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Paper Citation Record · LEDGER

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2509.07727.

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

pith.paper-citation-record.v1
2509.07727 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:51:06.752017Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:05:54.779407Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:26:25.173211Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5a012c4-b4bf-427b-adbe-19ee8c868915 · outbound

This paper cites Phi-4 Technical Report.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Phi-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:03.522231Z digest=sha256:5802712af9ea3c7baa431f20002d5810e96249c9f4ff5739711def69f237283a

Observation b44969ec-9340-40b3-8133-fd0ff2f04903 · outbound

This paper cites GPT-4 Technical Report.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? GPT-4 Technical Report

Reference 2

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source=pdf_text observed=2026-08-04T21:51:03.590265Z digest=sha256:d373d4c9e349be1fd9e3d1d5fd6f1104c0da9b2adf2bec551b9e47e4b87a9700

Observation 323cd3a9-69d2-4879-9af2-5fce6d5dcd50 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:03.683272Z digest=sha256:4ffe05d67fca5293bd05e038d06ea642263390b2cced0d7660c5e6061594abca

Observation 3b1837d6-cd86-4eab-ba51-a3ebad3d44e8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Training Verifiers to Solve Math Word Problems

Reference 4

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source=pdf_text observed=2026-08-04T21:51:03.785819Z digest=sha256:965d12c500692802f502a7d6a3fa6ee79f9082f1ab5bb8b29fdfd5cece03fad2

Observation c4847909-2468-4063-9280-474d2ec21446 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-04T21:51:10.220936Z

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.

source=pdf_text observed=2026-08-04T21:51:03.888558Z digest=sha256:bad73f809c76810558c6b384b1eb8171d537b162caaac2544faf401d0f42e57d

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

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

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:03.992193Z digest=sha256:1553f1304f574a16628db6f5d45b867447895ee902b64721f21b9f18e560e201

Observation 50f6c9cc-1a75-4bd0-85ca-829cd62620d5 · outbound

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

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Fast Inference of Mixture-of-Experts Language Models with Offloading

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.085632Z digest=sha256:2042352bd7b6846a7c3331dc4aa0787c042bade9879964da266176ee17933991

Observation 1e0a5290-c882-4936-9ba1-7d317348cabe · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.156448Z digest=sha256:752d1279c489b0d16763a6693edc504d00205f2a012e67b8f02cd2b5109fba46

Observation 02bc761a-5f6d-4e56-a9bb-df85ce805497 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.249672Z digest=sha256:c1cb80815e63233415c32053eca92bc09c1fa5106087be8b540bbbafb0c9565a

Observation c066ddbf-8a57-4b7f-8421-c76b530c331c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

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source=pdf_text observed=2026-08-04T21:51:04.308315Z digest=sha256:09239668f3acd6bbd54f9c8a844b06c04aca5fd8be2e4f17a64dc7e273a3ab3e

Observation c0dca862-5775-4453-8c67-54634e5cf498 · outbound

This paper cites MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

Reference 11

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source=pdf_text observed=2026-08-04T21:51:04.339431Z digest=sha256:1049b5651ff0eda95342120e0c25e816aa2583fa4075d06abab211108f4ca1dd

Observation b501d29a-8ed3-4e44-a26b-7bb7a540ad66 · outbound

This paper cites MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators

Reference 12

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verified exact
local_arxiv, observed 2026-08-04T21:51:07.211175Z

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.

source=pdf_text observed=2026-08-04T21:51:04.428993Z digest=sha256:2067c65f8de7b46ac9272acda53e16f684f22d2b1c4c388a7650279156deb6e0

Observation 774f5ec1-e314-49be-abc5-d84e07a017c4 · outbound

This paper cites An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.527411Z digest=sha256:9b54056072a02149f641a255f9b277eb5e8f1037bdd5afcd98910e96b5ee5957

Observation 6ffbeaf9-901d-4adf-aed8-6729365ad823 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-04T21:51:10.163712Z

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.

source=pdf_text observed=2026-08-04T21:51:04.623284Z digest=sha256:13b88a64d6b3c7e683b6031063a5b89734fa49b1897b79d7d4d696f128903afb

Observation 21714a9b-de36-4139-803d-1aeb8d39ef03 · outbound

This paper cites ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression

Reference 15

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source=pdf_text observed=2026-08-04T21:51:04.713214Z digest=sha256:4cce89a562f285ce2346fda0e1997e15050122e21eb2c4fa3d0a46fe4cc3848d

Observation 1cbd37bc-ac5d-47be-8983-4c235e788281 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T21:51:04.807908Z digest=sha256:51781a348e4ba83ba980b4a81204e4bd98ade497d2397ce24afcd8800dec5a6a

Observation 1f9d861a-ff5f-4e6c-8626-9bb52955585e · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T21:51:04.877871Z digest=sha256:6a89d744f1227b5537412ee5389ff6385e9346ddaf425f439c77d0d9948bafdb

