Paper Citation Record · LEDGER

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline

As of 19 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2502.06888.

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

pith.paper-citation-record.v1
2502.06888 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:55:54.179967Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:18:55.137694Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

verified exact1
verified fuzzy2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ef96a6d-4d34-43b9-a9ab-1f8e344c297a · outbound

This paper cites GPT-4 Technical Report.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline GPT-4 Technical Report

Reference 1

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This paper cites an unresolved cited work.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 2

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Observation b7920495-143b-4492-97b1-9b1894a644ee · outbound

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 3

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 4

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This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 5

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This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 6

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 7

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Observation b34b1bb8-ba6b-420f-a049-80e576840b72 · outbound

This paper cites SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models

Reference 8

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This paper cites Fast Inference of Mixture-of-Experts Language Models with Offloading.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 9

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 10

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 11

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Observation ba7e8c3f-6f5a-4b56-a130-708c6edc4eef · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 12

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 13

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 14

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 15

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This paper cites DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference.

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference

Reference 16

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 17

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Unresolved cited work

Reference 18

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Observation 9d0a20a1-2833-44cc-89dd-30f4d1403fd6 · outbound

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Mixtral of Experts

Reference 19

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness

Reference 21

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 22

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Gemini: A Family of Highly Capable Multimodal Models

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline HuggingFace's Transformers: State-of-the-art Natural Language Processing

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Efficient Streaming Language Models with Attention Sinks

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 40

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline MoE-Infinity: Efficient MoE Inference on Personal Machines with Sparsity-Aware Expert Cache

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline OPT: Open Pre-trained Transformer Language Models

Reference 46

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Pointer Sentinel Mixture Models

Reference 2016

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline In 2021 USENIX Annual Technical Conference (USENIX ATC 21)

Reference 2021

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Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline https://github.com/huggingface/accelerate

Reference 2022

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Pith citing papers

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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 Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline

Reference 5

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SpecPrefetch: Parameter-Efficient Expert Prefetching for Sparse MoE Foundation Models Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline

Reference 2022

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