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Paper Citation Record · LEDGER

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting

As of 11 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2501.13989.

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

pith.paper-citation-record.v1
2501.13989 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:58:14.816685Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy42
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39b6d3e5-e40c-4c28-86ea-20fda361a729 · outbound

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

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Chronos: Learning the Language of Time Series

Reference 1

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no resolver link, observed 2026-08-10T15:58:14.600626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.600626Z digest=sha256:f8643f530f46e4aa8c3f0d2e5fb3f5c9aceaa627d110f757f0325cb5827bdec8

Observation 6b7a8c7c-f6aa-4727-ab6d-7cd13e449c35 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

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source=arxiv_source observed=2026-08-10T15:58:14.605335Z digest=sha256:3323921fc8a858d0f89e6550575802a684ca202e4d4ed5f5587e2d749954baa6

Observation e673e8ea-4021-4058-9cb2-745846256815 · outbound

This paper cites Tamp-s2gcnets: coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Tamp-s2gcnets: coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 3a4cc436-177d-4f1d-b6f9-c54c38cedb51 · outbound

This paper cites Long sequence time-series forecasting with deep learning: A survey.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Long sequence time-series forecasting with deep learning: A survey

Reference 4

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raw_fallback, observed 2026-08-10T15:58:15.480189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.614558Z digest=sha256:41a6a8bb0ab1042f2bad94de096a86f3ac93c327230c39e38c4418981519d9cf

Observation bbf5589f-c94b-4c87-af39-3a3130d05ff0 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 5

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raw_fallback, observed 2026-08-10T15:58:15.468306Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T15:58:14.619988Z digest=sha256:d3757d1dfee4a519bafa1370dbe2fb20e1d011d90d5fa7e8db8470e856cec7c1

Observation 252343b7-fd31-413a-83bc-bc56b2bd6960 · outbound

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

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting A decoder-only foundation model for time-series forecasting

Reference 6

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source=arxiv_source observed=2026-08-10T15:58:14.623986Z digest=sha256:30c790f1af5d75a0b9344762af577c0f7f8823413d17b9eef0343451ef83b513

Observation ad6c7bea-9a62-4336-ba0d-bed03d929136 · outbound

This paper cites DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting

Reference 7

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source=arxiv_source observed=2026-08-10T15:58:14.628316Z digest=sha256:f40ecfa73df2bf965c6239efe1635b5bcbd6a960368102c73af7891e972dc3e3

Observation 53c79134-c298-4887-9131-a99b1d8ae533 · outbound

This paper cites Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting

Reference 8

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no resolver link, observed 2026-08-10T15:58:14.632165Z

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source=arxiv_source observed=2026-08-10T15:58:14.632165Z digest=sha256:c106cf0541ab33a3ce221afa1f262e68dfa6d9f97c2363851d63ebdeb42ff2cc

Observation a318d438-a8ef-49ae-aa89-5e5c37ad312d · outbound

This paper cites Moment: A family of open time-series foundation models.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Moment: A family of open time-series foundation models

Reference 9

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raw_fallback, observed 2026-08-10T15:58:15.457026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.635831Z digest=sha256:908f3c9c6b74c29862c1b7fd6a31df86ebdbae27b233d878e728ea50bcf71739

Observation 0e1d99da-6728-4c40-b329-a596d5d27b46 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

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no resolver link, observed 2026-08-10T15:58:14.639411Z

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source=arxiv_source observed=2026-08-10T15:58:14.639411Z digest=sha256:7afccf0236ce34f8f12f3e0234020de4a5e05ee2e04b130b9b3db564f7b91208

Observation b7e6542f-243e-4fb2-a091-788ed0c33a16 · outbound

This paper cites Flatten transformer: Vision transformer using focused linear attention.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Flatten transformer: Vision transformer using focused linear attention

Reference 11

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raw_fallback, observed 2026-08-10T15:58:15.445901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.643203Z digest=sha256:36d648a68b269457cbe349655706e8879bc468653ef8355165bfc3819d85241e

