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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=sha256:7ee735e22cab8528aa2d83ca4f7d25f3de79e4a0041bd374d8ce64c2ef5b22fb

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:bacbba82108e67eb317706ba0f8ab7334c28be4d5b2eac217fbbdad3e04039d1

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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source=pdf_text observed=2026-08-04T21:51:03.683272Z digest=sha256:2af5eb929d960b3faa8b61ad82f73f514517139b119fdd2ab2970f9f2a361e77

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:03.785819Z digest=sha256:70c50a3ba47e06aa82e78f19ac80e685332134e8046246180cb32d583bf5a003

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:a2abc60afe1dedd74d05ab78ee1525cb444a915dcf02d60e8cc9712d417999ed

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:f90231c09e05f51fd18072b8576872dae73cfb238308e098a8f3eaadcd323ad1

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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source=pdf_text observed=2026-08-04T21:51:04.085632Z digest=sha256:1a2aa66c62cf7bfd6c904153a62c78c1e19f198ead740c99eed88a307c4f0c4c

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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source=pdf_text observed=2026-08-04T21:51:04.156448Z digest=sha256:dfc7c7f1d49b4189d3a2a4ccd164a19c71d31a46f122af69a24b33a9817ca96f

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.249672Z digest=sha256:7238be41b760b12e3d7f52bd12bc7e38d9f5ef0f4ff6c6058316f2272f8f193f

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:b4a87ab87b89539b96406ba3f14bd274a0adb54c63ce2b4099e01836c582ed34

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:cd3701a5c799370c42a211433d11ce1fa4fef179f3472235cccc6bb08101a7b0

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=sha256:4fc12297a075bae77aa2f8f623a55e42622b92169f34086b15f5d9d2da9ccb9b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.527411Z digest=sha256:c48e344912b7143c360a268fdc8ca3a02a45fb35e591e2863e53619a1f56a8d1

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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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:dfc20ba03533aa010e4e2f036c611cc637219706d53ae1b6d4305f253eafb877

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:bb8f2398fc7051d4391cc82c9da04aed3b27ae967264d4db0dbe3785d3704f56

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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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=2026-08-04T21:51:04.807908Z digest=sha256:b8ffa79f7e6fbf75e697855f897cd087dea47f64da90bba4a2c2ad0c2a923b7a

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=sha256:9fda534a2323a3876e5448ef22e4cfa8be2cc0fd5f6ceea596ec44e762465c43

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:04.927402Z digest=sha256:f500e98d495f2e0da45c80996228700b83ba38b5b6d9d2b7fb996e698eaf9f9e

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=sha256:901235857fc06da126717a756342226519a514141bd8b287b92260d0d3e4513b

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:e9310ced65c5c112bda326c95ade02bf65549490f036bfc71395aa373a9b65bd

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=sha256:5dc9aee4a3054b20e31dd23cf9095279c1e1fcd06790db9f8445c29de004e8c9

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:e1e6b0e1102b68eeafe9d26e23b3d00ce163c48bee915aaa54aff28385dcee64

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=sha256:3c699bd2fef194dd098121431eed07fdfcabbcf9883bbf9f39e81daeed4aa793

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:05.392303Z digest=sha256:7a3c69e2a48cad1d221a3cd417823f2447ea98c95e543eb5642fe4675a9922c7

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=sha256:470dd52bcce0545afb30531881437d1100aa598f06723b47e35679a4d020a199

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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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=2026-08-04T21:51:05.562406Z digest=sha256:b0d8e25dd094cd38853790dccc2184f11680ee1fb1ded1c8dc0fd6f35b9c3c64

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:05.721834Z digest=sha256:c8316b53fb19214abe5bfcfbe80c31e34245806de9a1aacc50c85330b61926a4

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:05.788959Z digest=sha256:ea11223ea52e03ec473abf9d399070e08ae5b59f04cbc76b5e4a3104f9ff148f

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:b45e22ca5a02a21ffa39ac1e60a9be48a50700ce8178c3678edfa1fded231d34

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.016351Z digest=sha256:024fb5893d3bb3a1cf7b6f1988b2668301057886b95845c91e42da74f7faf50b

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:e0d11db654fd5f7dd3223b1f93f60a6e8985061bf77f391ae15f0910526eb821

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:51:06.111084Z digest=sha256:eef0a6a98687546eff8bca8ea06e431bf0edb695431c6a5cbd2e34423864c425

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:fb4460a811444216d2610e1a092080c71f6708df5ca09cd7c4d8b3b90990c888

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:de36a9f0c1afb1e126545dc1885aaa6bed7d8c7082b3b3a973ec505c8046f676

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=sha256:14602859dde9f91049d33f294f2518edee8ccc1cd2e631e82fd4ef0ba9215dbc

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=sha256:44a73715dfebbfd9c1adc863519a3005bba5c7ffb971c8f452395d2585090d96

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=sha256:70f8cd27aa69ec350484a9585d514bcb322f6f5a02985fd2fb38d06167741b75

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:c6f7c93a9c86e8d7c2f810572841d9ad4bfcefdb415c4ece8ba90a9149323efb

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=sha256:602f024fa11d8f818e7e53e353a65003e97d618ea009fd721508c068e0c587f6

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:e71e709165f0245de6a8477ff8e653a393eade0538a0418acb249432c2c1b024

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=sha256:676a2e6fb2797db04d7f7f8fbf977b0f13cbdf1ce4fb2c4ba3929381fbbb5bcf

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=sha256:191d5cfbccb347009159eadf3b72941c33f324d4b3dbe9d5e7876265f08c95c1

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=sha256:1869febc2441a1145478a8c8ee2022721ac53da487bc85ea9bfc2aaaa9fda16c

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:abcc2f1d836e88816844352a2cccb5a490b0b1d637dcae602f4e090f5b7d4111

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=sha256:6363a20f607e45a9f21c1387a3ed094ff083ee00bf8e2aa81d91a41f03a815ca

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=sha256:45477c0c3a2dd3e1a2791cb5c4e1c39da30c2d4e232ad637362ab984be48d581