Pith Number
pith:VGR6YFPN
pith:2024:VGR6YFPNGQ2N2KP3O3ZUXMV4IQ
not attested
not anchored
not stored
refs pending
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
arxiv:2401.08488 v1 · 2024-01-16 · stat.ML · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VGR6YFPNGQ2N2KP3O3ZUXMV4IQ}
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 | 2026-07-05T07:34:12.579449Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a9a3ec15ed3434dd29fb76f34bb2bc4412ad35bb23c63859970c52f9c7cfd38a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VGR6YFPNGQ2N2KP3O3ZUXMV4IQ \
| 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: a9a3ec15ed3434dd29fb76f34bb2bc4412ad35bb23c63859970c52f9c7cfd38a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30f92f76f3bf92b2ca3ba311b55b0b77b6d751eb2661d91b50cad0678ed273fd",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-01-16T16:45:51Z",
"title_canon_sha256": "40ae0647b35545336a185e45619c06c18b43c6962c0cbf077b1b5192b47872d4"
},
"schema_version": "1.0",
"source": {
"id": "2401.08488",
"kind": "arxiv",
"version": 1
}
}