Pith Number
pith:XENRZ72L
pith:2023:XENRZ72LLDDF7OVQZZ6RZ72NKF
not attested
not anchored
not stored
refs pending
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
arxiv:2301.04257 v2 · 2023-01-11 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XENRZ72LLDDF7OVQZZ6RZ72NKF}
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 | 2026-07-05T08:44:08.299603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b91b1cff4b58c65fbab0ce7d1cff4d516d77b72c6a0ba3b72f56693ce4e2c27d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XENRZ72LLDDF7OVQZZ6RZ72NKF \
| 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: b91b1cff4b58c65fbab0ce7d1cff4d516d77b72c6a0ba3b72f56693ce4e2c27d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a18da71ee2a6ac6161d684a9c53548df3c69b60087dbc18b712e0be36c8a7b2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-01-11T01:02:27Z",
"title_canon_sha256": "46e8384483a928248f14697f718a32132c4ed7c8341672a8eecba165428c4d0f"
},
"schema_version": "1.0",
"source": {
"id": "2301.04257",
"kind": "arxiv",
"version": 2
}
}