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Paper Citation Record · LEDGER

OrderMoE: An expert similarity driven distributed edge MoE inference

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:2607.17154.

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

pith.paper-citation-record.v1
2607.17154 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:56:22.340947Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:38:34.613440Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T00:37:29.136165Z

Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation 03a4c933-9e44-401a-91c9-502b0e2382ef · outbound

This paper cites Mobile Edge Intelligence for Large Language Models: A Contemporary Survey,.

OrderMoE: An expert similarity driven distributed edge MoE inference Mobile Edge Intelligence for Large Language Models: A Contemporary Survey,

Reference 1

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source=pdf_text observed=2026-08-01T18:56:18.816248Z digest=sha256:4bc543cf4bcac39db897e095d679860a40e1eb628d301b29bad0bef69cc48df4

Observation e1211f22-d93a-4000-8bab-68cd2392c1b2 · outbound

This paper cites A Review on Edge Large Language Models: Design, Execution, and Applications,.

OrderMoE: An expert similarity driven distributed edge MoE inference A Review on Edge Large Language Models: Design, Execution, and Applications,

Reference 2

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source=pdf_text observed=2026-08-01T18:56:18.966613Z digest=sha256:4984a58182a5ffa7fde0529569887991201807779d4591769380280165363a00

Observation a69edd35-609b-474f-868e-1dfa99b39477 · outbound

This paper cites Mixtral of Experts.

OrderMoE: An expert similarity driven distributed edge MoE inference Mixtral of Experts

Reference 3

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Observation 30d22c05-4306-424a-a193-ff535b597456 · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot,.

OrderMoE: An expert similarity driven distributed edge MoE inference SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot,

Reference 4

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Observation 265f4d25-21d5-492f-b56c-cfca6bfe0bfb · outbound

This paper cites Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues,.

OrderMoE: An expert similarity driven distributed edge MoE inference Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues,

Reference 5

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source=pdf_text observed=2026-08-01T18:56:19.314739Z digest=sha256:e70399817ab2998f2c9b90e3d0b3196c4b0f82592eb9a4de09b95869dfabcb87

Observation 4bcafe77-0533-4479-850e-ab9e24010538 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression,.

OrderMoE: An expert similarity driven distributed edge MoE inference SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression,

Reference 6

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Observation 844bf373-e481-42ed-b962-7f4bcacd1cc0 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning,.

OrderMoE: An expert similarity driven distributed edge MoE inference FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning,

Reference 7

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Observation f0ba5b1d-6ddb-4152-bc87-f0d5573af3fa · outbound

This paper cites Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement.

OrderMoE: An expert similarity driven distributed edge MoE inference Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement

Reference 8

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Observation 1dac2f50-4e5f-439d-8643-bd68e60c9aa8 · outbound

This paper cites Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge.

OrderMoE: An expert similarity driven distributed edge MoE inference Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge

Reference 9

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Observation bc1b80df-5196-409f-b256-0774372e532f · outbound

This paper cites Scalable Training of Mixture-of-Experts Models with Megatron Core,.

OrderMoE: An expert similarity driven distributed edge MoE inference Scalable Training of Mixture-of-Experts Models with Megatron Core,

Reference 10

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Observation 35a921ad-da5d-4dfe-ac2e-262c1cae5297 · outbound

This paper cites An Extensible Software Transport Layer for GPU Networking.

OrderMoE: An expert similarity driven distributed edge MoE inference An Extensible Software Transport Layer for GPU Networking

Reference 11

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Observation 3d9d8a01-1e12-48e9-9983-6771920060c4 · outbound

This paper cites The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities,.

OrderMoE: An expert similarity driven distributed edge MoE inference The MoE-Empowered Edge LLMs Deployment: Architecture, Challenges, and Opportunities,

Reference 13

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Observation 1f99ae7d-f057-4056-9c2e-be3f3c4db500 · outbound

This paper cites Serving Long-Context LLMs at the Mobile Edge: Test-time Reinforcement Learning based Model Caching and Inference Offloading.

OrderMoE: An expert similarity driven distributed edge MoE inference Serving Long-Context LLMs at the Mobile Edge: Test-time Reinforcement Learning based Model Caching and Inference Offloading

Reference 14

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Observation 6ed1faf4-2a54-4457-b947-c75e65b53944 · outbound

This paper cites Layerwise Recurrent Router for Mixture-of-Experts,.

