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Paper Citation Record · LEDGER

Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.701713Z digest=sha256:8860385e583b1e72f584d1ed40c19b4e67ce99248897d4fb64b747f77e744fd0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.706342Z digest=sha256:9d5060e8d79bd45eb03863031491539e131f948e08ec5af75bf70793afa5dad3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.710291Z digest=sha256:6a090f943b9a99c0390ba072dd7a6c1a5a71b0d07c1cb17fad7cb03e973a78b4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.713991Z digest=sha256:9c4f6d41b0ae7e5942b61b95b3c988d7bdaa1ba2ae1876d7c503aa754c3cd23f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.718140Z digest=sha256:18a40d4d275473aa20819d4b5b9ea88dc312b44cc4ac750c42bd35ef045951e2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.721742Z digest=sha256:9e8c7877a0ddde1b4aeb448c1367d8cd5a63370ee4201c829538eea1b2ff24ab

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.725625Z digest=sha256:7d8c6953cc9f1ab6d382d151e15f83cfcb95a03a0e484da8b1bcebd2510cc5d4

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=sha256:28fb25598df702a9402d2478c9e6ee96898ec3f1e43daf66dfd7e828e93c597a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.732053Z digest=sha256:7a27e67336fd5d50af0bf1b6e2b82560cca5956f7b98c8dfbc880cd7d9db5d56

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.735218Z digest=sha256:7b683e0d2aff96662887fbf96d4cac126b4325d4b85923a10b2ec4ee5af02df1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.738516Z digest=sha256:f173b56ac77a830d701e2c15a50140b3d69b6ada0fa1754129c0a3592dd270b7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.742321Z digest=sha256:50369f19ef7cc546c1a600978b8264ed8ec551e8a51521a2ce75472be05b93ca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.745885Z digest=sha256:dcb7e86b92b023415eced92d9cebbad8b28bed046e98539c580c3b65970831a4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.749587Z digest=sha256:6ed779dc426e0d7d2603b6dc386d48b435ee0ac3512e47107e1c5fdc9f49f71f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.753162Z digest=sha256:d22426d4c4eb8b6546718c68771a6278d2e9f620654243a230c9c66ff37b4329

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.757025Z digest=sha256:88c282e43a652a6a121a642dcfb8cb72899cf0cdf85c2406f9a841858d0e4aaa

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.760479Z digest=sha256:c10a51de21507d428093b68cc2fb97fc582fc91d5cfac06a8f5fbc6ffb10b670

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.763752Z digest=sha256:62331ef51585492c7acc377f82122d80f1b0739c1c7c9a991993519ed398193d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.767045Z digest=sha256:b7fa29711babff404a3de0a63924cf6204700493fd8b165d6bb43c19a4d5b1b4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.774281Z digest=sha256:8290cb76ef4852ee4ace5560cd064d523ef06a6d4928432497acae63ebb19ccf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.778694Z digest=sha256:1ed896cca7d1533295513e04cb964ebb2f194a94bea23b1ef6b1ae5c354a329f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.781970Z digest=sha256:16d475d130a00e73f68e884493e9af923f32ce8cd69f503364e7d6073b94c522

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.785184Z digest=sha256:5a34bc0e8bf0e3a4ea0359ded10630bf4842d493a5145375aa6b30ab5fe9cff9

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.788827Z digest=sha256:e16a84b97a963cdf6f4ec802e1e206f328975d2cc94d7cb2be52fe3689f6bade

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.794307Z digest=sha256:68aa0a65e698f5c089fe590c8982381b23555a3e70f84d452197f15b98350a20

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.799245Z digest=sha256:746bd462eb24eb7d6eb8b8c3e841bce6e0af16fd88a993c8fd4daa1cd7834355

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.806576Z digest=sha256:f8159af469b6c64a0b1a4f45db6a1b154855287a6aac77c79ae8ef00039ef918

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.810443Z digest=sha256:f0ac64e32ee3113683ad057ada16cbe70a84d404fdc2e8dab1be9c4e68f46864

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.815829Z digest=sha256:55ccdf601b488f6de504a052b3da64065b1930e3c349638cb1cd3918745f4d2f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T05:55:22.819184Z digest=sha256:1b553f1935cba7d39f39fc17c362e06c1a3d3559936427832a4592eefd0891d7

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=sha256:3ae0fb531732c4b18f046996db5a7ba437fcdac532f2862a6136558b3f757261