Paper Citation Record · LEDGER

Mixture Compressor for Mixture-of-Experts LLMs Gains More

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.06270.

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

pith.paper-citation-record.v1
2410.06270 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:01:20.093251Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation de989d47-e93b-431f-bd0a-51b97962b5a8 · inbound

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

A Survey on Inference Optimization Techniques for Mixture of Experts Models Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.534899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029dab77-d234-4476-b5fd-912743227866 · inbound

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design cites this paper.

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:01:20.093251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f8362e-98ac-4b02-af34-6a6ad571a912 · inbound

MoPEQ: Mixture of Mixed Precision Quantized Experts cites this paper.

MoPEQ: Mixture of Mixed Precision Quantized Experts Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:32.065487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4be3d51-b750-4753-ad4d-811eebbfd1b6 · inbound

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism cites this paper.

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T20:55:19.068326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs cites this paper.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b064142-5a58-4a74-9966-f203cadd7512 · inbound

ButterflyMoE: Compression-Scalable Ternary Experts via Structured Butterfly Orbits cites this paper.

ButterflyMoE: Compression-Scalable Ternary Experts via Structured Butterfly Orbits Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T09:32:54.926043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bc25c8-459a-4625-9187-ca900587e383 · inbound

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

EvoESAP: Non-Uniform Expert Pruning for Sparse MoE Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.485615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41f8ec7f-8a74-4eaa-b6c3-ba1e5b63188a · inbound

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving cites this paper.

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:18:13.257847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ada1ca3-2bf4-463f-9446-ae1e81e1088d · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:08.002897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63518110-f120-46a5-afc5-3b8bc180558b · inbound

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond cites this paper.

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:29:59.434455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b87954c6-6f18-4176-975c-6d94ed7854b4 · inbound

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference cites this paper.

MACS: Modality-Aware Capacity Scaling for Efficient Multimodal MoE Inference Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:52.049728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 157675a8-a06f-4c64-936e-34227fa319da · inbound

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap cites this paper.

Geometric Asymmetry in MoE Specialization: Functional Decorrelation and Representational Overlap Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:49:15.457621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4713428b-53d0-435d-989e-01b04e914a25 · inbound

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation cites this paper.

LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.229239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1cba6a2d-bda9-40bf-b97d-ded85a8fb132 · inbound

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs cites this paper.

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.903135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 92d8e571-a44a-434b-9502-11c9d483e6e7 · inbound

OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization cites this paper.

OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:03.892891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a24e6471-348f-484a-8b7b-55dbc7af2363 · inbound

Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression cites this paper.

Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression Mixture Compressor for Mixture-of-Experts LLMs Gains More

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T02:10:21.743765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.