Pith Number
pith:4ONQFN7T
pith:2025:4ONQFN7T3P5BF5JDB73DF5I4P4
not attested
not anchored
not stored
refs pending
Spatio-Temporal Progressive Attention Model for EEG Classification in Rapid Serial Visual Presentation Task
arxiv:2502.00730 v1 · 2025-02-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ONQFN7T3P5BF5JDB73DF5I4P4}
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 | 2026-07-05T10:08:37.859497Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e39b02b7f3dbfa12f5230ff632f51c7f0731b0b7476555d3aa2813a9dbd51d1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ONQFN7T3P5BF5JDB73DF5I4P4 \
| 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: e39b02b7f3dbfa12f5230ff632f51c7f0731b0b7476555d3aa2813a9dbd51d1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbd7b89b94a839354bc665ac6896d95b90ec6337b5783ee8b8c0f19f62107d69",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-02T09:28:38Z",
"title_canon_sha256": "0bf612a3d7ae89730b5deeafd3ac0db68f03f9fc3650e73fb079d88af3685be8"
},
"schema_version": "1.0",
"source": {
"id": "2502.00730",
"kind": "arxiv",
"version": 1
}
}