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Paper Citation Record · LEDGER

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 80 inbound Pith citation observations for arXiv:2210.02186.

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

pith.paper-citation-record.v1
2210.02186 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 80 of 80 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:15:46.840520Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T10:57:05.501091Z

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 f9824e37-4581-432d-9ab4-e1b984805db5 · inbound

What Causes Performance Degradation in Cross-Subject EEG Classification? cites this paper.

What Causes Performance Degradation in Cross-Subject EEG Classification? TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 42

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local_arxiv, observed 2026-05-23T19:58:23.579280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ce75b2a5-8223-4336-ad9c-45492852c73f · inbound

Sundial: A Family of Highly Capable Time Series Foundation Models cites this paper.

Sundial: A Family of Highly Capable Time Series Foundation Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 26

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local_arxiv, observed 2026-05-23T04:32:33.828729Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 28bd46fc-4af8-4939-8de5-c69832305e87 · inbound

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

Time Series Forecasting Through the Lens of Dynamics TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 39

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local_arxiv, observed 2026-05-19T03:32:01.291843Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 444c64c0-9167-40d6-b100-b63678b12718 · inbound

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 53

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local_arxiv, observed 2026-05-25T08:25:34.149095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d8f458d9-c2b3-4dc7-bd60-94713b793982 · inbound

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting cites this paper.

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 55

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local_arxiv, observed 2026-05-18T12:51:23.428934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 36dc6374-6569-47da-af0f-6b5ce454ec1a · inbound

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

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 12

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local_arxiv, observed 2026-05-18T13:21:23.791298Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 024617e6-2915-4bf1-bbb8-e9116d8de2bd · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 49

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local_arxiv, observed 2026-05-21T20:24:21.559090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e4b49df4-bd96-4f29-97ba-8b1c1f0534fb · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 49

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no resolver link, observed 2026-08-04T11:15:46.840520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 538ecc6a-c360-42a4-a2ae-875d1970c832 · inbound

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models cites this paper.

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 31

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local_arxiv, observed 2026-05-22T12:36:32.592576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c936580b-7c86-46de-afeb-147732a63aac · 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 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 22

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local_arxiv, observed 2026-05-17T23:10:26.136135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c4871a49-944d-48f6-bfd9-a4c585452d80 · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 7

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local_arxiv, observed 2026-05-17T04:39:03.375801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 27e910a5-5aed-4b53-a46b-d03e0b8f605e · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 7

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local_arxiv, observed 2026-05-21T18:20:29.092480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 66ddad95-4f09-46be-becf-9bb68613efe4 · inbound

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

MSTN: A Lightweight and Fast Model for General TimeSeries Analysis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 7

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no resolver link, observed 2026-08-03T20:16:41.616948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 479ca7ab-0713-4441-b114-36d680e8816d · inbound

Auditable Context-Aware HFMD Forecasting with Structured LLM Agents cites this paper.

Auditable Context-Aware HFMD Forecasting with Structured LLM Agents TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 25

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no resolver link, observed 2026-08-03T19:39:04.523453Z

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Unavailable: canonical work link unavailable.

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Observation 5f499ddd-b1f1-42f4-911f-a71b773c49c4 · inbound

TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation cites this paper.

TimesNet-Gen: Deep Learning-based Site Specific Strong Motion Generation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 6

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verified exact
local_arxiv, observed 2026-05-17T01:28:48.953859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 87319afa-6094-4153-be99-0cb3cfd0cfeb · inbound

Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting cites this paper.

Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

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no resolver link, observed 2026-08-03T17:56:02.325318Z

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Unavailable: canonical work link unavailable.

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Observation bd6f645a-7816-41c4-9c1b-e286f36eb1b5 · inbound

Neural CDEs as Correctors for Learned Time Series Models cites this paper.

Neural CDEs as Correctors for Learned Time Series Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 23

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local_arxiv, observed 2026-05-16T23:28:41.038307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 753627a3-0474-4bae-a2ab-86be6482567f · inbound

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models cites this paper.

