Pith Number

pith:YAZCFPFM

pith:2024:YAZCFPFMQDBEIH3UG4YH5A4CJB

not attested not anchored not stored refs pending

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

Enshu Liu, Guohao Dai, Huazhong Yang, Junyi Zhu, Matthew B. Blaschko, Shengen Yan, Xuefei Ning, Yu Wang, Zinan Lin

arxiv:2407.00945 v1 · 2024-07-01 · 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{YAZCFPFMQDBEIH3UG4YH5A4CJB}

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

9 papers in Pith

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

Post-Trained MoE Can Skip Half Experts via Self-Distillation

dMoE: dLLMs with Learnable Block Experts

Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression

Post-Trained MoE Can Skip Half Experts via Self-Distillation

Receipt and verification

First computed	2026-07-05T08:38:26.612918Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c03222bcac80c2441f7437307e8382485dddd493e106698c64e2807723d107e7

Aliases

arxiv: 2407.00945 · arxiv_version: 2407.00945v1 · doi: 10.48550/arxiv.2407.00945 · pith_short_12: YAZCFPFMQDBE · pith_short_16: YAZCFPFMQDBEIH3U · pith_short_8: YAZCFPFM

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/YAZCFPFMQDBEIH3UG4YH5A4CJB \
  | 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: c03222bcac80c2441f7437307e8382485dddd493e106698c64e2807723d107e7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5e6cc79f841159e1e9c1a50b675105cf88426efd92ef07244051f49d8ca2bd66",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-07-01T03:57:35Z",
    "title_canon_sha256": "126003e00ad1463443b6f4ccbb780165a469441e60709992a75bad0646adc5d7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2407.00945",
    "kind": "arxiv",
    "version": 1
  }
}