Pith Number
pith:4S4CSF4Y
pith:2025:4S4CSF4YIWY3BMYEN2QH7K5DCC
not attested
not anchored
not stored
refs pending
Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism
arxiv:2501.10342 v1 · 2025-01-17 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4S4CSF4YIWY3BMYEN2QH7K5DCC}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-02T02:04:04.941020Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4b829179845b1b0b3046ea07faba310a3e208e1c2c125ce17570ff7152d03d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4S4CSF4YIWY3BMYEN2QH7K5DCC \
| 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: e4b829179845b1b0b3046ea07faba310a3e208e1c2c125ce17570ff7152d03d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8be2767bd5f1d24bd0af903c941d30f1c4045261162995b1afa6283cfa47480e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-17T18:33:58Z",
"title_canon_sha256": "90857f8ac50b6e8557cccb53c3f93339216e5fa2d39e7de3f2fffeb4aadc23ec"
},
"schema_version": "1.0",
"source": {
"id": "2501.10342",
"kind": "arxiv",
"version": 1
}
}