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Paper Citation Record · LEDGER

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality

As of 23 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2412.10456.

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

pith.paper-citation-record.v1
2412.10456 v2

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

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measured 73 of 73 standing notices

One-hop event checks from named stored sources.

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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

73 of 73 outbound references displayed

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External citation measurements

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Outbound references

Observation 71c11546-5854-4583-97b4-37a5b5c1b01c · outbound

This paper cites Perceptually- based foveated virtual reality.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Perceptually- based foveated virtual reality

Reference 1

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Observation 8345bbcd-05f6-47d7-9d9d-288306827f20 · outbound

This paper cites La- tency requirements for foveated rendering in virtual reality.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality La- tency requirements for foveated rendering in virtual reality

Reference 2

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Observation ecc12afc-a62d-4a9e-9ff2-5d19a996dad5 · outbound

This paper cites Time-warped foveated rendering for virtual reality head- sets.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Time-warped foveated rendering for virtual reality head- sets

Reference 3

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Observation abab1648-25b3-445e-8063-26d5524f6678 · outbound

This paper cites Deepfovea: Neural recon- struction for foveated rendering and video compression using learned statistics of natural videos.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Deepfovea: Neural recon- struction for foveated rendering and video compression using learned statistics of natural videos

Reference 4

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Observation ff17dbc4-e5db-4816-af4c-76e7f9933363 · outbound

This paper cites On the interplay of foveated rendering and video encod- ing.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality On the interplay of foveated rendering and video encod- ing

Reference 5

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Observation ab0270d5-1269-4109-82ab-0247eb283f7e · outbound

This paper cites Foveated streaming of real-time graphics.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Foveated streaming of real-time graphics

Reference 6

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Observation 543a369d-601c-43a0-ae45-92ed1ec34658 · outbound

This paper cites Content-aware video encoding for cloud gaming.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Content-aware video encoding for cloud gaming

Reference 7

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Observation 0132096e-22bc-4582-b88d-33a7b8efe507 · outbound

This paper cites Cloud gaming with foveated video encoding.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Cloud gaming with foveated video encoding

Reference 8

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Observation bb91a2e5-b050-45c1-8ffc-21e7712d009b · outbound

This paper cites Enhancing quality of experience for cloud virtual reality gaming: An object-aware video encoding.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Enhancing quality of experience for cloud virtual reality gaming: An object-aware video encoding

Reference 9

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Observation 96af39eb-b123-46e4-9e44-e7eceb72c82d · outbound

This paper cites Flanagin, Peter zu Eulenburg, and Seyed-Ahmad Ahmadi.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Flanagin, Peter zu Eulenburg, and Seyed-Ahmad Ahmadi

Reference 10

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Observation 4f6bf4a3-ad61-44c3-a83a-2072d94274b0 · outbound

This paper cites Real-time gaze tracking with event-driven eye segmenta- tion.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Real-time gaze tracking with event-driven eye segmenta- tion

Reference 11

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Observation ccd767e8-155a-43dd-95d7-1c901095c78d · outbound

This paper cites Etracker: A mobile gaze-tracking system with near-eye display based on a combined gaze- tracking algorithm.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Etracker: A mobile gaze-tracking system with near-eye display based on a combined gaze- tracking algorithm

Reference 12

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Observation 10a02092-4497-480f-86f1-895ade5f5b94 · outbound

This paper cites Angelopoulos, Julien N.P.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Angelopoulos, Julien N.P

Reference 13

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Observation 5dae9edc-9340-4ad7-b1bc-9ab96235b7a0 · outbound

This paper cites Bailey, Jeff B.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Bailey, Jeff B

Reference 14

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Source-reported events for the cited work

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Observation 6b591126-68ce-4bf4-a9c0-15dc0a977366 · outbound

This paper cites In the eye of the beholder: A survey of models for eyes and gaze.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality In the eye of the beholder: A survey of models for eyes and gaze

Reference 15

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Observation c070dcaf-3915-415e-8d6a-fc8a7285fcb5 · outbound

This paper cites Evaluation of appearance-based methods and implications for gaze-based applica- tions.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Evaluation of appearance-based methods and implications for gaze-based applica- tions

Reference 16

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Observation 588d8ec1-4326-4a3a-804f-c4bcf02a2bf5 · outbound

This paper cites an unresolved cited work.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Unresolved cited work

