Pith Number

pith:L6H64TZ4

pith:2025:L6H64TZ4NHTS5VK4WN2JW2BYKY

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Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution

Alan Ansell, Boqian Wu, Decebal Constantin Mocanu, Lu Yin, Mykola Pechenizkiy, Qiao Xiao, Shiwei Liu

Dynamically evolving the sparse connections of pruned LLMs during fine-tuning recovers performance lost to pruning while keeping models efficient.

arxiv:2505.24037 v3 · 2025-05-29 · cs.AI

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\usepackage{pith}
\pithnumber{L6H64TZ4NHTS5VK4WN2JW2BYKY}

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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.

Claims

C1strongest claim

Our experiments on various LLMs, including LLaMA families, DeepSeek, and Mistral, across a diverse set of benchmarks demonstrate that SEFT achieves stronger performance while offering superior memory and time efficiency compared to existing baselines.

C2weakest assumption

The sensitivity-driven pruning criterion can maintain the target sparsity level throughout fine-tuning while the drop-and-grow strategy successfully adapts the sparse topology to the target dataset without introducing instability or performance collapse.

C3one line summary

SEFT dynamically adjusts sparse connections in pruned LLMs via weight drop-and-grow and sensitivity-driven pruning to adapt to tasks while preserving sparsity level.

Receipt and verification

First computed	2026-06-03T01:05:44.151149Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5f8fee4f3c69e72ed55cb3749b683856397e380e90101554995c173536711ada

Aliases

arxiv: 2505.24037 · arxiv_version: 2505.24037v3 · doi: 10.48550/arxiv.2505.24037 · pith_short_12: L6H64TZ4NHTS · pith_short_16: L6H64TZ4NHTS5VK4 · pith_short_8: L6H64TZ4

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/L6H64TZ4NHTS5VK4WN2JW2BYKY \
  | 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: 5f8fee4f3c69e72ed55cb3749b683856397e380e90101554995c173536711ada

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f8602e5855c256345cdb1818a2157d0dd502ecfab7f30660674ec855430737b3",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-05-29T22:17:43Z",
    "title_canon_sha256": "e074ef0c95817291d61384c6b7b4afec2771abb9eacd50a73a1e73cf740346a3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.24037",
    "kind": "arxiv",
    "version": 3
  }
}