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Paper Citation Record · LEDGER

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2207.01186.

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

pith.paper-citation-record.v1
2207.01186 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:00.435403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:36:25.760076Z

Reference resolution

0 of 0 outbound references displayed

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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 800d463f-99bf-4128-954d-1500f9e7841c · inbound

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models cites this paper.

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 124

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arxiv_id, observed 2026-05-16T16:03:17.107893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6aa2168-c99f-4e1e-a568-9eab2023290c · 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 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 13

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arxiv_id, observed 2026-05-22T15:21:45.112970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dd66ffb6-23ba-4dee-ae77-87c1f1b83cb3 · inbound

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

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 107

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Unavailable: canonical work link unavailable.

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Observation d63d10b0-8585-4d2e-b9fc-9a7673f46dfa · inbound

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations cites this paper.

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 29

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no resolver link, observed 2026-08-07T14:25:03.933739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3013d558-33ec-4939-954a-a22328d0d7b8 · 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 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 28

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no resolver link, observed 2026-08-07T13:54:31.174866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:54:31.174866Z digest=sha256:507eba974174f868dc645e578bf7e8801d2a519b9a61f149dac4f344ffd1ae54

Observation ad6f183c-e0cc-4e63-a71c-f4d538439a19 · inbound

UDuo: Universal Dual Optimization Framework for Online Matching cites this paper.

UDuo: Universal Dual Optimization Framework for Online Matching Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 11

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no resolver link, observed 2026-08-07T13:14:43.146803Z

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Unavailable: canonical work link unavailable.

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Observation 7f389499-28b8-4783-bc8b-207f6c5bcc9c · inbound

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? cites this paper.

From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 60

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no resolver link, observed 2026-08-07T12:44:14.668667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e04aac1-aacc-44e9-bf43-df527b38d37f · inbound

FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting cites this paper.

FaCTR: Factorized Channel-Temporal Representation Transformers for Efficient Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 27

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no resolver link, observed 2026-08-07T10:21:08.568202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9677c82f-e683-4df3-ad1b-0e15eedd8c56 · inbound

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

TFKAN: Time-Frequency KAN for Long-Term Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 27

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no resolver link, observed 2026-08-07T00:47:51.979777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8b1f90a3-d114-4e10-83c7-d6c742fd3493 · 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 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 131

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no resolver link, observed 2026-08-06T21:29:09.154172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d8bd6703-d5af-45ff-a9b8-1de243825491 · 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 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 56

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unresolved
no resolver link, observed 2026-08-06T18:01:28.269078Z

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Unavailable: canonical work link unavailable.

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Observation 841244ac-2422-4033-9e1d-220723b8f1be · inbound

PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers cites this paper.

PRISM: Lightweight Multivariate Time-Series Classification through Symmetric Multi-Resolution Convolutional Layers Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 4

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verified exact
arxiv_id, observed 2026-05-19T00:26:56.198360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 825b9886-1b68-48df-a3a0-e3a8befa4cbe · inbound

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting cites this paper.

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 61

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Unavailable: canonical work link unavailable.

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Observation 4c6de13d-07f9-427c-83f7-3f04b83c27dd · 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 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 2023

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no resolver link, observed 2026-08-03T22:36:43.099191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f677756-1a98-4f24-ae8a-21e6491c4f80 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 28

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verified exact
arxiv_id, observed 2026-05-17T04:39:03.427813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d384f244-ad69-4cd3-9377-b06388aae4e4 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 28

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verified exact
arxiv_id, observed 2026-05-21T18:20:29.104144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d55b52af-0221-456f-94e5-a2dc7743f4d1 · inbound

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis cites this paper.

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 28

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Unavailable: canonical work link unavailable.

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Observation abe901eb-4778-4f94-bd44-a1383a6b1ddf · inbound

MambaSL: Exploring Single-Layer Mamba for Time Series Classification cites this paper.

MambaSL: Exploring Single-Layer Mamba for Time Series Classification Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 17

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arxiv_id, observed 2026-05-10T11:30:18.672019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6605d21a-4c60-42ff-96a7-e387f8c37505 · inbound

Feature Anchors for Time-Series Sensor-Based Human Activity Recognition cites this paper.

Feature Anchors for Time-Series Sensor-Based Human Activity Recognition Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 50

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arxiv_id, observed 2026-05-11T23:56:13.557789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0bfcec2-b119-449e-b449-7c0f7cac8a8d · inbound

PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows cites this paper.

PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 26

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verified exact
arxiv_id, observed 2026-05-25T05:20:24.943326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b19032be-7d64-4f63-b660-5619dbfb6233 · inbound

Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting cites this paper.

Beyond Holistic Models: Systematic Component-level Benchmarking of Deep Multivariate Time-Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 70

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arxiv_id, observed 2026-06-29T19:13:52.646783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9754c359-fbb4-4157-acb0-3e26508dc94e · inbound

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 60

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arxiv_id, observed 2026-07-02T01:36:25.761874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cf46e019-f8bc-44ea-9a93-0e5bc48d0463 · inbound

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 60

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Unavailable: canonical work link unavailable.

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Observation 3f586564-1fa3-482a-a411-37802a1005f6 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 153

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no resolver link, observed 2026-07-12T01:22:51.284207Z

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Unavailable: canonical work link unavailable.

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Observation 53afc1a3-05c3-4bc8-a469-e635cee06aa1 · inbound

Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting cites this paper.

Beyond Magnitude and Shape: A Direction-Aware Loss for Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 2022

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no resolver link, observed 2026-08-04T19:31:41.808372Z

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Unavailable: canonical work link unavailable.

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