Reference 17

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Observation 6cf29ee9-bc94-4542-871b-6c7c240e9c6f · outbound

This paper cites Real time eye gaze tracking with 3d de- formable eye-face model.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Real time eye gaze tracking with 3d de- formable eye-face model

Reference 18

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Observation 6c4b1bee-58f5-48ae-bacc-16aea2c4be24 · outbound

This paper cites A 3d morphable eye region model for gaze estimation.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality A 3d morphable eye region model for gaze estimation

Reference 19

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Observation a4838eef-9d16-48d3-b095-094bace9d04a · outbound

This paper cites Neural 3d gaze: 3d pupil localization and gaze tracking based on anatomical eye model and neural refraction cor- rection.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Neural 3d gaze: 3d pupil localization and gaze tracking based on anatomical eye model and neural refraction cor- rection

Reference 20

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Source-reported events for the cited work

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Observation 7c7c70f6-1e70-423b-89ae-a9863c9ebbc7 · outbound

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FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Unresolved cited work

Reference 21

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Observation 3986e68a-07b7-4d15-9dcb-ab706f3278c2 · outbound

This paper cites Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel Diaz, and Jeff B.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Chaudhary, Rakshit Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel Diaz, and Jeff B

Reference 22

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Observation b08382bc-9042-4de2-99df-62a1536bef5e · outbound

This paper cites Appearance-based gaze estimation in the wild.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Appearance-based gaze estimation in the wild

Reference 23

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Observation 46b1c8e0-fe00-4cf4-85d6-492fa08ee717 · outbound

This paper cites Mpiigaze: Real-world dataset and deep appearance-based gaze esti- mation, 2017.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Mpiigaze: Real-world dataset and deep appearance-based gaze esti- mation, 2017

Reference 24

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Observation 24ee603e-2d2b-4921-b984-80d848bdb574 · outbound

This paper cites A head pose-free approach for appearance-based gaze estimation.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality A head pose-free approach for appearance-based gaze estimation

Reference 25

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Observation b47fcc96-96f1-4aec-ae09-9e4d24fcfb5c · outbound

This paper cites Learning- by-synthesis for appearance-based 3d gaze estimation.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Learning- by-synthesis for appearance-based 3d gaze estimation

Reference 26

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Source-reported events for the cited work

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Observation 97d0ef1a-3aa7-425a-a55b-5745e8f57531 · outbound

This paper cites Learning an appearance-based gaze estimator from one million synthesised images.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Learning an appearance-based gaze estimator from one million synthesised images

Reference 27

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Source-reported events for the cited work

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Observation 65b54477-3c8d-4f52-810a-ff4457f97821 · outbound

This paper cites One eye is all you need: Lightweight ensembles for gaze estimation with single encoders, 2022.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality One eye is all you need: Lightweight ensembles for gaze estimation with single encoders, 2022

Reference 28

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Observation 80bc25c1-7a86-4846-8ead-3708d6507a45 · outbound

This paper cites Deep learning based eye gaze estimation and prediction.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Deep learning based eye gaze estimation and prediction

Reference 29

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Source-reported events for the cited work

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Observation 5a6f57de-2ec8-4ef6-8795-1411ef91b213 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 30

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Observation f94188aa-b0d3-4c01-ae60-4f643a575028 · outbound

This paper cites Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation

Reference 31

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Source-reported events for the cited work

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Observation 52a0fa55-ac9b-47f8-8777-233b7baa2ef2 · outbound

This paper cites Towards foveated rendering for gaze-tracked virtual reality.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Towards foveated rendering for gaze-tracked virtual reality

Reference 32

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:28:05.083419Z digest=sha256:3261177b4cd6c15109192f63bb3f41e0c51e2578e728c3f304d95f912a1c76a9

Observation 4c30d8a6-d520-4a7c-91f3-a544b61e94eb · outbound

This paper cites Duchowski, Donald H.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Duchowski, Donald H

Reference 33

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T17:28:05.096344Z digest=sha256:1b4f3b278ffff8cf6e7ffe301403479aeab5999ee811a0505bdc42cc7d7ecdb2

Observation 41b30b31-1fd5-445e-86d7-d6109968f834 · outbound

This paper cites Gaze- dependent depth-of-field effect rendering in virtual environments.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Gaze- dependent depth-of-field effect rendering in virtual environments

