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Paper Citation Record · LEDGER

TSMixer: An All-MLP Architecture for Time Series Forecasting

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2303.06053.

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

pith.paper-citation-record.v1
2303.06053 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:59.107256Z

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

122
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 b5e8a7da-58d0-4d74-a1a3-296c3c5273ab · inbound

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping cites this paper.

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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arxiv_id, observed 2026-05-24T08:34:11.877283Z

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.

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Observation 2ea59cf9-6491-4699-b036-233628fe7556 · inbound

A decoder-only foundation model for time-series forecasting cites this paper.

A decoder-only foundation model for time-series forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 3

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arxiv_id, observed 2026-05-16T18:07:21.272001Z

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

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Observation 5593e975-0c74-4566-9b85-17362cacb14d · inbound

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

Deep Time Series Models: A Comprehensive Survey and Benchmark TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 96

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arxiv_id, observed 2026-05-23T23:05:51.489070Z

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

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Observation 67e57592-4f10-48b3-a77d-633235bec11b · inbound

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting cites this paper.

FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 28

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arxiv_id, observed 2026-05-22T13:41:36.157975Z

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.

source=pdf_text observed=2026-05-22T13:41:26.675038Z digest=sha256:bcb7a1381c05d925ba4f71bb7f9c76fe0ca447e4d65594bd3501e653e80ae51a

Observation 9f9f4a5b-a5be-4ed6-a79a-391ea5f77e07 · 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 TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 2009

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no resolver link, observed 2026-08-07T12:16:59.107256Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:16:59.107256Z digest=sha256:cb272d5ba2b5d79fb3f1f1fa3fbdcea54043facaf7ba2c60e76511c35ff59ec2

Observation 6f63de68-2003-4aff-b604-1df42af538dd · inbound

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling cites this paper.

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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no resolver link, observed 2026-08-07T05:29:03.484104Z

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source=pdf_text observed=2026-08-07T05:29:03.484104Z digest=sha256:c78e0ff8ddf4a742b6217b687fe8f1a9ce87dfac5adb1c625b7971d8dd1822e2

Observation 8df96d46-ea34-46fd-b0bb-1575bf94c16a · inbound

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

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 41

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source=pdf_text observed=2026-08-07T00:47:52.026626Z digest=sha256:bb1ef94bcb5f926f5cbf074218f2bb41fc935e2d2bc1d345b57d0410ddbc3e93

Observation 03452e7f-8d0f-44d8-af65-471a0595618e · inbound

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services cites this paper.

Evaluation of a Foundational Model and Stochastic Models for Forecasting Sporadic or Spiky Production Outages of High-Performance Machine Learning Services TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 67

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Observation 81021648-e7e1-4f2c-8142-3a1593fdec57 · 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 TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 32

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Observation 2150dc04-31ca-40a9-9748-bd3f458e3812 · inbound

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism cites this paper.

Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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source=pdf_text observed=2026-08-06T19:26:46.553377Z digest=sha256:8dec06cef33ce0b7bee525a75e31719d4a51fdbc66f80798cef3b7cd65b53832

Observation 3a526238-4d2b-4ba5-9a82-0b4632d95471 · 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 TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 19

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source=pdf_text observed=2026-08-06T18:01:24.969257Z digest=sha256:137bb47ca8c24b0e3bcfaaf0bb1f911895473ff015dbf0abfc00f9b6c8ef2ef8

Observation ca4623f6-98ac-471c-9186-cbac5cfc7eba · inbound

Causality analysis of electricity market liberalization on electricity price using novel Machine Learning methods cites this paper.

Causality analysis of electricity market liberalization on electricity price using novel Machine Learning methods TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 9

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Observation 579f4e3e-c4ce-4956-a0ed-0fb3d9799c3d · 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 TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 13

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Observation 750dd503-b963-48fc-bbd2-87684b5120a5 · inbound

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion cites this paper.

Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 40

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Observation fd11e854-4d90-4a35-9905-93e50512c727 · inbound

User Trajectory Prediction Unifying Global and Local Temporal Information cites this paper.

User Trajectory Prediction Unifying Global and Local Temporal Information TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 36

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no resolver link, observed 2026-08-06T05:14:36.465269Z

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Observation 22b42d72-513f-42c1-b5cf-7b7b71937b1a · inbound

Agoran: An Agentic Open Marketplace for 6G RAN Automation cites this paper.

Agoran: An Agentic Open Marketplace for 6G RAN Automation TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 2023

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Observation fef925fa-58a6-47e7-ba12-431ec2406789 · inbound

TriForecaster: A Mixture of Experts Framework for Multi-Region Electric Load Forecasting with Tri-dimensional Specialization cites this paper.

