Paper Citation Record · LEDGER

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 5 inbound Pith citation observations for arXiv:2506.18349.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.18349 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:58:34.919046Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:39:25.535897Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T12:43:25.580785Z

Reference resolution

73 of 73 outbound references displayed

verified exact0
verified fuzzy27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b89852ba-3be1-4862-acda-44498a0f4839 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , " * write output.state after.block = add.period write newline

Reference 1

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Observation 3e57a6da-6b3c-4062-8efd-9775ea601f03 · outbound

This paper cites write newline.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation write newline

Reference 2

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Observation b1e0871b-2373-40e8-8535-c6c072a92065 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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Observation e1b0e3ae-a015-471c-b21e-60c9c2b120e5 · outbound

This paper cites , Lee - Thorp, J.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Lee - Thorp, J

Reference 4

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Observation 0b501abb-64aa-4515-b65f-e91d6b7452ec · outbound

This paper cites , Croci, M.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Croci, M

Reference 5

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Observation fe864c66-f547-4fde-badc-480229d06467 · outbound

This paper cites Program Synthesis with Large Language Models.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Program Synthesis with Large Language Models

Reference 6

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Observation 6a10b25f-df82-4650-91f6-8b18be6c0b93 · outbound

This paper cites , Zellers, R.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Zellers, R

Reference 7

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Observation 1532c006-d7d2-4e91-b57e-f5388b4b5982 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Evaluating Large Language Models Trained on Code

Reference 8

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Observation 4c7d8fe5-b50f-4457-9dc4-f448cdd06d31 · outbound

This paper cites Task-Specific Expert Pruning for Sparse Mixture-of-Experts.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Task-Specific Expert Pruning for Sparse Mixture-of-Experts

Reference 9

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Observation 1a2c3413-93be-41e8-8d41-7898641790f2 · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Unresolved cited work

Reference 10

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Observation 95b9765b-2cbc-470f-9d58-511eb55402c1 · outbound

This paper cites A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 11

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Observation 4172528e-8f38-4ab4-834d-c63f49bcf0ba · outbound

This paper cites , Lee, K.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Lee, K

Reference 12

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Observation c1803211-a8c6-4b96-8c6d-6f0e9fcb8c8c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

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Observation d9760a28-dd03-49c1-941f-8a91792ad6d1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Training Verifiers to Solve Math Word Problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:33.773381Z

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Observation fbe3a1c3-e250-457c-b298-fd63374a80be · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 15

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Source-reported events for the cited work

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Observation 28a9b43b-39eb-4c62-89ac-22628464c5ba · outbound

This paper cites DeepSeek-V3 Technical Report.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation DeepSeek-V3 Technical Report

Reference 16

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Observation 6762342b-de94-4203-8733-6fd2d808e4e6 · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation 8-bit Optimizers via Block-wise Quantization

Reference 17

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Source-reported events for the cited work

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Observation 421cbf62-07bf-4ae5-85b9-1679b9672b13 · outbound

This paper cites The Llama 3 Herd of Models.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation The Llama 3 Herd of Models

Reference 18

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Observation 93670f9a-ca97-4b4a-8c4c-206a2ca664e7 · outbound

This paper cites , Yin, H.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Yin, H

Reference 19

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Observation a523aa98-fd84-4e80-ba83-96a4b73c3727 · outbound

This paper cites , Zoph, B.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Zoph, B

Reference 20

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Observation 3f16ecd4-8f50-4905-8169-2b6dbf433ff1 · outbound

This paper cites , Tow, J.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Tow, J

Reference 21

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Observation 9979ba70-a6ab-4b4c-b262-03a08a25eb3e · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Unresolved cited work

Reference 22

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Observation 5852a804-3ea1-4c28-b719-26f3ac57ffa2 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 23

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Observation bc2e69d3-0f35-4e8a-87a9-d9626c716b4d · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Learning both Weights and Connections for Efficient Neural Networks

Reference 24

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Observation 154035d2-efe3-4142-8fb2-e461c098d3f0 · outbound

This paper cites Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques

Reference 25

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Burns, C

Reference 26

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Observation 4c07f7ee-e864-49ff-9664-4e340feb83b2 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Distilling the Knowledge in a Neural Network

Reference 27

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Mixtral of Experts

Reference 28

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Observation 888d7c7e-11a8-4e5b-a153-db41ea789a23 · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Jin, Y

Reference 29

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Source-reported events for the cited work

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This paper cites Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness

