Paper Citation Record · LEDGER

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2509.10377.

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

pith.paper-citation-record.v1
2509.10377 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:57:25.255094Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:14:02.870202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:35:55.658485Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf48e78e-0b69-4ae9-a2d0-b527a833f4ea · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:24.594815Z

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Unavailable: canonical work link unavailable.

Observation 466e96f0-cd6b-4af6-ba4f-f0e8352ac675 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:24.668959Z

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Observation 2bccc623-be7b-453a-9f6c-9029ea27ee30 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:24.731000Z

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Observation 18dc9542-dbe7-4ce0-8934-929aa1388199 · outbound

This paper cites Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:24.835167Z

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Observation 627f668c-cf03-4e56-bf81-3ac7bb0a284d · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:24.895457Z

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Observation 908cd80c-7c1c-40df-8dda-7a05ec1c1449 · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Task-Specific Expert Pruning for Sparse Mixture-of-Experts

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.004216Z

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Observation 1d23c995-f4f9-4fcc-8664-25a4f20c7489 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.019805Z

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Observation 937ebf75-9781-49e1-bfa1-9f6ce591e767 · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.024965Z

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Observation 6fa22ee5-0922-44fa-9345-b5d104b3b7e4 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.030025Z

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Observation be2f1e30-cece-42c6-8f40-40d8a7ecbf03 · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.034771Z

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Observation 042beabb-d61b-4254-8cc3-6117c1bb2b2b · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.047632Z

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Observation f09e663e-d60c-44cd-af20-4a65f8f92a0c · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.053312Z

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Observation 360a7001-d0d3-4daf-b180-b4ba478c2cb4 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.064191Z

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Observation d94c7e28-c8ed-4985-8239-4986049b9868 · outbound

This paper cites Enhancing Large Language Models through Structured Reasoning.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Enhancing Large Language Models through Structured Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.068676Z

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Observation f5038bc5-5295-49e7-adc2-2e9f36c9abf0 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.073361Z

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Observation 7bdbe17f-3b3a-4a46-a047-249925abe0b4 · outbound

This paper cites Delta Decompression for MoE-based LLMs Compression.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Delta Decompression for MoE-based LLMs Compression

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.077844Z

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Observation 6aba06ae-3b10-48c2-b60a-d84d17d1e76b · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.082947Z

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Unavailable: canonical work link unavailable.

Observation a83d21a5-8cbe-40cb-b0c2-8cc503c00db2 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Measuring Massive Multitask Language Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.087985Z

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Unavailable: canonical work link unavailable.

Observation a898aaab-472e-45b6-a8bd-490ba004b6a3 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.093266Z

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Observation a31b5f8a-3e13-44aa-86c8-70f30982774c · outbound

This paper cites Mixture Compressor for Mixture-of-Experts LLMs Gains More.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.097951Z

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Observation 579d5f38-9307-4dc3-9105-4db8d017c367 · outbound

This paper cites Mixtral of Experts.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Mixtral of Experts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.103790Z

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Observation ed0a51ce-2bb7-47f3-a67a-2f571bdd768d · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Gonzalez, Hao Zhang, and Ion Stoica

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.108836Z

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Observation 1d054ccb-b942-499f-a29d-6e18b595ffc3 · outbound

This paper cites Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.113322Z

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Observation dd9e411a-dd3e-46f0-be74-774c7a56a097 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.118540Z

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Observation efafb95a-c198-4414-bad4-e54edd43d164 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.122791Z

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Observation 65736905-6bd2-43c5-9f58-6fb9e04ed6bc · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.127723Z

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Observation eb438bf1-619e-47cf-a254-589dc0b72d80 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.133608Z

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Observation d2ed7b9a-afbb-42ac-a504-ba2da156393d · outbound

This paper cites SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.137742Z

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Observation 85bede88-5042-444a-81ed-6c89262a02bb · outbound

This paper cites DeepSeek-V3 Technical Report.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs DeepSeek-V3 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.142456Z

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Observation b966d609-c9b1-400b-9d19-4d782f931642 · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T17:57:25.147648Z

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Observation 339fbb8d-4a5f-44cb-8f36-47fdd420d8e1 · outbound

This paper cites A Closer Look into Mixture-of-Experts in Large Language Models.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs A Closer Look into Mixture-of-Experts in Large Language Models

Reference 31

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Observation 0283ff76-3549-4e48-8be1-a5c9d2fb79ea · outbound

This paper cites Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

Reference 32

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Observation f0dfaeab-3c9a-43e5-82a7-4e052e5f32a5 · outbound

This paper cites Reassessing Layer Pruning in LLMs: New Insights and Methods.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Reassessing Layer Pruning in LLMs: New Insights and Methods

Reference 33

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Observation d71b0ce6-75fd-4f3f-8df1-ed15f3101898 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 34

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Observation 66f656e5-96d6-49d0-8ef0-1146817ec954 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

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Observation f0b20185-3194-4438-bf50-8eb0afdb05c2 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 36

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Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 37

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Observation 0ccbf1cf-3a24-4622-b68b-147a3b87ef4f · outbound

This paper cites From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches

Reference 38

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This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 39

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Observation 7abf9dbe-ece2-4d9d-b8d4-98ebfb8a0ddf · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 40

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Observation ebb09801-678f-47d2-841b-1f097f2258ae · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs A Simple and Effective Pruning Approach for Large Language Models

Reference 41

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Observation 37f397d3-582a-44e3-8af6-adc426ac2799 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 42

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Observation 08c9e74e-3e7c-44c8-9e29-d72f963ee022 · outbound

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router

Reference 43

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Observation 3d273610-bb58-42c6-9c14-550ee648fdfe · outbound

This paper cites Qwen2 Technical Report.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Qwen2 Technical Report

Reference 44

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Observation c3df6d3c-33f2-43a4-89fc-75718c3ca28c · outbound

This paper cites MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs MoE-I$^2$: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition

Reference 45

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Observation 1d0156df-6286-4c81-8de3-9e49c397941f · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 46

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Observation 9bc4d272-ba4c-4662-8227-240cfce9a586 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 47

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Observation f5d242e3-0bbb-487b-ae5c-e2bf044ea548 · outbound

This paper cites an unresolved cited work.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Unresolved cited work

Reference 48

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Observation 082a5ad0-e22f-4980-99a6-b3ab8d3e15f9 · outbound

This paper cites Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering

Reference 49

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Observation cf65be58-0a90-4f4b-a38d-d32fbfe1f93c · outbound

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Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning

Reference 50

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Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs online" 'onlinestring :=

Reference 51

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Observation 0a1667ec-1b23-4a51-990d-e3107a455d2a · outbound

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Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs write newline

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 11382ae6-745f-4052-9da7-9f2f864d48f5 · inbound

OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale cites this paper.

OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T04:14:02.870202Z

Source-reported events for the cited work

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Observation 55a17f90-94f9-499e-97eb-d6f5a6bc7478 · inbound

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE cites this paper.

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.661187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.