Paper Citation Record · LEDGER

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.05799.

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

pith.paper-citation-record.v1
2505.05799 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:23.206783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:06:44.791368Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aac9bb44-f36d-488a-8da0-8cff6d5dd7b3 · inbound

Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:23.206783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e76c524-1d36-4d4b-b0e7-1723665d2ccc · inbound

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? cites this paper.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T21:51:03.992193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f50dad6-e6cb-4bef-a7a2-38beaa5ceeba · inbound

LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers cites this paper.

LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.798871Z

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.

Observation a1e71420-08dd-4415-bec4-d6d31c269da7 · inbound

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference cites this paper.

PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:41:52.850528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1861e9f3-1d25-473e-916f-a8c08c0f001a · inbound

CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering cites this paper.

CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.205305Z

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.

Observation abbf53c6-7b83-45a6-bc60-0514dfa14d96 · inbound

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading cites this paper.

VisMMOE: Exploiting Visual-Expert Affinity for Efficient Visual-Language MoE Offloading MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:06.704030Z

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.

Observation 4315bd31-77f7-43ef-971f-904869774e49 · inbound

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

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:39.963748Z

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.

Observation f994a790-dfd9-4824-a686-9f7f09ec4ad9 · inbound

AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization cites this paper.

AlphaQ: Calibration-Free Bit Allocation for Mixture-of-Experts Quantization MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.793200Z

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.