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Paper Citation Record · LEDGER

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models

As of 7 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.06502.

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

pith.paper-citation-record.v1
2507.06502 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:16.872231Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy1
  • unresolved36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 358d3e88-f6cc-412c-ac02-c06a3a51087b · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 1

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Observation 1600cac8-6763-4452-88e1-cf5033906973 · outbound

This paper cites Chronos: Learning the Language of Time Series.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Chronos: Learning the Language of Time Series

Reference 2

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Observation 19948069-1b87-45ed-8d9d-228b0dbde63e · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 3

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Observation ca0fb91a-02b7-4251-a8cd-e0331e89c27c · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 4

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Observation 7fb93e9d-95c1-4906-96c0-314155b5049c · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models A decoder-only foundation model for time-series forecasting

Reference 5

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Observation 56445817-3d6c-4961-a4f9-beedf75e262c · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 6

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Observation b5fa7286-b29e-4546-9b83-c37bd7197090 · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 7

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Observation b2c17f7e-a426-42d4-9064-d6631ac03f70 · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 8

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Observation 82dfdd99-083d-4a00-b54e-8be3a3892ea4 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models MOMENT: A Family of Open Time-series Foundation Models

Reference 9

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Observation 8b6f2ee4-3b23-4789-b204-abd9fd0b2fb0 · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 10

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Observation 6f6728c8-e41e-4790-973c-b14e3eceb043 · outbound

This paper cites Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Reference 11

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Observation e6943e0a-e82e-4507-8233-f4a919e9e9c3 · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 12

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Observation 8eddc04d-2547-48d7-9880-38e6f703e2d9 · outbound

This paper cites Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

Reference 13

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Observation 431d8087-6816-4e21-a7a8-f029ba7d3805 · outbound

This paper cites an unresolved cited work.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 14

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Observation ced093af-4af7-458b-87ae-433c234804e3 · outbound

This paper cites DeepSeek-V3 Technical Report.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models DeepSeek-V3 Technical Report

Reference 15

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Observation 8449b449-045a-4517-bd6c-32c746a290ae · outbound

This paper cites TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 16

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Observation 5a65d686-ff62-4b62-bab2-e2ede58e0fe7 · outbound

This paper cites Time Series Analysis for Education: Methods, Applications, and Future Directions.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Time Series Analysis for Education: Methods, Applications, and Future Directions

Reference 17

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Observation 9e663a4e-1054-4255-997c-d38253a7beea · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 18

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Observation e042c6af-2ceb-4c2c-a749-2704a8cc8f25 · outbound

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 19

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 20

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Observation cc12d674-a421-4001-a786-3ff2ff7f3fe5 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 21

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 22

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Observation b9c5e804-d71a-46b5-8aac-d22feeecb0a2 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 23

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Observation 96681131-0c4e-4ab1-a288-7b65fb361500 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 24

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models 1971.Introduction to Fourier analysis on Euclidean spaces

Reference 25

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Observation 9fb863ff-6bfc-4e3f-a508-bcd1d11129c2 · outbound

This paper cites TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Reference 26

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 27

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Observation bfa9a461-776a-491b-aa0e-7fad1ee50c18 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 28

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Observation b59767dd-0683-49a1-b29f-80b4249ec53f · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 29

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Observation c402fbaa-54bc-4ce1-bfed-a68acc111805 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models FITS: Modeling Time Series with $10k$ Parameters

Reference 30

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Observation cd10848e-53e3-40de-8ac2-d383e7d18595 · outbound

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Reference 31

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Observation 62135091-59fc-40bd-a2f8-236707ead4ec · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 32

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Observation a678361e-7d9a-47ff-b918-27f81cfbf03f · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 33

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Observation f34c1d97-0a42-4f11-964d-b1c680169bcc · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 34

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Observation 88edd75d-d27e-4142-b2c0-67ee0e11fb03 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 35

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Observation 1fad742c-409d-4a31-b7a6-d33366955f41 · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 36

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Observation 10c5e141-311c-4f73-b32e-ad653abac8ba · outbound

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MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models Unresolved cited work

Reference 37

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Pith citing papers

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