Pith Number

pith:FNFL72LQ

pith:2024:FNFL72LQACOSTFXF3IMGYSU35H

not attested not anchored not stored refs pending

MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router

An Xu, Cong Xie, Ding Zhou, Xin Liu, Xue Lin, Yanyue Xie, Yanzhi Wang, Zhi Zhang, Ziang Song

arxiv:2410.12013 v1 · 2024-10-15 · cs.CL · cs.AI · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{FNFL72LQACOSTFXF3IMGYSU35H}

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

8 papers in Pith

Less is MoE: Trimming Experts in Domain-Specialist Language Models

Beyond Uniform Experts: Cost-Aware Expert Execution for Efficient Multi-Device MoE Inference

Pruning and Distilling Mixture-of-Experts into Dense Language Models

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE

HodgeCover: Higher-Order Topological Coverage Drives Compression of Sparse Mixture-of-Experts

Receipt and verification

First computed	2026-07-05T09:21:12.495191Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2b4abfe970009d2996e5da186c4a9be9c00ea182563770ea97574e77038dfe53

Aliases

arxiv: 2410.12013 · arxiv_version: 2410.12013v1 · doi: 10.48550/arxiv.2410.12013 · pith_short_12: FNFL72LQACOS · pith_short_16: FNFL72LQACOSTFXF · pith_short_8: FNFL72LQ

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNFL72LQACOSTFXF3IMGYSU35H \
  | 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: 2b4abfe970009d2996e5da186c4a9be9c00ea182563770ea97574e77038dfe53

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "820c0f9a12d76d6f079035131b3fe84f5275954d9b7cb4520c17f99e7128b552",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-10-15T19:22:27Z",
    "title_canon_sha256": "98c63912ea6f604dce08026be7502169c5d2e63e9611cad11ef6488ed14b1c9a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.12013",
    "kind": "arxiv",
    "version": 1
  }
}