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T17:28:05.103020Z digest=sha256:844772850d07479c1dd30b479927f9921086ef6b71d1256821f91047503a6dc4

Observation 0680573a-5917-42a3-916e-efdab79a47a6 · outbound

This paper cites Rectangular mapping-based foveated rendering.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Rectangular mapping-based foveated rendering

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T17:28:05.112343Z digest=sha256:5ffa72a7843d47cf2d4514dfa58731dbf97f40afdfd0d99c5896ad41e79ff239

Observation 3f25c1bc-35c4-4b0f-b16f-661c63db01d4 · outbound

This paper cites Weier, M.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Weier, M

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.455940Z

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.

source=pdf_text observed=2026-08-11T17:28:05.118959Z digest=sha256:0a21e8bcc84d877e1b770c66eb58b1853488edb095ae45b5b4a316c541eece48

Observation 9db8666b-a9ad-4816-abd4-5e6c2613cf0c · outbound

This paper cites Turing variable rate shading in vrworks.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Turing variable rate shading in vrworks

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T17:28:05.124992Z digest=sha256:6a9d6cf4bc96c1669fbe9ee2bc811b7269e238ffaac4a771e6ca6ee621bce050

Observation 575d2e35-d1d3-463a-911d-8c6373468437 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T17:28:05.133920Z digest=sha256:06dde8008d91535e71bd15da87e4b08f38345390d10b9da28eb8af8673c277d3

Observation 5fc64347-0c09-4ce4-972f-6288eee9dab5 · outbound

This paper cites Exploring efficiency of vision transformers for self-supervised monocular depth estimation.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Exploring efficiency of vision transformers for self-supervised monocular depth estimation

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-11T17:28:05.146157Z digest=sha256:7069b46060c4109b4369b4c00f1ddda9fca8a7fbe6ef5747ac32153e3b4e7e81

Observation fff8b085-74fc-489d-9748-d285cc2e8fb8 · outbound

This paper cites Spvit: Enabling faster vision transformers via soft token pruning, 2022.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Spvit: Enabling faster vision transformers via soft token pruning, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.362986Z

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.

source=pdf_text observed=2026-08-11T17:28:05.151147Z digest=sha256:e10d8de916bdb88d979653dc1ddd3b037f73370b5f513ff2e6444591df07a1a9

Observation 61e8ff44-c948-412a-893d-821aab3183c5 · outbound

This paper cites Chasing sparsity in vision transformers: An end- to-end exploration, 2021.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Chasing sparsity in vision transformers: An end- to-end exploration, 2021

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.346938Z

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.

source=pdf_text observed=2026-08-11T17:28:05.156021Z digest=sha256:219071feee048419d09f6232d773a3ea18884acb01d24ebfae5e58e5d93fbb65

Observation 841afb64-4317-4008-8e58-0dea86480eed · outbound

This paper cites Evo-vit: Slow-fast token evolution for dynamic vision transformer, 2021.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Evo-vit: Slow-fast token evolution for dynamic vision transformer, 2021

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.313079Z

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.

source=pdf_text observed=2026-08-11T17:28:05.162239Z digest=sha256:b94d4e76322ff189270a8749f4a8f246182fadf724c3ea541523ea4059d79c04

Observation 5ce2e921-fbb2-4521-93df-8fc55837f5bb · outbound

This paper cites The mipi c-phy standard: A generalized multiconductor signaling scheme.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality The mipi c-phy standard: A generalized multiconductor signaling scheme

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.279654Z

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.

source=pdf_text observed=2026-08-11T17:28:05.168446Z digest=sha256:d28c0f890321a807093cfb8d8d798952fc7a6c3b35bb0ee04f306415efcee336

Observation f92d2ea4-9ee6-4d25-9dc0-15aed08af995 · outbound

This paper cites Eyecod: Eye tracking system acceleration via flatcam-based algorithm and hardware co-design.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Eyecod: Eye tracking system acceleration via flatcam-based algorithm and hardware co-design

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.247131Z

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.

source=pdf_text observed=2026-08-11T17:28:05.174189Z digest=sha256:63b846d5bd33020271cea9a19f65c31d6d925026961cbcca462aab419cb4c46f

Observation d2e8bc68-734f-45ca-9b44-978e091185ad · outbound

This paper cites A 4.6µm, 512× 512, ultra-low power stacked digital pixel sensor with triple quantization and 127db dynamic range.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality A 4.6µm, 512× 512, ultra-low power stacked digital pixel sensor with triple quantization and 127db dynamic range

