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Paper Citation Record · LEDGER

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling

As of 22 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2507.12591.

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

pith.paper-citation-record.v1
2507.12591 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:49:59.019132Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

89 of 89 outbound references displayed

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  • verified fuzzy69
  • unresolved19
  • parse uncertain0
  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17fe6dad-39a8-475d-aeda-f3afa0f1efe1 · outbound

This paper cites Deep-bcn: Deep net- works meet biased competition to create a brain-inspired model of attention control.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Deep-bcn: Deep net- works meet biased competition to create a brain-inspired model of attention control

Reference 1

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Observation 66d4142d-fca3-45b2-beb3-bc9a227a41e4 · outbound

This paper cites Bruno, Eliz- abeth A.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Bruno, Eliz- abeth A

Reference 2

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Observation 86324f32-d881-4a38-bd82-86af33f5a21f · outbound

This paper cites The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling The lung image database con- sortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans

Reference 3

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Observation 858bb3fd-808b-44f2-bd87-19e82e7f08ec · outbound

This paper cites Pathgan: Visual scanpath prediction with generative adversarial networks.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Pathgan: Visual scanpath prediction with generative adversarial networks

Reference 4

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Observation 4c6571f9-8012-412d-837e-e64326d5849e · outbound

This paper cites TempSAL - uncovering temporal information for deep saliency prediction.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling TempSAL - uncovering temporal information for deep saliency prediction

Reference 5

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Observation 564a6168-9984-4296-985f-8fc390750c83 · outbound

This paper cites Reflacx, a dataset of reports and eye-tracking data for local- ization of abnormalities in chest x-rays.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Reflacx, a dataset of reports and eye-tracking data for local- ization of abnormalities in chest x-rays

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e32279a8-33a2-44a9-851b-65c7f7daf81c · outbound

This paper cites Spontaneous eye movements during visual imagery reflect the content of the visual scene.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Spontaneous eye movements during visual imagery reflect the content of the visual scene

Reference 7

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Source-reported events for the cited work

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Observation ba46556a-d1e6-4791-bbf1-ba7df3220134 · outbound

This paper cites End-to- end object detection with transformers.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling End-to- end object detection with transformers

Reference 8

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Observation 731424d8-0c23-4883-bb7e-1e275d8a20b6 · outbound

This paper cites Zelinsky, and Dimitris Samaras.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Zelinsky, and Dimitris Samaras

Reference 9

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Unavailable: canonical work link unavailable.

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Observation 5537bacb-3b3f-49c1-8c5a-ff9457f12cb2 · outbound

This paper cites AiR: At- tention with reasoning capability.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling AiR: At- tention with reasoning capability

Reference 10

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Source-reported events for the cited work

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Observation b447c25f-5ade-4dd3-99a5-0556a681672a · outbound

This paper cites Learning from unique per- spectives: User-aware saliency modeling.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Learning from unique per- spectives: User-aware saliency modeling

Reference 11

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Source-reported events for the cited work

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Observation baef2470-faff-4f29-bec3-ed203b3d86c9 · outbound

This paper cites Predicting hu- man scanpaths in visual question answering.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Predicting hu- man scanpaths in visual question answering

Reference 12

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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.

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Observation d7958713-827f-4989-84ba-2570bcb21747 · outbound

This paper cites Beyond average: Individualized visual scanpath prediction.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Beyond average: Individualized visual scanpath prediction

Reference 13

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Source-reported events for the cited work

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Observation 52970ab9-1f1a-47ef-8beb-69dc4ad22478 · outbound

This paper cites Speech-to-text v2 api.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Speech-to-text v2 api

Reference 14

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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.

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Observation 064f6fa2-97cb-4b43-98c0-a96e0cea2300 · outbound

This paper cites Predicting human eye fixations via an lstm-based saliency attentive model.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Predicting human eye fixations via an lstm-based saliency attentive model

Reference 15

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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.

