7760e411c6ef8210e89fcdeb8f2382d0c6a4748cc89e35896e730c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc69e520bfdc6355579dddaa07247f81998dc4d9286a7f296cb1985cca99fc04",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-01-28T08:28:20Z",
"title_canon_sha256": "2d63193d5cc4641c7b55d40af5dc5523450b6d7acecf4e37dcd0b1dacbfd18a6"
},
"schema_version": "1.0",
"source": {
"id": "1801.09195",
"kind": "arxiv",
"version": 3
}
}