Pith Number
pith:L6VVC3S4
pith:2025:L6VVC3S42WYRTU2NXCKSHDU53O
not attested
not anchored
not stored
refs pending
TFOC-Net: A Short-time Fourier Transform-based Deep Learning Approach for Enhancing Cross-Subject Motor Imagery Classification
arxiv:2507.02510 v1 · 2025-07-03 · cs.LG · cs.HC · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L6VVC3S42WYRTU2NXCKSHDU53O}
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
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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 | 2026-07-05T11:31:29.971166Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fab516e5cd5b119d34db895238e9ddba9f70b7beae7ab0f678d915f2ab5c7ad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L6VVC3S42WYRTU2NXCKSHDU53O \
| 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: 5fab516e5cd5b119d34db895238e9ddba9f70b7beae7ab0f678d915f2ab5c7ad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "79eb5ec8089f5c66a32af42255d165369bb030494b57672abf3d9c97e26e633f",
"cross_cats_sorted": [
"cs.HC",
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-03T10:17:39Z",
"title_canon_sha256": "9622ae7f47f7c906a5ecb8fc7ac7a2a21d3d9db220e2b9debda0f859ab18a4d1"
},
"schema_version": "1.0",
"source": {
"id": "2507.02510",
"kind": "arxiv",
"version": 1
}
}