Pith Number
pith:7L42F7JU
pith:2018:7L42F7JUEFPJCSJ4734WXYGDVK
not attested
not anchored
not stored
refs pending
Processing of Electronic Health Records using Deep Learning: A review
arxiv:1804.01758 v1 · 2018-04-05 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7L42F7JUEFPJCSJ4734WXYGDVK}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-05-18T00:19:10.088170Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
faf9a2fd34215e91493cfef96be0c3aa9bbea831f7108737d443fb917093be8b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7L42F7JUEFPJCSJ4734WXYGDVK \
| 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: faf9a2fd34215e91493cfef96be0c3aa9bbea831f7108737d443fb917093be8b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15c87d670ae8b4bc1a058958fa4d255587860aa03fee0aa263fb6eb24edaefcf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2018-04-05T10:10:22Z",
"title_canon_sha256": "63ff8e96e9bf96845fb5759c99bb9ae010fddfdaa7c86d40ea590e2832b0a156"
},
"schema_version": "1.0",
"source": {
"id": "1804.01758",
"kind": "arxiv",
"version": 1
}
}