Paper Citation Record · LEDGER

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning

As of 16 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.15470.

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

pith.paper-citation-record.v1
2507.15470 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:36:55.181422Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy31
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 19039335-f54e-42bf-9071-a611c7f7d9e4 · outbound

This paper cites Human-machine interaction and driver monitoring systems,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Human-machine interaction and driver monitoring systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.460064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae06f30f-b2f7-41a1-912d-bcc0a7b04a21 · outbound

This paper cites Federated learning for comfort features in vehicles with collaborative sensing: A review,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Federated learning for comfort features in vehicles with collaborative sensing: A review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.444646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be979b05-712f-4b48-83bd-a08791b52319 · outbound

This paper cites Personalized comfort features in software-defined vehicles using federated learning,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Personalized comfort features in software-defined vehicles using federated learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.428590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b745c45-7e2f-43fc-a380-06943fc47e93 · outbound

This paper cites Challenges in facial emotion recognition under real-world variability,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Challenges in facial emotion recognition under real-world variability,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.412257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 582b0c63-642c-44ee-bd8f-9f152205bad7 · outbound

This paper cites Privacy and security in emotion recognition systems: A review,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Privacy and security in emotion recognition systems: A review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.393797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 411ffae7-23e8-4c31-9379-1df967b776f3 · outbound

This paper cites Federated learning for privacy-preserving emo- tion recognition from multimodal data,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Federated learning for privacy-preserving emo- tion recognition from multimodal data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.376784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88d717d7-3290-4cfc-a3cc-ea329a340553 · outbound

This paper cites Decentralized online federated g-network learning for lightweight intrusion detection,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Decentralized online federated g-network learning for lightweight intrusion detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.361290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0f77e53c-8047-4e87-afeb-394a8d0409c4 · outbound

This paper cites Using federated learning in the context of software-defined mobility systems for predictive quality of service,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Using federated learning in the context of software-defined mobility systems for predictive quality of service,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.346547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6d5d918-c0b0-444a-be66-70cb668c5f28 · outbound

This paper cites Affectnet: A database for facial expression, valence, and arousal computing,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Affectnet: A database for facial expression, valence, and arousal computing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.330384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e5ab5b57-204a-4e7a-a710-4f12e8af043d · outbound

This paper cites Multimodal emotion recognition using deep learning: A survey,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Multimodal emotion recognition using deep learning: A survey,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.313921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a691329d-3256-4e94-adfc-5e4fb4358ec8 · outbound

This paper cites Fed-phyers: A federated learn- ing approach for multimodal emotion recognition using physiological signals,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Fed-phyers: A federated learn- ing approach for multimodal emotion recognition using physiological signals,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.299224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28ae4f55-33a7-47ef-b4c9-5ca9f7d833b7 · outbound

This paper cites Automotive ai.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Automotive ai

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.281256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0c840047-f522-482a-95d9-dd82693159bf · outbound

This paper cites Seeing machines driver monitoring technology: A real-world application,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Seeing machines driver monitoring technology: A real-world application,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.260628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71952359-4857-465f-bd3d-ef2648676454 · outbound

This paper cites Active health monitor- ing solutions,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Active health monitor- ing solutions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.242230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 767a23f0-cf48-4915-811d-eee8eac4451f · outbound

This paper cites Real-world challenges in facial emotion recognition: A comprehensive survey,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Real-world challenges in facial emotion recognition: A comprehensive survey,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.225329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6ddf19c-967e-4565-90d1-60df1ef1c71d · outbound

This paper cites Physiological signal analysis for emotion recognition using random forest and feature selection,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Physiological signal analysis for emotion recognition using random forest and feature selection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:59.063070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f859c1ba-5e84-4c9d-9d75-2dea1febe715 · outbound

This paper cites Privacy and ethical concerns in in-vehicle emotion tracking technologies,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Privacy and ethical concerns in in-vehicle emotion tracking technologies,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:58.743964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01af4682-aece-43b8-9291-c46505cc85f0 · outbound