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.218546Z

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.

source=pdf_text observed=2026-08-11T17:28:05.185332Z digest=sha256:870e1fa62f7c99cb9e655a6ebe02d4b6d7e9bd2c9774514152c98eda33e7bf04

Observation 113e2257-1bf9-4057-9fa5-ecf02fb65bd1 · outbound

This paper cites Event Based, Near Eye Gaze Tracking Beyond 10,000Hz.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Event Based, Near Eye Gaze Tracking Beyond 10,000Hz

Reference 46

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unresolved
no resolver link, observed 2026-08-11T17:28:05.191936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:28:05.191936Z digest=sha256:c45b7ec94822f24b2ad7fba82a1c4061aec26f3901ab6f9ccf0eca47aaeca222

Observation 32898bfa-b4b7-488c-972e-e71a46801923 · outbound

This paper cites Estimating power, performance, and area for on-sensor deploy- ment of ar/vr workloads using an analytical framework.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Estimating power, performance, and area for on-sensor deploy- ment of ar/vr workloads using an analytical framework

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.194363Z

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.

source=pdf_text observed=2026-08-11T17:28:05.198912Z digest=sha256:2e1160378f3ad1d960d11689989c8254e8242ec41a46c3b71aa359f99f03071f

Observation 132708a5-9312-42be-abe5-570d7edfcede · outbound

This paper cites A 6.84 gbps/lane mipi c-phy transceiver bridge chip with level-dependent equalization.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality A 6.84 gbps/lane mipi c-phy transceiver bridge chip with level-dependent equalization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.164463Z

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.

source=pdf_text observed=2026-08-11T17:28:05.204486Z digest=sha256:be442ff76246659980c4734fa4c80bb43ec23c752fd6937346f2beae14d40586

Observation b44c8537-5955-4453-b535-0ec61b41a2c3 · outbound

This paper cites an unresolved cited work.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:28:06.144970Z

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.

source=pdf_text observed=2026-08-11T17:28:05.214791Z digest=sha256:352de8a214725992ae96325f372c189f8f9a2c968af013718b7b72409f91e950

Observation 4e69956f-f178-458f-a976-9bb533dc2115 · outbound

This paper cites Power, performance, and image quality tradeoffs in foveated rendering.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Power, performance, and image quality tradeoffs in foveated rendering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.120964Z

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.

source=pdf_text observed=2026-08-11T17:28:05.230577Z digest=sha256:64170b001f6296bc6c8b2dc272f183b824bee6573586fbe0ff36ce7e28bcf906

Observation ab002836-8641-461a-9c17-ec7ab1e5db00 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Image quality assessment: from error visibility to structural similarity

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T17:28:05.241517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:28:05.241517Z digest=sha256:01235ccfbd4bda45fa539445bf702d27c5e44fa43596459f420496c38c837a8c

Observation d75873fd-c13b-4531-b53c-98bebd4a6996 · outbound

This paper cites This is the author’s version of the article that has been published in the proceedings of IEEE Visualization conference.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality This is the author’s version of the article that has been published in the proceedings of IEEE Visualization conference

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.076222Z

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.

source=pdf_text observed=2026-08-11T17:28:05.253933Z digest=sha256:650740c433954cd1d667eb2920ffa7a7081c86631ceea47fe04c4fcc32dc6891

Observation 47b055a4-1748-42e9-8132-f1ab205b9254 · outbound

This paper cites Pea-pods: Perceptual evaluation of algorithms for power optimization in xr displays.ACM Transactions on Graphics (TOG), 43(4):1–17, 2024.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Pea-pods: Perceptual evaluation of algorithms for power optimization in xr displays.ACM Transactions on Graphics (TOG), 43(4):1–17, 2024

Reference 53

Resolution
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raw_fallback, observed 2026-08-11T17:28:06.043342Z

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.

source=pdf_text observed=2026-08-11T17:28:05.263537Z digest=sha256:285ad4e683333a89a919c64dc7708cf83858932d79af0d7c0645b4416edec895

Observation 3371a7e7-90cc-4588-aabc-e58fcbb32e97 · outbound

This paper cites Fovvideovdp: A visible difference predictor for wide field-of-view video.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Fovvideovdp: A visible difference predictor for wide field-of-view video