OrderMoE: An expert similarity driven distributed edge MoE inference Layerwise Recurrent Router for Mixture-of-Experts,

Reference 15

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Observation 3531801d-266c-4ae1-acfb-5dd27c181bab · outbound

This paper cites Geometric Regularization in MoEs: The Disconnect Between Weights and Activations in MoE Models,.

OrderMoE: An expert similarity driven distributed edge MoE inference Geometric Regularization in MoEs: The Disconnect Between Weights and Activations in MoE Models,

Reference 16

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Observation 1f88ad24-1848-4849-a273-84a19b1cb636 · outbound

This paper cites Distributed inference acceleration with adaptive DNN partitioning and offloading,.

OrderMoE: An expert similarity driven distributed edge MoE inference Distributed inference acceleration with adaptive DNN partitioning and offloading,

Reference 17

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Observation dad84c46-b378-4662-b941-ed357087ebac · outbound

This paper cites PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency,.

OrderMoE: An expert similarity driven distributed edge MoE inference PArtNNer: Platform-Agnostic Adaptive Edge-Cloud DNN Partitioning for Minimizing End-to-End Latency,

Reference 18

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Observation e6795ce9-f976-4750-8379-13ff3afc8997 · outbound

This paper cites DNN Partitioning for Cooperative Inference in Edge Intelligence: Modeling, Solutions, Toolchains,.

OrderMoE: An expert similarity driven distributed edge MoE inference DNN Partitioning for Cooperative Inference in Edge Intelligence: Modeling, Solutions, Toolchains,

Reference 19

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Observation f59c9c1e-d2b0-48da-94ec-aa844f0f493e · outbound

This paper cites Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing,.

OrderMoE: An expert similarity driven distributed edge MoE inference Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing,

Reference 20

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Observation 781e175a-fc62-4f8c-9212-4522074cfa8b · outbound

This paper cites EdgeShard: Efficient LLM Inference via Collaborative Edge Computing,.

OrderMoE: An expert similarity driven distributed edge MoE inference EdgeShard: Efficient LLM Inference via Collaborative Edge Computing,

Reference 21

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Observation ccef881a-526a-4106-8bbd-3cd9a633d0d2 · outbound

This paper cites Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks,.

OrderMoE: An expert similarity driven distributed edge MoE inference Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks,

Reference 22

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Observation c0cc6423-5a40-4e1b-8fb8-d1b715d2d475 · outbound

This paper cites Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices,.

OrderMoE: An expert similarity driven distributed edge MoE inference Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices,

Reference 23

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Observation d8e79b99-3b5f-45f9-8796-52f88bf63d83 · outbound

This paper cites Birds in Cages: Edge Inference Allocation for Distributed LLM Deployment,.

OrderMoE: An expert similarity driven distributed edge MoE inference Birds in Cages: Edge Inference Allocation for Distributed LLM Deployment,

Reference 24

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Observation ea29b4e5-84e6-44ba-aadc-3796b2faa7df · outbound

This paper cites Cloud-Edge-End Collaborative Inference in Mobile Networks: Challenges and Solutions,.

OrderMoE: An expert similarity driven distributed edge MoE inference Cloud-Edge-End Collaborative Inference in Mobile Networks: Challenges and Solutions,

Reference 25

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Observation a23e4ebe-0133-4a6f-a81e-c473f1e23f67 · outbound

This paper cites ERA: A QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence,.

OrderMoE: An expert similarity driven distributed edge MoE inference ERA: A QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence,

Reference 26

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Observation 38fb18eb-04c9-4e4b-9ae6-424fb2d725be · outbound

This paper cites Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,.

OrderMoE: An expert similarity driven distributed edge MoE inference Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence,

Reference 27

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Observation 1dd50359-987e-4fe5-8321-313c2cf3299a · outbound

This paper cites High Efficiency Inference Accelerating Algorithm for NOMA-based Edge Intelligence,.

OrderMoE: An expert similarity driven distributed edge MoE inference High Efficiency Inference Accelerating Algorithm for NOMA-based Edge Intelligence,

Reference 28

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Observation b4dbaf1b-d660-4f60-80db-2971b54fe40e · outbound

This paper cites AdapMoE: Adaptive Sensitivity-Based Expert Gating and Management for Efficient MoE Inference,.