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Observation dee30dab-05d1-4ca9-9e7f-ebdbaf367501 · outbound

This paper cites Scanmatch: A novel method for comparing fixation sequences.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Scanmatch: A novel method for comparing fixation sequences

Reference 16

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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.

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Observation dd662b15-76a2-4852-87a9-e79a654868f5 · outbound

This paper cites Scanpathnet: A recurrent mixture density network for scanpath prediction.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Scanpathnet: A recurrent mixture density network for scanpath prediction

Reference 17

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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.

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Observation 95d2b379-b3e4-41ad-9bbd-b5c7d840f02b · outbound

This paper cites It de- pends on how you look at it: Scanpath comparison in mul- tiple dimensions with multimatch, a vector-based approach.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling It de- pends on how you look at it: Scanpath comparison in mul- tiple dimensions with multimatch, a vector-based approach

Reference 18

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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.

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Observation 06b4d4ad-2901-4986-afe9-37fcac36f7fa · outbound

This paper cites Tutorial on Variational Autoencoders.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Tutorial on Variational Autoencoders

Reference 19

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Source-reported events for the cited work

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Observation 69018ba9-0800-4c8e-aba1-db879f0690fc · outbound

This paper cites Machine-learning-based multiple abnor- mality prediction with large-scale chest computed tomogra- phy volumes.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Machine-learning-based multiple abnor- mality prediction with large-scale chest computed tomogra- phy volumes

Reference 20

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Observation e56be4c0-dfd1-4233-8a3b-85ee94253e7d · outbound

This paper cites an unresolved cited work.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unresolved cited work

Reference 21

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Observation dec7f53c-291a-4cc5-bd3d-94999108ccd8 · outbound

This paper cites Seltzer, and Jeremy M.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Seltzer, and Jeremy M

Reference 22

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Observation b41ef37e-b3e5-4af9-9af3-2d3f8b7d66c1 · outbound

This paper cites A dataset of eye movements for the children with autism spectrum disorder.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling A dataset of eye movements for the children with autism spectrum disorder

Reference 23

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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.

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Observation f0034da2-c134-4bc5-8859-6cbb5f34bd30 · outbound

This paper cites The role of extra-foveal processing in 3d imaging.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling The role of extra-foveal processing in 3d imaging

Reference 24

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Source-reported events for the cited work

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Observation 1786d451-74c8-447e-8e13-28bde18736e9 · outbound

This paper cites Modelling search for people in 900 scenes: A combined source model of eye guidance.Visual cognition, 17(6-7):945–978, 2009.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Modelling search for people in 900 scenes: A combined source model of eye guidance.Visual cognition, 17(6-7):945–978, 2009

Reference 25

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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.

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Observation 27399371-e58c-47ff-846a-6bbd036c8d2a · outbound

This paper cites Pre- dicting visual importance across graphic design types.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Pre- dicting visual importance across graphic design types

Reference 26

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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.

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Observation c0cb060f-bb89-484b-8493-4cd5bb1961a2 · outbound

This paper cites What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling What can saliency models predict about eye movements? spatial and sequential aspects of fixations during encoding and recognition

Reference 27

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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.

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Observation 4d84835e-038b-434e-a2d6-79a53cc9366a · outbound

This paper cites Pet: An eye-tracking dataset for animal-centric pascal object classes.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Pet: An eye-tracking dataset for animal-centric pascal object classes

Reference 28

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verified fuzzy
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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.

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Observation c0c9e376-85ff-4fec-81f9-f5360de1b9a4 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images

Reference 29

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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.

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Observation de0d3bb3-7b1f-45e6-b4fe-15974b52126d · outbound

This paper cites Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks

Reference 30

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verified fuzzy
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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.

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Observation 12b37eaf-d49e-4f9d-9617-3e303d085d73 · outbound

This paper cites SALICON: Reducing the semantic gap in saliency predic- tion by adapting deep neural networks.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling SALICON: Reducing the semantic gap in saliency predic- tion by adapting deep neural networks

Reference 31

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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.

