Pith Number
pith:F2G5NSHZ
pith:2024:F2G5NSHZC6P6OCAESTLGX7TWC6
not attested
not anchored
not stored
refs pending
How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse
arxiv:2404.02690 v2 · 2024-04-03 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F2G5NSHZC6P6OCAESTLGX7TWC6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:12:59.542587Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e8dd6c8f9179fe7080494d66bfe7617aff473b45b940db23dbcea109aefecec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F2G5NSHZC6P6OCAESTLGX7TWC6 \
| 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: 2e8dd6c8f9179fe7080494d66bfe7617aff473b45b940db23dbcea109aefecec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9582659d14660f84a30fcce8a727e9c257ce351a5b766230f96fdde207d31c08",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-04-03T12:37:34Z",
"title_canon_sha256": "48f59f43a7971452df8c2946c107f44972445349e12cc716c57c67f0c2c40ffd"
},
"schema_version": "1.0",
"source": {
"id": "2404.02690",
"kind": "arxiv",
"version": 2
}
}