Pith Number
pith:2ZY7KG7P
pith:2024:2ZY7KG7PBXBKBPOWBNPRRR73JM
not attested
not anchored
not stored
refs pending
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition
arxiv:2406.08081 v1 · 2024-06-12 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ZY7KG7PBXBKBPOWBNPRRR73JM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-07-05T08:30:54.157451Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d671f51bef0dc2a0bdd60b5f18c7fb4b0fee71b32883036a258dfee207237d31
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZY7KG7PBXBKBPOWBNPRRR73JM \
| 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: d671f51bef0dc2a0bdd60b5f18c7fb4b0fee71b32883036a258dfee207237d31
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e901ce2f363b647292c2ec43005fba277c302aba12e6b8b6d71b88a707474e4a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-06-12T11:05:42Z",
"title_canon_sha256": "b23bf069557b4ac5a387e24ba26f26da0f1c0130dd096bca7b6511a85b0def6b"
},
"schema_version": "1.0",
"source": {
"id": "2406.08081",
"kind": "arxiv",
"version": 1
}
}