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Observation f6344b42-6b5e-4300-9f6d-b8252effe2f4 · outbound

This paper cites The use of ma- chine learning in eye tracking studies in medical imaging: A review.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling The use of ma- chine learning in eye tracking studies in medical imaging: A review

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T16:50:09.836482Z

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.

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Observation ccb7c088-1e5b-4220-ae6a-5aa5d340f664 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:09.624964Z

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.

source=pdf_text observed=2026-08-06T16:49:53.273774Z digest=sha256:ffedc37ca50ed943b0d49124cd43419b4477c08a3b31b9ce3ddb9aefbab51407

Observation b3fc5a52-141d-4ed4-bf6b-26477af1343a · outbound

This paper cites A model of saliency-based visual attention for rapid scene analysis.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling A model of saliency-based visual attention for rapid scene analysis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:09.470912Z

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.

source=pdf_text observed=2026-08-06T16:49:53.372368Z digest=sha256:71081a0a3885777e1907ddc07aef07b11ad8d0f4a7850e2f86ed1e169ba9ceff

Observation 4ef4f5f4-1756-4f0b-a6cf-e050c1d781f2 · outbound

This paper cites an unresolved cited work.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:50:09.266056Z

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.

source=pdf_text observed=2026-08-06T16:49:53.451674Z digest=sha256:78a34b199d8f6baa0b062a65f58cdf827575f5e82f656d3c0d3d0d106f8841bf

Observation f499f25b-eb61-4d8e-b6e0-f200e4e114f2 · outbound

This paper cites Salicon: Saliency in context.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Salicon: Saliency in context

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:09.104080Z

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.

source=pdf_text observed=2026-08-06T16:49:53.542533Z digest=sha256:9ff9a3610bbc6da8010fe728c946ccfe26a025dc98418b74f8376548ebca9876

Observation 8ea00e4d-f4a8-4489-9f00-fd5942f18d4a · outbound

This paper cites Leiva, Hamed R.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Leiva, Hamed R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:08.927733Z

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.

source=pdf_text observed=2026-08-06T16:49:53.633264Z digest=sha256:137c888e3933064c794e87d41b4a530c255b16780293b81c0f432f76f4169e2d

Observation b63fb154-21b9-4e05-99e4-deebd3427b0a · outbound

This paper cites Creation and validation of a chest x-ray dataset with eye-tracking and report dictation for ai development.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Creation and validation of a chest x-ray dataset with eye-tracking and report dictation for ai development

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:08.751449Z

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.

source=pdf_text observed=2026-08-06T16:49:53.710932Z digest=sha256:37d9807ed41de3f017a09f64196cca2213e0f6499b8d402fffe4425a94941a3c

Observation f5f8152a-1668-4b08-bd80-92c1c8fd5c26 · outbound

This paper cites A collaborative computer aided diagnosis (c-cad) system with eye-tracking, sparse attentional model, and deep learning.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling A collaborative computer aided diagnosis (c-cad) system with eye-tracking, sparse attentional model, and deep learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:08.599072Z

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.

source=pdf_text observed=2026-08-06T16:49:53.786230Z digest=sha256:474fbc3965d138a17f3a709e4525383667d9e280072a2a58cacdef88520c440b

Observation 77966346-6268-42c3-b7a9-cc7431b5e32f · outbound

This paper cites Perspective projection-based 3d ct recon- struction from biplanar x-rays.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Perspective projection-based 3d ct recon- struction from biplanar x-rays

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:08.394273Z

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.

source=pdf_text observed=2026-08-06T16:49:53.885661Z digest=sha256:bfeb45edb7c03c7df616c6b4d2cac8023a1ad8b65153cc8e56a5f8bc6c8368b5

Observation 91c9e767-6a2b-4e32-b890-715c6b4d39d1 · outbound

This paper cites DeepGaze II: Reading fixations from deep features trained on object recognition.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling DeepGaze II: Reading fixations from deep features trained on object recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:53.992016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:53.992016Z digest=sha256:84993c422ad5cf825b9d06367089dcfc16b4d1d7fe4fef9c4ebfdba866e287ea

