Pith Number
pith:O3GZJ236
pith:2025:O3GZJ236CJL4B5JPPXZCSG2UKF
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refs pending
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers
arxiv:2512.16615 v2 · 2025-12-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O3GZJ236CJL4B5JPPXZCSG2UKF}
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
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4
Citations
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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 | 2026-07-24T01:24:05.805939Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
76cd94eb7e1257c0f52f7df2291b54514d4efb5ebaa32fbdf6742ea6a99db470
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O3GZJ236CJL4B5JPPXZCSG2UKF \
| 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: 76cd94eb7e1257c0f52f7df2291b54514d4efb5ebaa32fbdf6742ea6a99db470
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70bbe8e55113e71d6f0fb990d88f06512574f66fc6ff76fc4ab930da7ab105b1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-12-18T14:53:12Z",
"title_canon_sha256": "84674cdd158f774eeda7e95be64af1a42b90ab391ddcc30b13dcd05809eea708"
},
"schema_version": "1.0",
"source": {
"id": "2512.16615",
"kind": "arxiv",
"version": 2
}
}