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Paper Citation Record · LEDGER

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.05284.

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

pith.paper-citation-record.v1
2507.05284 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:10:41.140360Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

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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

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2d1ae0d-e929-4e1c-937e-a7dbbf675f37 · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Interpretable weather forecasting for worldwide stations with a unified deep model,

Reference 1

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Observation 74ddda0f-8708-4400-8755-70ca890c3e33 · outbound

This paper cites Skilful nowcasting of extreme precipitation with nowcastnet,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Skilful nowcasting of extreme precipitation with nowcastnet,

Reference 2

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Observation d022e2b3-1500-46e6-960f-89dfadd2b8cf · outbound

This paper cites Forecasting day- ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Forecasting day- ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark,

Reference 3

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Observation 9588fc67-bc65-4f8b-a628-827c9a53e104 · outbound

This paper cites Electricity price forecasting: A review of the state-of-the-art with a look into the future,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Electricity price forecasting: A review of the state-of-the-art with a look into the future,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6a52d632-9bd1-4d2a-8256-1030f34b0601 · outbound

This paper cites Financial Time Series Forecasting using CNN and Transformer.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Financial Time Series Forecasting using CNN and Transformer

Reference 5

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Observation 2a805d0e-5bc0-48eb-8863-d6d70cde005a · outbound

This paper cites Traffic flow prediction with big data: A deep learning approach,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Traffic flow prediction with big data: A deep learning approach,

Reference 6

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Observation 750c825a-34fc-4124-9fb1-b1162691b658 · outbound

This paper cites Comparison of sarimax, sarima, modified sarima and ann-based models for short-term pv generation forecasting,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Comparison of sarimax, sarima, modified sarima and ann-based models for short-term pv generation forecasting,

Reference 7

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Source-reported events for the cited work

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Observation c9e670da-8974-4676-992a-24a9318819d1 · outbound

This paper cites Timexer: Empowering transformers for time series forecasting with exogenous variables,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Timexer: Empowering transformers for time series forecasting with exogenous variables,

Reference 8

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Source-reported events for the cited work

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Observation 22ac5460-034d-4671-b009-f798838343b5 · outbound

This paper cites Multivariate vehicular traffic flow prediction: evalua- tion of arimax modeling,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Multivariate vehicular traffic flow prediction: evalua- tion of arimax modeling,

Reference 9

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Source-reported events for the cited work

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Observation 500bd26e-d19e-497f-ab0a-642700dfcece · outbound

This paper cites Long-term Forecasting with TiDE: Time-series Dense Encoder.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 10

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Observation 842cef72-924f-4752-84a0-dcc361fbf82a · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 11

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Observation 9e588260-f588-45cb-b440-5858594dac53 · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 7daf9321-1783-4467-bae0-ba8e4037f10e · outbound

This paper cites En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction En- hancing the locality and breaking the memory bottleneck of transformer on time series forecasting,

Reference 13

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Source-reported events for the cited work

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Observation 9dc4860a-2230-4a70-8f6d-8c9b5743254e · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 14

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Source-reported events for the cited work

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Observation 323acbc9-c149-4a0c-9a73-cb3326ace688 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Observation 578c2235-e822-4532-9b51-d51b64908887 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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Observation c6ad406f-c9a0-4e58-a668-1cd0d51597a1 · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 17

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Observation 65f28dbf-f615-474c-bc52-4913a12ca63a · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Autoformer: Decomposition transformers with Auto-Correlation for long-term series forecasting,

Reference 18

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Source-reported events for the cited work

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Observation 31f234a9-8d81-41f5-824b-cc24418560d1 · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a509e00f-b6ae-4ba0-b36e-be29a4b1a6b4 · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 20

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Source-reported events for the cited work

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Observation f1910981-bce8-49e2-86b5-528528590d94 · outbound

This paper cites Simmtm: A simple pre-training framework for masked time-series modeling,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Simmtm: A simple pre-training framework for masked time-series modeling,

Reference 21

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Source-reported events for the cited work

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Observation 6e62ea7f-84df-409e-af73-548d1dd125aa · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction A time series is worth 64 words: Long-term forecasting with transformers,

Reference 22

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Observation 538ee276-a0e4-4790-806c-180eb9199d1a · outbound

This paper cites Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with nbeatsx,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with nbeatsx,

Reference 23

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Observation 93b993ed-6569-4e43-ae2d-17b3737092c3 · outbound

This paper cites Attention is all you need,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Attention is all you need,

Reference 24

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Source-reported events for the cited work

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Observation fcf46c20-30c2-47c0-9dde-10a84037c30d · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e43ebfa3-a3fc-4af0-905f-d67d100d70da · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 26

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verified fuzzy
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Source-reported events for the cited work

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Observation 9b5cb9cf-5c60-48ec-a7e7-7d73e855729c · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Are transformers effective for time series forecasting?

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12c47086-8639-4d09-bf28-b03827b87cde · outbound

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Scinet: time series modeling and forecasting with sample convolution and interaction,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f4012e22-1795-4ba0-9c1f-9be0d0ff0b9d · outbound

This paper cites Koopa: Learning non-stationary time series dynamics with koopman predictors,.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Koopa: Learning non-stationary time series dynamics with koopman predictors,

Reference 29

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Source-reported events for the cited work

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Observation 2e2124c5-3a24-40cd-b8a8-91fe8c89d87a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction Adam: A Method for Stochastic Optimization

Reference 30

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Source-reported events for the cited work

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