Paper Citation Record · LEDGER

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction

As of 12 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2411.11249.

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

pith.paper-citation-record.v1
2411.11249 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:03.488681Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:28:23.078161Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:28:25.389023Z

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cc79dee-e73d-4883-af5e-f687fc41e8b7 · outbound

This paper cites How to train your flare prediction model: Revisiting robust sampling of rare events,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction How to train your flare prediction model: Revisiting robust sampling of rare events,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.805498Z

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Observation 93020df6-f2ee-43d3-af36-23a42c4c4b79 · outbound

This paper cites A time series classification-based approach for solar flare prediction,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction A time series classification-based approach for solar flare prediction,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.795415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a5a93a1b-3900-4b6f-8ddd-442a6274ca9e · outbound

This paper cites Solar flare prediction using sdo/hmi vector magnetic field data with a machine-learning algorithm,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Solar flare prediction using sdo/hmi vector magnetic field data with a machine-learning algorithm,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.785289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e7608b2-27d7-42c9-8f9b-a20b8d757ef5 · outbound

This paper cites Multivariate time series dataset for space weather data analytics,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Multivariate time series dataset for space weather data analytics,

Reference 4

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Observation e2cc7a8e-b064-4bb4-a5c5-cc7c54a566e0 · outbound

This paper cites Multivariate time series-based solar flare prediction by functional network embedding and sequence modeling,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Multivariate time series-based solar flare prediction by functional network embedding and sequence modeling,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.769449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d996a7f-b22a-4d59-943c-6e946081cde8 · outbound

This paper cites Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:52:03.624660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 118d34ee-3ab9-4d21-8eb7-0e47f5c22eae · outbound

This paper cites Contrastive representation learning: A framework and review,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Contrastive representation learning: A framework and review,

Reference 7

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Source-reported events for the cited work

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Observation 22b23c09-35b6-4a14-b8d2-97fa46516314 · outbound

This paper cites The classification of sunspot groups,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction The classification of sunspot groups,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.753214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2d66c7b0-3ed8-4d94-b76a-a1e28c00142f · outbound

This paper cites Spatio- temporal interpolation methods for solar events metadata,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Spatio- temporal interpolation methods for solar events metadata,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.744000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 63d3d124-0688-4b01-8a6e-f6b349b4de5f · outbound

This paper cites Testing automated solar flare forecast- ing with 13 years of michelson doppler imager magnetograms,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Testing automated solar flare forecast- ing with 13 years of michelson doppler imager magnetograms,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.734225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f15f760a-2abb-4c86-ac84-e529406526ce · outbound

This paper cites Statistical assessment of photospheric magnetic features in imminent solar flare predictions,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Statistical assessment of photospheric magnetic features in imminent solar flare predictions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.722618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 65461c5e-e8ea-4769-b2d3-1c93899b6764 · outbound

This paper cites Short-term solar flare prediction using a sequential supervised learning method,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Short-term solar flare prediction using a sequential supervised learning method,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.713128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b15247c3-6d9f-485f-be61-b64ab677ff5c · outbound

This paper cites Solar flare prediction using advanced feature extraction, machine learning, and feature selection,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Solar flare prediction using advanced feature extraction, machine learning, and feature selection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.703602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2ca2f13a-a29c-48b6-830d-d52619ffdf64 · outbound

This paper cites Solar flare prediction using multivariate time series decision trees,.

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.692704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8111ca0f-e61e-4dd9-8595-2b065e3d75f7 · outbound

This paper cites Sequence model-based end-to-end solar flare classification from multivariate time series data,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Sequence model-based end-to-end solar flare classification from multivariate time series data,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.682752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 08cfe183-ece1-49ce-86f2-a28f460903a6 · outbound

This paper cites Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 146e7ba6-1e00-41fa-a940-6d4c7280551b · outbound

This paper cites Time-Series Representation Learning via Temporal and Contextual Contrasting.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Time-Series Representation Learning via Temporal and Contextual Contrasting

Reference 17

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Observation ccc34083-cbe8-4483-abd7-a9300e104c99 · outbound

This paper cites Time series contrastive learning with information-aware augmentations,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Time series contrastive learning with information-aware augmentations,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:52:03.462753Z

Source-reported events for the cited work

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Observation c21920a0-50b7-4614-a801-dad35d453a3c · outbound

This paper cites Soft contrastive learning for time series,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Soft contrastive learning for time series,

Reference 19

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Source-reported events for the cited work

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Observation 7de852c7-0ff5-4ee1-85e0-4c6f36ea0e3f · outbound

This paper cites Simple Contrastive Representation Learning for Time Series Forecasting.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Simple Contrastive Representation Learning for Time Series Forecasting

Reference 20

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Source-reported events for the cited work

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Observation 27649af8-d7c4-4b15-b67c-d6fc13bf17c9 · outbound

This paper cites catch22: Canonical time-series characteristics: Selected through highly comparative time-series analysis,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction catch22: Canonical time-series characteristics: Selected through highly comparative time-series analysis,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.666877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c7d817a8-58b7-44d0-a99b-8f2c9a16021f · outbound

This paper cites The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.656862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7d513621-a4a7-4dae-900e-44722faea8dd · outbound

This paper cites The UEA multivariate time series classification archive, 2018.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction The UEA multivariate time series classification archive, 2018

Reference 23

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Source-reported events for the cited work

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Observation 37b575ea-dc04-4cdf-91c9-949665a49f5e · outbound

This paper cites Impacts of data preprocessing and sampling techniques on solar flare prediction from multivariate time series data of photospheric magnetic field pa- rameters,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Impacts of data preprocessing and sampling techniques on solar flare prediction from multivariate time series data of photospheric magnetic field pa- rameters,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:52:03.646509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 448b8788-5a74-41ce-89c3-ca0008c7316a · outbound

This paper cites Visualizing data using t-sne.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Visualizing data using t-sne

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:52:03.485632Z

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Observation eacba1ea-5ad3-4393-aec6-de9e9ce60b75 · outbound

This paper cites Rocket: exceptionally fast and accurate time series classification using random convolutional kernels,.

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction Rocket: exceptionally fast and accurate time series classification using random convolutional kernels,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T18:52:03.488681Z

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Pith citing papers

Observation e2590c49-3a1a-414d-b43a-4c508d14578a · inbound

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation cites this paper.

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:28:25.457896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.