Pith Number
pith:WAK7LHN3
pith:2021:WAK7LHN3A32OVR7ZYYPTCAGP5T
not attested
not anchored
not stored
refs pending
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition
arxiv:2110.09955 v2 · 2021-10-13 · eess.SP · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WAK7LHN3A32OVR7ZYYPTCAGP5T}
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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claim
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 | 2026-07-05T03:29:52.853065Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b015f59dbb06f4eac7f9c61f3100cfecc71b43a798e357dadbaaedb58dad93c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WAK7LHN3A32OVR7ZYYPTCAGP5T \
| 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: b015f59dbb06f4eac7f9c61f3100cfecc71b43a798e357dadbaaedb58dad93c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c963b594730fa9eebc7e107335f9d76f4d4e58fec0f64e91744d0ee5a905b483",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2021-10-13T12:03:36Z",
"title_canon_sha256": "8c84ff498bed42c0c20a7fa0cb6bc08918010398192156182fb389b8c7c4ecd1"
},
"schema_version": "1.0",
"source": {
"id": "2110.09955",
"kind": "arxiv",
"version": 2
}
}