Pith. sign in
Pith Number

pith:53N76C5N

pith:2025:53N76C5NYGVHQG5MWB3DLIPZV4
not attested not anchored not stored refs pending

Bayesian Deep Learning for Discrete Choice

Daniel F. Villarraga, Ricardo A. Daziano

arxiv:2505.18077 v3 · 2025-05-23 · stat.ML · cs.LG · econ.EM · stat.AP

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{53N76C5NYGVHQG5MWB3DLIPZV4}

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 2026-07-10T00:18:40.805787Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

eedbff0badc1aa781bacb07635a1f9af23acb14701ec690a3b426efa3142a005

Aliases

arxiv: 2505.18077 · arxiv_version: 2505.18077v3 · doi: 10.48550/arxiv.2505.18077 · pith_short_12: 53N76C5NYGVH · pith_short_16: 53N76C5NYGVHQG5M · pith_short_8: 53N76C5N
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/53N76C5NYGVHQG5MWB3DLIPZV4 \
  | 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: eedbff0badc1aa781bacb07635a1f9af23acb14701ec690a3b426efa3142a005
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f3358486a8ba855192bdb8a69f8e200793c02adb1ce9762d295e56cb1a4c0d7c",
    "cross_cats_sorted": [
      "cs.LG",
      "econ.EM",
      "stat.AP"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2025-05-23T16:33:47Z",
    "title_canon_sha256": "0780c643bff3ec4dcbe09b4560297f27977688f74e3eb640757b3989c60ee6bd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.18077",
    "kind": "arxiv",
    "version": 3
  }
}