Paper Citation Record · LEDGER

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2505.06917.

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

pith.paper-citation-record.v1
2505.06917 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:01.009452Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:11:04.381769Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:11:04.908653Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy15
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e7a77c3-5011-4ad4-b6d9-a0ef64ddf900 · outbound

This paper cites AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.918854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4588c23b-790c-4844-b5e8-c9988df7d80b · outbound

This paper cites Transformers in Vision: A Survey,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Transformers in Vision: A Survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.305555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73697a9f-5d0d-4a12-9bc6-a73224cf2927 · outbound

This paper cites A comparative study on transformer vs RNN in speech applications,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism A comparative study on transformer vs RNN in speech applications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.295338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15e16524-f0f5-4199-b939-6ba43e0b1345 · outbound

This paper cites Transformers in Time Series: A Survey.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Transformers in Time Series: A Survey

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.929653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a334e326-2bfb-43af-8539-9777f97a6bc0 · outbound

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

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Informer: Beyond efficient transformer for long sequence time- series forecasting,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.283548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2de7d27a-6725-4eba-ad25-ed58109e5970 · outbound

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

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.272917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 667f0340-00dd-4d48-be0b-cead3e224baf · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.262668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e05ffbd-4391-4176-b5ed-205b14f3c256 · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distri- bution shift,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Reversible instance normalization for accurate time-series forecasting against distri- bution shift,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.249715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c41fde7-2f8d-4234-bf30-580af2b1d4d7 · outbound

This paper cites Adaptive normalization for non-stationary time series forecasting: A temporal slice perspective,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Adaptive normalization for non-stationary time series forecasting: A temporal slice perspective,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.240404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85dacba5-df7d-4b32-9a36-388164b98644 · outbound

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

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Non-stationary transformers: Exploring the stationarity in time series forecasting,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.950440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23d56d1-ebbd-43f5-add1-1f9b2d4e991e · outbound

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

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Frequency Adaptive Normalization For Non-stationary Time Series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.953497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3000c9b7-6ac5-47b8-9dd1-a935a1212d3d · outbound

This paper cites Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.956838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe2eed7-d962-4dc5-8017-03726b39629e · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.960153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e081bf88-0a94-4d0e-a7ac-4621ef87ba60 · outbound

This paper cites Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.964092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d02ff15-d964-49e5-a48e-7c9ba25d6c65 · outbound

This paper cites FNet: Mixing Tokens with Fourier Transforms.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism FNet: Mixing Tokens with Fourier Transforms

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.967663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da5b6198-8d2b-4271-a96a-725c435334d5 · outbound

This paper cites T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:34:01.062216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ffb91fe-d978-4488-9f44-1d7f2e3488ef · outbound

This paper cites Adaptive wavelet transformer network for 3d shape representation learning,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Adaptive wavelet transformer network for 3d shape representation learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.225228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62151170-6777-4a73-965a-3e4dd1ed62b7 · outbound

This paper cites Ddg-da: Data distribution generation for predictable concept drift adaptation,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Ddg-da: Data distribution generation for predictable concept drift adaptation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.216499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5fdf41ad-d0e2-4304-9d71-fa7c63bc0d79 · outbound

This paper cites Adarnn: Adaptive learning and forecasting of time series,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Adarnn: Adaptive learning and forecasting of time series,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.206547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c76daff-fe45-4257-86b0-105ce7b60e29 · outbound

This paper cites From fourier to koopman: Spectral methods for long-term time series prediction,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism From fourier to koopman: Spectral methods for long-term time series prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.196629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd99e158-6ab7-4954-af3a-7bfa90ac2eca · outbound

This paper cites an unresolved cited work.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:34:01.186547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e92492b4-b770-410f-ad61-a5d89157fb08 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Fourier Neural Operator for Parametric Partial Differential Equations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:00.989966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1700f936-dc0b-4e48-b2bd-e77933cee2bf · outbound

This paper cites an unresolved cited work.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:34:01.175808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71de2206-9021-44a8-89b3-92e8a50338bf · outbound

This paper cites Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep Learning: The MIT Press, 2016, 800 pp, ISBN: 0262035618,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep Learning: The MIT Press, 2016, 800 pp, ISBN: 0262035618,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.165586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a267b32e-a98c-4d1b-8091-602eb2628ede · outbound

This paper cites Are transformers effective for time series forecasting?.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Are transformers effective for time series forecasting?

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.155440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 631b6405-c0dc-4226-86c0-3e03cd164c6f · outbound

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

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Scinet: Time series modeling and forecasting with sample convolution and interaction,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.145296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c7e8b51-ab67-4815-9661-468ee49aeb56 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Adam: A Method for Stochastic Optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:01.005945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621aff9e-61af-4b34-8723-848582036c13 · outbound

This paper cites Dish-ts: A general paradigm for alleviating distribution shift in time series forecast- ing,.

Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism Dish-ts: A general paradigm for alleviating distribution shift in time series forecast- ing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:01.135255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 021d5cd4-3333-4805-b6f8-3e24f5bf1ea2 · inbound

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection cites this paper.

Graph-Based Uncertainty Modeling and Multimodal Fusion for Salient Object Detection Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:11:04.913982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.