Pith Number
pith:IOYUW5NS
pith:2025:IOYUW5NSDXQP3PED2G5PKG67BH
not attested
not anchored
not stored
refs pending
CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm
arxiv:2506.11830 v1 · 2025-06-13 · cs.CE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IOYUW5NSDXQP3PED2G5PKG67BH}
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 | 2026-07-05T11:21:11.421325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43b14b75b21de0fdbc83d1baf51bdf09ce909ff1d861549f2b9a5dbc83c500a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IOYUW5NSDXQP3PED2G5PKG67BH \
| 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: 43b14b75b21de0fdbc83d1baf51bdf09ce909ff1d861549f2b9a5dbc83c500a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e2c1295f8025cbf37daf359afce05999c8e672ecd9b9d0dd0121c17b1da0c767",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CE",
"submitted_at": "2025-06-13T14:34:29Z",
"title_canon_sha256": "fdce0650d0900adc17e58feeb8239bc545f10bac6bc7faa1d1788b0180d2606a"
},
"schema_version": "1.0",
"source": {
"id": "2506.11830",
"kind": "arxiv",
"version": 1
}
}