Pith Number
pith:KBVWUW2P
pith:2020:KBVWUW2PEL6GOLTCENPHF4JACM
not attested
not anchored
not stored
refs pending
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework
arxiv:2012.08153 v1 · 2020-12-15 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KBVWUW2PEL6GOLTCENPHF4JACM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T01:59:40.623162Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
506b6a5b4f22fc672e62235e72f1201335596959a70124a6adaf75c38e03ca27
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KBVWUW2PEL6GOLTCENPHF4JACM \
| 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: 506b6a5b4f22fc672e62235e72f1201335596959a70124a6adaf75c38e03ca27
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca7da9fb140776011b5ddb6546129b69c598d4ed55d2f9be61319c04ed64e42a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-12-15T08:51:20Z",
"title_canon_sha256": "ec56c3f5baea8a212ab4d9cfdd22d5ab7eb5eafc6a8b30b275ef08398bdf6512"
},
"schema_version": "1.0",
"source": {
"id": "2012.08153",
"kind": "arxiv",
"version": 1
}
}