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 71

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 53c7bf0d-b6ae-4cc0-8f8e-ef777c2e2cdd · inbound

From Observations to States: Latent Time Series Forecasting cites this paper.

From Observations to States: Latent Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 15

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d0d3db8d-e45e-4a0c-b9cb-8b2a463a388f · inbound

AROpt: An Optimization Method for Autoregressive Time Series Forecasting cites this paper.

AROpt: An Optimization Method for Autoregressive Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 2023

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no resolver link, observed 2026-08-04T06:16:26.798308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:16:26.798308Z digest=sha256:6c6c48e3fc742a0af9ed3ac8bb87cd126123d650760ccf925b8c060f919947a2

Observation a109e5f1-e526-4b83-88b8-ff807ab87032 · inbound

Aortic Valve Disease Screening from PPG via Physiology-Guided Self-Supervised Learning cites this paper.

Aortic Valve Disease Screening from PPG via Physiology-Guided Self-Supervised Learning TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

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no resolver link, observed 2026-08-03T04:44:19.985124Z

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Unavailable: canonical work link unavailable.

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Observation 7d2e55a2-b1b0-4591-985d-170f53a081e9 · inbound

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation cites this paper.

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation a8394fa1-3339-4adb-abbc-f0ca1078f130 · inbound

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation cites this paper.

ECoLAD: Selecting Anomaly Detectors for Automotive Deployment via Compute-Reduction Evaluation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

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no resolver link, observed 2026-07-14T23:15:54.854312Z

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Unavailable: canonical work link unavailable.

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Observation 3aa00573-c4c3-4ef4-a4d9-3d378662e0a2 · inbound

Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection cites this paper.

Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 32

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Unavailable: canonical work link unavailable.

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Observation 9758303f-7602-4512-b70d-a72e2710ceea · inbound

ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations cites this paper.

ARTA: Adversarial-Robust Multivariate Time--Series Anomaly Detection via Sparsity-Constrained Perturbations TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 35

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 2c3e8303-6a11-4a1b-9deb-d817643b3f9a · inbound

Validating Computational Markers of Depressive Behavior: Cross-Linguistic Speech-Based Depression Detection with Neurophysiological Validation cites this paper.

Validating Computational Markers of Depressive Behavior: Cross-Linguistic Speech-Based Depression Detection with Neurophysiological Validation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 50

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verified exact
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8ef6ff39-0dfc-4faf-9ade-9769319ac16c · inbound

Forecasting the first Edge Localized Mode (ELM) after LH-transition with a neural network trained on Doppler Backscattering data from DIII-D cites this paper.

Forecasting the first Edge Localized Mode (ELM) after LH-transition with a neural network trained on Doppler Backscattering data from DIII-D TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 43

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8f7b91a7-d5fa-47ce-9096-e64b34732ce1 · inbound

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation cites this paper.

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 10

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 56488013-4ee6-42e3-8c8e-612a28f5c7c8 · inbound

Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean cites this paper.

Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 78

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b1aa32dc-dd56-44a8-8291-b0a6c85008d2 · inbound

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring cites this paper.

Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 25

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation bc5eb00e-b87f-4a7d-8aeb-db9e60241156 · inbound

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning cites this paper.

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 33

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation d1e713c0-6627-4bd1-ba36-8828d4715654 · inbound

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting cites this paper.

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 43

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 29a58f69-0298-49c2-9072-fcdac798ea98 · 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 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 47

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T10:58:36.216692Z digest=sha256:c04be089842f776233ef40fb81690d52e0cf1b6291b3a8eb62f2990cd84a610f

Observation 35d771d1-5876-464f-a0ab-10afd7947400 · inbound

Federated Weather Modeling on Sensor Data cites this paper.

