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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.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:28:05.409416Z

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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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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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

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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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Source-reported events for the cited work

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.555601Z

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=2026-08-11T17:28:05.083419Z digest=sha256:986f82ff0c82a28741678d2e786e49111153c25ec8175aaceb7499106eaee010

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:28:06.522327Z

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=2026-08-11T17:28:05.096344Z digest=sha256:5101261d54892eae4a122e76827a95cb079412803e67e3b6b5c7578ed1368622

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
raw_fallback, observed 2026-08-11T17:28:06.501198Z

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=2026-08-11T17:28:05.103020Z digest=sha256:eebef5676bdc2ead3961780855c1e0289a532496e93092777c8b80c52ce58df0

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
raw_fallback, observed 2026-08-11T17:28:06.474585Z

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=2026-08-11T17:28:05.112343Z digest=sha256:f5dc51a0a2a9fc46e9eed1c554bd2649f8d53492961c533cfc8ca4fe19b215eb

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.118959Z digest=sha256:10e9c11f26e19e25ede8f43c061001f8b2180f47709a09f21d5ce3d02bda6e4e

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
raw_fallback, observed 2026-08-11T17:28:06.430700Z

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=2026-08-11T17:28:05.124992Z digest=sha256:172f90cdd431a3ad0f700cff3c552acc7afb3774ee3a7ba36493a9c4bca1da52

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
raw_fallback, observed 2026-08-11T17:28:06.409605Z

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=2026-08-11T17:28:05.133920Z digest=sha256:2a6f89b041c5cab5d146982dac724bc95c8c913c48db9556645cb19630356192

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
raw_fallback, observed 2026-08-11T17:28:06.392629Z

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=2026-08-11T17:28:05.146157Z digest=sha256:55195bac5919a4e56e95e5019c9ea4aa00619efdcec5c86f5e3ce85b122076b1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.151147Z digest=sha256:0aece9625723fc2b6027d5c1593f8c066ea7b84b58b1d02ae7e471bdc1ce5c51

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.156021Z digest=sha256:547bbe0f6fdbdb5876cea09538e929b062bdeddbae4ff2e55c22905ae11908a8

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.162239Z digest=sha256:18a4e5cac8277f8aa16617044e72a307dacaf6daf93fd0dcc3eb574e51e81258

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.168446Z digest=sha256:bdb5f742610b75e2cd2d6be0c198f037ed81e2ffa8d93d2f036cfd8a25016767

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.174189Z digest=sha256:da15fd881d834dfd463d7a59726e9116cc88a2e3dafc120195a18ea23a9fa551

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.185332Z digest=sha256:4b42c3b1a7fc6bd29c26aabbdb0cf95f2ff873ad231b7576191f7823469111ac

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.198912Z digest=sha256:2ee9093d9815e0093d2d07606e60f4d1b485cfab015823c482581cfc363426f5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.204486Z digest=sha256:9ea6581bd8adfa133f8823dbd349c0ce9e80ff0df82cbf0d6b88d25c2ae8b177

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.214791Z digest=sha256:4ecb935e3823c2f596b11b6d4cac6da0ee657c387ff32054b45165a91f49e737

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.230577Z digest=sha256:007f8da40466c1eecf7c697917f0e7568e23fc98995b591413bae3cc5e4faf35

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.253933Z digest=sha256:3a961f3c855822f4c8073a89bee8d20db02832a5fbbc5917f5dda505597ecae7

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
verified fuzzy
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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.263537Z digest=sha256:6495b697557dbd2506e75ad0f33488b36cdaa782a563b450a4f757431f0994c9

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.269686Z digest=sha256:8f91e53521288577a7f2432b098382b55b936d9487b5fc9b5a694eeb93bf5b2a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.274643Z digest=sha256:c5cfb19cbe84afe4400b67c8dc5f9e5e7c088ff0282098610aaf7ce3444c96a2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.280109Z digest=sha256:be2cb63b51105e99fec17703d574cd558b17cb24feb4d4f98edd5cf0a6c48587

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.290347Z digest=sha256:358b2632b8a6cdd5884e0ad7f1cc2ffe0913b67d73a41c6fd671b722ed3fbd50

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.303925Z digest=sha256:0b005817da960736f497908ff78924eb60e0ab3c0e7b0dc1dfea3800007b91ca

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.313002Z digest=sha256:bda46b43cb6a66e5b22553c1fe7b12775000d0fa00c136d791f2427154f7d48a

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.327230Z digest=sha256:ed88008c43292589f3bcff0bb8df3b37a884ddf4cdf66d894514d944ef4aab6f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.332660Z digest=sha256:91bb939dcf1eb13c25a2b67e7b2b620382ace8deb869ed7aab1f20a81c50ec34

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.337345Z digest=sha256:2bd3fe67eb64bc3a53da03b6114dd511318e8756f761e7fbbe212f7332af1bb1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.344068Z digest=sha256:8ccc16da80582276fbae9336be01b6400749fbd0518171b7d81a030b139e553f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.351374Z digest=sha256:130eaab4e59c897800094a125e369ec5275fb878cb78d7c1dbc69031dd111b43

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.359456Z digest=sha256:a9861fd3e509353b9f3e5a29e14cb0256009245c115c182cb926147831d3be15

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.365187Z digest=sha256:b679f4bb7ee9a83fd8a1d1ccef63ec4077694d89d2fe6b70711af17c72c133a7

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.371926Z digest=sha256:390af8a1ed4072488de63766b40b504048c8c7c71748592a98dc20cff90e5b63

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.377189Z digest=sha256:85db76e464404b8d159d4fe0f6568f45e1c7b2d5999b4dfe3554933ee1607363

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.382179Z digest=sha256:15defdadb200c82c863eea99284006000922e191d8d382aa90e3061c5b808bf5

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.390857Z digest=sha256:cf7700a7f0b455684af2a4234448bb8c9e60dbe911664ee1b789495e0a56e0ff

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.396042Z digest=sha256:1ce1043678e8b2967095f62f58d6c128fa04754389e05d39efc214ed13eb4da4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.403936Z digest=sha256:b70f29ebd88eb7cdb2b9830b074a3c1da96a02ab4f55578df83b1a900fda2e73

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T17:28:05.409416Z digest=sha256:9ec41dfd3f35e5eb7e8696a1757491ee52bc09e6d4ca6d1f16bf61d6cb15c913

Pith citing papers

No inbound Pith citation observations are available.