Pith Number
pith:VCQEP7WD
pith:2025:VCQEP7WDPTJ2L6MJ74B3MQ3IEC
not attested
not anchored
not stored
refs pending
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
arxiv:2503.05349 v1 · 2025-03-07 · cs.LG · cs.AI · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VCQEP7WDPTJ2L6MJ74B3MQ3IEC}
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 | 2026-07-05T10:26:26.962365Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a8a047fec37cd3a5f989ff03b6436820920c893b30f8eee57c0113178e0c91c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VCQEP7WDPTJ2L6MJ74B3MQ3IEC \
| 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: a8a047fec37cd3a5f989ff03b6436820920c893b30f8eee57c0113178e0c91c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "928c49e90d7c32d82f2e5074c43ba8a4d60a03afc5019bd0f0d46b7c3e38ea53",
"cross_cats_sorted": [
"cs.AI",
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-07T11:44:49Z",
"title_canon_sha256": "5c94f7555fdaa8693b7cf9305c7d702871c230078539fbe847431141663af557"
},
"schema_version": "1.0",
"source": {
"id": "2503.05349",
"kind": "arxiv",
"version": 1
}
}