Pith Number
pith:LNWXA3FA
pith:2026:LNWXA3FAIC6Q4HZGZX46EJSXCQ
not attested
not anchored
not stored
refs pending
LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification
arxiv:2603.10881 v2 · 2026-03-11 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LNWXA3FAIC6Q4HZGZX46EJSXCQ}
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 | 2026-05-20T00:00:36.359417Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b6d706ca040bd0e1f26cdf9e226571427cdeb6906a7230511f3e597421e4512
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LNWXA3FAIC6Q4HZGZX46EJSXCQ \
| 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: 5b6d706ca040bd0e1f26cdf9e226571427cdeb6906a7230511f3e597421e4512
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "684f61e6f9f341e8142f2df6dcacaa15622120c182c07e634ca5315bbebaa0b2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-03-11T15:27:39Z",
"title_canon_sha256": "b9d830d36c5a6bd926dbb27a28ef1813809dd45fa43e5000acdd27320dc222f9"
},
"schema_version": "1.0",
"source": {
"id": "2603.10881",
"kind": "arxiv",
"version": 2
}
}