Pith Number
pith:LFVJSDT7
pith:2019:LFVJSDT7UXZ3AUMODMVRJXRAUN
not attested
not anchored
not stored
refs pending
Deep learning-based electroencephalography analysis: a systematic review
arxiv:1901.05498 v2 · 2019-01-16 · cs.LG · eess.SP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LFVJSDT7UXZ3AUMODMVRJXRAUN}
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
✓
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 | 2026-05-17T23:55:50.535970Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
596a990e7fa5f3b0518e1b2b14de20a36e52a5c9b7d53564a862d2bcbb343638
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LFVJSDT7UXZ3AUMODMVRJXRAUN \
| 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: 596a990e7fa5f3b0518e1b2b14de20a36e52a5c9b7d53564a862d2bcbb343638
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aca25cf51bff278e3297b9a1f8a023d49745cb138c0f516e14afc6d22902279e",
"cross_cats_sorted": [
"eess.SP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-01-16T19:16:50Z",
"title_canon_sha256": "86c51af0118c429f34a2642b8d541b24fcf6066db35bc4d684ff7a02eceeb1a9"
},
"schema_version": "1.0",
"source": {
"id": "1901.05498",
"kind": "arxiv",
"version": 2
}
}