Observation 90d7c7b4-9c27-4ea3-b5e8-4f1980e6ebe2 · outbound

This paper cites an unresolved cited work.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:50:08.092933Z

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.

source=pdf_text observed=2026-08-06T16:49:54.073489Z digest=sha256:18df2ed40dc26c64ebd128d4a6c3dd078b48cad8c08147be7be4c66c1360f345

Observation 95a3896b-73a9-4be4-ac10-b293751cdda6 · outbound

This paper cites Methods for compar- ing scanpaths and saliency maps: Strengths and weaknesses.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Methods for compar- ing scanpaths and saliency maps: Strengths and weaknesses

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:07.859277Z

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.

source=pdf_text observed=2026-08-06T16:49:54.186708Z digest=sha256:2233a0d01b34ec23e31af3f1961cdf2a54e05023dd65f0d988230a9e2840e61f

Observation dbc81307-7e24-4a99-94b2-ced9dff7e9ce · outbound

This paper cites Feature pyra- mid networks for object detection.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Feature pyra- mid networks for object detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:07.566918Z

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.

source=pdf_text observed=2026-08-06T16:49:54.258405Z digest=sha256:eaab2783740a0334476c9aef517059d94223f44bed86847c43fb6cea2de7c822

Observation 99f21432-2f3d-43cd-928a-84a41ed178dc · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:54.344174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:54.344174Z digest=sha256:71892a5823cd7d5f28035049e203c39475e363a76501ec841a5f7d84e08d8113

Observation 29372c63-de7e-4ace-a6b2-16b4d30c6961 · outbound

This paper cites Decoupled Weight Decay Regularization.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Decoupled Weight Decay Regularization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:54.479224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:54.479224Z digest=sha256:da18b3a755cfa408b51806568d793d3642e56ab89173d9e5d2f897a62fe8809c

Observation 743dd485-271e-4192-992f-08fc9840efd4 · outbound

This paper cites Eye-Gaze-Guided Vision Transformer for Rectifying Short- cut Learning.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Eye-Gaze-Guided Vision Transformer for Rectifying Short- cut Learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:07.402468Z

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.

source=pdf_text observed=2026-08-06T16:49:54.630347Z digest=sha256:fbebb3cad530359abbc276fad996b0919cba0d9ccb6b946edc44e3f760866b22

Observation 53695795-7f09-418d-8062-26e981d141f3 · outbound

This paper cites Eye- gaze Guided Multi-modal Alignment for Medical Represen- tation Learning, 2024.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Eye- gaze Guided Multi-modal Alignment for Medical Represen- tation Learning, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:07.223680Z

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.

source=pdf_text observed=2026-08-06T16:49:54.759241Z digest=sha256:f211a9fd91769adca5e65457443b998eaab8af3937b457b515ff38e55d4d5bc4

Observation d1eae018-9996-4dfb-af99-361f9e9dba54 · outbound

This paper cites Saccadic model of eye move- ments for free-viewing condition.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Saccadic model of eye move- ments for free-viewing condition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:07.081829Z

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.

source=pdf_text observed=2026-08-06T16:49:54.878207Z digest=sha256:684bfe70ff9daeefbb9c0b502ef988786a6d11cc228a2a3cb1cc0e1b78af66aa

Observation 2417350d-54e9-4bdb-833b-03d2896ef887 · outbound

This paper cites Gazeformer: Scalable, effective and fast prediction of goal-directed hu- man attention.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Gazeformer: Scalable, effective and fast prediction of goal-directed hu- man attention

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:06.821284Z

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.

source=pdf_text observed=2026-08-06T16:49:54.964987Z digest=sha256:48217d86e02e8591f0db119a40eeb8a37c4f1b320ef937bb0318e9261f7332bc

Observation 62945850-5889-4b66-b569-dd6431fa14cc · outbound

This paper cites Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:06.620847Z

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.

