Paper Citation Record · LEDGER

CORAL: Concept Drift Representation Learning for Co-evolving Time-series

As of 11 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2501.01480.

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

pith.paper-citation-record.v1
2501.01480 v3

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:42.329042Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T14:46:03.487899Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:51:07.611614Z

Reference resolution

67 of 67 outbound references displayed

verified exact3
verified fuzzy51
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b717d3a9-709d-40f9-904b-58e8dae61308 · outbound

This paper cites Automatic subspace clustering of high dimensional data.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Automatic subspace clustering of high dimensional data

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.664761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 08186106-0a04-47a5-abf3-73e60fa4c518 · outbound

This paper cites Markov-switching garch models in r: The msgarch package.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Markov-switching garch models in r: The msgarch package

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.653799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca92f435-6f14-4bae-b89f-09fa25127d10 · outbound

This paper cites and Liang, J.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Liang, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.639034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09468136-feaa-4c9b-9838-03b4e2067f09 · outbound

This paper cites S., and Kassler, A.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series S., and Kassler, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.596075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a596c557-3dad-40bd-9b62-76d2c18df920 · outbound

This paper cites J., and Lucas, A.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series J., and Lucas, A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.561885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 098b34db-dd26-4a67-9acd-92a49b4be400 · outbound

This paper cites and Wang, S.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Wang, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.550066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ec4cbfa8-01d3-4700-beef-ecb56eaa4aa1 · outbound

This paper cites Box and jenkins: time series analysis, forecasting and control.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Box and jenkins: time series analysis, forecasting and control

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.535825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d0692118-5388-4780-81d2-5a16d5c50e0b · outbound

This paper cites C., Minku, L.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series C., Minku, L

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.478050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c56ecbad-97a6-47f6-8e5d-6d49b843b02d · outbound

This paper cites Self-expressive kernel subspace clustering algorithm for categorical data with embedded feature selection.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Self-expressive kernel subspace clustering algorithm for categorical data with embedded feature selection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.453829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b22217c-ba25-4ecf-b1ed-88dbffac0269 · outbound

This paper cites and Paschalidis, I.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Paschalidis, I

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.440434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6a536420-b92c-4add-b03e-2760bc404266 · outbound

This paper cites Clustering-based cross-sectional regime identification for financial market forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Clustering-based cross-sectional regime identification for financial market forecasting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.426935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5f00d7d5-d3ff-4810-b3b7-822f0ffffce5 · outbound

This paper cites Dynamic cross-sectional regime identification for financial market prediction.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Dynamic cross-sectional regime identification for financial market prediction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.334264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 850d945d-ee9c-41da-9d19-614681315880 · outbound

This paper cites Timemae: Self-supervised representations of time series with decoupled masked autoencoders.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Timemae: Self-supervised representations of time series with decoupled masked autoencoders

Reference 13

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Source-reported events for the cited work

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Observation 0e19a087-3df0-409c-bef5-a32635ac92e4 · outbound

This paper cites Convex optimization & Euclidean distance geometry.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Convex optimization & Euclidean distance geometry

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.320136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24333f0a-2d9e-44cb-b31a-0e9899a8896a · outbound

This paper cites V., Xue, H., and Salim, F.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series V., Xue, H., and Salim, F

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.307993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b86a5360-eb49-4ad2-82c1-9446580c1f8d · outbound

This paper cites and Vidal, R.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Vidal, R

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.256565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 583275cd-33f6-484a-8b49-84c3950b5dc5 · outbound

This paper cites Dish-ts: a general paradigm for alleviating distribution shift in time series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Dish-ts: a general paradigm for alleviating distribution shift in time series forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.200082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0c0d4a4a-a125-4018-b1a3-f6338c47f2e9 · outbound

This paper cites T-Rep: Representation Learning for Time Series using Time-Embeddings.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series T-Rep: Representation Learning for Time Series using Time-Embeddings

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:41.138671Z

Source-reported events for the cited work

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Observation db369fbb-6d5d-43bb-8d6b-e28c1f0dd1a3 · outbound

This paper cites Efficient dense subspace clustering.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Efficient dense subspace clustering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.187885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c4d1fb87-a7bd-4e46-89a8-5a44dee442fb · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.175023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ccb47036-5ea6-4a79-96e3-2010b0b01df0 · outbound

This paper cites and Hong, Y.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Hong, Y

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.067584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a029be04-d6c3-4749-9302-6c9d2d20fbad · outbound

