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Paper Citation Record · LEDGER

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2508.10918.

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

pith.paper-citation-record.v1
2508.10918 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:55:22.819184Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:10:36.382084Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy29
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73cbbde6-a9f5-4504-bdd9-fc6db08d400c · outbound

This paper cites Practical perception-based evaluation of gaze prediction for gaze contingent rendering.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Practical perception-based evaluation of gaze prediction for gaze contingent rendering

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.180071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.701713Z digest=sha256:2a23384bc557ec1db5e740f337fba5295c471674cad4cd28fe94f0fa7e22e823

Observation 2ae0d298-ba83-4899-a349-ff832492c814 · outbound

This paper cites Baji\' c.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Baji\' c

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.169159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.706342Z digest=sha256:d496a9fc59191862f522cd319eef5b4b38595b7eaca4847e839c0f0da09f9a5f

Observation 1535a581-dd07-4d1c-9119-37bda239751e · outbound

This paper cites Joint attention simulation using eye-tracking and virtual humans.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Joint attention simulation using eye-tracking and virtual humans

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.156949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.710291Z digest=sha256:e1a04744b665e34ca46f915ba4974d6e0b3a18a7d385739cc8184446b33ff816

Observation 5a6bf382-98a7-4890-8126-959e7c4ecb28 · outbound

This paper cites Soft- DTW : a differentiable loss function for time-series.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Soft- DTW : a differentiable loss function for time-series

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.144668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.713991Z digest=sha256:c465ee25e7e90cae1e95873f1b3a423c087ca6c0c4347b3f7ee98e906556d090

Observation e2e5a90d-821d-4bad-b7df-85858fed4db9 · outbound

This paper cites A privacy-preserving approach to streaming eye-tracking data.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder A privacy-preserving approach to streaming eye-tracking data

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.133877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.718140Z digest=sha256:b36df23d98a3ad3adb6845d5699c7bddc364c96c94bbbdedddeb1837fb27e5d7

Observation 499c8c82-9148-4281-91b9-7ef1f815f70a · outbound

This paper cites Differentially private recommender framework with dual semi-autoencoder.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differentially private recommender framework with dual semi-autoencoder

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.121848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.721742Z digest=sha256:b9221ae0420f397ab39d3d3e1e3a49771fca71aa62465d1bcbe661a3a87f1856

Observation d6750f07-4b1b-42ae-a715-fd313cd39995 · outbound

This paper cites Reinforcement learning for the privacy preservation and manipulation of eye tracking data.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Reinforcement learning for the privacy preservation and manipulation of eye tracking data

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.110492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.725625Z digest=sha256:c337797a1b22c1444a0b4a355e34cec1e9cd47e38b46557705d60683c14e09e6

Observation 547484c7-d31c-4635-a5f3-ba7f836e22db · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:55:22.728896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:55:22.728896Z digest=sha256:666a65ef369a3d69d1a907a5fe966e4f7d9a2540b0fedb944c2d8074fd807db6

Observation 945e6235-80b7-4723-8411-c8e4cffba1d8 · outbound

This paper cites Gazebase, a large-scale, multi-stimulus, longitudinal eye movement dataset.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Gazebase, a large-scale, multi-stimulus, longitudinal eye movement dataset

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.090239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.732053Z digest=sha256:6341a7cecf3e0801b6d1cad27e6bbcd68370b2a5bf09d89495eadc77e62a64cf

Observation d41c6ab4-0324-46cb-9450-5424eba93513 · outbound

This paper cites Otus: A gaze model-based privacy control framework for eye tracking applications.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Otus: A gaze model-based privacy control framework for eye tracking applications

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.079056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.735218Z digest=sha256:960e3cd008f7c15df4a1acef48e4e9e554859cfccf9e8a93e7e0ea23f08d0658

Observation ac228dea-fce1-49a5-9298-87bbfdd087d7 · outbound

This paper cites An eye-tracking assistive device improves the quality of life for als patients and reduces the caregivers’ burden.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder An eye-tracking assistive device improves the quality of life for als patients and reduces the caregivers’ burden

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.066507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.738516Z digest=sha256:efbbf4386f3ce946cdc20abe36cb053df08cfdc23e4fe3838c552f9f23c4a674

Observation bc6384e2-842e-4aa0-ae65-6b7f7c41a0f8 · outbound

This paper cites Jamshidi, Hadi Veisi, Mohammad M.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Jamshidi, Hadi Veisi, Mohammad M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.052933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.742321Z digest=sha256:d2bf307775254f23bfab0a949cda16496f5c3939e0aa42417360a54b28b0bab9

Observation c56f6e70-a992-4e26-8ee9-bf586da6f6d8 · outbound

This paper cites Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.042441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.745885Z digest=sha256:e389736bbe362d74f0db884855cac144c8fac07179fab68da0fc9b8d0cc3ba16

Observation 23e86951-6eca-4330-b660-2b69717b8725 · outbound

This paper cites o ger, Otto Hans-Martin Lutz, and Florian M \.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder o ger, Otto Hans-Martin Lutz, and Florian M \

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.030624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.749587Z digest=sha256:1f53469e9c61379ce8848d931725e5c9d31d4610d6d9645b9fef7aeb1bc9131d

Observation fe8bbd86-beec-41bf-a8b5-6437c1c2a06b · outbound

This paper cites Differences in eye movement range based on age and gaze direction.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differences in eye movement range based on age and gaze direction

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.021114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.753162Z digest=sha256:ff4e30f9a27a6ccc6a6e9f41bbde0b6e35b7d7baed2e721a1b617e0d2c073700

Observation 068b9dac-beec-4887-b1e9-017259f882b0 · outbound

This paper cites Kaleido : Real-Time privacy control for Eye-Tracking systems.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Kaleido : Real-Time privacy control for Eye-Tracking systems

