Pith. sign in
Pith Number

pith:UVCXDP5E

pith:2024:UVCXDP5ESZJMOGJSS3BM76GYD3
not attested not anchored not stored refs pending

MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map

Bo Xu, Guoqi Li, Jibin Wu, Kexin Wang, Man Yao, Ruijie Zhu, Yiran Zhong, Yuhong Chou, Yu Qiao, Yuqi Pan

arxiv:2411.10741 v1 · 2024-11-16 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UVCXDP5ESZJMOGJSS3BM76GYD3}

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 open · sign in to claim
4 Citations open
5 Replications open
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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T09:36:21.399790Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a54571bfa49652c7193296c2cff8d81edbca0cd8e1bfb67db1b983d4f67981d1

Aliases

arxiv: 2411.10741 · arxiv_version: 2411.10741v1 · doi: 10.48550/arxiv.2411.10741 · pith_short_12: UVCXDP5ESZJM · pith_short_16: UVCXDP5ESZJMOGJS · pith_short_8: UVCXDP5E
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UVCXDP5ESZJMOGJSS3BM76GYD3 \
  | 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: a54571bfa49652c7193296c2cff8d81edbca0cd8e1bfb67db1b983d4f67981d1
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "797e271303f2a42cfaac021e5d0a4adab17ab96c37416e650e370b81b48ab268",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-11-16T08:47:32Z",
    "title_canon_sha256": "99fd9cf0f2a03963c8ee1c479cb82749727499ce362372134977600cbd593013"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2411.10741",
    "kind": "arxiv",
    "version": 1
  }
}