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pith:63QS6NZH

pith:2026:63QS6NZHBNB2J6ZF5GA4QFYUVE
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Topology-Aware Layer Pruning for Large Vision-Language Models

Caiyan Qin, Chaoning Zhang, Jewon Lee, Jiaquan Zhang, Jiarong Mo, Kuien Liu, Pengcheng Zheng, Qigan Sun, Tae-Ho Kim, Tianyu Li, Wang Liu, Yang Yang, Ya Wen

Persistent homology on layer point clouds guides pruning to retain critical transitions in vision-language models.

arxiv:2604.16502 v2 · 2026-04-14 · cs.CV

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Claims

C1strongest claim

Extensive experiments on diverse multimodal benchmarks demonstrate that the proposed framework consistently outperforms existing pruning methods across a wide range of sparsity ratios.

C2weakest assumption

That representing layer-wise hidden states as point clouds and quantifying their evolution with simplicial complexes and zigzag persistent homology accurately captures global and dynamic representational transitions better than local similarity metrics or static proxies.

C3one line summary

A topology-aware pruning framework models layer representation evolution in LVLMs via simplicial complexes and zigzag persistent homology to enable adaptive removal of layers while outperforming existing methods on multimodal benchmarks.

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First computed 2026-06-05T01:14:38.872545Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f6e12f37270b43a4fb25e981c81714a92dff83e212367a7576c332752d6cb2ed

Aliases

arxiv: 2604.16502 · arxiv_version: 2604.16502v2 · doi: 10.48550/arxiv.2604.16502 · pith_short_12: 63QS6NZHBNB2 · pith_short_16: 63QS6NZHBNB2J6ZF · pith_short_8: 63QS6NZH
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/63QS6NZHBNB2J6ZF5GA4QFYUVE \
  | 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: f6e12f37270b43a4fb25e981c81714a92dff83e212367a7576c332752d6cb2ed
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-14T14:36:53Z",
    "title_canon_sha256": "f11f8d27992ce8b86e9a3e4ccc015133a30ff5f475b9e36ec9c7f741a984560f"
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