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.011778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.757025Z digest=sha256:b820c685a523e05e52df8a24ba7bb7869b1b2a79e1508205a60b5107e941b912

Observation 8ecfd048-c6d5-4044-a31b-d86ed132b9a7 · outbound

This paper cites Differential privacy for eye-tracking data.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differential privacy for eye-tracking data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:23.001500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.760479Z digest=sha256:d13c62c85eecdcb348819a59174120e13b0b73685f918731ba9da9fa3c2e32fd

Observation 60eaec2b-3f71-4222-8d3f-11d6dbd89578 · outbound

This paper cites Enhanced embedded autoencoders: An attribute-preserving face de-identification framework.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Enhanced embedded autoencoders: An attribute-preserving face de-identification framework

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.990804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.763752Z digest=sha256:4115b0c89e344ecac58d96ed95d84a64fa5c74a2f1a8f48f2b016e902e902b87

Observation 58f9ed4a-c2dd-4894-a3e9-35ac44013790 · outbound

This paper cites Differentially private recommender system with autoencoders.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differentially private recommender system with autoencoders

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.979870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.767045Z digest=sha256:58d75010ad8dc2fdee81d77fbe94918655e08685fd741ebcc251f918f8d14ed6

Observation 8a65b1e4-8171-454f-bca7-7ba3ddae753e · outbound

This paper cites Komogortsev.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Komogortsev

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.969253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.774281Z digest=sha256:39d3459b40c3abd843be1d312080cc65f2b001c0816af25106d7d4a7e94f4482

Observation 6daf6cdb-3931-4c77-9252-972fbd0efbd4 · outbound

This paper cites Establishing a baseline for gaze-driven authentication performance in vr: A breadth-first investigation on a very large dataset.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Establishing a baseline for gaze-driven authentication performance in vr: A breadth-first investigation on a very large dataset

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.958896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.778694Z digest=sha256:b0aae9baf8887a78b8bb135b7d546f773e10c4e0b278b10bea5a770ef5ed4e11

Observation 815a1996-c000-4617-b0d2-b29df4ef641b · outbound

This paper cites Uncertainty-autoencoder-based privacy and utility preserving data type conscious transformation.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Uncertainty-autoencoder-based privacy and utility preserving data type conscious transformation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.947488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.781970Z digest=sha256:4196fb8946ce94e6c28ea7593dae6628baf5217aa6f443742ceb6cbce9018f24

Observation c65ca397-3e6a-4cff-aa52-29d28eae2670 · outbound

This paper cites Raschka, Anoop M.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Raschka, Anoop M

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.936622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.785184Z digest=sha256:0abe3f32b55048ee46c66e871f7c9e2d37ba4502f894eb576871fbb45f26089c

Observation c4ffa552-1369-4f78-ae16-9bfdad0db6fd · outbound

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

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Towards foveated rendering for gaze-tracked virtual reality

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.926248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.788827Z digest=sha256:797752f960b56fdd94740dc8699af238452959470cc869ce0bd410c732cd3a7a

Observation 94b9ab4f-170f-4382-99ab-f7c08cc3e871 · outbound

This paper cites Perero-Codosero, Fernando M.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Perero-Codosero, Fernando M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.914578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.794307Z digest=sha256:8e512275d81f5d21de07448891ae3589be238d4e7ee6da3c5957d7145f479ab9

Observation 0e1b67e2-90d8-41be-9961-4bd26897a95e · outbound

This paper cites The eye in extended reality: A survey on gaze interaction and eye tracking in head-worn extended reality.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder The eye in extended reality: A survey on gaze interaction and eye tracking in head-worn extended reality

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.902903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.799245Z digest=sha256:5f0cb2774ab2f2b899dbb566366d69f0f2592d5325349248a8ab4528e4d06b8d

Observation 4c150829-a04f-42d1-8cb7-044f7a085d82 · outbound

This paper cites J\" a ger.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder J\" a ger

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.889695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.806576Z digest=sha256:64477a97b05a4d7f2f38353782e6ddbf4194de350f314daf898e669861b0c75d

Observation c1d68ed3-b91f-4758-832a-be1883d6b252 · outbound

This paper cites Recommender systems based on autoencoder and differential privacy.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Recommender systems based on autoencoder and differential privacy

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.877467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.810443Z digest=sha256:1bd6648d60b556ba7f4010578977356e0544d6828ea0d2ed6554e150c5875590

Observation 11360303-76d1-4b8f-8050-bc65b7aece76 · outbound

This paper cites Privacy-aware eye tracking using differential privacy.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Privacy-aware eye tracking using differential privacy

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.866217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.815829Z digest=sha256:12a4078cf6a033bafd12c531f2b6667ef208f61740d77c475760e4c395cf1df1

Observation 145418da-26a0-43c5-896b-2d6df1300267 · outbound

This paper cites Proulx, Sai Deep Tetali, Kevin Butler, and Eakta Jain.

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Proulx, Sai Deep Tetali, Kevin Butler, and Eakta Jain

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:55:22.853405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.819184Z digest=sha256:98df9bb56ea67d1312777dd44b0340e463f052c0ad8da894f79d9baa3d6915e9

Pith citing papers

Observation e30592f8-6025-4f17-a64d-e0307339bc7b · inbound

Privatization of Synthetic Gaze: Attenuating State Signatures in Diffusion-Generated Eye Movements cites this paper.

Privatization of Synthetic Gaze: Attenuating State Signatures in Diffusion-Generated Eye Movements Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T07:10:36.382084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:10:36.382084Z digest=sha256:7c32561f735f2dc1b04b9a5f3ad4fbe545023b821e28c98330b41af05b100b28