pith. sign in
Pith Number

pith:JYP7LFF6

pith:2016:JYP7LFF6F5L6MS5MY3LZHITI7N
not attested not anchored not stored refs pending

Inference of High-dimensional Autoregressive Generalized Linear Models

Eric C. Hall, Garvesh Raskutti, Rebecca Willett

arxiv:1605.02693 v2 · 2016-05-09 · stat.ML · cs.IT · math.IT · math.ST · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JYP7LFF6F5L6MS5MY3LZHITI7N}

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 2026-05-18T00:41:47.986288Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4e1ff594be2f57e64bacc6d793a268fb50efb11f9478556ca16f3ae41236e928

Aliases

arxiv: 1605.02693 · arxiv_version: 1605.02693v2 · doi: 10.48550/arxiv.1605.02693 · pith_short_12: JYP7LFF6F5L6 · pith_short_16: JYP7LFF6F5L6MS5M · pith_short_8: JYP7LFF6
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JYP7LFF6F5L6MS5MY3LZHITI7N \
  | 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: 4e1ff594be2f57e64bacc6d793a268fb50efb11f9478556ca16f3ae41236e928
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "85765b25fac8a92a542e5dc325a66fec83f6aaf7ac986ff676c8304e067cef45",
    "cross_cats_sorted": [
      "cs.IT",
      "math.IT",
      "math.ST",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-05-09T18:54:17Z",
    "title_canon_sha256": "635f927c7199a0d7faeaece8e19058e8aeeac89f314a05abcfcc2bc68e2acdcd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.02693",
    "kind": "arxiv",
    "version": 2
  }
}