Paper Citation Record · LEDGER

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning

As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.10575.

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

pith.paper-citation-record.v1
2505.10575 v2

Coverage vector

measured 49 of 49 reference resolution

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:16.894950Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:35:18.828417Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation f3f823b7-508e-4f60-9006-e16b5ce9335f · outbound

This paper cites Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Robust federated learning under statistical heterogeneity via hessian-weighted aggregation

Reference 1

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Observation c26b0100-7792-4ccf-931d-38a4d5116122 · outbound

This paper cites Adaptive automation triggered by eeg-based mental workload index: A passive brain-computer interface application in real- istic air traffic control environment.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Adaptive automation triggered by eeg-based mental workload index: A passive brain-computer interface application in real- istic air traffic control environment

Reference 2

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Observation 4af297d2-49fb-478a-aecc-964fee8a1112 · outbound

This paper cites A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks

Reference 3

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Observation de3b34b8-f48c-4899-8af7-9a117e8c32bb · outbound

This paper cites Lur: An online learning model for eeg emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Lur: An online learning model for eeg emotion recognition

Reference 4

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Observation f7cc2c30-bc68-4c3b-b3c3-50a1f09a93be · outbound

This paper cites A simple framework for contrastive learning of visual representations, in: Pro- ceedings of the 37th International Conference on Machine Learning, pp.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A simple framework for contrastive learning of visual representations, in: Pro- ceedings of the 37th International Conference on Machine Learning, pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.916596Z

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Observation dd44c19b-5ad5-4647-b6aa-edf6747b102b · outbound

This paper cites A sim- ple framework for contrastive learning of visual representations, in: ICML, pp.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A sim- ple framework for contrastive learning of visual representations, in: ICML, pp

Reference 6

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Observation ab2945ab-ab62-4b88-afaf-9c46b56a32e1 · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 7

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Observation 55b282b3-0d6c-4aea-aa22-d37b2382ae5e · outbound

This paper cites Amigos: A dataset for affect, personality and mood research on individuals and 22 groups.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Amigos: A dataset for affect, personality and mood research on individuals and 22 groups

Reference 8

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Observation fbdb2acb-6506-48ec-8d19-aed71df34a17 · outbound

This paper cites Semisuper- vised autoencoders for speech emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Semisuper- vised autoencoders for speech emotion recognition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.871864Z

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Observation 177b7992-e600-452d-993b-48fa4ae46ee9 · outbound

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Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Unresolved cited work

Reference 10

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Observation a3814402-7e61-4ffe-a8a4-024d5a34555e · outbound

This paper cites Online continual decoding of streaming eeg signal with a balanced and informative memory buffer.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Online continual decoding of streaming eeg signal with a balanced and informative memory buffer

Reference 11

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Observation b8a5dac3-0ab6-43ac-bc49-5b8e1f6f5e71 · outbound

This paper cites Retain and adapt: Online sequential eeg classification with subject shift.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Retain and adapt: Online sequential eeg classification with subject shift

Reference 12

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Observation 0fb7ab9d-1d0f-42d7-93a0-b7c9c70d5dfa · outbound

This paper cites Self-supervised models are continual learners.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Self-supervised models are continual learners

Reference 13

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Observation 72a086e5-2c9a-4c52-af7b-728de33ec868 · outbound

This paper cites Mapping the signal- to-noise-ratios of cortical sources in magnetoencephalography and elec- troencephalography.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Mapping the signal- to-noise-ratios of cortical sources in magnetoencephalography and elec- troencephalography

Reference 14

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Observation 4137cf6f-da51-4b86-bfd7-c833e15a7613 · outbound

This paper cites Eeg in game user analysis: A framework for expertise classification during gameplay.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Eeg in game user analysis: A framework for expertise classification during gameplay

Reference 15

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Observation ab310764-eb3c-4d38-8c0e-9233ef843e35 · outbound

This paper cites Emotion recognition in human-computer interaction.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Emotion recognition in human-computer interaction

Reference 16

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Observation db71a764-be20-4dc2-ad20-33f265dd6898 · outbound

This paper cites Hybrid spiking neural net- work for sleep electroencephalogram signals.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Hybrid spiking neural net- work for sleep electroencephalogram signals

Reference 17

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Observation 122ba6a3-ec1d-4326-ab64-c2b1a6e500b2 · outbound

This paper cites Remonet: Reducing emotional label noise via multi-regularized self-supervision, in: ACM Multimedia.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Remonet: Reducing emotional label noise via multi-regularized self-supervision, in: ACM Multimedia

Reference 18

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Observation b42cf236-34a0-45b0-9600-48db3c0233f0 · outbound

This paper cites Variational deep embedding: An unsupervised and generative approach to clustering, in: International Joint Conference on Artificial Intelligence.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Variational deep embedding: An unsupervised and generative approach to clustering, in: International Joint Conference on Artificial Intelligence

Reference 19

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Observation 250fc47d-ab02-4579-aeaa-24300904ea4d · outbound

This paper cites Emo- tion recognition and artificial intelligence: A systematic review (2014–.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Emo- tion recognition and artificial intelligence: A systematic review (2014–

Reference 20

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Observation e12f8e98-0d00-4ad9-b429-44a5ced8d41b · outbound

This paper cites Over- coming catastrophic forgetting in neural networks.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Over- coming catastrophic forgetting in neural networks

Reference 21

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Observation 8760793a-1161-48af-bb9d-cfcc4abbf57b · outbound

This paper cites Supervised contrastive learning.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Supervised contrastive learning

Reference 22

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Observation 39fa1302-5600-4be0-838a-57cde8f7a52c · outbound

This paper cites Domain adaptation for eeg emotion recognition based on latent representation similarity.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Domain adaptation for eeg emotion recognition based on latent representation similarity

