Paper Citation Record · LEDGER

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.07198.

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

pith.paper-citation-record.v1
2509.07198 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:44:41.414002Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact0
verified fuzzy18
unresolved14
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdea3456-2ed6-40de-9e69-2b0998028652 · outbound

This paper cites @esa (Ref.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data @esa (Ref

Reference 1

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Observation a0007316-5787-4233-b0db-76f6af8e4fc3 · outbound

This paper cites an unresolved cited work.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 806c4808-f761-4bf9-af25-ca028b4a9475 · outbound

This paper cites Trajectory-based air-writing recognition using deep neural network and depth sensor.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Trajectory-based air-writing recognition using deep neural network and depth sensor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:44.352026Z

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Observation 65f75c27-d34d-4b78-852b-c08976f0b6e6 · outbound

This paper cites Evolutionary clustering via message passing.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Evolutionary clustering via message passing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:44.017704Z

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Observation 16090c43-1981-4ab7-95bc-9a1558f281e8 · outbound

This paper cites Dynamic local regret for non-convex online forecasting.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Dynamic local regret for non-convex online forecasting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:43.909264Z

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Observation fbf90e28-4599-4c19-9853-789eb908bc98 · outbound

This paper cites Evolutionary clustering.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Evolutionary clustering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:43.749225Z

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Observation d7c418f3-07b3-4c62-a61b-fe2f03519f98 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data A simple framework for contrastive learning of visual representations

Reference 8

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Observation 6654c0da-55d6-4a60-b1da-76f17c6e4284 · outbound

This paper cites Exploring simple siamese representation learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Exploring simple siamese representation learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:44:43.660642Z

Source-reported events for the cited work

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Observation 617ec5f9-7ea2-44b3-a770-98cb346781f6 · outbound

This paper cites Fed-qssl: A framework for personalized federated learning under bitwidth and data heterogeneity.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Fed-qssl: A framework for personalized federated learning under bitwidth and data heterogeneity

Reference 10

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Observation a9a1eb86-6995-4ae8-93d1-48e0b5ca5129 · outbound

This paper cites Adaptive Personalized Federated Learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Adaptive Personalized Federated Learning

Reference 11

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Source-reported events for the cited work

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Observation 7bdfdd6f-659f-4fd0-8c23-a63cc905ba69 · outbound

This paper cites TSLANet: Rethinking Transformers for Time Series Representation Learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data TSLANet: Rethinking Transformers for Time Series Representation Learning

Reference 12

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Source-reported events for the cited work

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Observation a8f4e69a-bacb-4c47-b953-ce0377d73c0a · outbound

This paper cites SOM-VAE: Interpretable Discrete Representation Learning on Time Series.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation adfeca4c-9989-47e4-9a39-10f575fac1e2 · outbound

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

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data T-Rep: Representation Learning for Time Series using Time-Embeddings

Reference 14

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Source-reported events for the cited work

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Observation 7f998ef6-898b-4b9c-8893-a1caba6c1ad6 · outbound

This paper cites Unsupervised scalable representation learning for multivariate time series.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Unsupervised scalable representation learning for multivariate time series

Reference 15

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Source-reported events for the cited work

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Observation 3ffeec14-3f33-4a4d-822f-523d906bed33 · outbound

This paper cites An efficient framework for clustered federated learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data An efficient framework for clustered federated learning

Reference 16

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Source-reported events for the cited work

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Observation a7547488-5651-420f-80ff-86047f7e87c3 · outbound

This paper cites Long short-term memory.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Long short-term memory

Reference 17

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Observation 21897879-1bda-4ca5-9fc2-c4db60874126 · outbound

This paper cites How to escape saddle points efficiently.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data How to escape saddle points efficiently

Reference 18

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Observation ae573f56-d393-4a71-8047-6f9cace50194 · outbound

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

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 19

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Source-reported events for the cited work

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Observation 2c72f1fd-1386-426e-95e2-91bd379368ed · outbound

This paper cites Dynamic clustering in federated learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Dynamic clustering in federated learning

Reference 20

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Source-reported events for the cited work

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Observation d3be6f32-c405-4d1d-8767-4da252b55ef5 · outbound

This paper cites Recent development and applications of sumo-simulation of urban mobility.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Recent development and applications of sumo-simulation of urban mobility

Reference 21

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Observation d7731255-3cd6-4528-9e8d-1748679f9e72 · outbound

This paper cites Transfer learning promotes acquisition of individual bci skills.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Transfer learning promotes acquisition of individual bci skills

Reference 22

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Observation 7fe77ab5-1c26-4feb-b898-968f002db8e9 · outbound

This paper cites Federated learning with soft clustering.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Federated learning with soft clustering

Reference 23

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Observation 73304ca0-8af3-4573-b2f6-892adaeb84a0 · outbound

This paper cites Federated optimization in heterogeneous networks.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Federated optimization in heterogeneous networks

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81565354-3ee3-4446-b844-dfcd22c69aa3 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Ditto: Fair and robust federated learning through personalization

Reference 25

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79e19cdf-18b4-4e19-9fc8-7d7aefc37eee · outbound

This paper cites Three Approaches for Personalization with Applications to Federated Learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Three Approaches for Personalization with Applications to Federated Learning

Reference 26

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This paper cites Communication-efficient learning of deep networks from decentralized data.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Communication-efficient learning of deep networks from decentralized data

Reference 27

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This paper cites A greedy agglomerative framework for clustered federated learning.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data A greedy agglomerative framework for clustered federated learning

Reference 28

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Observation f00d1d5d-ebc8-4ec5-ab71-d7321e256b9c · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 29

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This paper cites Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?

Reference 30

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This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 31

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Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Adaptive evolutionary clustering

Reference 32

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Observation 0af5c459-f3c3-4ede-bd4d-fc5bec68d5b2 · outbound

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Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Metaclusterfl: Personalized federated learning on non-iid data with meta-learning and clustering

Reference 33

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Observation af028fa0-1a67-4b20-beec-1693ad8ac16d · outbound

This paper cites Federated Learning with Non-IID Data.

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data Federated Learning with Non-IID Data

Reference 34

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.