Pith Number
pith:AVTAJSLD
pith:2018:AVTAJSLDDI5IWV6FMZTTGMR6J2
not attested
not anchored
not stored
refs pending
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
arxiv:1809.08422 v1 · 2018-09-22 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AVTAJSLDDI5IWV6FMZTTGMR6J2}
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.
Receipt and verification
| First computed | 2026-05-18T00:05:08.541996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
056604c9631a3a8b57c5666733323e4e8b3ec6f13d41902b601895f03dfc4d6f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AVTAJSLDDI5IWV6FMZTTGMR6J2 \
| 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: 056604c9631a3a8b57c5666733323e4e8b3ec6f13d41902b601895f03dfc4d6f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "537105bddef78f91a6837f5f1fbdec234c78adec413056f9eca9b47f972bae2b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2018-09-22T10:07:46Z",
"title_canon_sha256": "37e52b87bd9f689e9ad8ce1ec1518bb496e9c387db8715990be9e0272e6adeb8"
},
"schema_version": "1.0",
"source": {
"id": "1809.08422",
"kind": "arxiv",
"version": 1
}
}