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Paper Citation Record · LEDGER

ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2202.01381.

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

pith.paper-citation-record.v1
2202.01381 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 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 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:44:59.018139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:24:26.588097Z

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Outbound references

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Pith citing papers

Observation de285d04-363c-4b87-838a-044f0642c006 · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 24

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arxiv_id, observed 2026-05-24T08:34:11.892147Z

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 eebc9089-1c4e-4257-9fc7-175817ce30c2 · inbound

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

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 116

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arxiv_id, observed 2026-05-16T16:03:17.075659Z

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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 75c9fe32-5b6d-43f6-9a83-da1e1e464880 · inbound

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model cites this paper.

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 18

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arxiv_id, observed 2026-05-23T22:05:50.344142Z

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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 d73e9a26-5ff5-414f-9ccb-152f8763ee3b · inbound

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting cites this paper.

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 8bdb48c0-2bf7-4284-b11b-b3afcdb6476b · 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? ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 51

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no resolver link, observed 2026-08-07T12:44:13.603771Z

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Observation a37b9975-4670-4bbd-96db-6b03ba039c97 · inbound

MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting cites this paper.

MetaEformer: Unveiling and Leveraging Meta-patterns for Complex and Dynamic Systems Load Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 36

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no resolver link, observed 2026-08-07T00:48:47.610099Z

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Observation e202c83a-9e3b-4883-b6db-9d07a7e10cd1 · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 113

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no resolver link, observed 2026-08-06T21:29:06.814247Z

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Unavailable: canonical work link unavailable.

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Observation 833c92ae-4021-4d11-9a12-39fd9892015f · inbound

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting cites this paper.

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 25

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Observation c670dfc9-c578-45f4-8638-c728f6083b33 · inbound

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? cites this paper.

Scaling Transformers for Time Series Forecasting: Do Pretrained Large Models Outperform Small-Scale Alternatives? ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 35

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Observation 47a38736-eba4-4652-90ff-e109334792ae · inbound

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services cites this paper.

Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 50

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Observation 3ecbc1ff-71a1-4661-852b-7e15014607bd · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 2022

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Observation 221e47e7-d658-4486-be09-4212fdac83f7 · inbound

Frequency-Constrained Learning for Long-Term Forecasting cites this paper.

Frequency-Constrained Learning for Long-Term Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 28

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no resolver link, observed 2026-08-06T05:39:42.032231Z

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Unavailable: canonical work link unavailable.

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Observation 7397f770-189e-4658-b95a-0b82450ac843 · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 7f9be505-1504-41a5-a142-08cbba0ecd95 · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 12

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Observation f627d7d3-46f9-4dc7-bf6e-ac526b8d8441 · inbound

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN cites this paper.

Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 0242bd78-a711-44a3-9c9e-70ceabc16ff3 · inbound

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting cites this paper.

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 21

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arxiv_id, observed 2026-05-17T23:10:26.113355Z

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 e6b0eef2-fedf-4f25-8d3f-260b718ebe22 · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 6

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Observation 6d9b2ff8-85e9-4b95-a5b2-bdf633dffbee · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 44

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arxiv_id, observed 2026-05-17T04:39:03.389708Z

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 7c9b1bda-8fe1-41d7-a4f9-a38c3720d9a7 · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 44

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arxiv_id, observed 2026-05-21T18:20:29.058050Z

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 b5a0dd41-9a8d-4f6c-99b0-11eb81f7f961 · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 44

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Observation 730d0d90-5b94-4f71-91bf-48635452cb57 · inbound

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G cites this paper.

LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 5

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Observation 2fee7248-1fe8-438b-bf42-d18d3e8897e4 · inbound

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

MambaSL: Exploring Single-Layer Mamba for Time Series Classification ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 16

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arxiv_id, observed 2026-05-10T11:30:18.679590Z

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Observation 101e5855-1228-4ef9-a87b-e4bdf1c751d6 · inbound

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather cites this paper.

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 19

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arxiv_id, observed 2026-05-11T21:11:17.539240Z

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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 e0dac795-ccdb-4766-9598-8179c8b00ab3 · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 27

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arxiv_id, observed 2026-05-12T09:26:25.927303Z

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 a354a53e-10bb-42a2-84df-25d58fe1612c · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 22

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arxiv_id, observed 2026-05-25T05:20:24.956884Z

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 6c744b6f-6d73-4b84-a404-9fc2cbfb657e · 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 ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 61

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arxiv_id, observed 2026-06-29T19:13:52.643701Z

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 aa663d9a-ebd3-4bdd-a216-b55a88895a8f · inbound

Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction cites this paper.

Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 18

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arxiv_id, observed 2026-06-30T08:24:26.589940Z

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 c2f862ea-d8eb-4904-b06c-8bf2ab13b19a · inbound

A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations cites this paper.

A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 13

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