Paper Citation Record · LEDGER

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction

As of 24 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.18671.

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

pith.paper-citation-record.v1
2607.18671 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:45:03.396608Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 25db5148-e097-4dce-876d-6f72d03076db · outbound

This paper cites an unresolved cited work.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T14:44:59.591591Z

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Observation 0500f38e-b3e5-48cc-afe1-1df85810b1d2 · outbound

This paper cites Deap: A database for emotion analysis using physiological signals,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Deap: A database for emotion analysis using physiological signals,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:44:59.693181Z

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Observation f9e8ecd1-0f1c-481a-9957-414b11320ad3 · outbound

This paper cites Differential entropy feature for eeg-based emotion classification,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Differential entropy feature for eeg-based emotion classification,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T14:44:59.883691Z

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Observation 74d576da-3c26-4d3a-aee0-e4e0e685f41a · outbound

This paper cites Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.002770Z

Source-reported events for the cited work

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Observation c3dc299a-43d6-464b-8b26-e8af6436544e · outbound

This paper cites Eegnet: A compact convolutional neural network for eeg-based brain–computer interfaces,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eegnet: A compact convolutional neural network for eeg-based brain–computer interfaces,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.175898Z

Source-reported events for the cited work

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Observation 9458c214-20d8-43a9-960a-87de756a07aa · outbound

This paper cites Eeg emotion recognition using dynamical graph convolutional neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.307584Z

Source-reported events for the cited work

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Observation 7c635c4d-68fb-4833-81e9-42657751bd11 · outbound

This paper cites Eeg-based emotion recognition using regularized graph neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eeg-based emotion recognition using regularized graph neural networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.433449Z

Source-reported events for the cited work

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Observation d42bcb89-2639-485f-87f2-d67f5c80430a · outbound

This paper cites Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Seed-vii: A multimodal dataset of six basic emotions with continuous labels for emotion recognition,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.601356Z

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Observation 2aabcd88-5382-4f93-934e-13d000ba195a · outbound

This paper cites EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.736534Z

Source-reported events for the cited work

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Observation a1dd8eeb-672e-4553-8f04-a76387c07b5f · outbound

This paper cites Attention is all you need,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Attention is all you need,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:00.987466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d59ec08-8414-4d51-9000-e5086cc197be · outbound

This paper cites Neural discrete representation learning,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Neural discrete representation learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.177747Z

Source-reported events for the cited work

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Observation e194852b-4ee9-496c-a621-ba65363ea306 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.253910Z

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Observation 878c73f6-21f0-4f03-af77-8df95e80ed37 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Masked au- toencoders are scalable vision learners,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.369188Z

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Observation 2edaddef-8ee3-4ce1-9d3a-10a4dc22726b · outbound

This paper cites Duration neglect in retrospective evaluations of affective episodes,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Duration neglect in retrospective evaluations of affective episodes,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.433911Z

Source-reported events for the cited work

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Observation c42f81ef-c5e2-458e-acce-f89c8a96c937 · outbound

This paper cites Patients’ memories of painful medical treatments: Real-time and retrospective evaluations of two minimally invasive procedures,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Patients’ memories of painful medical treatments: Real-time and retrospective evaluations of two minimally invasive procedures,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.559428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8636a3a7-94a6-434e-82e9-3311d453a688 · outbound

This paper cites Eeg-based emotion recognition using frequency domain features and support vector machines,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eeg-based emotion recognition using frequency domain features and support vector machines,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.690641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ae3e96c-f573-489c-a1f4-fa12d9496f5c · outbound

This paper cites Eeg emotion recognition using dynamical graph convolutional neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.805810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da072755-8ee9-4a53-b029-550b52a644bc · outbound

This paper cites Eeg-based emotion recognition using regularized graph neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Eeg-based emotion recognition using regularized graph neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.876354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28080e97-0e5d-4af9-8dc2-fec1fb7fe7c5 · outbound

This paper cites Domain-adversarial training of neural networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Domain-adversarial training of neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:01.953531Z

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Observation 16d79987-51f8-454d-ba2d-3412711b6de7 · outbound

This paper cites Learning transferable features with deep adaptation networks,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Learning transferable features with deep adaptation networks,

Reference 20

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Observation b22b0a51-626d-487a-be8d-a50e88e10591 · outbound

This paper cites Deep coral: Correlation alignment for deep domain adaptation,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Deep coral: Correlation alignment for deep domain adaptation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.125166Z

Source-reported events for the cited work

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Observation 63f46066-f841-4b03-9f02-a5ac495402ca · outbound

This paper cites Intensity profiles of emotional experience over time,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Intensity profiles of emotional experience over time,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.198837Z

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Observation 280b16b1-08fa-4e5b-bda9-8f8a65923345 · outbound

This paper cites Emotion dynamics,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Emotion dynamics,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.258539Z

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Observation aff35a4d-6500-47fa-bc6b-49795a7a1c3a · outbound

This paper cites Mgeed: A multimodal genuine emotion and expression detection database,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Mgeed: A multimodal genuine emotion and expression detection database,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.417287Z

Source-reported events for the cited work

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Observation 7a435433-e34d-4e6d-b598-844fb903214f · outbound

This paper cites From coarse to fine-grained emotion annotation: An immediate recall paradigm with validation through physiological evidence and recognition performance,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction From coarse to fine-grained emotion annotation: An immediate recall paradigm with validation through physiological evidence and recognition performance,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.538234Z

Source-reported events for the cited work

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Observation e1de133e-82dc-4756-bff2-b7151e53ff4e · outbound

This paper cites E- time: Emotion trend inspired multi-task sparse mask neural network for multimodal emotion recognition,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction E- time: Emotion trend inspired multi-task sparse mask neural network for multimodal emotion recognition,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.580086Z

Source-reported events for the cited work

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Observation 6d157092-5ea8-4ab9-aa4e-8bd5bde44a77 · outbound

This paper cites Do emotions last longer than moods?.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Do emotions last longer than moods?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.644303Z

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Observation 3e1e8a4f-5820-487b-b2bc-b6a88b1f1aec · outbound

This paper cites Determinants of the shape of emotion intensity profiles,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Determinants of the shape of emotion intensity profiles,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.738243Z

Source-reported events for the cited work

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Observation f3d7c71d-afdf-41e3-8c87-22b625f1ad5a · outbound

This paper cites Experiences extended across time: Evalua- tion of moments and episodes,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Experiences extended across time: Evalua- tion of moments and episodes,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.841489Z

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Observation c5f5cd8e-1184-4637-a850-0ad176be21fc · outbound

This paper cites When more pain is preferred to less: Adding a better end,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction When more pain is preferred to less: Adding a better end,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:02.970786Z

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Observation e621f651-42d1-4b07-a87e-62434c94f1f9 · outbound

This paper cites Gestalt characteristics of experiences: The defining features of summarized events,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction Gestalt characteristics of experiences: The defining features of summarized events,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:03.096465Z

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Observation 5a41e6f0-fc1f-4d37-98b1-57152966be3d · outbound

This paper cites All’s well that ends (and peaks) well? a meta-analysis of the peak-end rule and duration neglect,.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction All’s well that ends (and peaks) well? a meta-analysis of the peak-end rule and duration neglect,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:03.264437Z

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Observation 13906ea3-960a-4f88-8066-af7704240d7d · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T14:45:03.396608Z

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Pith citing papers

No inbound Pith citation observations are available.