Paper Citation Record · LEDGER

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.29459.

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

pith.paper-citation-record.v1
2607.29459 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:43:41.496621Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eee887e2-6680-4f86-824d-d7f58b46a7a7 · outbound

This paper cites Attention is all you need[J].

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Attention is all you need[J]

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:38.271412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80fb874e-35fb-45c8-a8cb-0e24918adbbd · outbound

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

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:38.437416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b206e700-6254-4199-b361-7bef1260fad9 · outbound

This paper cites Recurrent neural net- works for time series forecasting: Current status and future directions,.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Recurrent neural net- works for time series forecasting: Current status and future directions,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:38.596633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ba1b5e-152c-4374-a0b0-5374a6122b86 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:38.751614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2599fb45-9037-4472-8eca-58276f65ccfd · outbound

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

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:38.900217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430c357e-2fec-46c6-b93b-0c91e2cbdb41 · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.045803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e109b363-85fd-45bd-9727-bd320c555686 · outbound

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

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.203983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00986e38-8397-4ad1-9d38-1d1c44e72ce3 · outbound

This paper cites ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.353473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6518d81a-eed6-4b2e-80ed-2db8a0e4dd32 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting[C]//Proceedings of the AAAI conference on artificial intelligence.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Informer: Beyond efficient transformer for long sequence time-series forecasting[C]//Proceedings of the AAAI conference on artificial intelligence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.509528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20d22940-8994-4b30-a585-6475070af5c1 · outbound

This paper cites Are transformers effective for time series forecasting?[C]//Proceedings of the AAAI conference on artificial intelligence.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Are transformers effective for time series forecasting?[C]//Proceedings of the AAAI conference on artificial intelligence

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.663083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07b9e1b-8759-419f-afe6-6321d7368e76 · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting[C]//The eleventh international conference on learning representations.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting[C]//The eleventh international conference on learning representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.802077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17bff4a2-ac26-482c-95ae-98136e853a8b · outbound

This paper cites Fedformer: Frequency enhanced de- composed transformer for long-term series forecasting[C]//International conference on machine learning.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Fedformer: Frequency enhanced de- composed transformer for long-term series forecasting[C]//International conference on machine learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:39.939865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47bb4ea6-4754-42a4-8f8f-6fc7b24f6358 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:40.085953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee699e8a-4380-400e-a3d4-a2d9e659d6d8 · outbound

This paper cites Reversible instance normalization for ac- curate time-series forecasting against distribution shift[C]//International conference on learning representations.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Reversible instance normalization for ac- curate time-series forecasting against distribution shift[C]//International conference on learning representations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:40.244501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf3b90d-06ff-48f5-8069-19b6c92ee7ef · outbound

This paper cites Duet: Dual clustering enhanced multivariate time series forecasting[C]//Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Duet: Dual clustering enhanced multivariate time series forecasting[C]//Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:40.989031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9af5d6be-6bb6-4e8d-9bc1-5f27b49c19ff · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Categorical Reparameterization with Gumbel-Softmax

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:41.341602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66804aad-5f09-4631-b82f-28ea4ab1958b · outbound

This paper cites Spatio-temporal graph neural networks for predictive learning in urban computing: A survey[J].

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion Spatio-temporal graph neural networks for predictive learning in urban computing: A survey[J]

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T06:43:41.496621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.