Paper Citation Record · LEDGER

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2508.09478.

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

pith.paper-citation-record.v1
2508.09478 v2

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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

Source: cited_works

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54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation dc494bec-b5b9-4d88-a719-2b0a93bd14dd · outbound

This paper cites Activity segmentation and identification based on eye gaze features.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Activity segmentation and identification based on eye gaze features

Reference 1

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Observation d1db6913-6c43-4b9f-9839-3c1f3c506f02 · outbound

This paper cites Gazediff: A radiologist visual attention guided diffusion model for zero-shot disease classification.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Gazediff: A radiologist visual attention guided diffusion model for zero-shot disease classification

Reference 2

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Observation fe4696ad-4ddb-4b28-8e08-256bdcadcb24 · outbound

This paper cites Gazeradar: A gaze and radiomics-guided disease localization framework.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Gazeradar: A gaze and radiomics-guided disease localization framework

Reference 3

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Observation 8cfd8a5d-fe79-4f05-8997-761ba0644505 · outbound

This paper cites Radiotransformer: a cascaded global-focal transformer for visual attention--guided disease classification.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Radiotransformer: a cascaded global-focal transformer for visual attention--guided disease classification

Reference 4

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Observation 5ab70aec-0517-41f1-8c38-c0b33eb0d174 · outbound

This paper cites RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:42.046613Z

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Observation 275392c7-aedd-4650-bd3b-52ac3ed6b1dd · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Learning imbalanced datasets with label-distribution-aware margin loss

Reference 6

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Observation 748838ed-b2c2-4caa-aec6-638eff5b5adc · outbound

This paper cites Human gaze-aware attentive object detection for ambient intelligence.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Human gaze-aware attentive object detection for ambient intelligence

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:53.162113Z

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Observation 40dfe4a7-3a93-409e-a0f9-46bc26e5bd2f · outbound

This paper cites The potential and value of objective eye tracking in the ophthalmology clinic.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs The potential and value of objective eye tracking in the ophthalmology clinic

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.936098Z

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Observation 7716f054-b421-4c3f-ac75-dc030fc1cd8b · outbound

This paper cites Activity recognition using eye-gaze movements and traditional interactions.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Activity recognition using eye-gaze movements and traditional interactions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:52.659384Z

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Observation 5d13e312-3ab7-446a-bfb0-1d878281d438 · outbound

This paper cites Class-balanced loss based on effective number of samples.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Class-balanced loss based on effective number of samples

Reference 10

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Observation cf4747aa-24f6-4c23-a1e3-d19eb1eb9631 · outbound

This paper cites Understanding attentional modulation of binocular rivalry: a framework based on biased competition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Understanding attentional modulation of binocular rivalry: a framework based on biased competition

Reference 11

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Observation 126a1a0e-46e0-48af-aa84-9c227c56aa2e · outbound

This paper cites One visual search, many memory searches: An eye-tracking investigation of hybrid search.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs One visual search, many memory searches: An eye-tracking investigation of hybrid search

Reference 12

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Observation 0a0c501c-28c1-4837-af74-cc0eadc77fca · outbound

This paper cites The foundations of cost-sensitive learning.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs The foundations of cost-sensitive learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:51.832253Z

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Observation fe56e0b2-29dc-4dd6-a9c6-d87753995946 · outbound

This paper cites A multiple resampling method for learning from imbalanced data sets.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs A multiple resampling method for learning from imbalanced data sets

Reference 14

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Observation 23aa09c0-4dc9-481f-8fcf-c0331eb154ce · outbound

This paper cites Clinical artificial intelligence quality improvement: towards continual monitoring and updating of ai algorithms in healthcare.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Clinical artificial intelligence quality improvement: towards continual monitoring and updating of ai algorithms in healthcare

Reference 15

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Observation 5c6589f8-e24b-4877-bcbf-e942b6a784ef · outbound

This paper cites Interactive few-shot learning: Limited supervision, better medical image segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Interactive few-shot learning: Limited supervision, better medical image segmentation

Reference 16

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Observation c295f517-b3fe-4ff8-a083-e6df5a9a2784 · outbound

This paper cites Attentional mechanisms for socially interactive robots--a survey.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Attentional mechanisms for socially interactive robots--a survey

Reference 17

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Observation c50b0701-bc77-462e-9b4c-00c210737b0c · outbound

This paper cites Balanced-mixup for highly imbalanced medical image classification.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Balanced-mixup for highly imbalanced medical image classification

