Pith Number
pith:CQUVDDXM
pith:2019:CQUVDDXMJGA4J6WIDI2NMGVPAU
not attested
not anchored
not stored
refs pending
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
arxiv:1904.03603 v1 · 2019-04-07 · cs.NE · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CQUVDDXMJGA4J6WIDI2NMGVPAU}
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 | 2026-05-17T23:49:08.408518Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1429518eec4981c4fac81a34d61aaf050b6ed95df15c816d081c5fd30db67da6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CQUVDDXMJGA4J6WIDI2NMGVPAU \
| 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: 1429518eec4981c4fac81a34d61aaf050b6ed95df15c816d081c5fd30db67da6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5208cf7bcd5e9813076382d3aeb67eb44913992d2e1f1e1994e5d660cd5ab5c4",
"cross_cats_sorted": [
"q-bio.NC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2019-04-07T08:20:42Z",
"title_canon_sha256": "535ceed769c842d70629058b0cb98990c8c57a14a023b0f48606050149ca14a3"
},
"schema_version": "1.0",
"source": {
"id": "1904.03603",
"kind": "arxiv",
"version": 1
}
}