Pith Number
pith:ADNRFPAT
pith:2013:ADNRFPATVJ6E3R7EWUQY7APWMU
not attested
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refs pending
Convex vs nonconvex approaches for sparse estimation: GLasso, Multiple Kernel Learning and Hyperparameter GLasso
arxiv:1302.6434 v2 · 2013-02-26 · stat.ML · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ADNRFPATVJ6E3R7EWUQY7APWMU}
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
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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 | 2026-05-18T03:32:19.486950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
00db12bc13aa7c4dc7e4b5218f81f665023a56ce0dc30c7fdfd9b95998d33c6d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ADNRFPATVJ6E3R7EWUQY7APWMU \
| 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: 00db12bc13aa7c4dc7e4b5218f81f665023a56ce0dc30c7fdfd9b95998d33c6d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c8e9f71616ebd0c7604a15b8eec163e0d010ef3cdd7a7967381d890cbb466968",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2013-02-26T13:53:36Z",
"title_canon_sha256": "62aca96800b5f354bf5a784f34fc02545c106a42dfb12a14ad75c72a2c9bca52"
},
"schema_version": "1.0",
"source": {
"id": "1302.6434",
"kind": "arxiv",
"version": 2
}
}