Observation d22e788a-26b5-4ca0-b4db-43d512a119a0 · outbound

This paper cites The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting The capacity and robustness trade-off: Revisiting the channel independent strategy for multivariate time series forecasting

Reference 12

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raw_fallback, observed 2026-08-10T15:58:15.435128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 84f36b50-84ef-4e0f-84ec-7918bfe4ca42 · outbound

This paper cites Catn: Cross attentive tree-aware network for multivariate time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Catn: Cross attentive tree-aware network for multivariate time series forecasting

Reference 13

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5013d3f7-75ee-47b0-926f-a6436cc7e08d · outbound

This paper cites Matrix analysis.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Matrix analysis

Reference 14

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source=arxiv_source observed=2026-08-10T15:58:14.655437Z digest=sha256:a9a5ee57c2044837213580442a650cab7a5c26e59d33a796dd02f84cd3672b47

Observation 214d42ce-21f2-4286-b074-cf37c6c2d195 · outbound

This paper cites Time-llm: Time series forecasting by reprogramming large language models.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Time-llm: Time series forecasting by reprogramming large language models

Reference 15

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raw_fallback, observed 2026-08-10T15:58:15.407107Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.658914Z digest=sha256:c8d8c82ec2d91381398c9cfe77035c49a57981ae72397abdda006500080f1208

Observation 57a6bf57-2e57-4292-979a-94bc69597a92 · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 16

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raw_fallback, observed 2026-08-10T15:58:15.396153Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 66a1b42a-1ec8-4739-9e18-c7e3c51e265a · outbound

This paper cites Kingma and Jimmy Ba.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Kingma and Jimmy Ba

Reference 17

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Observation 02b28dcf-ab9b-4381-bf7e-00513001a2f1 · outbound

This paper cites Reformer: The Efficient Transformer.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Reformer: The Efficient Transformer

Reference 18

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Observation 62c07311-890e-4773-bdaa-ed3523320668 · outbound

This paper cites Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting

Reference 19

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raw_fallback, observed 2026-08-10T15:58:15.373528Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.673298Z digest=sha256:50acd71a4a0941248023b2953504a23c57713b1fb6e2b49ce401d7dbeb373daf

Observation 215a3597-f438-4ddf-89a0-8bf274e79a9b · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Modeling long-and short-term temporal patterns with deep neural networks

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.362120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.678583Z digest=sha256:bd14c3c4c8a38a38b457d1ad559cd5249dffa4f7482777e57835919f7f73044a

Observation 2ab503ea-5f6c-4eee-934f-02eaa7125cb5 · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 21

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source=arxiv_source observed=2026-08-10T15:58:14.682026Z digest=sha256:10bf6ef00d1f1c82883dfcfc603662774bd9867a3d6c35f088b8f22b76d37326

Observation 4c8e49dd-f3f9-4936-804d-291ce085c7c1 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Swin transformer: Hierarchical vision transformer using shifted windows

Reference 22

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raw_fallback, observed 2026-08-10T15:58:15.350181Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.685762Z digest=sha256:0ad542fd73305bc9bbe937b827af62b1bbee750c7b3e0b421be88471b879f284

Observation 147b1a7a-be89-43cd-b965-f907ccee9eb2 · outbound

This paper cites Scinet: Time series modeling and forecasting with sample convolution and interaction.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Scinet: Time series modeling and forecasting with sample convolution and interaction

Reference 23

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raw_fallback, observed 2026-08-10T15:58:15.338835Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.689303Z digest=sha256:0f25c8d41793fff7773c37bc9aceef5bfb24b0bec3ddfceddb021c2aa23c9092

Observation 1c460691-55d9-4923-a912-b19f1af9b029 · outbound

This paper cites Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting

Reference 24

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raw_fallback, observed 2026-08-10T15:58:15.327242Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.692725Z digest=sha256:c0ee255f025dd8de0e5d8682ab29f3befbf40fda2ee8bb85fef70d088abf0377

