Pith Number
pith:4V6KC6PA
pith:2019:4V6KC6PAYNRBUM46HKSP4AUXJV
not attested
not anchored
not stored
refs pending
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
arxiv:1903.11460 v3 · 2019-03-27 · math.OC · cs.LG · cs.NA · math.NA · stat.CO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4V6KC6PAYNRBUM46HKSP4AUXJV}
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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 | 2026-07-05T01:06:07.428757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e57ca179e0c3621a339e3aa4fe02974d61b883f864bf68ebfaf6ed60817bbb56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4V6KC6PAYNRBUM46HKSP4AUXJV \
| 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: e57ca179e0c3621a339e3aa4fe02974d61b883f864bf68ebfaf6ed60817bbb56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d13491276fa93632d3ee706f67c39c67e0e1f4cbde15b169fc1b55c8c65b646",
"cross_cats_sorted": [
"cs.LG",
"cs.NA",
"math.NA",
"stat.CO",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.OC",
"submitted_at": "2019-03-27T14:51:35Z",
"title_canon_sha256": "703436179ed2084c4a260511fac2c423e689ea2d7bdd76afbfeeec4f47c7347e"
},
"schema_version": "1.0",
"source": {
"id": "1903.11460",
"kind": "arxiv",
"version": 3
}
}