Reference 23

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Observation a5889ade-d26b-48a9-b979-b0cdb1c313e6 · outbound

This paper cites Deap: A database for emo- tion analysis ;using physiological signals.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Deap: A database for emo- tion analysis ;using physiological signals

Reference 24

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Observation 4b54cfec-8839-4067-85c7-4db578911ab6 · outbound

This paper cites A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A multimodal psychological, physiological and behavioural dataset for human emotions in driving tasks

Reference 25

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This paper cites Multisource transfer learning for cross-subject eeg emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Multisource transfer learning for cross-subject eeg emotion recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.617939Z

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Observation c770e059-6d33-4353-bf67-301f1ad17aef · outbound

This paper cites Enhancing the reliability of out-of- distribution image detection in neural networks, in: International Con- ference on Learning Representations.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Enhancing the reliability of out-of- distribution image detection in neural networks, in: International Con- ference on Learning Representations

Reference 27

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Observation 7a8cf893-9dfd-4376-9f07-53ae1b694f5f · outbound

This paper cites A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition

Reference 28

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This paper cites Vbh-gnn: Variational bayesian heterogeneous graph neural networks for cross-subject emotion recognition, in: International Conference on Learning Representations.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Vbh-gnn: Variational bayesian heterogeneous graph neural networks for cross-subject emotion recognition, in: International Conference on Learning Representations

Reference 29

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Observation 08bb89ba-1664-4b5a-9726-3de45d33ce37 · outbound

This paper cites Cognitive Human-Machine Interfaces and Interactions for Avionics Systems.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Cognitive Human-Machine Interfaces and Interactions for Avionics Systems

Reference 30

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This paper cites Driver emotion recog- nition with a hybrid attentional multimodal fusion framework.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Driver emotion recog- nition with a hybrid attentional multimodal fusion framework

Reference 31

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Observation 9ec44f9f-c6be-4406-9ffa-4fe8c9929af7 · outbound

This paper cites Self-supervised Learning is More Robust to Dataset Imbalance.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Self-supervised Learning is More Robust to Dataset Imbalance

Reference 32

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This paper cites Evolutionary computation algorithms for feature selection of eeg-based emotion recognition using mobile sensors.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Evolutionary computation algorithms for feature selection of eeg-based emotion recognition using mobile sensors

Reference 33

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Observation f02d96a7-86ff-4c3b-b8d1-a271a59554d0 · outbound

This paper cites Long short term memory hyperparameter optimization for a 25 neural network based emotion recognition framework.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Long short term memory hyperparameter optimization for a 25 neural network based emotion recognition framework

Reference 34

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This paper cites Automatic driver stress level classification using multi- modal deep learning.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Automatic driver stress level classification using multi- modal deep learning

Reference 35

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This paper cites Self-supervised ecg representation learning for emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Self-supervised ecg representation learning for emotion recognition

Reference 36

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This paper cites Contrastive Learning for Unsupervised Domain Adaptation of Time Series.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Contrastive Learning for Unsupervised Domain Adaptation of Time Series

Reference 37

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Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Unresolved cited work

Reference 38

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This paper cites Self- supervised eeg emotion recognition models based on cnn.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Self- supervised eeg emotion recognition models based on cnn

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.425426Z

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Observation 0545f63a-c694-42c1-ac5a-cc6baffca6fd · outbound

This paper cites Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:47:24.233711Z

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This paper cites Transformer-based self-supervised multimodal representation learning for wearable emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Transformer-based self-supervised multimodal representation learning for wearable emotion recognition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.391676Z

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This paper cites Scale: Online self- supervised lifelong learning without prior knowledge.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Scale: Online self- supervised lifelong learning without prior knowledge

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.376025Z

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Observation 45c37a42-f98c-4675-9154-4c5d4494d914 · outbound

This paper cites Individual emotion recog- nition and subgroup analysis from psychophysiological signals.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Individual emotion recog- nition and subgroup analysis from psychophysiological signals

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.360371Z

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Observation 542e8ed6-e7fe-464b-a8e7-8767e41e83c7 · outbound

This paper cites Im- proving task-free continual learning by distributionally robust memory 26 evolution, in: International Conference on Machine Learning.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Im- proving task-free continual learning by distributionally robust memory 26 evolution, in: International Conference on Machine Learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.408716Z

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This paper cites Plug-and-play domain adaptation for cross-subject eeg-based emotion recognition, in: AAAI Conference on Artificial Intelligence.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Plug-and-play domain adaptation for cross-subject eeg-based emotion recognition, in: AAAI Conference on Artificial Intelligence

Reference 45

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This paper cites Ganser: A self-supervised data augmentation framework for eeg-based emotion recognition.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Ganser: A self-supervised data augmentation framework for eeg-based emotion recognition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.343239Z

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Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Unresolved cited work

Reference 155

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d57c3828-8d17-4cba-8b9c-7d57a86dc8d5 · outbound

This paper cites 2022 26th International Conference on Pattern Recogni- tion (ICPR) , 2605–2612URL: https://api.semanticscholar.org/ CorpusID:248084923.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning 2022 26th International Conference on Pattern Recogni- tion (ICPR) , 2605–2612URL: https://api.semanticscholar.org/ CorpusID:248084923

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.442715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce6e3c20-4191-4ff2-85b4-b9eb0edebdda · outbound

This paper cites Information Fusion 102, 102019.

Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning Information Fusion 102, 102019

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:47:24.699620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 22b15387-cb06-42b0-889e-da81d8522c11 · inbound

Adaptive XAI in High Stakes Environments: Modeling Swift Trust with Multimodal Feedback in Human AI Teams cites this paper.

Adaptive XAI in High Stakes Environments: Modeling Swift Trust with Multimodal Feedback in Human AI Teams Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:35:18.831632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.