Pith Number
pith:7DO72O5J
pith:2025:7DO72O5JIDGTNCPTSHU5DLKECO
not attested
not anchored
not stored
refs pending
A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs
arxiv:2501.11236 v1 · 2025-01-20 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7DO72O5JIDGTNCPTSHU5DLKECO}
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 | 2026-07-05T10:03:05.537542Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8ddfd3ba940cd3689f391e9d1ad4413bdc793c26614b0dbe57a523fd346a1db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DO72O5JIDGTNCPTSHU5DLKECO \
| 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: f8ddfd3ba940cd3689f391e9d1ad4413bdc793c26614b0dbe57a523fd346a1db
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3553565bbef5d730d20be39882f16a7059a261d0117aa8c2469a716db327cc65",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-20T02:48:07Z",
"title_canon_sha256": "9468ce99a4a5adf39e44f44aa8779f42b160ddbdd41264b0103c874d055af941"
},
"schema_version": "1.0",
"source": {
"id": "2501.11236",
"kind": "arxiv",
"version": 1
}
}