Pith Number
pith:UNUUUV7Z
pith:2023:UNUUUV7ZK3CLZJPLYZWYU5YFMK
not attested
not anchored
not stored
refs pending
Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition
arxiv:2305.18234 v1 · 2023-05-18 · eess.SP · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UNUUUV7ZK3CLZJPLYZWYU5YFMK}
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
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:14:53.861230Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3694a57f956c4bca5ebc66d8a7705628657809b1a0798bc3afcf16c248a1371
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UNUUUV7ZK3CLZJPLYZWYU5YFMK \
| 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: a3694a57f956c4bca5ebc66d8a7705628657809b1a0798bc3afcf16c248a1371
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dbdb93318c38ed2d64557e033c7ad02febef483e3b8c333df54d513a4fd653a4",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2023-05-18T11:04:50Z",
"title_canon_sha256": "4be88c504e7ab65970907f9ca0202282af1b44a5c87bc10ca64bd104771c1686"
},
"schema_version": "1.0",
"source": {
"id": "2305.18234",
"kind": "arxiv",
"version": 1
}
}