Pith. sign in
Pith Number

pith:IQRWZWW4

pith:2023:IQRWZWW4Q2Y2IX6UKWG6VDZB34
not attested not anchored not stored refs pending

GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer

Bo Yuan, Burak Uzkent, Hongxia Jin, Miao Yin, Yilin Shen

arxiv:2301.05345 v2 · 2023-01-13 · cs.AI · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQRWZWW4Q2Y2IX6UKWG6VDZB34}

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 2026-07-05T05:39:30.396148Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

44236cdadc86b1a45fd4558dea8f21df0eaebc22f572e8b3d7d10fd647236518

Aliases

arxiv: 2301.05345 · arxiv_version: 2301.05345v2 · doi: 10.48550/arxiv.2301.05345 · pith_short_12: IQRWZWW4Q2Y2 · pith_short_16: IQRWZWW4Q2Y2IX6U · pith_short_8: IQRWZWW4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQRWZWW4Q2Y2IX6UKWG6VDZB34 \
  | 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: 44236cdadc86b1a45fd4558dea8f21df0eaebc22f572e8b3d7d10fd647236518
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "760391db4300c968734d8ebdf86f1a8dc7a4036002ec31a62103453372e63185",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-01-13T00:40:24Z",
    "title_canon_sha256": "e0e78947d842a2d47847a063a073c42c63d425377f32887d02d808479fa98a04"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2301.05345",
    "kind": "arxiv",
    "version": 2
  }
}