This paper cites Ddg-da: Data distribution generation for predictable concept drift adaptation.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Ddg-da: Data distribution generation for predictable concept drift adaptation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.056010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 09307584-f4d7-4dc5-aaa0-981f3ffb9fb4 · outbound

This paper cites S parse TSF : Modeling long-term time series forecasting with 1k parameters.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series S parse TSF : Modeling long-term time series forecasting with *1k* parameters

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:44.043724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a17328d9-2705-4349-8f39-bd59f48e29af · outbound

This paper cites Linearized alternating direction method with adaptive penalty for low-rank representation.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Linearized alternating direction method with adaptive penalty for low-rank representation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.984632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 651fcf9b-600e-46c3-bb7f-5affb0f2404e · outbound

This paper cites Robust recovery of subspace structures by low-rank representation.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Robust recovery of subspace structures by low-rank representation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.923902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 608a94df-53a2-4135-bc79-e327f38cba93 · outbound

This paper cites and Chen, S.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Chen, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.911253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b143532-fd6d-4268-93f3-2ae1f4858a30 · outbound

This paper cites Anomaly and change point detection for time series with concept drift.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Anomaly and change point detection for time series with concept drift

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.900194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da4ca81c-9cd9-423e-83b3-ce918ad977f4 · outbound

This paper cites Subspace clustering by block diagonal representation.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Subspace clustering by block diagonal representation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.886304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1c0e713f-575e-4d52-96b8-8f4ea1fbc0b0 · outbound

This paper cites Learning under concept drift: A review.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Learning under concept drift: A review

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.842063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c7a9be2e-8cf2-4ac7-b479-71aad71a1f6c · outbound

This paper cites Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:38:42.590566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 361b9abe-3e0f-4c94-931d-596505b05dd8 · outbound

This paper cites and Sakurai, Y.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Sakurai, Y

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.762551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 41ddd0e5-d2aa-4259-aa95-25c4554f1922 · outbound

This paper cites and Sakurai, Y.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Sakurai, Y

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.750790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fcf6c704-e5c1-4f7b-9bdd-7accb7d751ad · outbound

This paper cites and Kajino, H.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Kajino, H

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.736950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2a342825-8ff9-4792-865f-0ff42b5f1336 · outbound

This paper cites On spectral clustering: Analysis and an algorithm.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series On spectral clustering: Analysis and an algorithm

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.696031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 394c21ba-dbcd-4afc-947c-352c4a4e0c5d · outbound

This paper cites Clustering and projected clustering with adaptive neighbors.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Clustering and projected clustering with adaptive neighbors

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.604772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bac9bf3d-98c0-4501-9936-7deef9254124 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 36

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Source-reported events for the cited work

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Observation 5a8381ae-fe3b-4b79-8dc4-2853c02bb81b · outbound

This paper cites Learning Fast and Slow for Online Time Series Forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Learning Fast and Slow for Online Time Series Forecasting

Reference 37

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Source-reported events for the cited work

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Observation 47ae74b0-b094-4f69-861d-124236be7cef · outbound

This paper cites Knowledge-maximized ensemble algorithm for different types of concept drift.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Knowledge-maximized ensemble algorithm for different types of concept drift

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.591320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed27552b-8b59-467c-a787-1ba8814c82d2 · outbound

This paper cites Stochastic complexity in statistical inquiry, volume 15.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Stochastic complexity in statistical inquiry, volume 15

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.577003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c3dc40a6-26d3-434e-9722-14f444022a88 · outbound

This paper cites an unresolved cited work.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1048ccef-638d-4cce-8f29-e6cfc07e7326 · outbound

This paper cites and Hinton, G.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Hinton, G

Reference 41

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Source-reported events for the cited work

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Observation 627564a4-4233-40b4-bd87-992580c58789 · outbound

This paper cites A tutorial on spectral clustering.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series A tutorial on spectral clustering

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.493024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4154323c-bc4d-4ed8-9fee-1cfa2543fee7 · outbound

This paper cites Card: Channel aligned robust blend transformer for time series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Card: Channel aligned robust blend transformer for time series forecasting

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.481858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d7be8b8-10c5-48e0-b761-9e168201373b · outbound

This paper cites I., Hyde, R., Cao, H., Nguyen, H.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series I., Hyde, R., Cao, H., Nguyen, H

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.469810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38cf3c15-9333-48ce-ade3-d443aefd34ad · outbound

