Pith Number
pith:W4GFNK4I
pith:2018:W4GFNK4I64GBWKHTJ6PL4X6V6N
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Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
arxiv:1805.09133 v1 · 2018-05-07 · q-bio.NC · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W4GFNK4I64GBWKHTJ6PL4X6V6N}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:15:08.468341Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b70c56ab88f70c1b28f34f9ebe5fd5f356d9cd8196ed5c019ce81e28111df29d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W4GFNK4I64GBWKHTJ6PL4X6V6N \
| 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: b70c56ab88f70c1b28f34f9ebe5fd5f356d9cd8196ed5c019ce81e28111df29d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f08e9a09fdade66a51cf5452b9f14a56004fa4b784ae546f764446362dc7d3bf",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2018-05-07T20:34:17Z",
"title_canon_sha256": "68557bc46cd12b765a9852da03bad29b2116c2fac00eb628620cef1d1dcc6afe"
},
"schema_version": "1.0",
"source": {
"id": "1805.09133",
"kind": "arxiv",
"version": 1
}
}