pith. sign in
Pith Number

pith:MVBCWEG2

pith:2016:MVBCWEG2YSFVTSI7XTNEVNPDRQ
not attested not anchored not stored refs pending

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression

Alexandre Gramfort, Eugene Ndiaye, Joseph Salmon, Olivier Fercoq, Vincent Lecl\`ere

arxiv:1606.02702 v1 · 2016-06-08 · stat.ML · cs.LG · math.OC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVBCWEG2YSFVTSI7XTNEVNPDRQ}

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 open · sign in to claim
4 Citations open
5 Replications open
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 2026-05-18T00:30:09.114206Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

65422b10dac48b59c91fbcda4ab5e38c0885d92d06cb1ac31d83607b46aa4363

Aliases

arxiv: 1606.02702 · arxiv_version: 1606.02702v1 · doi: 10.48550/arxiv.1606.02702 · pith_short_12: MVBCWEG2YSFV · pith_short_16: MVBCWEG2YSFVTSI7 · pith_short_8: MVBCWEG2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVBCWEG2YSFVTSI7XTNEVNPDRQ \
  | 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: 65422b10dac48b59c91fbcda4ab5e38c0885d92d06cb1ac31d83607b46aa4363
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "a5ebdda183975741d76c6de60445e13f65b782eecc6212c8028337a75c0acd91",
    "cross_cats_sorted": [
      "cs.LG",
      "math.OC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-06-08T19:51:47Z",
    "title_canon_sha256": "770bc90db584b3712e554b5bbf31d960c663a7e8c9c179b515448a6fd5d27042"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1606.02702",
    "kind": "arxiv",
    "version": 1
  }
}