Paper Citation Record · LEDGER

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 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 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:17.676416Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

49
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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 2026-08-14T06:32:32.682623+00:00.

Observation 43f5d9a4-d492-4914-aebd-b512fab41da4 · inbound

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing cites this paper.

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:17.676416Z

Source-reported events for the cited work

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Observation 31fa1aa2-b41e-41c1-95d4-85d8e7d2a6cc · inbound

WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models cites this paper.

WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 2023

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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 2026-08-14T06:32:32.682623+00:00.

Observation eca44d66-8798-4a57-8064-f1ee91b343ac · inbound

Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting cites this paper.

Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:10:19.594337Z

Source-reported events for the cited work

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Observation 17c8fef7-94d6-40ac-b1f4-b796117cf4e6 · inbound

Using Causality for Enhanced Prediction of Web Traffic Time Series cites this paper.

Using Causality for Enhanced Prediction of Web Traffic Time Series TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T18:23:52.551218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb829cbb-79c1-4af6-9eb4-27d6e8f30c66 · inbound

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:58.082771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d06b1d-cee6-478b-8056-31629dd5791c · inbound

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model cites this paper.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:09.368587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e460b09-7d85-49d3-a6b8-d779d44aa2b3 · inbound

Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting cites this paper.

Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:58.905036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c07f34d3-fa70-4227-af1c-70b543a73c5b · inbound

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting cites this paper.

A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:14.472681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

Observation 5320d5ed-f703-4d72-8b26-30e9def32583 · 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 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:17.370268Z

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Observation 13486d8b-6a59-4242-86ae-f3d4fc4b81b4 · inbound

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks cites this paper.

Leveraging External Factors in Household-Level Electrical Consumption Forecasting using Hypernetworks TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:48.947867Z

Source-reported events for the cited work

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Observation 0932ab96-5843-473b-aa65-ca142c863c93 · inbound

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series cites this paper.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:33.012679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5bf3e1-1063-4c0d-80e8-8dcc011a014d · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:06.431213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13bcf5f8-85c5-4230-b493-b88f96aa7612 · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:35:23.638856Z

Source-reported events for the cited work

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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 2026-08-14T06:32:32.682623+00:00.

Observation 5bacad74-e681-4c60-b47d-01037c542e60 · inbound

Camel: Energy-Aware LLM Inference on Resource-Constrained Devices cites this paper.

Camel: Energy-Aware LLM Inference on Resource-Constrained Devices TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T23:47:15.708209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34851c08-f301-4719-a3f6-2f71ae62ca36 · inbound

Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety cites this paper.

Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:22.498432Z

Source-reported events for the cited work

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Observation 2310bee8-4c9d-44a1-885b-557d38278e94 · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:03.761296Z

Source-reported events for the cited work

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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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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

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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

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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

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Observation 484ec2f2-e38b-4460-a671-aea46f35805c · inbound

TS-RAG: Retrieval Augmented Generation for Time Series Forecasting cites this paper.

TS-RAG: Retrieval Augmented Generation for Time Series Forecasting TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Reference 26

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Source-reported events for the cited work

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