source=pdf_text observed=2026-08-06T16:49:55.050496Z digest=sha256:ed490bc59f1527ff74fe23a37c9415534293d5d99a0ef5e0f2bcf762259d84c9

Observation 1cf6b83e-9009-4edf-86c9-de70bd97c27b · outbound

This paper cites Training object class detectors from eye tracking data.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Training object class detectors from eye tracking data

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:06.459773Z

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.

source=pdf_text observed=2026-08-06T16:49:55.154416Z digest=sha256:c535d3c1ee8f5f1121ecedf0bd1745b7d0891fcc0dd80643b6f09524fcce0b3e

Observation 4a8e3cd6-6490-46fb-94ff-0091c8cfeae0 · outbound

This paper cites Lndetector: A flexible gaze characterisation col- laborative platform for pulmonary nodule screening.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Lndetector: A flexible gaze characterisation col- laborative platform for pulmonary nodule screening

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:06.176814Z

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.

source=pdf_text observed=2026-08-06T16:49:55.264169Z digest=sha256:d907a074873178315110d39660309bdd6f148b9e2284c5d7225c878000711b4c

Observation 94615f8b-d23c-4081-ac82-61cd8e096c6c · outbound

This paper cites Eye gaze guided cross-modal alignment network for radiology report generation.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Eye gaze guided cross-modal alignment network for radiology report generation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.942943Z

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.

source=pdf_text observed=2026-08-06T16:49:55.432217Z digest=sha256:2b84a33d7f7e1e221279516966c519a75de515fb34fbea3b886552bba30d222c

Observation f5145678-6870-4cc4-b763-56c6ee12bdfb · outbound

This paper cites I-ai: A controllable & interpretable ai system for decoding radiologists’ intense focus for accu- rate cxr diagnoses.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling I-ai: A controllable & interpretable ai system for decoding radiologists’ intense focus for accu- rate cxr diagnoses

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.744723Z

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.

source=pdf_text observed=2026-08-06T16:49:55.598650Z digest=sha256:e3da92cabe74699d9402a1aad26384ffb02d3648b22b05cfe9ca38118966f187

Observation 7731d124-646e-42dd-8719-ee8870a43eb3 · outbound

This paper cites Wu, Hien Nguyen, and Ngan Le.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Wu, Hien Nguyen, and Ngan Le

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.618095Z

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.

source=pdf_text observed=2026-08-06T16:49:55.727293Z digest=sha256:adf04c44a91fb634dd7968e167ef39ee4971c49d94564a0a5cb9e79c11bc6704

Observation 4d7a414c-1a77-419d-b4e3-3bc58425ef3f · outbound

This paper cites Itpctrl-ai: End- to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Itpctrl-ai: End- to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.455305Z

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.

source=pdf_text observed=2026-08-06T16:49:55.835140Z digest=sha256:ebf273d6c6211c6df63fc3880d509d5c912f95cf65a8f8d9aff625cc2dc37682

Observation 83788f94-6875-4483-938c-29906459c62f · outbound

This paper cites Wu, Hien Nguyen, and Ngan Le.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Wu, Hien Nguyen, and Ngan Le

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.301178Z

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.

source=pdf_text observed=2026-08-06T16:49:55.905503Z digest=sha256:99e4372931fe019cc762fc215c61062113c2bd58aa0ff992fc703a1ca62f69fd

Observation 26c47d8e-dce9-4342-be93-76a0954de79a · outbound

This paper cites Simulating human visual sys- tem based on vision transformer.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Simulating human visual sys- tem based on vision transformer

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:05.137050Z

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.

source=pdf_text observed=2026-08-06T16:49:56.005682Z digest=sha256:3c519452e4905800c2fbd35874f05ef40defc10b5eb92c8c521e5f8ec08edc70

Observation 39b27140-b69c-41f7-8e30-f5aabbf98528 · outbound

This paper cites Medical report generation through radiology images: an overview.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Medical report generation through radiology images: an overview

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:04.973956Z

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.