Observation c5b44c72-9409-4807-9bbc-18fc69e1e317 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 25

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raw_fallback, observed 2026-08-10T15:58:15.315695Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.696171Z digest=sha256:0457d311f4a9c8801d8a490d6dbb5e6098f56b8f9252042ab52840a1365a92ab

Observation d56db667-6085-4d4a-b9ac-f0a0c625a172 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting itransformer: Inverted transformers are effective for time series forecasting

Reference 26

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raw_fallback, observed 2026-08-10T15:58:15.303394Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 661ca523-6a9e-4959-907a-6c5adca1c0c2 · outbound

This paper cites Timer: Transformers for time series analysis at scale.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Timer: Transformers for time series analysis at scale

Reference 27

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raw_fallback, observed 2026-08-10T15:58:15.291604Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.703169Z digest=sha256:ba3291a54ba909109095b6553c17626b139d6fd110f390a89f2f88d63186bbbf

Observation 550396e1-ab32-4161-8ba8-49f2f9b77255 · outbound

This paper cites Algorithms for discrete Fourier transform and convolution.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Algorithms for discrete Fourier transform and convolution

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.280361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.707253Z digest=sha256:9977ef40dd6c1251e7d9ca8ee761a13773e32f1022081e0fe3f051d37daa1a39

Observation ac245be6-ebe7-49d4-a4d9-41c4d9fee896 · outbound

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

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 29

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raw_fallback, observed 2026-08-10T15:58:15.268896Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.710672Z digest=sha256:916d448829b2e5bcbaf37e2153ac936e38ef3b1f0e70b0959503f141c3981473

Observation f33cfddd-4ce3-409e-a0c2-579d6b7df152 · outbound

This paper cites Signals and systems.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Signals and systems

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.257102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.714254Z digest=sha256:c36326d32800fbcd50bf58c3f60494b2d2f05c9fa54d91c69017d3c4a6bf8d83

Observation 7b780085-b469-4b49-8c0c-74884887703b · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Pytorch: An imperative style, high-performance deep learning library

Reference 31

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no resolver link, observed 2026-08-10T15:58:14.717678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.717678Z digest=sha256:aa0819570d143a9b30cf93f252788492b2503b4e2d655467cb5c1d5602341d9a

Observation 8765e8e0-b4b2-4138-ab1a-28fc4683b502 · outbound

This paper cites Fredformer: Frequency debiased transformer for time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Fredformer: Frequency debiased transformer for time series forecasting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.236766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.721262Z digest=sha256:334d85c53b3e94d96bb6f5ebe3575876a3515f44f65d5264611532853e0f96dd

Observation 1ddcbeab-150f-4934-b3a8-eb19b56a3ce8 · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Deepar: Probabilistic forecasting with autoregressive recurrent networks

Reference 33

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raw_fallback, observed 2026-08-10T15:58:15.225665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.724695Z digest=sha256:811867ffe7b2e318fcc098cc71d1513a2572a314b5c334f471c8bf76aac8cb4b

Observation ef7bfcee-a9f3-432b-8a20-f3aad3d41398 · outbound

This paper cites Laser: Attention with exponential transformation.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Laser: Attention with exponential transformation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.214821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.728137Z digest=sha256:d3d425d5db574cbc7541c9593ccb0266ff5b4e7e2671946ca54b6df519685cda

Observation 28cc0f90-8dd7-4261-8717-69ebfa3cfd64 · outbound

This paper cites Attention is all you need.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Attention is all you need

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.203303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.731740Z digest=sha256:bc42888b663c9fbf193431d1f785fd4ad203a542c523559c9a1fecc0a68128be

Observation d19918a5-0123-46be-b062-d6a44b67d250 · outbound

This paper cites FreDF: Learning to Forecast in the Frequency Domain.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting FreDF: Learning to Forecast in the Frequency Domain