This paper cites Onenet: Enhancing time series forecasting models under concept drift by online ensembling.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Onenet: Enhancing time series forecasting models under concept drift by online ensembling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.456694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6da4b867-7a12-4563-993a-249bb68a90ed · outbound

This paper cites ETSformer: Exponential Smoothing Transformers for Time-series Forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:41.734079Z

Source-reported events for the cited work

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Observation c08764ce-bf88-4bdf-9813-5e677b19f9e8 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.358705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5bfa7a55-5357-45e8-ba25-fbbc1a5821d0 · outbound

This paper cites A self-representation model for robust clustering of categorical sequences.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series A self-representation model for robust clustering of categorical sequences

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.303753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e7dd30d-dd2f-47c6-88c3-0e080e2f13b7 · outbound

This paper cites Kernel subspace clustering algorithm for categorical data.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Kernel subspace clustering algorithm for categorical data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.289215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e180287-c3af-425d-b4c1-f6fcbf59e1ef · outbound

This paper cites Data-driven kernel subspace clustering with local manifold preservation.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Data-driven kernel subspace clustering with local manifold preservation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.274831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 829754f4-bd15-439e-884c-142d8c91fe64 · outbound

This paper cites A multi-view kernel clustering framework for categorical sequences.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series A multi-view kernel clustering framework for categorical sequences

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.242306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da50488a-a917-40e9-bbf4-3199f390d9c6 · outbound

This paper cites Kernel representation learning with dynamic regime discovery for time series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Kernel representation learning with dynamic regime discovery for time series forecasting

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.228060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f3e8458c-fa2e-4696-a23a-1f1719728d4a · outbound

This paper cites Rhine: A regime-switching model with nonlinear representation for discovering and forecasting regimes in financial markets.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Rhine: A regime-switching model with nonlinear representation for discovering and forecasting regimes in financial markets

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.214016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ca9d6c2-839b-4ae0-9043-efb706c491de · outbound

This paper cites Kan4drift: Are kan effective for identifying and tracking concept drift in time series? In NeurIPS Workshop on Time Series in the Age of Large Models, 2024 c.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Kan4drift: Are kan effective for identifying and tracking concept drift in time series? In NeurIPS Workshop on Time Series in the Age of Large Models, 2024 c

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.124758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b002708-29cd-4d36-933c-e863c8d30bc2 · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.131720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a5bc52-88e0-49df-a63f-25e509384448 · outbound

This paper cites Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:38:42.484424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0e492db8-7077-427d-86cb-88adac828c50 · outbound

This paper cites Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:38:42.394373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e263da59-1a17-4662-a2cf-d39e8ba2641a · outbound

This paper cites FITS : Modeling time series with \ 10k\ parameters.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series FITS : Modeling time series with \ 10k\ parameters

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.072558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fb4f935-74bf-445c-85d4-fc5d15fe3dec · outbound

This paper cites and Hong, S.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series and Hong, S

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:43.057872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d21dd8b-f593-4140-ba82-8bf2e30e26b9 · outbound

This paper cites Learning to learn the future: Modeling concept drifts in time series prediction.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Learning to learn the future: Modeling concept drifts in time series prediction

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:42.931491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15f66968-43e9-4d4a-8cde-d671aaa4a8a8 · outbound

This paper cites Online boosting adaptive learning under concept drift for multistream classification.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Online boosting adaptive learning under concept drift for multistream classification

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:42.849849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a14d460c-5103-4dd7-b482-431003bf1f27 · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, pp.\ 11121--11128, 2023.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, pp.\ 11121--11128, 2023

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.159764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d7e3a15-b376-43d1-864b-90b93eb198db · outbound

This paper cites Graph structure fusion for multiview clustering.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Graph structure fusion for multiview clustering

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:38:42.776194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7c445a70-9651-47eb-a5b6-a45e2b137776 · outbound

This paper cites Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.167608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62c16976-663f-482d-b899-8191b0acabf4 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.171430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ca48c6f-74a3-434e-83e5-d0e1484d97c9 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.291045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9d9319-dd23-474d-b4c2-052c87e84f52 · outbound

This paper cites write newline.

CORAL: Concept Drift Representation Learning for Co-evolving Time-series write newline

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T22:38:42.329042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dd5cf2c1-3af2-4ced-a1a8-cc5bd9ef49ee · inbound

Autonomous Drift Learning in Data Streams: A Unified Perspective cites this paper.

Autonomous Drift Learning in Data Streams: A Unified Perspective CORAL: Concept Drift Representation Learning for Co-evolving Time-series

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:51:07.616544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.