Pith. sign in
Pith Number

pith:YW2XPZ7U

pith:2024:YW2XPZ7UPNCORLBPXYTLSWAJC4
not attested not anchored not stored refs pending

Numerical Pruning for Efficient Autoregressive Models

Bo Chen, Hao Tan, Jing Liu, Jiuxiang Gu, Pu Zhao, Ruiyi Zhang, Ryan A. Rossi, Tong Sun, Tong Yu, Xiang Chen, Xuan Shen, Yanzhi Wang, Yufan Zhou, Yufa Zhou, Zhao Song

arxiv:2412.12441 v1 · 2024-12-17 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YW2XPZ7UPNCORLBPXYTLSWAJC4}

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 2026-07-05T09:50:14.960811Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c5b577e7f47b44e8ac2fbe26b958091719e007439f722e03df4f3aa588edbe43

Aliases

arxiv: 2412.12441 · arxiv_version: 2412.12441v1 · doi: 10.48550/arxiv.2412.12441 · pith_short_12: YW2XPZ7UPNCO · pith_short_16: YW2XPZ7UPNCORLBP · pith_short_8: YW2XPZ7U
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YW2XPZ7UPNCORLBPXYTLSWAJC4 \
  | 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: c5b577e7f47b44e8ac2fbe26b958091719e007439f722e03df4f3aa588edbe43
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b4cf199b39059085f00f13f59bbacb7c8db4d131bdcb2784f68dd39e759a9d2b",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-12-17T01:09:23Z",
    "title_canon_sha256": "3eac0238e2985f8b1454d2f0d1735ad6c98567e4c2ee78119d776adabe247026"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2412.12441",
    "kind": "arxiv",
    "version": 1
  }
}