Pith Number
pith:UZFIS2QM
pith:2016:UZFIS2QMSBO3F553CRYLY43NJY
not attested
not anchored
not stored
refs pending
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
arxiv:1605.02711 v5 · 2016-05-09 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UZFIS2QMSBO3F553CRYLY43NJY}
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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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:27:22.288854Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a64a896a0c905db2f7bb1470bc736d4e22c508c5ef5e3d7fe561f455c8bf52ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UZFIS2QMSBO3F553CRYLY43NJY \
| 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: a64a896a0c905db2f7bb1470bc736d4e22c508c5ef5e3d7fe561f455c8bf52ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d7ac3c5f1c7193c24cf330f33b773e867e88895e1281d017036faf5b47124ee",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-05-09T19:44:17Z",
"title_canon_sha256": "7be1cf68827abf32f4dcc4e7d93b50597b542176576388874957b786e81ea5f0"
},
"schema_version": "1.0",
"source": {
"id": "1605.02711",
"kind": "arxiv",
"version": 5
}
}