pith. sign in
Pith Number

pith:TYWZM3UZ

pith:2019:TYWZM3UZJXQHNBZ3PNIHIP3XMQ
not attested not anchored not stored refs pending

Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

Akshay Pai, Lauge S{\o}rensen, Mads Nielsen, Marc Modat, M. Jorge Cardoso, Mostafa Mehdipour Ghazi, Sebastien Ourselin

arxiv:1903.07173 v1 · 2019-03-17 · cs.CV · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TYWZM3UZJXQHNBZ3PNIHIP3XMQ}

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 2026-05-17T23:51:04.018409Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9e2d966e994de076873b7b50743f77642104bd59f2e93faf13a2f129b00d7506

Aliases

arxiv: 1903.07173 · arxiv_version: 1903.07173v1 · doi: 10.48550/arxiv.1903.07173 · pith_short_12: TYWZM3UZJXQH · pith_short_16: TYWZM3UZJXQHNBZ3 · pith_short_8: TYWZM3UZ
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TYWZM3UZJXQHNBZ3PNIHIP3XMQ \
  | 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: 9e2d966e994de076873b7b50743f77642104bd59f2e93faf13a2f129b00d7506
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9052966899ffa5bb708096c7c71ff3734304b8b98c113144bee906ea6c4b26bf",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-03-17T21:14:33Z",
    "title_canon_sha256": "353c1059c0fc297353b5124bf63c881f848447d14126cfee3af29d80a3759dd3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1903.07173",
    "kind": "arxiv",
    "version": 1
  }
}