Observation 0ac0181b-ddae-4608-8c9d-cebd3c7f5b61 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-04T21:51:04.927402Z digest=sha256:6a68bac3ef8ebf49d8aeeeecb5f07b969012dce768f3d23ebf694495a7e214cf

Observation 1ea0624e-d3e9-4bd8-bbee-ec599681ae72 · outbound

This paper cites Mixtral of Experts.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Mixtral of Experts

Reference 19

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source=pdf_text observed=2026-08-04T21:51:05.009877Z digest=sha256:999dc0cc9b62da575f458071d7ece417afb28adbe91605276df2210ddbd21e53

Observation b39b1e94-6c3d-4c17-9851-c95924dd86fc · outbound

This paper cites SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget

Reference 20

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source=pdf_text observed=2026-08-04T21:51:05.092526Z digest=sha256:6a6a130127a8078d69e71353b918a0651a4e7dfb05d45b5634d7c8f242a9c4d7

Observation 11aa50f9-1f91-4d4e-8048-11891e6e1f96 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:05.183204Z digest=sha256:72774306fce1a331d3de12bf358ee0a3a434fe3e834a1390af910a78b5d7b14c

Observation 67a153f2-72f2-424c-bdac-b67195291e03 · outbound

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

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 22

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source=pdf_text observed=2026-08-04T21:51:05.255198Z digest=sha256:06c3db65a10f9c7c21b58df4244d24f3fd03b1c43861c493bb5a77aaae9b8c20

Observation d84da147-e5ab-4ced-ac32-2eb0ea9b1545 · outbound

This paper cites Muon is Scalable for LLM Training.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Muon is Scalable for LLM Training

Reference 23

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source=pdf_text observed=2026-08-04T21:51:05.313853Z digest=sha256:f8dee6033023b7ad0fcd5edf2df1f2307c6e99d82699bc1fac5cf7e41d237389

Observation 1f47d478-6a7e-47f2-ac81-c96d1a6ac6a8 · outbound

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

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? A Survey on Inference Optimization Techniques for Mixture of Experts Models

Reference 24

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source=pdf_text observed=2026-08-04T21:51:05.392303Z digest=sha256:e8bc30734a849388123f81edae5e59df7a27d173f51bd61fdf7399c2002a5572

Observation 42adfbcd-c257-4b93-82c0-dbbe7d50c522 · outbound

This paper cites HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning

Reference 25

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source=pdf_text observed=2026-08-04T21:51:05.475899Z digest=sha256:31125d15213e6cb8173eb4f0841946b68047a295f704557a30a32efe6d1a71fc

Observation bb800a38-80d9-4a5f-b87c-bef56e1fc385 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-04T21:51:09.409070Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-04T21:51:05.562406Z digest=sha256:c13c88fb774bd500fedda604b22c2d06b3b014f453045ffef36d05abb5f24dda

Observation 822ff542-9253-4c11-9d77-6273aba3864c · outbound

This paper cites Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

Reference 27

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source=pdf_text observed=2026-08-04T21:51:05.721834Z digest=sha256:8d1bb86bebcf9c41c3d7bb98ad85028411d729d93b68c40e8b08ceeed0c73abc

Observation 06ff5a51-d317-4ac6-b050-6de3fbc091a1 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-04T21:51:05.788959Z digest=sha256:8010541b98cda6c1efe870007f1a9cc909d94cf9d2d31ed6a734b0054bf3b954

Observation d596198a-8b06-47e2-bc35-88d6b623e43e · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-04T21:51:08.638729Z

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.

source=pdf_text observed=2026-08-04T21:51:05.954820Z digest=sha256:566533ad31d30e18a11a01e413d42423bf9fa5cf2c866fb87e0ae924f58df083

Observation d50aedab-b725-489a-87cb-8be51474aea7 · outbound

This paper cites ProMoE: Fast MoE-based LLM Serving using Proactive Caching.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? ProMoE: Fast MoE-based LLM Serving using Proactive Caching

Reference 30

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source=pdf_text observed=2026-08-04T21:51:06.016351Z digest=sha256:7ff5a7d3f6f18fdfc96496c1a5caae6a8ce3fc79fc16905e0623dc2104a3710a

Observation fe87e574-6608-4bb1-9d7d-c8e703e5047c · outbound

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

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference

Reference 31

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no resolver link, observed 2026-08-04T21:51:06.059461Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.059461Z digest=sha256:a2b6686f3e2b7bb39c07020be6ba9faaa804a58f72462f880f406865a289b161

Observation 59568669-79c3-404c-aea5-2ae4920f45a7 · outbound

This paper cites Qwen2 Technical Report.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Qwen2 Technical Report

Reference 32

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source=pdf_text observed=2026-08-04T21:51:06.111084Z digest=sha256:1f3fe55999091d3ba35ac964c7f4b3c0aa997b501e74493944d9a8b938f1fcee