Federated Weather Modeling on Sensor Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 31

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arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-09T19:14:28.664878Z digest=sha256:39f86212b5e31fd095630487e4da90b7bdb8a66d1d18efd7ad84f609ba73d9bb

Observation dc721dec-a71b-4285-9974-5ef7bb6f63f5 · 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 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:20:00.793919Z digest=sha256:9ec0e34754afeba9848165d1809631150fff143408b8cef466a757228c2d4b6b

Observation 6a5b82ac-ac9e-4b05-9ff4-d3b17348ede7 · inbound

A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers cites this paper.

A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:25:53.870778Z digest=sha256:fea7483fd7c8e4c30c312409ddffce72ad219046b8bd88e1272322732d66573d

Observation 1422d31d-9c17-4019-a4ce-221b2be8abdd · inbound

Risk-Aware Safe Throughput Forecasting for Starlink Networks cites this paper.

Risk-Aware Safe Throughput Forecasting for Starlink Networks TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:12:34.625356Z digest=sha256:6a44bd2fca7171c898e3c5ada0bc792012360cda0c108b81b802bf3b312347d1

Observation 07228676-5113-49e4-8cbc-41d588efa0f7 · inbound

Learning Unified Representations of Normalcy for Time Series Anomaly Detection cites this paper.

Learning Unified Representations of Normalcy for Time Series Anomaly Detection TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:35:37.496154Z digest=sha256:d7a22ea67982f092029d5dbd48bd1dcffd13d81b51cfa4b93cb0b189df1b9dcb

Observation 4d3fb2e8-42b5-4b4a-b1ad-0d5a7d4a5650 · inbound

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions cites this paper.

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T19:09:17.286568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-15T02:12:33.135768Z digest=sha256:18f0911ec9ab5467a39cf4e535752a9a1dacf36a2705f537caacc35fade5032b

Observation b923db66-6b42-48c6-afa3-9f53de8b39b6 · inbound

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces cites this paper.

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:15:04.429463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T21:09:51.002853Z digest=sha256:c2c6ca4383142d8f83eaf4ed85ee2b653a5856c71594da3e36ccc0157434c77a

Observation 190ba1ce-2e45-4de7-ba4b-dc4685ba9de1 · inbound

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis cites this paper.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-19T15:47:38.875752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T15:43:13.455651Z digest=sha256:1247ba7e31c98864a549df0cceda8afcfb8568c277008e23d42548e5ec43f40d

Observation 3637db0f-923c-4d0f-ae05-85285f521a91 · inbound

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis cites this paper.

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:35:46.792569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T20:55:49.455759Z digest=sha256:e560fd5954993694e9ca13414cc5105fc38b864a055ad29d2a73a133735a0644

Observation a0107217-26d8-4df3-8a1c-62d81867cc4c · inbound

How Do Electrocardiogram Models Scale? cites this paper.

How Do Electrocardiogram Models Scale? TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-20T13:48:19.657425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T13:46:30.968131Z digest=sha256:954845bc6cfced2c2cf29f37c252e461c9fd4f91f6c805870df4bec896dd842d

Observation 9c8051d4-2e16-4d5c-a41c-6ffcb19eb886 · inbound

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density cites this paper.

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-20T14:43:22.412466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T14:42:04.841976Z digest=sha256:f75c87e7797821bf5e79adc8bb13b969fd653e37e13bfb46919383e3890374d7

Observation 183a2c41-c74d-4bcd-86de-72ca62d3dfb4 · inbound

L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting cites this paper.

L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T12:28:16.777334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T12:25:42.754858Z digest=sha256:f889042648b60e7eb1c599938d172ec52bc4fb6705a1447ed4230210ca190ee5

Observation d070f87b-214a-486e-89fd-f3227ab4000a · inbound

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data cites this paper.

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-20T12:23:16.802595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T12:22:12.464634Z digest=sha256:3d34f3261c18058c4641d47df1071645bbd96cb40e2a15be3719d2cffd79f036

Observation 21cf1407-9d29-4ee3-82e3-d5fc676de5ca · inbound

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data cites this paper.

DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-06-30T18:55:00.446292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T18:50:53.872036Z digest=sha256:293ecd96bf857b8b0f34c71ef2fd7a15c11ab9e188af245693ebcadde918d7ee

Observation 4e38c99d-0576-4799-8dbb-e529307eff4c · inbound

Atoms of Thought: Universal EEG Representation Learning with Microstates cites this paper.

Atoms of Thought: Universal EEG Representation Learning with Microstates TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-05-20T06:23:05.477486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T06:21:37.129896Z digest=sha256:d60b6eb1f7226ca451a630127f07112ce1a43c2711faa877d4271b462f3138e4

Observation 5e794b43-e50c-4ac5-adcd-c1581645bbe7 · inbound

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series cites this paper.

Discovering Entity-Conditioned Lag Heterogeneity: A Lag-Gated Neural Audit Framework for Panel Time Series TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-22T00:50:51.137591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T00:46:00.886593Z digest=sha256:028fafba1bc2e8c3a021c4cc9528b7bf2fe2517d2a70bca732f84c501add06bf

Observation b4f53c73-14f9-4818-89e7-56efc945daaa · inbound

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series cites this paper.

Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:26:16.606680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T08:25:32.231942Z digest=sha256:22ea4ade5bd094b0be156ea89b6901c56a957996d4005405ec0bdd5bc7ef5a1f

Observation c82797e0-8512-496f-a59a-cd1ff6438ebc · inbound

Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random cites this paper.

Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:14:01.955785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T23:07:41.770082Z digest=sha256:e8cd191f63a6f317c97d6e7fe54e24c0f95db29cd07152529238afb615f34eb6

Observation d9517fed-53cf-4664-8546-badcd5343e30 · inbound

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy cites this paper.

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-06-29T22:24:00.651506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T22:17:53.624667Z digest=sha256:6ba73ec1273f87348f876c69af6e35af48f8401dc1136ac7e725e7ed91cfcbf0

Observation c79b2aee-a8bf-4ac6-ae40-8201f358d6a0 · inbound

GenSBI: Generative Methods for Simulation-Based Inference in JAX cites this paper.

GenSBI: Generative Methods for Simulation-Based Inference in JAX TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:53:51.836541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T18:44:35.962392Z digest=sha256:3d875b6e1df3b0f0d173a61f246643d97ffa633dfaae2f426906e220d2491b7e

Observation 70af08c1-9e2a-4980-9922-11039da99f15 · inbound

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models cites this paper.

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:44:56.277526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T16:35:59.818656Z digest=sha256:996ac6315cb82286546ca45bd0249765e908f898cc4f0f35657977f56e10307c

Observation 74bf5102-b115-4e67-bbbb-769dcd711f05 · inbound

Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection cites this paper.

Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:32:47.370556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T23:28:29.548365Z digest=sha256:cb0f8287faaa3a7749980294e0474d8262c54fb050b1557e86b87264a1c28686

Observation 65303056-5983-4f44-ae74-5724ee670085 · inbound

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

Stationarity-Aware Retrieval-Augmented Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:06:26.523684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T11:17:45.288201Z digest=sha256:bb067adf6f44b8632d1ea44cd7877a80d5e070b970e14bd6f9d08432cb9bab1f

Observation eeca7b0f-463f-468d-a4b2-a3f71f83a193 · inbound

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning cites this paper.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:47:05.886095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:b64036e52e8d79903c4268ee78f108cca77ad89f445e24c082bd19776d9aabec

Observation d59afb80-d042-4c1f-87b7-43aa3ed1d224 · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:46:57.008241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T01:50:24.426751Z digest=sha256:1dc39cfadfba53c15a6d794e8943a952f740afc96f2099b46e52d0e24b3ae477

Observation 4dea89cf-af41-4a40-b370-3d694eae57ee · inbound

PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance cites this paper.

PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative Finance TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-02T16:17:09.254173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T22:50:14.845721Z digest=sha256:4a38663becdd21538fa6105d8aa79570b68c2aa270f87e65951b9b29e5f8463e

Observation 9cd5cf32-ee97-4540-a907-fd07677ba8c1 · inbound

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow cites this paper.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:42:50.002542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T23:26:27.951511Z digest=sha256:e8712214dbafa19ce7761bdafa8154a8a60b26b1324181136b70851eb0869b24

Observation 711bb353-8e28-4c98-98c0-8c471b2d18a1 · inbound

Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection cites this paper.

Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:26:27.385846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T10:52:45.594537Z digest=sha256:90b4a57de941981847681a7b8f136d80833fc47e59ca25d211febc8350522333

Observation 38d36667-37c5-4f3b-87c9-3fc45bf8a15a · inbound

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data cites this paper.

One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:47:37.808772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T13:41:52.295889Z digest=sha256:c040785da93c652a982e38e41df5979c697bcd966e4afc9ed14e3c1c7bd6ee40

Observation 2b737af7-81ae-4a80-8799-b90dd1e0a709 · inbound

Building Social World Models with Large Language Models cites this paper.

Building Social World Models with Large Language Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T09:07:47.518344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T10:34:22.071622Z digest=sha256:e50e9e94ae08b65cf1e11e5462b0d749b9d2cf414ba992b637525d098945dad5

Observation acd4517d-36c0-4b80-86e8-30edd98da80f · 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 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:49:18.907484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T20:56:17.158686Z digest=sha256:ceb36864f62f9976bf462e5736279e63e1f30177f3416f32ce729c6238607a0c

Observation 206aab0a-442c-4a8f-83cd-89b0f20a906d · inbound

Learning to Evade: Adaptive Attacks on Audio Watermarking cites this paper.

Learning to Evade: Adaptive Attacks on Audio Watermarking TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-04T09:19:43.964983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T10:10:18.351233Z digest=sha256:14d82c169f7b8dfbba2d21c8d27c4aa03592ef8167b14eb996f10b7aff4fe38f

Observation 2ee4474d-f56d-4aa6-bf1a-c542301d776e · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-04T13:19:51.309686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T05:15:56.114842Z digest=sha256:413fd09def9bca5f20d763946954ec66652022ac3d56aff938f3006228a2fb8c

Observation c3b4e652-1e7b-4546-9de2-f816e8041c9b · inbound

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

How Good Can Linear Models Be for Time-Series Forecasting? TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-06-30T09:34:34.418575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T09:33:16.718840Z digest=sha256:884aae3bd56bdaf3b05b2d3b097724a6e4276a8183c73790c1f1983b2ad1ceb7

Observation d17980de-faab-4305-a1ab-8131b830b04c · inbound

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition cites this paper.

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 39

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verified exact
local_arxiv, observed 2026-07-02T16:47:08.967211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-02T16:45:46.207051Z digest=sha256:6f541363ee8f09c10824be4e5e1b35890633f701ba881f6928faf69da4640fe9

Observation 63340b24-5ce1-46c9-a482-576cbc6385aa · inbound

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces cites this paper.

SWIFT: Spatio-temporal Wavelet Integrated Forecasting Framework for Workload Traces TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 9

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unresolved
no resolver link, observed 2026-07-12T17:27:02.115346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T17:27:02.115346Z digest=sha256:46298a4680e51163bdd3d7c146ca5d8eadf061af35e8b8f0c1cb6db25a06d8e7

Observation 005e5025-2cd6-4ea8-8a12-6afdfe965e34 · inbound

Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction cites this paper.

Missingness as Signal: Channel-Independent Spectrogram Learning for Clinical Time Series Prediction TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 29

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unresolved
no resolver link, observed 2026-07-12T05:57:52.610916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:57:52.610916Z digest=sha256:987ed06ddedad651503486b590084b2f75c46b97d1f76d613e2bdfcc4a62f40f

Observation e54d320f-69b4-45dd-bde1-38c5be505f01 · inbound

STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition cites this paper.