source=pdf_text observed=2026-08-06T16:49:56.085626Z digest=sha256:7938b01a76c0542d9bb3610cd0214f62af7406348b00c0bf75a1e15d5de624ef

Observation 714a38bf-764a-421c-b823-45e24c0cb960 · outbound

This paper cites Human Attention in Fine-grained Classification.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Human Attention in Fine-grained Classification

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:56.218679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:56.218679Z digest=sha256:41039373e706145c7449fef94b2a90160a04c645cf86ef8623a2c6ba23fa1d7d

Observation 771c4a3e-c49b-4be1-8ec8-b490ca3db9e0 · outbound

This paper cites Ng, and Matthew P.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Ng, and Matthew P

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:04.815152Z

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.

source=pdf_text observed=2026-08-06T16:49:56.300517Z digest=sha256:021e1992b8ab0f20dc602a5bbf35d30433fa0706472a90226c4dfb4e5def6361

Observation 494da711-de5f-4b76-817e-fc8fd8afe997 · outbound

This paper cites An overview of the tesseract ocr engine.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling An overview of the tesseract ocr engine

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:04.690939Z

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.

source=pdf_text observed=2026-08-06T16:49:56.373277Z digest=sha256:41301772025cd8494402fea994379c196bba7531b472bc53166c34f32e32f422

Observation b31db0ab-7b74-469f-882b-06d3335b15c7 · outbound

This paper cites ScanDMM: A deep markov model of scan- path prediction for 360° images.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling ScanDMM: A deep markov model of scan- path prediction for 360° images

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:04.502450Z

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.

source=pdf_text observed=2026-08-06T16:49:56.460382Z digest=sha256:9d2390e85ee43a2f3034f554faf2b48e1d5f9b2a790e801d8d85da67892d1b54

Observation 058f8ccb-c4a5-4351-b4b0-264e76063016 · outbound

This paper cites Visual scan- path prediction using IOR-ROI recurrent mixture density network.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Visual scan- path prediction using IOR-ROI recurrent mixture density network

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:04.268001Z

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.

source=pdf_text observed=2026-08-06T16:49:56.573167Z digest=sha256:61f2252a7daae6422e5ce1bafb30a922b69a7fa8881a2fb2226c1d8fc619128e

Observation 2d86618f-6b55-4730-87bf-df1417aea69c · outbound

This paper cites Artificially generated visual scanpath improves multi-label thoracic disease classification in chest x-ray images.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Artificially generated visual scanpath improves multi-label thoracic disease classification in chest x-ray images

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:03.987622Z

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.

source=pdf_text observed=2026-08-06T16:49:56.666201Z digest=sha256:c5a106be75d6d1cd348ec5cd9313040b7248ea0b4b6b85e53cac0d1b7856f98c

Observation a51442bd-a5d4-486b-9027-a91743b6439b · outbound

This paper cites Interpretive Error in Radi- ology.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Interpretive Error in Radi- ology

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:03.694126Z

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.

source=pdf_text observed=2026-08-06T16:49:56.785762Z digest=sha256:6205b6683e624d447d669a900579aa61778f37100027380aa2b968cf8b656c8f

Observation 0fcac1c7-c1b6-4145-9160-e81a14032d1b · outbound

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

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Gazegnn: A gaze- guided graph neural network for chest x-ray classification

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:03.467829Z

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.

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Observation 9984839b-093d-4782-80cf-47562401d992 · outbound

This paper cites Laugeson, Daniel P.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Laugeson, Daniel P

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:03.187952Z

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.

