Pith Number
pith:5NE2ASQF
pith:2025:5NE2ASQFNL2GAIUYY6TPPDZZHM
not attested
not anchored
not stored
refs pending
Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA)
arxiv:2507.08637 v1 · 2025-07-11 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5NE2ASQFNL2GAIUYY6TPPDZZHM}
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 | 2026-07-05T11:35:43.736796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb49a04a056af4602298c7a6f78f393b2eda74dc878bdb5d16fd86ee8167a972
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5NE2ASQFNL2GAIUYY6TPPDZZHM \
| 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: eb49a04a056af4602298c7a6f78f393b2eda74dc878bdb5d16fd86ee8167a972
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a56cb2b1f0dce1cc46d803ec908613e5ddc2a3fa00e7e969d47fc9a5ad484c17",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-11T14:40:40Z",
"title_canon_sha256": "a939d16910e6305f3a5d23f1374bbd68edc007dc10033d9b1739e1436bed1063"
},
"schema_version": "1.0",
"source": {
"id": "2507.08637",
"kind": "arxiv",
"version": 1
}
}