Reference 18

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Observation 75a8a395-3526-4aa3-b01c-8ba486eac5cf · outbound

This paper cites Long-tailed classification of thorax diseases on chest x-ray: A new benchmark study.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Long-tailed classification of thorax diseases on chest x-ray: A new benchmark study

Reference 19

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Observation d45cf02e-19fe-467f-86c6-406b0f9788cf · outbound

This paper cites Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Rethinking class-balanced methods for long-tailed visual recognition from a domain adaptation perspective

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:49.804075Z

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Observation a0336edc-32e1-4752-8c4f-f50511a8b821 · outbound

This paper cites Eye-gaze driven surgical workflow segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Eye-gaze driven surgical workflow segmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:49.459188Z

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Observation f7ca23fd-99da-40c4-98e3-017e6b9a71f8 · outbound

This paper cites Visual saliency detection by integrating spatial position prior of object with background cues.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Visual saliency detection by integrating spatial position prior of object with background cues

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:49.201014Z

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Observation 1ed61a51-0fbe-447c-a1f7-092a987e0b08 · outbound

This paper cites Relational subsets knowledge distillation for long-tailed retinal diseases recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Relational subsets knowledge distillation for long-tailed retinal diseases recognition

Reference 23

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Observation bcf9ccbe-d21f-44a7-a8a3-ca005c7abcf2 · outbound

This paper cites Spatial and visual working memory: A mental workspace.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Spatial and visual working memory: A mental workspace

Reference 24

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Observation fc9a4d31-44ea-4d38-86f1-36bb4427e062 · outbound

This paper cites Eye-gaze-guided vision transformer for rectifying shortcut learning.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Eye-gaze-guided vision transformer for rectifying shortcut learning

Reference 25

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Observation 28b20e72-8587-4893-98d1-ac92e8461829 · outbound

This paper cites Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Actions in the eye: Dynamic gaze datasets and learnt saliency models for visual recognition

Reference 26

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Observation a255bf6c-ae79-4b28-8c41-70aa5f68a9dc · outbound

This paper cites Integrating human gaze into attention for egocentric activity recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Integrating human gaze into attention for egocentric activity recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:47.868418Z

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Observation 1f02a66d-c1f5-4326-9366-09c9b02e582b · outbound

This paper cites Robust asymmetric loss for multi-label long-tailed learning.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Robust asymmetric loss for multi-label long-tailed learning

Reference 28

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Observation 7d9b1f29-4b71-4812-8805-15a382c7dbcf · outbound

This paper cites Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self-training.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self-training

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:47.276809Z

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Observation 32e377dc-1768-42a8-9abb-bc35c201fb3d · outbound

This paper cites Balanced meta-softmax for long-tailed visual recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Balanced meta-softmax for long-tailed visual recognition

Reference 30

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Observation 49ac32bf-dfad-4b4b-a32e-30e593fabfce · outbound

This paper cites Eye tracking validation: Improving radiologist reporting and interpretation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Eye tracking validation: Improving radiologist reporting and interpretation

Reference 31

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Observation 70c9d1cb-1c1f-4df5-aac9-133e6d086073 · outbound

This paper cites Svd-clahe boosting and balanced loss function for covid-19 detection from an imbalanced chest x-ray dataset.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Svd-clahe boosting and balanced loss function for covid-19 detection from an imbalanced chest x-ray dataset

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:46.250306Z

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Observation 2f32374d-9e85-4d61-837a-baa7b6c6481a · outbound

This paper cites Transparency of deep neural networks for medical image analysis: A review of interpretability methods.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Transparency of deep neural networks for medical image analysis: A review of interpretability methods

Reference 33

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Observation 4f84cfac-a498-4d93-9493-a7e78682cb5a · outbound

This paper cites Action is in the eye of the beholder: Eye-gaze driven model for spatio-temporal action localization.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Action is in the eye of the beholder: Eye-gaze driven model for spatio-temporal action localization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:45.972785Z

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Observation 5f75023c-865d-485c-acd0-1feed0996d54 · outbound

This paper cites Gaze-based object segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Gaze-based object segmentation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:45.850979Z

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Observation 9faf5a71-663b-4f11-a8a9-537e8c412260 · outbound

This paper cites Universal loss reweighting to balance lesion size inequality in 3d medical image segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Universal loss reweighting to balance lesion size inequality in 3d medical image segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:45.704931Z