STELLA: Efficient Sensor-to-LLM Translation for On-Device Human Activity Recognition TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 40

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no resolver link, observed 2026-07-12T05:00:27.620185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:00:27.620185Z digest=sha256:d15229c0f5df7ef965e5fc1e1eb88bd408aeaf03b24a73ad04812e175883207b

Observation c27170d3-384a-4103-b129-06c905a5f4f5 · inbound

VEIL: How Visual Encoding Hijacking Induces Bias In Vision Models cites this paper.

VEIL: How Visual Encoding Hijacking Induces Bias In Vision Models TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 34

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unresolved
no resolver link, observed 2026-07-11T04:29:05.231004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T04:29:05.231004Z digest=sha256:1897de4989a0d54fdae17b04d0429c02742e2de4d6af3d5976f483e871d5086f

Observation 5a05ffa8-af8f-433b-b7b9-6b782b3eaf7a · inbound

Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure cites this paper.

Onnes: A Physics-Grounded Multi-Agent LLM Simulator for Cryogenic Fault Diagnosis in Quantum Computing Infrastructure TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-08T23:55:43.114470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-08T23:51:52.094508Z digest=sha256:1b40aafe8f5713fd1a50ba1377faca288c377d1c6f9f684714b95c3684a5c9f3

Observation 39e8b663-359e-4f8d-9d58-d7dbc4e978dc · inbound

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks cites this paper.

Flow-PIN: A Two-Stage Power-Flow-Guided Method for System-Wide Multivariate Profile Inpainting in Distribution Networks TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-09T16:26:20.742863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-09T16:20:59.259623Z digest=sha256:dfb1109e10e44f7bf2f94e232818abb266d12d29ab07a4c33de51a74c458c3b4

Observation 4d76e44e-acc3-48b6-881e-fc3a5753b4e0 · inbound

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting cites this paper.

RhyMix: A Lightweight Adaptive Multi-Rhythm Network for Long-Term Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 15

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metadata mismatch
local_arxiv, observed 2026-07-10T10:57:05.502857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-10T10:54:22.996938Z digest=sha256:206b70c08c487f4efd85a7ee36595287d56d3019322732c55839778d5a03d957

Observation f9952680-f8e7-4b9f-a441-7528ab4563cc · 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 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:36:39.436015Z digest=sha256:8d1798217adfab09a1fb5f8419efda7faa99bb1438240550d4191b137f72af11

Observation 747e61bb-e332-4ceb-864c-ef1f9188040a · inbound

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals cites this paper.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 21

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unresolved
no resolver link, observed 2026-08-01T14:10:00.116049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:10:00.116049Z digest=sha256:e62aa67020177ce7a04f0e93ba6c29301e6ec4ff943be86337b723b97def11fe

Observation bafa68c1-a1e0-43d2-8a75-e315afad4111 · inbound

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

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 76

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unresolved
no resolver link, observed 2026-08-01T10:29:15.589644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:29:15.589644Z digest=sha256:089d139bca574721f506e0634eb9c82ba53b15cb099034699587824dec73e15c

Observation 15f7b1fb-e8c9-491e-b49e-4b83b004c8e9 · inbound

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting cites this paper.

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 19

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unresolved
no resolver link, observed 2026-08-01T05:16:39.311687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:16:39.311687Z digest=sha256:cb8c47116308c0e0cdad374a01dba40c4892a1637ac0a5a170d8755ef75a091a

Observation 47bb4ea6-4754-42a4-8f8f-6fc7b24f6358 · inbound

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion cites this paper.

TFGformer: Multivariate Time Series Forecasting via Time-Frequency Graph Learning and Covariate Fusion TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 13

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unresolved
no resolver link, observed 2026-08-03T06:43:40.085953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:43:40.085953Z digest=sha256:6b664e5c1f810655193e3cfeaa7f614ab3c38c37f8261fde4c6f66d74bb68b53