Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:42.984770Z
Paper Citation Record · LEDGER
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.09649.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
40 of 40 outbound references displayed
- verified exact4
- verified fuzzy30
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8627787b-020a-4f9e-a717-a32f20a4714e · outbound
This paper cites Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Segnet: A deep convolu- tional encoder-decoder architecture for image segmenta- tion
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.748707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 91ecaec4-f3c9-48f1-bb2e-bba65e95da6a · outbound
This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:42.379791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4135e1f9-5b24-40c7-b237-1eb4a0a8fc49 · outbound
This paper cites Encoder-decoder with atrous separable convolution for se- mantic image segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Encoder-decoder with atrous separable convolution for se- mantic image segmentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.645278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3f2c00a3-e1f8-41fd-9b82-1b4b3fb2c345 · outbound
This paper cites Real-time gaze tracking with event-driven eye segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Real-time gaze tracking with event-driven eye segmentation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.570661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3e4ff8cd-3996-4510-8b2a-1fcd7b53d872 · outbound
This paper cites Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.525991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ecc4c686-55bd-4df5-a6fc-3bd59243a5a8 · outbound
This paper cites Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types,.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Teyed: Over 20 million real-world eye images with pupil, eyelid, and iris 2d and 3d segmen- tations, 2d and 3d landmarks, 3d eyeball, gaze vector, and eye movement types,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.504250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f668d334-2093-4587-85be-96c35d8eb174 · outbound
This paper cites Pistol: Pupil invisible supportive tool in the wild.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Pistol: Pupil invisible supportive tool in the wild
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.483267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 34d786de-ffaa-4fc2-b7f7-c5706dd7ae5d · outbound
This paper cites OpenEDS: Open Eye Dataset.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR OpenEDS: Open Eye Dataset
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:42.844079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6e9fbe5-1471-46ed-9fbf-097ee3771353 · outbound
This paper cites Dataset for eye tracking on a virtual reality platform.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Dataset for eye tracking on a virtual reality platform
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.460271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation be9f61a1-04cc-4a57-81ac-bf22460e7be3 · outbound
This paper cites Eye tracking in the wild.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Eye tracking in the wild
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.405060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9424cc3-8088-486d-b54c-51bb0d36f72c · outbound
This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Neural Information Processing Systems, 30,.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR What uncertainties do we need in bayesian deep learning for computer vision? Neural Information Processing Systems, 30,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.344234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f10fbb59-3918-42cb-8f07-929156199e71 · outbound
This paper cites Ellseg: An ellipse segmentation framework for robust gaze tracking.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Ellseg: An ellipse segmentation framework for robust gaze tracking
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.319518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 40f2da70-92fa-452a-a3fc-c000a7d49629 · outbound
This paper cites Dudes: Deep uncertainty distillation using ensembles for semantic seg- mentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Dudes: Deep uncertainty distillation using ensembles for semantic seg- mentation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.292736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 12a2bd2c-945b-4529-a40d-13a106233ca1 · outbound
This paper cites Primitivenet: decomposing the global constraints for referring segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Primitivenet: decomposing the global constraints for referring segmentation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.250350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 605e06ca-0dc6-47e4-8d73-599379dcee20 · outbound
This paper cites Fully convolutional networks for seman- tic segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Fully convolutional networks for seman- tic segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.215511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0476e3d0-cc64-4614-82b9-f23229df2edf · outbound
This paper cites Shape constrained net- work for eye segmentation in the wild.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Shape constrained net- work for eye segmentation in the wild
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.171301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a7db8ea4-e751-411e-82e1-04847be97fdb · outbound
This paper cites Generalized Category Discovery in Semantic Segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Generalized Category Discovery in Semantic Segmentation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:42.909985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74bb054c-7bf3-4ad6-8d5c-f6323877d0e7 · outbound
This paper cites Yolov3: An incremental improvement.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Yolov3: An incremental improvement
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.132875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3fee752c-6cb0-47b4-893c-7153b6031600 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR U-net: Convolutional networks for biomedical image segmentation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.093134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7950df5f-75f5-4f3d-a28f-937464132a1d · outbound
This paper cites Uncertainty-aware panop- tic segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Uncertainty-aware panop- tic segmentation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.056538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 24764045-a666-452b-b94e-0c75811a2cf4 · outbound
