Pith Number
pith:K626ISIY
pith:2021:K626ISIYD6VNG2PIKRSKUQI7EW
not attested
not anchored
not stored
refs pending
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals
arxiv:2102.08061 v1 · 2021-02-16 · eess.SP · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K626ISIYD6VNG2PIKRSKUQI7EW}
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 | 2026-07-05T02:15:46.051051Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57b5e449181faad369e85464aa411f2590026ac63ec49ef56088a15ff11590ae
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K626ISIYD6VNG2PIKRSKUQI7EW \
| 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: 57b5e449181faad369e85464aa411f2590026ac63ec49ef56088a15ff11590ae
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50844a994eb00da52f2c4eefc1df9d44c053f0f58201fd12c2970c9199448d57",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-02-16T10:18:08Z",
"title_canon_sha256": "8cfb66c04deceb53b889004fc9eaf8a33523b83d08e7625c08c7d8fc28cc1645"
},
"schema_version": "1.0",
"source": {
"id": "2102.08061",
"kind": "arxiv",
"version": 1
}
}