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.735410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.735410Z digest=sha256:57b8ea1cd752bae591302798bfafed208af220be58c32df90ed76512e1160dc5

Observation 43b394b2-2200-4840-a940-84f0cc7cf05a · outbound

This paper cites Zhang, and Jun Zhou.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Zhang, and Jun Zhou

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.189577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.739218Z digest=sha256:c9296426105e932b0d83c302932c3352cd2a81d1acf36c628a7dce84d9a8dc99

Observation 719ece11-2aa3-4328-9efe-5ca545298231 · outbound

This paper cites Card: Channel aligned robust blend transformer for time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Card: Channel aligned robust blend transformer for time series forecasting

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.177821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.742655Z digest=sha256:9699dc6d11d46ba81d372beccc93ff00e08f807f2b4a61a4ff539a1d77a1b5d0

Observation 59437a9e-ca21-4dca-af87-acc8ec14392b · outbound

This paper cites Unified training of universal time series forecasting transformers.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Unified training of universal time series forecasting transformers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.166950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.746206Z digest=sha256:f5a72ee500d035ad832d3c71c032fdf050c3aa0f57f40124446f778d49405b07

Observation 5d4e01b7-058d-4741-bec4-cfaa1eb50425 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.156172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.749756Z digest=sha256:8af4d3ebcfbb8c73c2b62f67c6ccb0b3ed895328e88aee4a78beb758011c0cea

Observation 80c20035-173a-4a42-a75c-16747b04ce08 · outbound

This paper cites Flowformer: Linearizing Transformers with Conservation Flows.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Flowformer: Linearizing Transformers with Conservation Flows

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.753067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.753067Z digest=sha256:2b8f286d0471dca61b32c0e6483b5c5f0789796056b1dbe24d5d1eced8fc7005

Observation c776d71d-85d2-44b7-b563-0a26f68d72ea · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.145273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.756801Z digest=sha256:3febc69d04b1e86ba8195b04c71fb737b0ceca479508ba401d7807b8c5c74520

Observation 71f13b94-c418-44af-9754-e68439724677 · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Interpretable weather forecasting for worldwide stations with a unified deep model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.134895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.759847Z digest=sha256:dc3f01ad07fc6acedea90e496b555e5fc2f2ad30e96860a3c1b8775c111eae88

Observation d5ca74f1-74dc-45d7-ae55-cc931c2746ef · outbound

This paper cites o mformer: A nystr \.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting o mformer: A nystr \

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.123241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.763360Z digest=sha256:f76f532a64c5d51e590e214b78a41ddcb86a5380855a76e8b2b09d428bde25b7

Observation e896ad3b-9125-4eee-a08d-a495b2a35cd6 · outbound

This paper cites FITS: Modeling Time Series with $10k$ Parameters.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting FITS: Modeling Time Series with $10k$ Parameters

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.767278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.767278Z digest=sha256:72ce4611549092b4085c113e01791db244fa1df960f95f61b6d5bc9da68d7844

Observation 26e06094-3cc6-4742-9438-cc316d6b5487 · outbound

This paper cites Frequency Adaptive Normalization For Non-stationary Time Series Forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.770945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.770945Z digest=sha256:aeff34623247236ba2403111aa3aa6f5b7bc78bd580726cfd9b82f3071b516de

Observation 1cd10e66-f2a5-4914-9921-e8324c42fda5 · outbound

This paper cites A Survey on Deep Learning based Time Series Analysis with Frequency Transformation.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting A Survey on Deep Learning based Time Series Analysis with Frequency Transformation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.774503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.774503Z digest=sha256:aec807bfd0541bf931c0240bb8da74d47275adc52ea793ca63dbc1574659b7fc

Observation 95be8e81-1573-4a8b-b977-36e77b3404c6 · outbound

This paper cites FilterNet: Harnessing Frequency Filters for Time Series Forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.778170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.778170Z digest=sha256:73be1d4722d4660cc2a1e244eb708bccaef435c2755ddf65338aa42415091464