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This paper cites Gaze locking: passive eye contact detection for human-object interaction.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Gaze locking: passive eye contact detection for human-object interaction

Reference 37

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Observation a843a5b4-4f81-4a57-b9c9-34dc0aec02c4 · outbound

This paper cites Understanding cardiology practitioners’ interpretations of electrocardiograms: An eye-tracking study.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Understanding cardiology practitioners’ interpretations of electrocardiograms: An eye-tracking study

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:45.402931Z

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Observation f89201d7-9e2c-4691-b7d4-5cc93b56f7a5 · outbound

This paper cites Integrating eye tracking and speech recognition accurately annotates mr brain images for deep learning: proof of principle.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Integrating eye tracking and speech recognition accurately annotates mr brain images for deep learning: proof of principle

Reference 39

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Observation cdcc6f91-4cb8-422d-89e4-82fa11dfffe3 · outbound

This paper cites Digital pathology: the effect of experience on visual search behavior.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Digital pathology: the effect of experience on visual search behavior

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:45.026990Z

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Observation 91c60048-07c8-4511-a896-80c087d2491c · outbound

This paper cites Interpretation of a 12-lead electrocardiogram by medical students: quantitative eye-tracking approach.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Interpretation of a 12-lead electrocardiogram by medical students: quantitative eye-tracking approach

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:44.777665Z

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Observation b752fef7-3916-4648-bed4-39f20dc2eadc · outbound

This paper cites Equalization loss for long-tailed object recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Equalization loss for long-tailed object recognition

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:44.534679Z

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This paper cites Equalization loss v2: A new gradient balance approach for long-tailed object detection.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Equalization loss v2: A new gradient balance approach for long-tailed object detection

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:44.290745Z

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Observation ec299356-8782-45bb-b681-f36bc01a93c2 · outbound

This paper cites How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs How visual search relates to visual diagnostic performance: a narrative systematic review of eye-tracking research in radiology

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:44.088012Z

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Observation a6c59050-743b-4add-ba6b-1a39a6ed1e52 · outbound

This paper cites GazeSAM: What You See is What You Segment.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs GazeSAM: What You See is What You Segment

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:41.852038Z

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Observation a88684ed-eb76-47f9-8f55-7918c46bf08e · outbound

This paper cites Gazegnn: A gaze-guided graph neural network for chest x-ray classification.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Gazegnn: A gaze-guided graph neural network for chest x-ray classification

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:43.925517Z

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Observation 214086cd-1d18-46f5-80eb-378577f88921 · outbound

This paper cites The devil is in classification: A simple framework for long-tail instance segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs The devil is in classification: A simple framework for long-tail instance segmentation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:43.731471Z

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Observation b71bfa06-84ba-4830-908e-1891c6d95b1c · outbound

This paper cites Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:43.457989Z

Source-reported events for the cited work

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Observation cc6bd471-22e0-4e58-ad2c-5c0536403a13 · outbound

This paper cites Toward multicenter skin lesion classification using deep neural network with adaptively weighted balance loss.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Toward multicenter skin lesion classification using deep neural network with adaptively weighted balance loss

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:43.236749Z

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Observation 5acc3fa8-a79c-4808-a3cb-3b749c5db0fc · outbound

This paper cites Diagnostic error and bias in the department of radiology: a pictorial essay.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Diagnostic error and bias in the department of radiology: a pictorial essay

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:43.002854Z

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Observation f98e4fe4-614b-4045-815d-30cc5bf67826 · outbound

This paper cites Mbnm: multi-branch network based on memory features for long-tailed medical image recognition.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Mbnm: multi-branch network based on memory features for long-tailed medical image recognition

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:42.771984Z

Source-reported events for the cited work

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Observation 56e0eba4-b507-4653-98ab-05d988590990 · outbound

This paper cites Deep long-tailed learning: A survey.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Deep long-tailed learning: A survey

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:42.569102Z

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Observation 9522220f-59a7-4d8b-b7b0-9fd13fcff674 · outbound

This paper cites Learning fast sample re-weighting without reward data.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs Learning fast sample re-weighting without reward data

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:42.421305Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 650b9762-e45a-4635-8ae2-0528db91b937 · outbound

This paper cites A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises.

GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:08:42.223847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation ecb93901-7e3c-433a-9fae-71efbc183929 · inbound

Pathologist Attention-Aligned Report Generation for Prostate Histopathology cites this paper.

Pathologist Attention-Aligned Report Generation for Prostate Histopathology GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs

Reference 4

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