Paper Citation Record · LEDGER

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2510.02345.

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

pith.paper-citation-record.v1
2510.02345 v4

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:50:28.595718Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 842ad0e5-cb19-4cdd-b3e7-ae15c1dc1777 · outbound

This paper cites Harder tasks need more experts: Dynamic routing in moe models.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Harder tasks need more experts: Dynamic routing in moe models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.130480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0d083ba-e15b-41d2-af2f-1b0ef6372b06 · outbound

This paper cites Attractive interactions in the microstructures of asymptotically flat black holes.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Attractive interactions in the microstructures of asymptotically flat black holes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.631899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a3a2cc9-cdb7-4f7b-9dc5-f7d63a3cf313 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.761856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef86f980-9d7c-4e0c-a8a2-de15c80d46b8 · outbound

This paper cites Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.006100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e83e0882-1c5d-4f7a-9c65-94a13644f928 · outbound

This paper cites PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.127696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e2737ca-bfe9-4611-9c1b-b8a4addfac28 · outbound

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

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.415521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef34f6ef-dd67-4d82-9aa9-c59c0f1b628e · outbound

This paper cites HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.595718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2835ae-e076-4e3f-bdba-cb21a34e07ed · outbound

This paper cites SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.001013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc589a1-f992-457c-a3b0-9b88ff96ed8e · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression OLMoE: Open Mixture-of-Experts Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.305370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21831690-3225-4fa1-9258-8824e506373c · outbound

This paper cites A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.482094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac43f15-2835-4702-851f-0f824ce12644 · outbound

This paper cites Mixtral of Experts.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Mixtral of Experts

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.211029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ac8fce-3ce6-4a5f-a526-1f0f6d874e6f · outbound

This paper cites Pointer Sentinel Mixture Models.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Pointer Sentinel Mixture Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:28.194239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0a9910-cf7e-472d-8cbc-5efe986b71f5 · outbound

This paper cites Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.875803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a987b89-a9f3-47b3-b2d8-29e48cb9c897 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:26.925600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cf3ad8a-9b48-4d79-aaee-355c18ad0f5c · outbound

This paper cites GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression GLaM: Efficient Scaling of Language Models with Mixture-of-Experts

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:26.916040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7fc450-2f3c-4e2f-bc11-8b76a80bf606 · outbound

This paper cites StableMoE: Stable Routing Strategy for Mixture of Experts.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression StableMoE: Stable Routing Strategy for Mixture of Experts

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:26.881379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c2775ab-d0b7-4785-87a8-104764d258cc · outbound

This paper cites Mixture of Lookup Experts.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression Mixture of Lookup Experts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.381965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85905def-4ea5-47ee-a46e-70d9ec76f4c0 · outbound

This paper cites MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts.

Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T14:50:27.505927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.