Paper Citation Record · LEDGER

Long-term Forecasting with TiDE: Time-series Dense Encoder

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2304.08424.

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

pith.paper-citation-record.v1
2304.08424 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:17:50.234399Z

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

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External citation measurements

160
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 28505d0e-462f-4500-a187-2d03e2f8fbc1 · inbound

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

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:54:58.785976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8560e9d9-1c34-4499-80d9-f25c199405ee · inbound

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

Deep Time Series Models: A Comprehensive Survey and Benchmark Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:05:51.552811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee6ef869-4047-41a7-8c41-8aba44875028 · inbound

Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.

Sundial: A Family of Highly Capable Time Series Foundation Models Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.835688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec7527ed-fe40-486e-98a6-0aa30539e347 · inbound

Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types cites this paper.

Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T20:17:50.234399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9884714d-9416-42b6-9e68-44d5f59eecca · inbound

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting cites this paper.

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T15:21:45.102215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b5b516b-f8e8-4761-9ff5-0a514fe4ab76 · inbound

TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state cites this paper.

TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.080380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb7e299-d981-4447-a715-79429709ef60 · inbound

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables cites this paper.

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:57:48.513926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f8e4095-7229-44e9-aa61-38d42e845187 · inbound

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model cites this paper.

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:24.983056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d037982-ddf1-4d16-872b-af6e131a4f5b · inbound

Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics cites this paper.

Delayformer: spatiotemporal transformation for predicting high-dimensional dynamics Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:09:33.047595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cafe611d-900d-4fa1-8e27-1a34e52eaa20 · inbound

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting cites this paper.

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:47:51.983607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a9f57b-6364-4cbb-8472-6c5cc81e2890 · 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 Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.582952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965b7b11-eece-4c84-b22e-5c464ee84d34 · 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 Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:28:55.063158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3890ce-8a2c-4cce-9151-94e67a6f3f28 · inbound

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting cites this paper.

DC-Mamber: A Dual Channel Prediction Model based on Mamba and Linear Transformer for Multivariate Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:02.713135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Temporal Window Smoothing of Exogenous Variables for Improved Time Series Prediction cites this paper.

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.

Observation 77b2277a-9d61-4806-83f8-99d09d1776c1 · inbound

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching cites this paper.

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:27.512082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce2bffb-043a-438f-b519-d2e066a6f176 · inbound

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process cites this paper.

Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:01.214106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8badef-b685-44ab-aedc-93625e9d6e5c · inbound

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction cites this paper.

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T16:43:00.103622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d62271d-c867-4da9-9035-4e22b10f87ec · inbound

Time Series Forecasting Through the Lens of Dynamics cites this paper.

Time Series Forecasting Through the Lens of Dynamics Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:32:00.966573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a4e1f38-af21-41f8-b01f-00af37736270 · inbound

N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting cites this paper.

N-BEATS-MOE: N-BEATS with a Mixture-of-Experts Layer for Heterogeneous Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:09:32.570500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aeda978-3d48-4519-bc54-84ba3180c33b · inbound

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables cites this paper.

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:31:33.389067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 090342d2-a75d-4f8f-b15d-441862209203 · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:51:23.403258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e18e79a9-8e87-4ec5-bf3f-fef565c73d63 · inbound

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion cites this paper.

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T17:44:44.621866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f99e5c-773f-4684-aebe-2ca994ae2f77 · inbound

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration cites this paper.

UniMamba: A Unified Spatial-Temporal Modeling Framework with State-Space and Attention Integration Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:51:08.451554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a75934ef-8315-40b2-b4cd-e58fae3ce67a · inbound

GeoCert: Certified Geometric AI for Reliable Forecasting cites this paper.

GeoCert: Certified Geometric AI for Reliable Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:13.891657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c93f3385-5488-45e7-84b2-61d92e933211 · inbound

Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting cites this paper.

Three-Stage Learning Unlocks Strong Performance in Simple Models for Long-Term Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:12:50.793448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5298b8d6-a273-4736-bbd8-96077bf63b0c · inbound

An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making cites this paper.

An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:03:47.120255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be99a3a9-009e-40e2-b05a-ae28af39054e · inbound

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics cites this paper.

Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:19:46.957551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c814980d-3900-4b7a-89ef-6cfe6e1e581d · inbound

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting cites this paper.

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.412505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6f6435d-648b-40c2-aae3-6b4d84364c8f · inbound

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting cites this paper.

Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:07:37.204995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f7062805-f6a3-4a57-bb6c-9cac1e628117 · 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 Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:37.804946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86204bd3-ab7f-43ca-8f53-d429b5d9a264 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 150

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.632748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0fddd85-1249-4ae2-ad6b-2765efdf5184 · inbound

How Good Can Linear Models Be for Time-Series Forecasting? cites this paper.

How Good Can Linear Models Be for Time-Series Forecasting? Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:51.314718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4ae3dd4-cf00-49e8-8cd3-ab55d9af9b63 · inbound

How Good Can Linear Models Be for Time-Series Forecasting? cites this paper.

How Good Can Linear Models Be for Time-Series Forecasting? Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.436386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4d4b131-1ed5-4ae7-93b3-f644bfb74c31 · inbound

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

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.356884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bee74e36-45f6-4427-8f05-9dfe21c912a4 · inbound

Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence cites this paper.

Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T08:28:36.712581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87e6eab4-72ab-4b88-9fa8-a6887c715cac · 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 Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af422228-a726-4c72-8a6b-52343edce0bd · inbound

On-Device Adaptive Battery Power Prediction for Electric Vehicles cites this paper.

On-Device Adaptive Battery Power Prediction for Electric Vehicles Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T03:18:04.504155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aac74bcd-c9a1-4899-9977-75814810be2a · inbound

A Predict-then-Correct Loop Based on Few-Shot Continuous Contextual Bandit for Demand Forecasting cites this paper.

A Predict-then-Correct Loop Based on Few-Shot Continuous Contextual Bandit for Demand Forecasting Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T22:31:02.119639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91b187b0-b49d-4de7-9bb7-b9245122ccb8 · inbound

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing cites this paper.

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-01T15:54:02.094637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion cites this paper.

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 d9e92674-20ba-4e04-b8d4-e4e2c4fc5108 · inbound

Variable-Horizon Workforce Demand Forecasting with an Aggregate Demand Constraint for Construction Workforce Planning cites this paper.

Variable-Horizon Workforce Demand Forecasting with an Aggregate Demand Constraint for Construction Workforce Planning Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T11:05:58.464959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac228e1-58ec-4a26-88d2-18e9179da5f0 · inbound

Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining cites this paper.

Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining Long-term Forecasting with TiDE: Time-series Dense Encoder

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T05:43:26.668350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.