Pith. sign in
Pith Number

pith:BE4EK2XM

pith:2020:BE4EK2XMGRIVWVJAVN4TKJEOGE
not attested not anchored not stored refs pending

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records

Abdelaali Hassaine, Dexter Canoy, Gholamreza Salimi-Khorshidi, Kazem Rahimi, Rema Ramakrishnan, Shishir Rao, Thomas Lukasiewicz, Yajie Zhu, Yikuan Li

arxiv:2003.10170 v1 · 2020-03-23 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BE4EK2XMGRIVWVJAVN4TKJEOGE}

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 2026-07-05T00:49:50.305545Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0938456aec34515b5520ab7935248e31301338e4573a4e003cc84bfd27637788

Aliases

arxiv: 2003.10170 · arxiv_version: 2003.10170v1 · doi: 10.48550/arxiv.2003.10170 · pith_short_12: BE4EK2XMGRIV · pith_short_16: BE4EK2XMGRIVWVJA · pith_short_8: BE4EK2XM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BE4EK2XMGRIVWVJAVN4TKJEOGE \
  | 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: 0938456aec34515b5520ab7935248e31301338e4573a4e003cc84bfd27637788
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "01ea1a47bfc375db10e6d16a592c01274adeae497af182d3c04f01f0a79dd511",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-03-23T10:36:52Z",
    "title_canon_sha256": "d2ad6c0bebf2546c513fa256a3bf899eb1f6855f24df4eef0e40430b6eedc28c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2003.10170",
    "kind": "arxiv",
    "version": 1
  }
}