Reference 30

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 31

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Zhang, Z

Reference 32

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Jiang, H

Reference 33

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Observation ebbf1c1e-78c8-4eac-af8b-d47e245de0dc · outbound

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

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

Reference 34

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Xia, C

Reference 35

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Observation fe6697d8-3663-4ea8-8c6e-0b3e745e5e80 · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Dong, C

Reference 36

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Sparse Backpropagation for MoE Training

Reference 37

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This paper cites GRIN: GRadient-INformed MoE.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation GRIN: GRadient-INformed MoE

Reference 38

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Decoupled Weight Decay Regularization

Reference 39

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This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Learning Sparse Neural Networks through $L_0$ Regularization

Reference 40

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Liu, Q

Reference 41

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Fang, G

Reference 42

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This paper cites ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Reference 43

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Clark, P

Reference 44

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Farajtabar, M

Reference 45

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Mallya, A

Reference 46

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This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Pruning Convolutional Neural Networks for Resource Efficient Inference

Reference 47

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation OLMoE: Open Mixture-of-Experts Language Models

Reference 48

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Sreenivas, S

Reference 49

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation SEER-MoE: Sparse Expert Efficiency through Regularization for Mixture-of-Experts

Reference 50

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Nemotron-4 15B Technical Report

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This paper cites Pre-training Distillation for Large Language Models: A Design Space Exploration.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Pre-training Distillation for Large Language Models: A Design Space Exploration

Reference 52

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Observation 582a7b3b-a78d-4856-8029-316d8d0db109 · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Sharma, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.206596Z

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Observation 68d60147-8fce-4e11-937a-9d225e6243c3 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.639517Z

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Observation 1901b909-9aa0-437c-92db-bac6e04954a4 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation FitNets: Hints for Thin Deep Nets

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.644247Z

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Observation bdcfc80c-ef83-4f04-86c7-77bc33b92977 · outbound

This paper cites , Bras, R.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Bras, R

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.190485Z

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Observation cb85d8ef-3f8f-428e-98ce-614ec50c1083 · outbound

This paper cites , Wolf, T.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Wolf, T

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.175644Z

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Observation 353a0006-75b7-4a16-9e63-5c1f825adb2e · outbound

This paper cites GLU Variants Improve Transformer.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation GLU Variants Improve Transformer

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.657724Z

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Observation 34603bff-0226-42dc-a528-1ba47f1e7cac · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.662292Z

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Scales, N

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.121996Z

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This paper cites Gemma 3 Technical Report.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Gemma 3 Technical Report

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.671575Z

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Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:58:36.074791Z

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Shazeer, N

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.059688Z

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Observation 6a2eef9a-de43-425b-9e75-f8e84e90df29 · outbound

This paper cites an unresolved cited work.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:58:36.043811Z

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Observation 2e003f94-294b-4f50-a652-b55061d74b26 · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Gao, T

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:36.024674Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef7876b9-4dc5-4d2e-ba34-221b5595ef62 · outbound

This paper cites Structured Pruning Learns Compact and Accurate Models.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation Structured Pruning Learns Compact and Accurate Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.694908Z

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.772556Z

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Observation f67a78b1-1d12-4b16-bdc5-6f1520553529 · outbound

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Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.895904Z

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Observation 38e4c1b4-dff6-4853-919d-8e25c1d55aed · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:34.901052Z

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Observation 03c89b0e-a43b-47fa-93a7-aea4ee201fdb · outbound

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SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Cao, Z

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:35.970434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07b3587a-2a5b-4856-9b2f-a713fcf7a110 · outbound

This paper cites , Holtzman, A.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Holtzman, A

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:35.876041Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e885dcaa-0258-4b72-b3be-70b6182dcbe9 · outbound

This paper cites , Zuo, S.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Zuo, S

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:35.858981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dafb951e-7917-401f-ace9-8064dd69bf4e · outbound

This paper cites , Chiang, W.

SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation , Chiang, W

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:35.807967Z

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Pith citing papers

Observation 4d4a5acc-75a2-4225-bddb-637d91878c92 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f3091ad0-4e77-452b-8eb4-44f7fd349f6f · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9eb82aee-218f-43e1-ac45-286752f3db72 · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:28.297698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 140c4f58-c62c-4443-b1e7-bc6a9b4b382f · inbound

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:23:51.279419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68144bee-6c3d-43a6-8339-6be28052966a · inbound

Pruning and Distilling Mixture-of-Experts into Dense Language Models cites this paper.

Pruning and Distilling Mixture-of-Experts into Dense Language Models SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:43:25.582189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.