Pith Number
pith:BK57NKGZ
pith:2026:BK57NKGZQ3Y3W4F4V2QFTJPWX5
not attested
not anchored
not stored
refs pending
Predict, Reuse, and Repair: Accelerating Dynamic Sparse Attention for Long-Context LLM Decoding
arxiv:2606.30389 v1 · 2026-06-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BK57NKGZQ3Y3W4F4V2QFTJPWX5}
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 | 2026-06-30T02:18:13.062279Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0abbf6a8d986f1bb70bcaea059a5f6bf5eed2eec93ff71d2e790316205d2560e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BK57NKGZQ3Y3W4F4V2QFTJPWX5 \
| 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: 0abbf6a8d986f1bb70bcaea059a5f6bf5eed2eec93ff71d2e790316205d2560e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4f65057ff97ccbf6f6cdbd7af9221e21165e73b66c02fe5fb5f4b402c1552d91",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-29T14:43:25Z",
"title_canon_sha256": "310ab58e7bd31b1f88962ce132d552333d44e83ea283fd337447205a49e6d733"
},
"schema_version": "1.0",
"source": {
"id": "2606.30389",
"kind": "arxiv",
"version": 1
}
}