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Pith Number

pith:EPU7NHID

pith:2018:EPU7NHIDXDW6NMHDWR4LFVV4DZ
not attested not anchored not stored refs pending

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning

Auroop R. Ganguly, Evan Kodra, Jennifer Dy, Ramakrishna Nemani, Sangram Ganguly, Thomas Vandal

arxiv:1802.04742 v2 · 2018-02-13 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPU7NHIDXDW6NMHDWR4LFVV4DZ}

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 2026-05-18T00:15:04.947607Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

23e9f69d03b8ede6b0e3b478b2d6bc1e7692737095358136672b558a7b52719c

Aliases

arxiv: 1802.04742 · arxiv_version: 1802.04742v2 · doi: 10.48550/arxiv.1802.04742 · pith_short_12: EPU7NHIDXDW6 · pith_short_16: EPU7NHIDXDW6NMHD · pith_short_8: EPU7NHID
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPU7NHIDXDW6NMHDWR4LFVV4DZ \
  | 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: 23e9f69d03b8ede6b0e3b478b2d6bc1e7692737095358136672b558a7b52719c
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6218be6ca76b9ff96635196310aa2bf42c0f6328c481345a3034c102e1a49512",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-02-13T17:07:13Z",
    "title_canon_sha256": "b2c1a49a998cf16aa7fa6ca0ec66ac74ff51372249ae0300b10f314c247e9476"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1802.04742",
    "kind": "arxiv",
    "version": 2
  }
}