Pith Number

pith:I7ONXRRT

pith:2019:I7ONXRRT5IO74XVQQRMQEZ3FMG

not attested not anchored not stored refs pending

$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records

Bhagya Hettige, Suong Le, Weiqing Wang, Wray Buntine, Yuan-Fang Li

arxiv:1912.03703 v3 · 2019-12-08 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{I7ONXRRT5IO74XVQQRMQEZ3FMG}

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Record completeness

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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

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model

Receipt and verification

First computed	2026-07-05T01:21:35.705396Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

47dcdbc633ea1dfe5eb084590267656187350fa0138c1c669a44fe4a525730a8

Aliases

arxiv: 1912.03703 · arxiv_version: 1912.03703v3 · doi: 10.48550/arxiv.1912.03703 · pith_short_12: I7ONXRRT5IO7 · pith_short_16: I7ONXRRT5IO74XVQ · pith_short_8: I7ONXRRT

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/I7ONXRRT5IO74XVQQRMQEZ3FMG \
  | 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: 47dcdbc633ea1dfe5eb084590267656187350fa0138c1c669a44fe4a525730a8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9c434177a7aecd18613fdc0c8c7fdd498d38c615ddfda4ebbc0d87e3d972a8c7",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-12-08T15:43:52Z",
    "title_canon_sha256": "50a507969658619e9e6ff6c97f5d39f13e7dca1494c1ea423a1f378a36261399"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1912.03703",
    "kind": "arxiv",
    "version": 3
  }
}