Pith Number
pith:SY6GQXC2
pith:2026:SY6GQXC2LJRDA7XBVDRZFJBBPN
not attested
not anchored
not stored
refs pending
Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
arxiv:2605.16579 v1 · 2026-05-15 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SY6GQXC2LJRDA7XBVDRZFJBBPN}
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 | 2026-05-20T00:02:30.750265Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN \
| 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: 963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4ded70fb4342ca1f9ef3f622b5f7f9e53d26abe20b76da60887b5686ed50d11",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-15T19:33:45Z",
"title_canon_sha256": "153fd39f8fee8dcad499f291ec5d1564d88e5e4d5f9255cd22fa53090f0c5477"
},
"schema_version": "1.0",
"source": {
"id": "2605.16579",
"kind": "arxiv",
"version": 1
}
}