Paper Citation Record · LEDGER

Predicting video saliency using crowdsourced mouse-tracking data

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:1907.00480.

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

pith.paper-citation-record.v1
1907.00480 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T12:25:21.075686Z

measured 24 of 24 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T12:25:21.075686Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T12:25:48.028077Z

Reference resolution

23 of 23 outbound references displayed

verified exact3
verified fuzzy18
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5b3ec45-860d-440d-a04a-5bcf132c0134 · outbound

This paper cites Predicting video saliency using crowdsourced mouse-tracking data.

Predicting video saliency using crowdsourced mouse-tracking data Predicting video saliency using crowdsourced mouse-tracking data

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:25:48.030971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3037cc79-42a6-4793-a854-ace4c0579b70 · outbound

This paper cites Hereafter we provide a brief overview of these topics.

Predicting video saliency using crowdsourced mouse-tracking data Hereafter we provide a brief overview of these topics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.648416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ccd155df-ab23-40b5-86f0-75a9bcdf06c5 · outbound

This paper cites We show a participant the video in a special video player in real-time in full-screen mode.

Predicting video saliency using crowdsourced mouse-tracking data We show a participant the video in a special video player in real-time in full-screen mode

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.689247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c74accd2-a3ab-4d21-b204-7a6bfd9d2731 · outbound

This paper cites The algorithm is based on SAM [11] architecture which was originally designed to predict saliency of static images.

Predicting video saliency using crowdsourced mouse-tracking data The algorithm is based on SAM [11] architecture which was originally designed to predict saliency of static images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.659304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e38baea-fc72-4b38-981a-1563c8ae5f66 · outbound

This paper cites We hired participants on Sub- jectify.us crowdsourcing platform, showed them 10 videos and paid them $0.15 if they watched all videos.

Predicting video saliency using crowdsourced mouse-tracking data We hired participants on Sub- jectify.us crowdsourcing platform, showed them 10 videos and paid them $0.15 if they watched all videos

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.655347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d79d52c1-4417-47b5-96be-87a90fe99f7c · outbound

This paper cites We developed a novel system that shows viewers videos in a mouse-contingent video player and collects mouse-tracking data approximat- ing real eye ﬁxations.

Predicting video saliency using crowdsourced mouse-tracking data We developed a novel system that shows viewers videos in a mouse-contingent video player and collects mouse-tracking data approximat- ing real eye ﬁxations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.668299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ca5eb85-6393-4fc4-8ea4-fe0f0cef7f76 · outbound

This paper cites an unresolved cited work.

Predicting video saliency using crowdsourced mouse-tracking data Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ecb89c78-6551-471c-811d-f6aa7db4f725 · outbound

This paper cites Gitman, M.

Predicting video saliency using crowdsourced mouse-tracking data Gitman, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.693090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a47594c-400b-4af0-9f97-ee600e724374 · outbound

This paper cites an unresolved cited work.

Predicting video saliency using crowdsourced mouse-tracking data Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-25T12:25:48.640301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3e3fdcf-26b4-46cd-b75c-80d3e5ec300c · outbound

This paper cites Borji and L.

Predicting video saliency using crowdsourced mouse-tracking data Borji and L

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.680794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 873bd7fb-0eb2-473f-89db-efa9fc7f9440 · outbound

This paper cites Saliency prediction in the deep learning era: An empirical investigation.

Predicting video saliency using crowdsourced mouse-tracking data Saliency prediction in the deep learning era: An empirical investigation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.676791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d6392a8-ab4e-40fd-8d58-891ddbde61e6 · outbound

This paper cites A semiauto- matic saliency model and its application to video compression.

Predicting video saliency using crowdsourced mouse-tracking data A semiauto- matic saliency model and its application to video compression

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.644069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8524d11e-b7b8-48a1-b973-2fb9c97ce3f9 · outbound

This paper cites Improv- ing video compression with deep visual-attention models.

Predicting video saliency using crowdsourced mouse-tracking data Improv- ing video compression with deep visual-attention models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.628388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e70db41-da41-4925-bef2-6c738a95863b · outbound

This paper cites Mathe and C.

Predicting video saliency using crowdsourced mouse-tracking data Mathe and C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.632921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a5c91cd-bc30-4ce4-a56f-dd62a80b7e29 · outbound

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

Predicting video saliency using crowdsourced mouse-tracking data Salicon: Reducing the semantic gap in saliency prediction by adapting deep neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.636760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3e08643-8e7b-4a20-a67f-95fd6da424f2 · outbound

This paper cites Borkin, Krzysztof Z.

Predicting video saliency using crowdsourced mouse-tracking data Borkin, Krzysztof Z

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.624254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e8edaf2-2744-4f89-88f5-a072d3b00f0c · outbound

This paper cites A benchmark of computational models of saliency to predict human ﬁxations.

Predicting video saliency using crowdsourced mouse-tracking data A benchmark of computational models of saliency to predict human ﬁxations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.617153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a37e5c42-619a-4c4c-9905-5c787809e208 · outbound

This paper cites Predicting Human Eye Fixations via an LSTM-based Saliency At- tentive Model.

Predicting video saliency using crowdsourced mouse-tracking data Predicting Human Eye Fixations via an LSTM-based Saliency At- tentive Model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.613673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25b3f9b2-37cb-43bc-848e-42405d8acd5a · outbound

This paper cites Spatio-temporal modeling and predic- tion of visual attention in graphical user inter- faces.

Predicting video saliency using crowdsourced mouse-tracking data Spatio-temporal modeling and predic- tion of visual attention in graphical user inter- faces

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.684821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e1bf1a2-8183-46e9-a160-581b4780c2d8 · outbound

This paper cites Are all the frames equally important?.

Predicting video saliency using crowdsourced mouse-tracking data Are all the frames equally important?

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-25T12:25:48.023107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 884f875f-4425-4917-a855-b6a2bb2150cf · outbound

This paper cites Revisiting video sali- ency: A large-scale benchmark and a new model.

Predicting video saliency using crowdsourced mouse-tracking data Revisiting video sali- ency: A large-scale benchmark and a new model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.672217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52e7e35c-c49d-47ea-857e-7f92c27fd006 · outbound

This paper cites Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM.

Predicting video saliency using crowdsourced mouse-tracking data Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:25:48.015888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 785e6e29-e6c3-4c4f-96ba-14c35bf244b2 · outbound

This paper cites Learning to predict where hu- mans look.

Predicting video saliency using crowdsourced mouse-tracking data Learning to predict where hu- mans look

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T12:25:48.664338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation c5b3ec45-860d-440d-a04a-5bcf132c0134 · inbound