Pith Number
pith:UYS7WVVC
pith:2017:UYS7WVVCX3GW2MBI6YV4SBDXRZ
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A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
arxiv:1707.03321 v2 · 2017-07-05 · stat.ML · cs.CV · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UYS7WVVCX3GW2MBI6YV4SBDXRZ}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:29:38.878437Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a625fb56a2becd6d3028f62bc904778e5d1378313d7eb7c6203271d5ad82cc3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UYS7WVVCX3GW2MBI6YV4SBDXRZ \
| 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: a625fb56a2becd6d3028f62bc904778e5d1378313d7eb7c6203271d5ad82cc3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af3eca85e0b03a0b271ceac9a38522b5366f32c986e15bf0b32e9b4a83e6f288",
"cross_cats_sorted": [
"cs.CV",
"q-bio.NC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-07-05T08:29:36Z",
"title_canon_sha256": "7920770cb93fcbcd225d3b34ae8824505084d3392bae01d16576d0e84344f5ba"
},
"schema_version": "1.0",
"source": {
"id": "1707.03321",
"kind": "arxiv",
"version": 2
}
}