Observation 9aebd47e-6e83-41c6-b786-ce0de8946373 · outbound

This paper cites Fouriergnn: Rethinking multivariate time series forecasting from a pure graph perspective.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Fouriergnn: Rethinking multivariate time series forecasting from a pure graph perspective

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.111567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.781804Z digest=sha256:52881d057a8073c04c6b1b226987e2f4d0c8da265f16b24d67210cf4dd4b8df5

Observation bbff9609-d200-48d0-a469-5360b0c0f925 · outbound

This paper cites Frequency-domain mlps are more effective learners in time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Frequency-domain mlps are more effective learners in time series forecasting

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.100241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.785297Z digest=sha256:c64de2cb11d918cb87af3ee1d382cb4b087248b726a8fa593d135af47ea8f939

Observation 442b0490-1551-489c-b0dd-256e75805607 · outbound

This paper cites Revitalizing multivariate time series forecasting: Learnable decomposition with inter-series dependencies and intra-series variations modeling.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Revitalizing multivariate time series forecasting: Learnable decomposition with inter-series dependencies and intra-series variations modeling

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.089133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.788828Z digest=sha256:b98e95d3a62a560914482ad31392599f16dbdfced0d441d0fa6101100855ff24

Observation f74af6d8-b593-4fc3-adf4-5016cf91c67c · outbound

This paper cites Sub-adjacent transformer: Improving time series anomaly detection with reconstruction error from sub-adjacent neighborhoods.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Sub-adjacent transformer: Improving time series anomaly detection with reconstruction error from sub-adjacent neighborhoods

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.077381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.792460Z digest=sha256:cd3134afd29d063b303e02a09976bde27ff72934240c580c35ab68a9a06804ec

Observation b9f13caa-872d-45ad-8f8b-1ee88263c256 · outbound

This paper cites Are transformers effective for time series forecasting? In AAAI , volume 37, pages 11121--11128, 2023.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Are transformers effective for time series forecasting? In AAAI , volume 37, pages 11121--11128, 2023

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.065196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.795886Z digest=sha256:1931ce2ecccec2a78835db0fd159ef20da480743e13870853278f1223d1a54f1

Observation d28630bc-3a7a-424d-ad1c-75e2e7964a1b · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.052604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.799421Z digest=sha256:5e21e6617226848e020914a23d899d1d6c61b99908fad5580dba6c5299860b8f

Observation 97c8ca4e-bdc4-4132-b3c9-9564e1002c56 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.041627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.802883Z digest=sha256:fccaa6c630bab19e6889adaf9dcf3fb2f79577ce166d3b38422eff34e7f1b746

Observation 0dc25275-249c-4fe6-a064-bef431089d30 · outbound

This paper cites Film: Frequency improved legendre memory model for long-term time series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Film: Frequency improved legendre memory model for long-term time series forecasting

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.030131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.806379Z digest=sha256:f439b05e497f0b05c1996aa6d01d157683a787e9df4cf5bcc52c3a4dff0bc60b

Observation 3baf2a62-907d-4652-a04b-ca4b838cb828 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.018273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.809786Z digest=sha256:3cd40ac91fe32f700f9112cfe4318d5549062dbdc7b0f42d88d7fd8e8d03291c

Observation ac96a502-b2e7-4474-80aa-929b26dea821 · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting One fits all: Power general time series analysis by pretrained lm

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:58:15.006023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:58:14.813251Z digest=sha256:12a50c9c0d6bef02cb2ca56168398560ce8f2eab8725829f4c810db32651331e

Observation f76b3284-8df2-41d8-88a9-90d07a7c6307 · outbound

This paper cites write newline.

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T15:58:14.816685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:58:14.816685Z digest=sha256:d92c5e66cec03d63ce66f854a25706fc931424c01fd3d9e8620a12e380bfbf63

Pith citing papers

No inbound Pith citation observations are available.