Pith Number
pith:EJQLWDZZ
pith:2023:EJQLWDZZKCKDKTWRLVZV2X3WOH
not attested
not anchored
not stored
refs pending
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties
arxiv:2309.03094 v1 · 2023-09-04 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EJQLWDZZKCKDKTWRLVZV2X3WOH}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:48:20.752567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2260bb0f395094354ed15d735d5f7671c4287109eeab06346558ee48cc16f239
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJQLWDZZKCKDKTWRLVZV2X3WOH \
| 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: 2260bb0f395094354ed15d735d5f7671c4287109eeab06346558ee48cc16f239
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3873dee3436edf4b5ab5c1e1e050b65f507a4edcaade0fc6b6569782929184e1",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-09-04T21:48:51Z",
"title_canon_sha256": "760bed036c1a0c5ac6411c12f149e384359e736cbf523ae34377b66ff23afd29"
},
"schema_version": "1.0",
"source": {
"id": "2309.03094",
"kind": "arxiv",
"version": 1
}
}