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.002443Z

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.

source=pdf_text observed=2026-08-11T17:28:05.269686Z digest=sha256:fd9b3502539738158ce780b9533a43d3099a6ac6870f82164f99619043c4be80

Observation cba4d6e9-5776-4aa0-98f9-82bec2d3ef05 · outbound

This paper cites Image features influence reaction time: A learned probabilistic perceptual model for saccade latency.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Image features influence reaction time: A learned probabilistic perceptual model for saccade latency

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.974746Z

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.

source=pdf_text observed=2026-08-11T17:28:05.274643Z digest=sha256:7635fc89d3df94a5f5b30d8970fa9a1fd3e3a3750557272713218c965c2970c1

Observation 9f32567e-dbb2-4cf2-ba62-8acf08ff24ab · outbound

This paper cites Virtual reality telepresence: 360-degree video streaming with edge-compute assisted static foveated compression.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Virtual reality telepresence: 360-degree video streaming with edge-compute assisted static foveated compression

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.953128Z

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.

source=pdf_text observed=2026-08-11T17:28:05.280109Z digest=sha256:5ba6241ea52dbcdbf1c3f1433d2c482063b311208c5638dfcacbbe46c080c306

Observation 0ba56bb0-faa9-48a6-aea3-207ea76d29cc · outbound

This paper cites Fov-nerf: Foveated neural radiance fields for virtual reality.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Fov-nerf: Foveated neural radiance fields for virtual reality

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.925300Z

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.

source=pdf_text observed=2026-08-11T17:28:05.290347Z digest=sha256:165eca03b1dd84ea878913774c873ee13329102930e9e3b1c5e18ebe7d91dd97

Observation 07065dad-6f2b-4722-bc5f-b754e340f8cb · outbound

This paper cites Fovolnet: Fast volume ren- dering using foveated deep neural networks.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Fovolnet: Fast volume ren- dering using foveated deep neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.898627Z

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.

source=pdf_text observed=2026-08-11T17:28:05.303925Z digest=sha256:239eec5a8336b04b337092e88d6dd2fa71b594557e57c42d8b3c9e7b51adcfb2

Observation b0f00f70-8efa-4ac4-9f84-16d511f00e70 · outbound

This paper cites Estimating the just noticeable dif- ference of tactile feedback in oculus quest 2 controllers.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Estimating the just noticeable dif- ference of tactile feedback in oculus quest 2 controllers

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.873964Z

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.

source=pdf_text observed=2026-08-11T17:28:05.313002Z digest=sha256:54957428cd0f3cd3038133f1df10d23157f83fed761525afb74cbb69fb09d563

Observation 05d253cc-c129-4627-9a98-bf754c6ba9c7 · outbound

This paper cites Komogortsev, and Sachin S.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Komogortsev, and Sachin S

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.848563Z

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.

source=pdf_text observed=2026-08-11T17:28:05.327230Z digest=sha256:3316f71bef8be9832342687c9810cd3977ad404e27f1de497782c96ad618ab15

Observation 1e0ef86f-b2fb-4484-ace6-4d56909c08d5 · outbound

This paper cites Meta quest pro.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Meta quest pro

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.825809Z

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.

source=pdf_text observed=2026-08-11T17:28:05.332660Z digest=sha256:93189ec42956fbdba3bcaa0fffc98dff1b9aa40c8282a89eb19175a32180f9bd

Observation 1e0b174f-5a6f-424e-acc8-96311b5f3ba6 · outbound

This paper cites https://www.nvidia.com/en-us/ design-visualization/rtx/, 2022.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality https://www.nvidia.com/en-us/ design-visualization/rtx/, 2022

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.795872Z

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.

source=pdf_text observed=2026-08-11T17:28:05.337345Z digest=sha256:cb415d1e29b99d78f8ec371c6f4f8b39554d35c8a7e093a2ad9182c2eec87e9f

Observation 887749c5-122d-423b-9932-005d2905b6be · outbound

This paper cites Digital Combat Simulator.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Digital Combat Simulator

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.767702Z

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.

source=pdf_text observed=2026-08-11T17:28:05.344068Z digest=sha256:b736012a4a44a74bbffe25962f8add5af34a1b606ef3241255ec3fff88c62325

Observation b8e27a08-7470-4f04-a5cb-feddcff68691 · outbound

This paper cites Exploring the effects of image persistence in low frame rate virtual environments.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Exploring the effects of image persistence in low frame rate virtual environments