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Observation d4117316-e868-4fad-87ba-2c52a1cb1087 · outbound

This paper cites Follow my eye: Using gaze to supervise computer-aided diagnosis.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Follow my eye: Using gaze to supervise computer-aided diagnosis

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:02.995338Z

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.

source=pdf_text observed=2026-08-06T16:49:57.070130Z digest=sha256:66b174dac4066b4fbc8d42392c4dda4bdaeeea9960aef3c4aeb8d2be694bab03

Observation c2da3668-fb0f-4bf6-99dd-763ce473f0af · outbound

This paper cites Simulating human saccadic scanpaths on natural images.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Simulating human saccadic scanpaths on natural images

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:02.785316Z

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.

source=pdf_text observed=2026-08-06T16:49:57.153601Z digest=sha256:c1d486fa0d1f98fa280208814d48eb43398bc79a20f0b11308810c81f988bef8

Observation 966d248c-1c5e-440e-9446-23b32b0a1c8b · outbound

This paper cites Learned region sparsity and diversity also predict visual attention.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Learned region sparsity and diversity also predict visual attention

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:02.587047Z

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.

source=pdf_text observed=2026-08-06T16:49:57.249319Z digest=sha256:c429f9698e04b37cfb6aee5068266b2efd9da1d0390cbbc614154c14e0c16073

Observation 3b71ecfb-c788-4ff5-abc2-6ae261af34c9 · outbound

This paper cites an unresolved cited work.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:50:02.377501Z

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.

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Observation f043f881-dd48-404c-be4e-5f67264f1cae · outbound

This paper cites Kankanhalli, and Qi Zhao.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Kankanhalli, and Qi Zhao

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:02.131193Z

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.

source=pdf_text observed=2026-08-06T16:49:57.463654Z digest=sha256:ff27e2e6a731667b3201efc168fcd4d4763962ca3e84e24c66df5826780fcdb0

Observation 109f3942-d8e6-47ab-8f78-5b006945f0c8 · outbound

This paper cites Vitae: Vision transformer advanced by exploring intrinsic inductive bias.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Vitae: Vision transformer advanced by exploring intrinsic inductive bias

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:01.963145Z

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.

source=pdf_text observed=2026-08-06T16:49:57.574231Z digest=sha256:c9184c4103602f3a23e311b442ebd8c258ba58ff6b4d80621723b1c9558c5525

Observation 0201efb8-b7dc-401f-b9dd-9cee4ccddb23 · outbound

This paper cites Predicting goal-directed human attention using inverse reinforcement learning.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Predicting goal-directed human attention using inverse reinforcement learning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:01.753774Z

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.

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Observation 126f6a22-c25d-4b14-a99b-596afada4166 · outbound

This paper cites Target-absent 11 human attention.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Target-absent 11 human attention

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:01.533979Z

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.

source=pdf_text observed=2026-08-06T16:49:57.823072Z digest=sha256:d847268d3232f77e1abaa4b4ee082302563231c8de4de680d240643f98549a0b

Observation b809d5ec-38d5-4ec9-a1ce-60fc123e0b84 · outbound

This paper cites Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:57.930125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:49:57.930125Z digest=sha256:0411da70286783e0d1701c4c6da517b1a54a4470b6b3b16a5ad19ef66a7f9bab

Observation 9911886a-1305-432d-a325-e93192f79fb6 · outbound

This paper cites Unify- ing top-down and bottom-up scanpath prediction using trans- formers.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Unify- ing top-down and bottom-up scanpath prediction using trans- formers

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:01.354450Z

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.

source=pdf_text observed=2026-08-06T16:49:58.035826Z digest=sha256:be21d07167de6b4aa8b37b06d8d3baf11cbbbcee55a4b4718183ce528969db15

Observation a1ee0bc7-dfa9-49da-b9a2-a871f2e621b9 · outbound

This paper cites Benchmarking gaze prediction for categori- cal visual search.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Benchmarking gaze prediction for categori- cal visual search

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:01.202013Z

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.

source=pdf_text observed=2026-08-06T16:49:58.139040Z digest=sha256:71cf0f6d5d6185b1abdc65555742617a3d2a36a1c4cd9f04f479046bd3172820

Observation eda4c9a7-c507-4f76-865d-c951c9a69c4b · outbound

This paper cites Finding any waldo with zero- shot invariant and efficient visual search.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Finding any waldo with zero- shot invariant and efficient visual search

