Paper Citation Record · LEDGER

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2405.14616.

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

pith.paper-citation-record.v1
2405.14616 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:54:32.755754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:07.267907Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 662271d8-74e4-448f-9025-a10f2c9ceb76 · 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 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.936000Z

Source-reported events for the cited work

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Observation 6f2a6d4a-9f2b-44a5-820f-2ba46d6a005a · inbound

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series cites this paper.

Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T12:17:00.425118Z

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Observation 66a246a9-0a49-470b-99c8-8ba1ce372741 · 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 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:04:14.363859Z

Source-reported events for the cited work

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Observation ea9d0906-0233-4f3a-9518-f251720b41e0 · 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 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:17.362235Z

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Observation 86d95575-20cd-4df8-abdf-1e9a106632b5 · 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 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:32.755754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff84650-04ac-4d16-8ba3-3145b8d16e28 · inbound

Pre-training Time Series Models with Stock Data Customization cites this paper.

Pre-training Time Series Models with Stock Data Customization TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T23:42:39.518785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15a0743-ec2d-49b7-913f-ca8ac2d35c35 · inbound

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification cites this paper.

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:20.784354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43dbd56c-3c0e-4e5a-9d7a-aa82bfc1b14d · 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 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:31.583213Z

Source-reported events for the cited work

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Observation fa17875f-4cd7-415a-9128-1abd06f4fe84 · inbound

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting cites this paper.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:24.769483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c36fc6cd-62f4-417f-8e8e-3086edd554c8 · inbound

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting cites this paper.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:21.169455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae110e6-c1f1-467c-9a74-33618c3d5b6e · inbound

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

Time Series Forecasting Through the Lens of Dynamics TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:32:01.236519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1df290a4-afa1-497d-bbc1-6434a9f3f25e · inbound

Enhancing Fatigue Detection through Heterogeneous Multi-Source Data Integration and Cross-Domain Modality Imputation cites this paper.

Enhancing Fatigue Detection through Heterogeneous Multi-Source Data Integration and Cross-Domain Modality Imputation TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:23.127645Z

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Unavailable: canonical work link unavailable.

Observation fb2de838-95c3-4cdf-9351-4ff85fab168e · inbound

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality cites this paper.

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T10:58:02.432747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3b01e61-8f9a-4c95-ab0c-15c19b6ca1fa · inbound

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting cites this paper.

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T23:57:19.735953Z

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Observation 67608c84-d9f2-4de1-85e0-044ef5189a7b · inbound

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction cites this paper.

From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T12:35:48.536344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce66572-5bca-4a68-a3be-0e15b0b9359d · inbound

Dynamic Relational Priming Improves Transformer in Multivariate Time Series cites this paper.

Dynamic Relational Priming Improves Transformer in Multivariate Time Series TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T16:45:00.326996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ba5df5-2d08-4291-8cb9-5f34de1641a3 · inbound

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models cites this paper.

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:21:23.786710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b9c5139-96ac-4857-b6c6-b9783869912d · inbound

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting cites this paper.

DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:07.191355Z

Source-reported events for the cited work

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Observation ab6b78ef-2811-476e-a665-1fe48ecf2eb8 · inbound

CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecasting cites this paper.

CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:53:04.952538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 686af168-1f56-44fa-830b-ccae5b152458 · inbound

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models cites this paper.

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:41:17.166361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9038647e-7753-4bbe-92e1-1e9e7a98ab8e · inbound

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL cites this paper.

PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:08.634050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0f50dc0-23bc-4e12-a7f0-c30d82e34c21 · inbound

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting cites this paper.

Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:16.667360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4010411-a66b-4c20-b7e8-e23b3bca8601 · inbound

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies cites this paper.

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:26.989794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51b0225c-4b66-40d7-94a3-3c082bbb66dc · inbound

Reviving Error Correction in Modern Deep Time-Series Forecasting cites this paper.

Reviving Error Correction in Modern Deep Time-Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:29:39.707931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1d2b88a-d476-4b72-b27d-9297db27615f · inbound

CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification cites this paper.

CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:31:16.784996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2dffd1a-bfa2-4301-8421-b1417ca22624 · inbound

Stationarity-Aware Retrieval-Augmented Time Series Forecasting cites this paper.

Stationarity-Aware Retrieval-Augmented Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:26.502718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 40ed69fb-9f84-464c-9caf-49984a34d127 · inbound

CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts cites this paper.

CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:38:19.502443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f304f53-7d78-4637-988a-4bda73dc39a1 · inbound

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

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:42.685074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 318aa908-8ce7-4761-b4a2-60d8f67b0af6 · inbound

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

$\text{DT}^2$: Decision-Targeted Digital Twins TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:07.269895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5472cf81-d477-4c8d-a296-442fbad687ce · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:19:51.307266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3f8dd8f-c351-4cf8-a28c-ef86c4707538 · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:34:34.412885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9513409e-cf77-40d2-9236-ae22243d8a0f · inbound

QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting cites this paper.

QuantFlow: A Federated Mamba-Based Post-Transformer Foundation Model for Time-Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 1191

Resolution: unresolved; no resolver link, observed 2026-08-02T09:05:36.574036Z

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Unavailable: canonical work link unavailable.

Observation b0c6f19b-94e1-4de3-8f60-0617f969fdf7 · inbound

Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series cites this paper.

Multi-Scale Convolution with Optimal Transport Attention Effect on Multivariate Time Series TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T09:36:39.436015Z

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Observation f7f79445-b9b0-4d66-9069-e64221060bdf · inbound

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling cites this paper.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-01T10:29:15.474242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.