This paper cites Multimodal fusion of physio- logical and visual cues for real-time driver emotion detection,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Multimodal fusion of physio- logical and visual cues for real-time driver emotion detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:58.514865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9540a4c4-9d3d-4852-9a79-3eb1deb8475c · outbound

This paper cites Emotion recognition using physiological signals: A review,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Emotion recognition using physiological signals: A review,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:58.295760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 565680f8-d9cb-49d5-844d-076c8667bb74 · outbound

This paper cites Facial expression recognition: A literature review,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Facial expression recognition: A literature review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:58.029395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8f87c7c-5c50-42e9-bb7d-f9086809271d · outbound

This paper cites End-to-end deep learning for emotion recognition in the wild,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning End-to-end deep learning for emotion recognition in the wild,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:57.797168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e6259136-168f-400e-9cf2-598d066ab29e · outbound

This paper cites Deep convolutional neural networks for emotion recognition: A survey,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Deep convolutional neural networks for emotion recognition: A survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:57.518702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01543222-32eb-45a9-b94e-eea73fb5f3d5 · outbound

This paper cites PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition

Reference 23

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Source-reported events for the cited work

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Observation 5bdf4981-e758-4ce2-ac13-6356cdfe0101 · outbound

This paper cites Multimodal emotion recognition using visual, vocal and physiological signals: a review,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Multimodal emotion recognition using visual, vocal and physiological signals: a review,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:57.250940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e237cd8c-d5d8-4f39-a0ec-35e9d6a407cd · outbound

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

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:36:54.257534Z

Source-reported events for the cited work

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Observation 57e7268a-15f6-4a55-b170-193685e26946 · outbound

This paper cites Fed-phyers: Federated learning- based multi-modal emotion recognition using physiological signals,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Fed-phyers: Federated learning- based multi-modal emotion recognition using physiological signals,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:57.026565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32d2a3ab-53d7-4394-a8b8-b2b844f46abd · outbound

This paper cites Federated learning for eeg-based emotion recognition,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Federated learning for eeg-based emotion recognition,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:56.764946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ada34366-6ad8-42b5-9331-c7a38ea12c54 · outbound

This paper cites Fedcmd: Federated cross-modal distillation for driver emotion recognition,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Fedcmd: Federated cross-modal distillation for driver emotion recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:56.572354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 905b0fb0-11c7-4084-a477-99d20bcdb7bd · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Flower: A Friendly Federated Learning Research Framework

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:36:54.686236Z

Source-reported events for the cited work

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Observation 31a8a3ca-1229-4b69-bc16-a90040509e7e · outbound

This paper cites Challenges in representation learning: A report on three machine learning contests,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Challenges in representation learning: A report on three machine learning contests,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:56.351525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5722e6a-d993-4c1f-b346-8a97d7cae4fa · outbound

This paper cites Training deep networks for facial expression recognition with crowd-sourced label distribution,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Training deep networks for facial expression recognition with crowd-sourced label distribution,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:56.139885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e250169-b4c8-4177-bd51-3045edac08fe · outbound

This paper cites A hybrid framework for latency compensation in remote testing of automotive electronic control units,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning A hybrid framework for latency compensation in remote testing of automotive electronic control units,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:55.983267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bbc9a583-2d3e-47a6-94e0-a5775085d225 · outbound

This paper cites Syncfed: Time- aware federated learning through explicit timestamping and synchro- nization,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Syncfed: Time- aware federated learning through explicit timestamping and synchro- nization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:55.695037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87c4eae8-138d-4c7a-8bf1-6c38b9766c9a · outbound

This paper cites Distributed integration of electronic control units for automotive oems: Challenges, vision, and research directions,.

FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning Distributed integration of electronic control units for automotive oems: Challenges, vision, and research directions,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:36:55.474629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.