Pith Number
pith:CMKDWE6Q
pith:2018:CMKDWE6QPVZRQTHFGT5KUDDUR6
not attested
not anchored
not stored
refs pending
Improving MMD-GAN Training with Repulsive Loss Function
arxiv:1812.09916 v4 · 2018-12-24 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CMKDWE6QPVZRQTHFGT5KUDDUR6}
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 | 2026-05-17T23:54:31.393004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13143b13d07d73184ce534faaa0c748fae106cef78b31d62ab9416fde25fce32
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CMKDWE6QPVZRQTHFGT5KUDDUR6 \
| 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: 13143b13d07d73184ce534faaa0c748fae106cef78b31d62ab9416fde25fce32
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9271665a04e6802a44b634b3b2f2edda6d2fb598adbdfe968aefdb51354c5026",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-12-24T13:23:18Z",
"title_canon_sha256": "5e585c8bf758b12b17e7961035781a079460e965c6297d4acbb7295517e77efa"
},
"schema_version": "1.0",
"source": {
"id": "1812.09916",
"kind": "arxiv",
"version": 4
}
}