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.748260Z

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.

source=pdf_text observed=2026-08-11T17:28:05.351374Z digest=sha256:4e277bd253b09acef28b0a648dfd7ac45b4ba928890fd25ec057066551219d11

Observation df0f6042-63d8-4fc5-93fc-3bd7a37ad4b9 · outbound

This paper cites Apple Vision Pro, 2024.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Apple Vision Pro, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.730490Z

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.

source=pdf_text observed=2026-08-11T17:28:05.359456Z digest=sha256:b9cf55e6436a6881d20b3b839a9ac63e6e2fbe7932b2892f0a6de215db3c3f98

Observation 2997159a-e339-4653-a9d1-64847262f663 · outbound

This paper cites Sprague, Zachary Helft, Jared Parnell, J.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Sprague, Zachary Helft, Jared Parnell, J

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.711460Z

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.

source=pdf_text observed=2026-08-11T17:28:05.365187Z digest=sha256:920c7aaf545abfc5970303594f61e6f48a006fa38212cd8fdf0cb5f151aeecc6

Observation f91b0cdf-e05b-48d7-945b-75028fbeef98 · outbound

This paper cites Roundness.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Roundness

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.691878Z

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.

source=pdf_text observed=2026-08-11T17:28:05.371926Z digest=sha256:e20a14271d530dda35018aa5c2aec684b42fa173f6e1d38c158ad4a976f7faf2

Observation 43b6067f-75c8-4e14-a452-3bfb1f1273da · outbound

This paper cites Edgaze: Efficient gaze tracking and deepvog: Deep learning for eye tracking in vr.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Edgaze: Efficient gaze tracking and deepvog: Deep learning for eye tracking in vr

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.664488Z

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.

source=pdf_text observed=2026-08-11T17:28:05.377189Z digest=sha256:853419dc40a00889a665579b4ee1c05a39e5a817ee972f311698c693208d4eb1

Observation a553a3cf-b6b3-4265-9d9b-ddea4607142b · outbound

This paper cites Mi- crosoft coco: Common objects in context.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Mi- crosoft coco: Common objects in context

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.636712Z

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.

source=pdf_text observed=2026-08-11T17:28:05.382179Z digest=sha256:ff818b0aaca6a75aa4a40727e600de352b2dfafd7a6799ed1f8f1fcc45b67eba

Observation 29d971ff-bbfd-4efb-82c9-a2f22c073a28 · outbound

This paper cites Gaze-contingent real-time simu- lation of arbitrary visual fields.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Gaze-contingent real-time simu- lation of arbitrary visual fields

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.615372Z

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.

source=pdf_text observed=2026-08-11T17:28:05.390857Z digest=sha256:14b6bfa3b23124e05522cdc4a40fddb8c092953e198b97bac5b537d0397bad0e

Observation f5c1dd02-babb-45ab-9cbc-1940f5360d63 · outbound

This paper cites Sal- icon: Saliency in context.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality Sal- icon: Saliency in context

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.572895Z

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.

source=pdf_text observed=2026-08-11T17:28:05.396042Z digest=sha256:d7271dca8a1a1a7a9968e97dc4c2c6b7310e34b654ef7b8572af4fcac3b717c8

Observation 5c6295b9-1f1a-4af3-b6fb-3d3e91735721 · outbound

This paper cites https://github.com/gpgpu-sim/gpgpu-sim_ distribution.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality https://github.com/gpgpu-sim/gpgpu-sim_ distribution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.543133Z

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.

source=pdf_text observed=2026-08-11T17:28:05.403936Z digest=sha256:b8703768046bf174d4344e995803922714c30622956b679eb80f533874044053

Observation 7baa05f8-e787-433f-9da7-e5d040900b8e · outbound

This paper cites https://www.notebookcheck.net/ Qualcomm-Adreno-650-GPU-Benchmarks-and-Specs.448196.

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality https://www.notebookcheck.net/ Qualcomm-Adreno-650-GPU-Benchmarks-and-Specs.448196

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:05.517869Z

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.

source=pdf_text observed=2026-08-11T17:28:05.409416Z digest=sha256:ebc18ffcaf7cbd6ba354f31eb839a8e9ecfdd0df4bb89db78f01ad4eff880d48

Pith citing papers

No inbound Pith citation observations are available.