Pith Number
pith:DEYE2DPZ
pith:2022:DEYE2DPZDZO7IFDOB2MQ3NJB45
not attested
not anchored
not stored
refs pending
Data augmentation for learning predictive models on EEG: a systematic comparison
arxiv:2206.14483 v2 · 2022-06-29 · cs.LG · cs.AI · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DEYE2DPZDZO7IFDOB2MQ3NJB45}
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 | 2026-07-05T05:16:01.043797Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19304d0df91e5df4146e0e990db521e747284b61f79d6c9f7a40f0a991a136c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DEYE2DPZDZO7IFDOB2MQ3NJB45 \
| 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: 19304d0df91e5df4146e0e990db521e747284b61f79d6c9f7a40f0a991a136c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fa9e86e750f2227f3be333ed470c140ca3d3915a5fcadd2a708602dca40e97f7",
"cross_cats_sorted": [
"cs.AI",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-29T09:18:15Z",
"title_canon_sha256": "39479b57b2f923b82cd1fc8e4ee12e3543ea1cad7ac5431c81d2922d4f4be4c3"
},
"schema_version": "1.0",
"source": {
"id": "2206.14483",
"kind": "arxiv",
"version": 2
}
}