Reference 81

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T16:50:00.981852Z

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.

source=pdf_text observed=2026-08-06T16:49:58.242637Z digest=sha256:ec6886311fa5c75034ac261bd597dfc18f2e475d858eb8d13265779cc02ab50f

Observation a28b1d50-ca04-4762-b982-d073b197d9e3 · outbound

This paper cites In the original 2D version, this step divides the image into patches.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling In the original 2D version, this step divides the image into patches

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:00.848206Z

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.

source=pdf_text observed=2026-08-06T16:49:58.351662Z digest=sha256:91585378377e87ca84444fb0cb1a8bc95cacb24ddec16f765d839291e9accf44

Observation e6a5a86a-4149-430b-8313-d46c4d83063e · outbound

This paper cites In our 3D adapted SED, we change the step 1.a from 2D into 3D, the other steps are left as is.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling In our 3D adapted SED, we change the step 1.a from 2D into 3D, the other steps are left as is

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:00.658379Z

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.

source=pdf_text observed=2026-08-06T16:49:58.447830Z digest=sha256:431a16f0434d69c095f7c5fb9eca31d02afc355aa96c1ab77c2f4e5806a0f3b1

Observation 17b06fe2-86b2-47cd-913f-80ac33569af4 · outbound

This paper cites This step is similar to the first step of SED.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling This step is similar to the first step of SED

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:00.431120Z

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.

source=pdf_text observed=2026-08-06T16:49:58.551468Z digest=sha256:c03dffbe79ebe14799a5ad15bc15a2ee902d59640a605b7c79adad9759c114a7

Observation d95cebd5-c309-44c3-b110-09b1c3171f68 · outbound

This paper cites The original score function uses 2D Eu- clidean distance, which we extend to 3D Euclidean dis- tance.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling The original score function uses 2D Eu- clidean distance, which we extend to 3D Euclidean dis- tance

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:00.263875Z

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.

source=pdf_text observed=2026-08-06T16:49:58.668077Z digest=sha256:f3a3e0063c7d3f2df6209a6e833a78b7b598895e9744ad657e2587af10fe4b8b

Observation f5443684-a686-4a34-9c44-58b15de785ab · outbound

This paper cites Higher SM scores in- dicate better matching between sequences, with an upper bound of 1.0.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Higher SM scores in- dicate better matching between sequences, with an upper bound of 1.0

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:50:00.055416Z

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.

source=pdf_text observed=2026-08-06T16:49:58.747965Z digest=sha256:c504ae8e71971e4dbb99ccf7914645758d5677bcd09c24399870800f19d727db

Observation 4cf7eed1-8fc1-4824-adb2-8e27a6f73ecb · outbound

This paper cites Collect all pairs(i, j) to create a similarity matrix M (i, j) between elements.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Collect all pairs(i, j) to create a similarity matrix M (i, j) between elements

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:59.760425Z

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.

source=pdf_text observed=2026-08-06T16:49:58.844284Z digest=sha256:c907b1426070a362677e6d2e56c43f0a92a55fb4fa293d2cec4a8f8044911c6b

Observation 52f93ef7-f734-4679-904a-9c70e9267021 · outbound

This paper cites b) Direction: difference in direction (angle) between fixation vectors.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling b) Direction: difference in direction (angle) between fixation vectors

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:59.548849Z

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.

source=pdf_text observed=2026-08-06T16:49:58.922304Z digest=sha256:3f42262afc8ec6a08cfd13457cdf60805c538cd22af0269b851e14e5e4062580

Observation 4fd4125a-4729-41a4-92c8-ff7969d17d79 · outbound

This paper cites b) Direction is normalized by π.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling b) Direction is normalized by π

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:49:59.336601Z

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.

source=pdf_text observed=2026-08-06T16:49:59.019132Z digest=sha256:11bf32f69591c2dd4f47cdcf8fa2d5f764bd5cfdfeba66c6709d5e5cf76daf87

Pith citing papers

No inbound Pith citation observations are available.