Observation 4983144b-38b9-4e74-a567-97d0faed2f0f · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-04T21:51:08.456117Z

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.

source=pdf_text observed=2026-08-04T21:51:06.164089Z digest=sha256:cf8d528b0639692db7e4ea6a4d7d5e3a232f119db8abe53aeb6121e7311081d5

Observation a6c03b4f-f882-4507-8db1-629b2586b9c1 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 34

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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.

source=pdf_text observed=2026-08-04T21:51:06.235876Z digest=sha256:54ddee1a41b71eddc912f7e5e796819642379c780e0b35a335086fbc8eac9381

Observation 0c39892e-3e9c-48bf-ab36-d4c044207dbf · outbound

This paper cites FedFa: A Fully Asynchronous Training Paradigm for Federated Learning.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? FedFa: A Fully Asynchronous Training Paradigm for Federated Learning

Reference 35

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verified exact
local_arxiv, observed 2026-08-04T21:51:06.947476Z

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.

source=pdf_text observed=2026-08-04T21:51:06.298152Z digest=sha256:d6dec3a7c60c53c8c201bde79df1e2b50ff5cc3fbaf1a31aab99772d8dbcdc72

Observation cba6dd9a-1334-4b62-8995-5bc4f8427629 · outbound

This paper cites MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MoE-Gen: High-Throughput MoE Inference on a Single GPU with Module-Based Batching

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T21:51:06.358411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.358411Z digest=sha256:e4844b3206b6aa215e536f89459c85ecc8d306fb7949f10f1a3c5462fb315b77

Observation 7a2237d3-2723-437f-bcdc-a3fb5ea9870c · outbound

This paper cites MoE-Infinity: Efficient MoE Inference on Personal Machines with Sparsity-Aware Expert Cache.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? MoE-Infinity: Efficient MoE Inference on Personal Machines with Sparsity-Aware Expert Cache

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T21:51:06.401918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.401918Z digest=sha256:0c0385bfb5331a7a4435ede337e3b6a1be895eceb6622291730366990ae5c564

Observation a916f70c-bf7d-456d-aa1b-ae31cac0e015 · outbound

This paper cites CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T21:51:06.463600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.463600Z digest=sha256:66a669e23027eefdb8bd52ac5ddc6a601373fb6f6229bbba78541a9ac81aa2f3

Observation 7232245e-f6ad-4f5a-b6c4-a0581c8ca306 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:08.105577Z

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.

source=pdf_text observed=2026-08-04T21:51:06.511597Z digest=sha256:9a0454410f49e6036a7d8571ae0cf9ed0092afd4c8ed645707b3dab98fa2df3a

Observation 14667f2d-5ca9-4007-9d69-93cfbc353740 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:07.902766Z

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.

source=pdf_text observed=2026-08-04T21:51:06.589644Z digest=sha256:815cec183a434b3958ba2b1e41dcf70ccb48d815b826c08e2ffb60340a0be562

Observation 8b1983e8-ede3-481f-8d38-e7771225152f · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:07.721825Z

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.

source=pdf_text observed=2026-08-04T21:51:06.652191Z digest=sha256:112278d144fc489c7c0d6bdbe7c03b376e88dcd210225fa9fb86140d2b29fbc2

Observation 31bd89af-bdfa-45f2-b3b2-197506784bb9 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:07.563015Z

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.

source=pdf_text observed=2026-08-04T21:51:06.697404Z digest=sha256:8fa716b9da1e936683204a33066c3b6a879d77f60b45bd7d35c77c54194ed2df

Observation 76ec3c16-1d90-497b-878b-c0849995b8c8 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:07.426048Z

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.

source=pdf_text observed=2026-08-04T21:51:06.752017Z digest=sha256:0f7dd3cae639015c7b676950d5c8adfdb80928f5cf5c004082b8d3c0db4d9603

Observation 4f8d346e-95b6-4c04-b3f3-c92d402e9f21 · outbound

This paper cites In2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD).

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? In2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:51:08.976443Z

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.

source=pdf_text observed=2026-08-04T21:51:05.863558Z digest=sha256:0326af31820a39cd6f2c47bb229b6e404154f61687cdb6638f19c4545750b488

Observation b85a2bff-44ec-4348-9a5b-f83672ebeae9 · outbound

This paper cites an unresolved cited work.

MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model? Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:51:09.181825Z

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.

source=pdf_text observed=2026-08-04T21:51:05.639362Z digest=sha256:b11f879fa1d36502f4bd209c367cc9b23f1b3455155bd8ec0a72dcadff828b3b

Pith citing papers

Observation 5f376c0b-21ca-421c-9a0e-0363476b16ba · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.175187Z

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.

source=pdf_text observed=2026-05-07T11:05:54.779407Z digest=sha256:caa50443649325dc8d955caa29c181eca2b7b571acfe7ab7249c1f89a70c934f