This paper cites Robust real-time pupil tracking in highly off-axis images.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Robust real-time pupil tracking in highly off-axis images
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.005665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0749d0b1-c49f-494c-b8f0-f2a96e603e2a · outbound
This paper cites Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:56:43.154182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6dd6fca4-e9b0-419e-9846-3a525c597cc9 · outbound
This paper cites Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained en- vironments.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Labelled pupils in the wild: a dataset for studying pupil detection in unconstrained en- vironments
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.852371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fc72ce5c-543d-4b97-aac7-9760011770ae · outbound
This paper cites Towards complete and accurate iris segmentation using deep multi- task attention network for non-cooperative iris recognition.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Towards complete and accurate iris segmentation using deep multi- task attention network for non-cooperative iris recognition
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.789368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 416db6ec-112c-4360-9008-2f9286eb9ad7 · outbound
This paper cites Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:56:43.071407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 016dce7a-1883-43a5-9682-e0f0dfe34e57 · outbound
This paper cites Seg- former: Simple and efficient design for semantic segmen- tation with transformers.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Seg- former: Simple and efficient design for semantic segmen- tation with transformers
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.700702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 918b81fc-cb01-4e48-b98c-11a57dd02a33 · outbound
This paper cites Deepvog: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Deepvog: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.631630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b71eb80-8fcc-4ac2-9be2-088ea0057f5d · outbound
This paper cites A full-set tooth segmentation model based on improved pointnet++.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR A full-set tooth segmentation model based on improved pointnet++
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.555013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5c0308bc-d87d-4513-a1bb-ad9ff6a7fd65 · outbound
This paper cites Sipformer: Seg- mentation of multiocular biometric traits with transform- ers.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Sipformer: Seg- mentation of multiocular biometric traits with transform- ers
Reference 2005
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.379505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6e816bf-37f0-4655-85cd-f08f00a36368 · outbound
This paper cites Positive-negative recep- tive field reasoning for omni-supervised 3d segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Positive-negative recep- tive field reasoning for omni-supervised 3d segmentation
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:43.935321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa96f3fc-77e2-41f3-a93b-796734e72a33 · outbound
This paper cites PupilNet: Convolutional Neural Networks for Robust Pupil Detection.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR PupilNet: Convolutional Neural Networks for Robust Pupil Detection
Reference 2015
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:56:43.295278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation baad4db7-8057-4385-8ae2-c50d6f792c77 · outbound
This paper cites PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:42.818443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef8a9905-65da-48e2-a502-75df9d2ad5ee · outbound
This paper cites A framework for generalizable neural networks for robust estimation of eyelids and pupils.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR A framework for generalizable neural networks for robust estimation of eyelids and pupils
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.720898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 96d2a722-3bff-4a55-aa43-2f0438a5444d · outbound
This paper cites Beyond the label itself: La- tent labels enhance semi-supervised point cloud panoptic segmentation.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Beyond the label itself: La- tent labels enhance semi-supervised point cloud panoptic segmentation
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.620430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 62d38072-32c1-47d2-942c-621105249f51 · outbound
This paper cites Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:56:42.175665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e30ad41e-be4e-4d5d-bcae-9dc5343406bc · outbound
This paper cites Boundary-aware geometric encoding for semantic seg- mentation of point clouds.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Boundary-aware geometric encoding for semantic seg- mentation of point clouds
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.438548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 88027b16-58cc-4046-a0a9-f2aef6c8b845 · outbound
This paper cites Sernet-former: Semantic seg- mentation by efficient residual network with attention- boosting gates and attention-fusion networks.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Sernet-former: Semantic seg- mentation by efficient residual network with attention- boosting gates and attention-fusion networks
Reference 2021
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T17:56:43.441333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation baab1948-b059-47fa-8af2-5b585a904c26 · outbound
This paper cites Ex- cuse: Robust pupil detection in real-world scenarios.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Ex- cuse: Robust pupil detection in real-world scenarios
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.545642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e1938be-9f3a-4925-a2a1-08e2099c0eae · outbound
This paper cites Ritnet: Real-time semantic segmentation of the eye for gaze tracking.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Ritnet: Real-time semantic segmentation of the eye for gaze tracking
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:56:44.684799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1d385fe5-177b-443a-870b-07dbdda884f5 · outbound
This paper cites an unresolved cited work.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:56:44.598498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.