OrderMoE: An expert similarity driven distributed edge MoE inference AdapMoE: Adaptive Sensitivity-Based Expert Gating and Management for Efficient MoE Inference,

Reference 29

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Observation eeb20a04-b27b-448d-86e7-9cb4ebf2d11d · outbound

This paper cites SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference,.

OrderMoE: An expert similarity driven distributed edge MoE inference SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference,

Reference 30

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Observation 84093702-b44d-4e70-923c-8f093009c22a · outbound

This paper cites Diff-MoE: Efficient Batched MoE Inference with Priority-Driven Differential Expert Caching,.

OrderMoE: An expert similarity driven distributed edge MoE inference Diff-MoE: Efficient Batched MoE Inference with Priority-Driven Differential Expert Caching,

Reference 31

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Observation 66746b93-b60d-4c6f-bd02-ded51e356423 · outbound

This paper cites PROBE: Co-Balancing Computation and Communication in MoE Inference via Real-Time Predictive Prefetching,.

OrderMoE: An expert similarity driven distributed edge MoE inference PROBE: Co-Balancing Computation and Communication in MoE Inference via Real-Time Predictive Prefetching,

Reference 32

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Observation b17f9dc4-f738-46a1-880a-df572e7e9752 · outbound

This paper cites MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism,.

OrderMoE: An expert similarity driven distributed edge MoE inference MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism,

Reference 33

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Observation e1373164-500e-48dd-a73c-babed1681611 · outbound

This paper cites an unresolved cited work.

OrderMoE: An expert similarity driven distributed edge MoE inference Unresolved cited work

Reference 34

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Observation 144c197c-795c-4fba-ae68-1dace95a639f · outbound

This paper cites MoE2: Optimizing Collaborative Inference for Edge Large Language Models,.

OrderMoE: An expert similarity driven distributed edge MoE inference MoE2: Optimizing Collaborative Inference for Edge Large Language Models,

Reference 35

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Observation 4cd28106-eda9-4dd5-ad94-db5237fef424 · outbound

This paper cites Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression,.

OrderMoE: An expert similarity driven distributed edge MoE inference Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression,

Reference 36

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Observation 6dc1ac4b-4807-40eb-8947-b3803a43dc4c · outbound

This paper cites A Survey on Inference Optimization Techniques for Mixture of Experts Models,.

OrderMoE: An expert similarity driven distributed edge MoE inference A Survey on Inference Optimization Techniques for Mixture of Experts Models,

Reference 37

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source=pdf_text observed=2026-08-01T18:56:22.248998Z digest=sha256:7546320e26a399a3ef614546156ebfeb8e25c0c7f9e77077a5e5043571217815

Observation bc2d32d7-060e-4e5d-beac-d94f033e5be5 · outbound

This paper cites Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems,.

OrderMoE: An expert similarity driven distributed edge MoE inference Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T18:56:22.340947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:56:22.340947Z digest=sha256:f3154a4bd78abcb6646dae0a9914534d50add2ca83b523ed80be359e7b184ace

Pith citing papers

Observation 91d0d88d-1bfb-44de-b5cd-6a351b33cabf · inbound

TrimMoE A communication aware and adaptive depth framework for distributed edge inference cites this paper.

TrimMoE A communication aware and adaptive depth framework for distributed edge inference OrderMoE: An expert similarity driven distributed edge MoE inference

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:34.613440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:38:34.613440Z digest=sha256:ff5726da10e3d78b8f2493e6c41af51600171d6b7ccf24ef798fcaae68d9f263

Observation 515cb431-8843-43a2-b2ee-80e4056a1c95 · inbound

HetRoute Heterogeneous and Cost-aware Collaborative Routing Framework for Distributed Edge MoE Inference cites this paper.

HetRoute Heterogeneous and Cost-aware Collaborative Routing Framework for Distributed Edge MoE Inference OrderMoE: An expert similarity driven distributed edge MoE inference

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:37:29.141479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T00:37:29.109326Z digest=sha256:ed5ee990d09d3400a5def08bbb199464caea3a72bab1dab169ebf264c0374f0b