TriForecaster: A Mixture of Experts Framework for Multi-Region Electric Load Forecasting with Tri-dimensional Specialization TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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Observation 5a21ea7f-2301-4098-b2c0-aeb673913b79 · inbound

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

Dynamic Relational Priming Improves Transformer in Multivariate Time Series TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 9

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Observation 29c994ac-38c5-43a6-9985-635e24d3809b · inbound

JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs cites this paper.

JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 18

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arxiv_id, observed 2026-05-18T16:01:34.523690Z

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.

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Observation c1f77b1b-f0c7-4ffc-944e-73a48633c6ef · inbound

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting cites this paper.

CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 2

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no resolver link, observed 2026-08-03T22:36:43.074456Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:36:43.074456Z digest=sha256:abeb40785bfce271e2bf79e1b25acc26f8d4786217c5f490116a892b26ebe622

Observation d793dab4-dbe8-4fff-b147-9fce547ae931 · inbound

HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting cites this paper.

HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 2009

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Observation 9b6765f9-9be6-4343-94ac-0ae5be40c686 · inbound

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting cites this paper.

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 3

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no resolver link, observed 2026-08-02T22:40:03.291831Z

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Observation 7ef1af5e-1ea3-48a4-bd6f-aafede0ba4e3 · inbound

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification cites this paper.

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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source=pdf_text observed=2026-08-02T22:41:30.477774Z digest=sha256:68926334663b6652e129902fa92d218f0755214dca61f65237f65321ac274bac

Observation bbc2e7e5-f6b1-460f-8d56-16a74979e361 · inbound

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework cites this paper.

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 29

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arxiv_id, observed 2026-05-12T09:26:25.890400Z

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

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Observation 96af2a29-650a-4e9d-86dc-cfca294d0fa7 · 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 TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 9

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arxiv_id, observed 2026-05-14T19:12:50.800298Z

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

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Observation 08c6528d-4b04-433a-a6a0-960520e60afa · inbound

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery cites this paper.

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 11

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arxiv_id, observed 2026-05-22T07:44:42.795980Z

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

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Observation 31f89dab-c0b1-446c-b193-a18bb1a55d84 · inbound

QuITE: Query-Based Irregular Time Series Embedding cites this paper.

QuITE: Query-Based Irregular Time Series Embedding TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 1

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arxiv_id, observed 2026-06-29T14:03:29.410595Z

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

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Observation 28d3136a-50d1-4307-868b-5ea0d5cc70d0 · inbound

CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction cites this paper.

CHAM-net: A Contrastive Hierarchical Adaptive Meta-network for Robust Global Methane Flux Prediction TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 15

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arxiv_id, observed 2026-06-28T23:12:46.209845Z

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

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Observation 55e90726-60ad-4302-959b-4349131fd320 · inbound

Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting cites this paper.

Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 55

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arxiv_id, observed 2026-07-04T00:49:18.897141Z

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

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Observation 56cbe21d-a3b2-4693-8877-212b449336cf · inbound

Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity cites this paper.

Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 19

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arxiv_id, observed 2026-07-04T03:29:31.293261Z

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

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Observation d2210843-d56e-48b2-b78f-7d8486bc036b · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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arxiv_id, observed 2026-07-04T13:19:51.312197Z

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

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Observation 81ae6eaf-2a53-40f1-8ab6-c075945f3e59 · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 6

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arxiv_id, observed 2026-06-30T09:34:34.427171Z

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.

source=pdf_text observed=2026-06-30T09:33:16.718840Z digest=sha256:064326f0a61421da4e692d057f58b36543360cb61b972ae50aea0e2e655e473f

Observation 5ff2cc25-b66e-42bb-b0d0-9b9fc31713f5 · inbound

CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift cites this paper.

CLOUDADV: Decision-Aligned Instance Sizing with Zero-Shot Foundation Models under Drift TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 20

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arxiv_id, observed 2026-07-01T10:15:43.958537Z

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.

source=pdf_text observed=2026-07-01T05:47:18.737852Z digest=sha256:e89a1d1593ee5d8236f4e54b94e208affdc39f5be4692ca158ff72af4128749a

Observation f0732c9b-5584-4bd8-b9f2-82717ef6f075 · inbound

GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting cites this paper.

GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 25

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source=pdf_text observed=2026-07-13T02:18:39.493876Z digest=sha256:9f0877c980e52916fe8d1881e2822b230e0ece4e738f90d18b2ac1f0f9e04e57

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

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TSMixer: An All-MLP Architecture for Time Series Forecasting

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