Paper Citation Record · LEDGER

QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.08155.

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

pith.paper-citation-record.v1
2406.08155 v2

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 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:32.086113Z

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

1
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 a78933dc-47ac-4271-b551-fc29047ec64d · 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 QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T12:44:35.729393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760e1b72-90d1-4fc3-9f7d-0a099ebef168 · inbound

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

MoPEQ: Mixture of Mixed Precision Quantized Experts QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:32.086113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ef0cf1-1054-4dfa-81f6-bc675d0600fe · inbound

Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering cites this paper.

Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:36:59.129884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3cd4d4a6-2863-4583-8385-140bbca65611 · inbound

Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models cites this paper.

Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T01:31:28.847292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fdf20858-6652-41a7-b4ad-f5e9836ccf75 · inbound

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models cites this paper.

FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:03:56.504800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8127f43-f456-4c49-bbe5-e48b994e8ed7 · inbound

On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain cites this paper.

On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical Domain QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:18:58.224927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 963ba329-968b-451c-9c0a-517cb3b67327 · inbound

PagedWeight: Efficient MoE LLM Serving with Dynamic Quality-Aware Weight Quantization cites this paper.

PagedWeight: Efficient MoE LLM Serving with Dynamic Quality-Aware Weight Quantization QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:09:09.248989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41dbcc43-cdf7-41d7-8345-a8e43031b87e · inbound

Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving cites this paper.

Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T04:25:48.982852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.