Paper Citation Record · LEDGER

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.19072.

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

pith.paper-citation-record.v1
2402.19072 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:44:19.882360Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7b2a693e-bfef-4f3e-b650-16469b5516c5 · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 159

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:05:51.469551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 84e77e23-53cc-4d66-bdb4-42f19641cb5e · inbound

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting cites this paper.

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:32:43.231088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62ea58b3-0daa-482c-807d-805c06d2b737 · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:22:14.213829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dab21bc-8746-4356-a752-75495af0855c · inbound

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images cites this paper.

Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:11:57.354884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9dd6b408-54c1-4294-a7d7-b98ebfd0bf33 · inbound

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data cites this paper.

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:37.823250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d6fc8f1-ec01-46ae-80a9-e92df0e5a2f6 · inbound

Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding cites this paper.

Physics-Guided Spatiotemporal State Space Modeling for Lookahead Molten Pool Segmentation in Laser Wire-Feed Welding TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:19:16.146561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12571beb-d528-497f-8cda-fed44ab0f258 · inbound

$\text{DT}^2$: Decision-Targeted Digital Twins cites this paper.

$\text{DT}^2$: Decision-Targeted Digital Twins TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:30:07.281820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6cfe8a0f-a115-4d4d-82ef-e96656117c3f · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.285639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45e6053b-0a61-45a8-83b2-be4ca5823f02 · inbound

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates cites this paper.

Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T19:41:55.651993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f363eee-be12-448b-a55c-f9e4362dae35 · inbound

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion cites this paper.

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:19.882360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 962be7cc-6ddd-4711-8b6d-17ec74fc3209 · inbound

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting cites this paper.

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:16:39.252577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.