Pith Number
pith:Z4FTQ6SY
pith:2022:Z4FTQ6SY7AUHSS4R2QV3LHPPAK
not attested
not anchored
not stored
refs pending
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition
arxiv:2211.08880 v1 · 2022-11-16 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Z4FTQ6SY7AUHSS4R2QV3LHPPAK}
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 | 2026-07-05T05:16:44.946176Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cf0b387a58f828794b91d42bb59def02a59415d3637d4e10fae6709f3708c3d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Z4FTQ6SY7AUHSS4R2QV3LHPPAK \
| 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: cf0b387a58f828794b91d42bb59def02a59415d3637d4e10fae6709f3708c3d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e804b79914f92c2781ccfa7121be41bdc3db8f221650b28c004fb93687f46d98",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2022-11-16T12:38:00Z",
"title_canon_sha256": "ab91e69a1e0cd3a965851df6908573061f52fd2629b20353b122fb900ae7bf0c"
},
"schema_version": "1.0",
"source": {
"id": "2211.08880",
"kind": "arxiv",
"version": 1
}
}