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Pith Number

pith:II5UJ7C5

pith:2015:II5UJ7C577LG7N2SJ6J6EY5TRP
not attested not anchored not stored refs pending

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Andy Schuetz, Edward Choi, Jimeng Sun, Mohammad Taha Bahadori, Walter F. Stewart

arxiv:1511.05942 v11 · 2015-11-18 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{II5UJ7C577LG7N2SJ6J6EY5TRP}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T01:03:44.273668Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

423b44fc5dffd66fb7524f93e263b38be8fb81af64fabbdd6a5e38893794d837

Aliases

arxiv: 1511.05942 · arxiv_version: 1511.05942v11 · doi: 10.48550/arxiv.1511.05942 · pith_short_12: II5UJ7C577LG · pith_short_16: II5UJ7C577LG7N2S · pith_short_8: II5UJ7C5
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/II5UJ7C577LG7N2SJ6J6EY5TRP \
  | 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: 423b44fc5dffd66fb7524f93e263b38be8fb81af64fabbdd6a5e38893794d837
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5c91afd85b1b57e081c986e3f3bbdc53a2f21cdff23c8ffd4442df9df4e034f1",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2015-11-18T20:47:44Z",
    "title_canon_sha256": "4e8a365c33ce7e205a4a1c97a087d7c6e554867b780a2f41a00aff0426f39805"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1511.05942",
    "kind": "arxiv",
    "version": 11
  }
}