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Paper Citation Record · LEDGER

TSMixer: An All-MLP Architecture for Time Series Forecasting

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T08:31:08.898349Z digest=sha256:2b11047c91e17a6408b1609ed33f9a255f250677f9c0eac4abc92758f93b2b36

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T18:07:21.246053Z digest=sha256:fd281fbf95aa0b45fd6ed40bdd0d7c3895ca9afe2154d72c4a0f67f1fd1940fd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T23:03:45.096751Z digest=sha256:3cf85a83f44605617d49145446b47aec62d43b1f588d1174f1f9a48143623822

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T13:41:26.675038Z digest=sha256:f0929e15893e2b9f19042125daab226953c9a4658cc80f3795cdcdb91b86c128

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:59.107256Z digest=sha256:79e953a166f3be948857ed73b969a3b14849c2e1125fc8c859aaa3fb4375b34e

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:e46b777f52759b3c415211cdf346445dc7f026249ee01a76ca679a94c93ad6cc

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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no resolver link, observed 2026-08-07T00:47:52.026626Z

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source=pdf_text observed=2026-08-07T00:47:52.026626Z digest=sha256:a7ea0b01d24583bc04174e41061b842cbab04723aa741015d3254fb3a4676b11

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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source=pdf_text observed=2026-08-06T21:25:22.672473Z digest=sha256:483c251bc14d8313357132cd7407718e74f8c3e1eafe9de2d8aead3100d5919e

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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no resolver link, observed 2026-08-06T19:52:02.701611Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:02.701611Z digest=sha256:6ef1082fab252c8c0a266d079f5422e275156c2ce01e37c68151c405d30f3d69

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:dd00ae56a583585ca02dbdb31f120a9486a56db401b6a2187413ab21dab67f18

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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no resolver link, observed 2026-08-06T18:01:24.969257Z

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source=pdf_text observed=2026-08-06T18:01:24.969257Z digest=sha256:f80a7b917caca0127c9cd378d38b253938190050c5cbd4c3aa7e0f1b593555b9

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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source=pdf_text observed=2026-08-06T16:54:08.324626Z digest=sha256:228d820e571f6ccb50e2c97b21f272a7e7c29a0b496326598c69f240bdeff99d

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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source=pdf_text observed=2026-08-06T16:42:56.791873Z digest=sha256:bcf25d8f1d95e880f5b52fb011213ea14c0ff28e5d185bb64db78b5995c1717b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:14:36.465269Z digest=sha256:7c00ad9d6fd5c6f06eeace0f77628e4e93e816345ed827a70a7d80236c15d14c

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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no resolver link, observed 2026-08-06T04:33:16.141587Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:33:16.141587Z digest=sha256:0e66a16f328504b51dc37f669d274ca93b21eb1cb8e5c991e0202f2d97550c23

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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no resolver link, observed 2026-08-05T20:58:01.334939Z

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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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no resolver link, observed 2026-08-04T16:45:00.188736Z

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T16:00:42.688653Z digest=sha256:860581e7559cc3219500aac5f7c3cf37a8cef7c07803f9a460bd169f1d2aa1f0

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=sha256:36e06a2d847cfb8446af40134807ee9b6d58fee8be17551eeecf2ac598f3ec3e

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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no resolver link, observed 2026-08-03T20:11:31.158916Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:11:31.158916Z digest=sha256:0d2d28357b48bff48287312c409570ebe5a9a9bc667c079e9886183e47f04ac1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:40:03.291831Z digest=sha256:f7ee5c7544d056743451f169cf396b64b42a02cbc8eb5dc02a0af8b44adda884

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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no resolver link, observed 2026-08-02T22:41:30.477774Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:41:30.477774Z digest=sha256:923d75e5897a3f82e3e222ee8902f3c878c27bf8eb5816970e8edf429d0a017a

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T07:42:29.916098Z digest=sha256:a07394efcdfac82811ab24f7b5eb32f1c265ae3e8a5c7713d9fb64445079676b

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T23:09:03.816025Z digest=sha256:0d5a3f51780fe68e74e86a8b483b8cb5adc59c3193b5de9bf4405d873ff7ea20

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:57:08.795530Z digest=sha256:70e10ad7bf413f496a557668ba61890a03557d649370fd4a6821389bce8f264e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T05:15:56.114842Z digest=sha256:a343a67948d949624eb7b34025d3f1e36eea58df26802742d56df020c63469b8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T09:33:16.718840Z digest=sha256:a1a19e0f479fc1d93ff47305af1e47ed50ab3cf8c66172e082f49addd4ad9757

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T05:47:18.737852Z digest=sha256:9e22f2dddd294da1658e3cdbd1f844dc4d7dcd2872cfb86a686893593b578346

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-reported events for the cited work

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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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