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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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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T15:58:14.600626Z digest=sha256:079dbb5f12f0577dae9e0b07e179546d8073c3bd3f5940bd213f2404a0b12b3b

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=sha256:10635e59105ab0935f5767a2c5ba23c6e8468b66aeafacd21b7d1761c00c876b

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=sha256:5ad3fb9d97e40efa7f1cba01ea28cf7ab1f81725666b16b31e3b3ce101306567

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

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

source=arxiv_source observed=2026-08-10T15:58:14.619988Z digest=sha256:43c5345bac9929184a2a23c77fc76e9562ee1c1f6b3dc025495700b1fa02c34f

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:cf49973b0582e22ff733c2c735cc01ed4ca37c7aac6e9504ed6de9698ceaf5fc

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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no resolver link, observed 2026-08-10T15:58:14.628316Z

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source=arxiv_source observed=2026-08-10T15:58:14.628316Z digest=sha256:5f3fd4d28700ca9c9f10fe02ec9cc7bf0e6a39645aeea8654786c0204459b206

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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source=arxiv_source observed=2026-08-10T15:58:14.632165Z digest=sha256:9db9a53beb618f4c94839dee84fdd831655e7635027d3ae0e13e6c99fd7684fc

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:f13e9bd33e561861425b854848e6de509a07428f34407cac68d9a2908f2a2291

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:d7af737d23aaf84c7f957ee1e3f2d2b285d140cba0cf253f49d57a71fb9162f6

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:d22401a79923ff0561c8c7a628ff3fd51ac1611a13060243a3bb2df65580b0db

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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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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source=arxiv_source observed=2026-08-10T15:58:14.651822Z digest=sha256:3ae65ec5e14da97c734a6fae910b5f402e8a0f4907ccdd6f709b414bb0cb8fc9

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=sha256:954d258b62be1bab18499b301f89a4613b9997a725a3981e3f9881d39d97cf8a

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:adfdca6ce1085eeff746bd8fb15d45f76f4199975a7ef207674499d545e89777

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.

source=arxiv_source observed=2026-08-10T15:58:14.662438Z digest=sha256:1c3e0e91072e914fab6d5247accec83f79008dce0e160cd543e5aa4e12f3d992

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=sha256:7a65de634d2054c3812d70a4d619ed51476e79c9809bb73735520f8dd4747451

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

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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=2026-08-10T15:58:14.678583Z digest=sha256:e072a6e4224743db23e24b46820f81639673420a3420148c98d1e626f0d0e0c9

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:c4ac9aa12d8fff2bf31fd7d4f33585913ff08ad1224c85473d219a2353911886

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

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source=arxiv_source observed=2026-08-10T15:58:14.685762Z digest=sha256:45c5af9cf37ec2f23c8d8342f40ed13efa06a414fdc194180c52ae43f3105593

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

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source=arxiv_source observed=2026-08-10T15:58:14.689303Z digest=sha256:d374deb5f1486894780f5ed24d4af39f8f0f40216d552d0bf6b2f8c8f183e3a1

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=sha256:5143ad512746671e92903daeb949bd58422ec6743e5bdd0e3736cbcaad9d45bc

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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verified fuzzy
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=sha256:067b15cd1cd3dd9a02fbc3dcf246fdd9f860c1e02f7a45aa40f464e89c9c80b4

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

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=2026-08-10T15:58:14.699720Z digest=sha256:b6feb99b29da91c7a7746ccec676f31a2bc2ab92d8a492f8ef804b0ae2fb75bd

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:ff4e2bf40d3a2688436dd4b94ac8fc897f45af8bc38b7b500ffb7597dc2513a8

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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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=sha256:8cd0affccefacf155307e21b1c940fd697db7f905a751138ddf10a3613766519

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=sha256:511e1ba8d6e67becdf91a7426cb2e58d627a88eb55a6ee3033cfbb7d86ff7946

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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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=sha256:58e6f8a6767a42d35840b6f5b0ef451eb84fbd06506f4c03fbfd76bcd54b1373

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=sha256:55f80029e3ec54918dcdcda861a64d21ab08f6006ff24ec716543e5c462988c5

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=sha256:6a72e203fcfa2367a4405ddbf3bb3d4f0d4ec3f6fa6fbd0fb2f5907abe59a5f8

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=sha256:13e5a243969c211021c4757fc73e6af0dba57242f051b693f5178ca09e44518e

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

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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=sha256:51dda57da14d922780bc97baa30f15f693f2ce3f974aadc2b43c2d351eee45ff

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:c38f342f8103de0ee267785f5366b005641f4cb5dbb2f6beb476dcbf18fd9c2c

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=sha256:3ad8ca17d37a071b3e0411e7dc1d095aa51f81a30d9f00bf42cea79d67412692

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:e26f9bca27a03524fd2a71bc2e0a486a34e053e8d6c67e171a5ed4da3bd4c14b

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=sha256:1e18a1ce588032512ef94de28fac5084077ed13dd92418b0cd3c951e4ff1b21c

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:bfc39fb08626775eafd9ef5ce8da45328c0dd3415cfd87114417159695fb98c6

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=sha256:33382f7ea6c1808ee19d3f14be8f01a5ebefa69632b9c787c9ae6b971cf0ff1d

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:e1270e1a9eae1a3e5f87036d989b63cbfca461919201d391ad981f94f72a48be

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:c26f51cf5cb62c0a58c4649e3efc3c2a0d6c2dc50578f4068ec192be0a440bca

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=sha256:043015426cc94e7e92e1e54f7165db4bc748de162956f610050d1e059ca9654f

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:f6c24d8bbc6d3518c467ad4c076adb0d31068edf735bdd7b58329c7a664fa185

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=sha256:09def1b58235414efd38e6ada62e1a1bed45c854d340e657022233804c9872a6

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:db7884e0c8d870bece656546d2fe2da9bb434a7680118feca8b6c74728f4a991

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:c8bdb50581444d4814e7cfd9bfd6a980ac61231374b4105ed44c246f80c97907

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:d82741a58d3c8b1466185399c84561700dac08a7c0013fd441c2febeca190992

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:ccac13f08a979f7c0e9f85c79fcb7a0974350cc77c340e6bb30fc4fc63613875

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=sha256:228cc5ec1d7e6d0979a5acde4c30b28af03c65bc495c5724a35f79a16ce138e8

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=sha256:3cf5c7264ae8d5c444870f091bae6931692f099975a8c5c6e3f224b8b69686e4

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:ed0b64df8b7b152cde7328b5aaf733dcfb5f5dc149021f286ed87a902e19d438

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=sha256:864cb2d1c7fdb9a36aeaeb28e9458f1a1e9a56dab7bda6a9efa65282b7c920ce

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=sha256:31df19b4c3ae474c0bf32eb4716d75219ee6176634092abfdfc5eb7774d2c9c5

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=sha256:244f370cf4bf926aca4cdb510fd377ff063b6f99378db90ba4ad9354a2afb608

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=sha256:5a95a303c6f2551df55e7f858d7ce32a6281759c3f59a30a4f692642ba3f17db

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:ff872e70557bbddaca4dfca70e76c5371857254a6a26f27f57ef49b4d71393af

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:b0d5c24412ba002b2ad51e14857c7a5a7130bd90e5e6c5b875c07be7dfe93126

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:f435e1aff0843af473ed5d852c6581636778d468611f9d2b7bc835cdc89c2fa1

Pith citing papers

No inbound Pith citation observations are available.