Pith. sign in

Paper Citation Record · LEDGER

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction

As of 20 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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.451041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.057280Z digest=sha256:2087dd0510e47e8f7adce0feea2b69e65ecd09d8fff42c89929fa5f1b4b54d89

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.442139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.060736Z digest=sha256:0a5d634d9a6119a153efbe50b2acdbb92c78ca6c0291b0feb51fbcd4b3b47cdc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.432079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.063846Z digest=sha256:ba78b7c8163f9cd5bdacea0065576384e0402d0f36602c294bf0fb2bc3994f7d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.423038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.067584Z digest=sha256:b9256bb0e7eb03b1ba05c5a03b6b9562814bdf00b3725104639ac2dd82616bc1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.070644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.070644Z digest=sha256:fd6cb6dd485a55bf07ef2998b84a0b66ee308d9941130fd5587a3099d38c3ec0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.412527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.073661Z digest=sha256:8938598dc2011b835ce376763a912d0dc0419ab2cd291283402bc3758c3f19f7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.389029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.076753Z digest=sha256:b352a6be3cd00e21e3580c6a241d9b7c44bf71f61ed1e8aa10b77a0b63c6ddec

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.378419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.079439Z digest=sha256:c997139c4f38e3f4b2c6c7ce73fdbacd2da4677464e41eb9c43e71bd7da86d40

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.368330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.082067Z digest=sha256:7cb8efe7dbd7da32054b9cfa9e5d45e7bf6e817d6f5f8e28a93b1de45b29d7da

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.084384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.084384Z digest=sha256:b6c88a80619bd52e309ec2ceafe366b736b81371533308604668aee084dcfe4a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.087518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.087518Z digest=sha256:8a69be24a4325ccc6c0e8266f2fe3c8e01ef3d67bcd7a051de94c3b35a89cd22

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
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.358343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.090567Z digest=sha256:46cbac7227b454ab7cd02d6f83533cfc14da68438c1c144b9410877b5b331206

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.348356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.092834Z digest=sha256:e4ca529b24a4f2faa5e0b0cf1e3456a84775dfbee6df1cb164358288f91d6f27

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.338216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.095528Z digest=sha256:2596fc4a7740c5b2a07d5d2e83bc48ee53f3e0104b02b47e11c969ad08dea140

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.097930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.097930Z digest=sha256:283341ced76943d57f03cfae292d01977d1f447221feb3a2fae6f70b062d82f6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.100692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.100692Z digest=sha256:05abc75bd5cdf0b50662a37664b724c56ddfe121d41d7105d75c164173c30b8a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.104023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.104023Z digest=sha256:7d7548f9c871499ce3595f0d9c433ef1030868312c9c66c753648fac4d036435

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.321476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.106742Z digest=sha256:4c7ca1c4bf5248f4dc7fe8f5b379d6df78ca6f8226300214c967b3e4dcd478ba

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.310772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.109696Z digest=sha256:16f8f6a37b9b6b1caa0a205ab5c2175fd3aa5ecb0193f3b772c24a83a9092a20

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.300840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.112509Z digest=sha256:e5895b199d8df7bb4c84da7b3562c3c2e584c4be6a07bab883a85e10aa99210c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.291537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.115216Z digest=sha256:081a5e2af07acca88b00430482969b3335e888b6163f4f50c7edb0602629735a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.283048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.118104Z digest=sha256:c1c55f19405b10fabc3c1da6cfc92fdb16483c55c75508f88297a46a79e161a0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.272548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.120732Z digest=sha256:866d2d5fa94aaaf8d302fa9f8b66881ceb7633cfd5eefeb46b433de149f4aa96

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.123636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.123636Z digest=sha256:01616abf67b0b750bbaf582535a266c45873eb1dc148a0c4bdf9d61e2c0b28d2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.126185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.126185Z digest=sha256:3caf9f6fbef4951bc48710c0b25c7063c30fab2356a314ac088e8c23e4be7deb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.255243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.128897Z digest=sha256:fc7fbca29a5ef0b7f4de916e32e253c11f685e07d7881ebbd75aec142fe28336

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.246075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.131685Z digest=sha256:911a57f22d460142db844472b8c5df625ddb0e34e189a514b5dd9a91b302408d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.237474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.134752Z digest=sha256:0d5d66023f09c814a30bd227c52efdcc68a25752fccc5e40d4d41f5c25fc7fee

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:10:41.227747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:10:41.137889Z digest=sha256:5e5959d7de216145f85270ce31fe0c154b4bed13ef1facbe10a012603712199d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:41.140360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:41.140360Z digest=sha256:d8c6264648e0f5c9beb88361e8e99a6c4ab5793ce325423e73ea5ea037ec5fb5

Pith citing papers

No inbound Pith citation observations are available.