Pith Number
pith:OCBN4PYT
pith:2025:OCBN4PYT5JFHNBCZ6ZHOYLQNEW
not attested
not anchored
not stored
refs pending
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
arxiv:2502.10587 v1 · 2025-02-14 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OCBN4PYT5JFHNBCZ6ZHOYLQNEW}
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 | 2026-07-05T10:14:54.816718Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7082de3f13ea4a768459f64eec2e0d25b1e15d3acde6a6b93b1bbc4693ae826b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OCBN4PYT5JFHNBCZ6ZHOYLQNEW \
| 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: 7082de3f13ea4a768459f64eec2e0d25b1e15d3acde6a6b93b1bbc4693ae826b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e9cceba33c729a8e75c5c8635ee0d7b211c1a3e18bc92ac3420694c120cd4b84",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-14T22:37:11Z",
"title_canon_sha256": "be17c99418266ea704d9f178d1810961a3490c3240c1e4ad70f513358224644b"
},
"schema_version": "1.0",
"source": {
"id": "2502.10587",
"kind": "arxiv",
"version": 1
}
}