Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:55:22.819184Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T05:55:22.819184Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:10:36.382084Z
A source-named dated measurement, never combined with another source.
Source: cited_works
30 of 30 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 73cbbde6-a9f5-4504-bdd9-fc6db08d400c · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Practical perception-based evaluation of gaze prediction for gaze contingent rendering
Reference 1
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.
Observation 2ae0d298-ba83-4899-a349-ff832492c814 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Baji\' c
Reference 2
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.
Observation 1535a581-dd07-4d1c-9119-37bda239751e · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Joint attention simulation using eye-tracking and virtual humans
Reference 3
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.
Observation 5a6bf382-98a7-4890-8126-959e7c4ecb28 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Soft- DTW : a differentiable loss function for time-series
Reference 4
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.
Observation e2e5a90d-821d-4bad-b7df-85858fed4db9 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder A privacy-preserving approach to streaming eye-tracking data
Reference 5
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.
Observation 499c8c82-9148-4281-91b9-7ef1f815f70a · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differentially private recommender framework with dual semi-autoencoder
Reference 6
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.
Observation d6750f07-4b1b-42ae-a715-fd313cd39995 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Reinforcement learning for the privacy preservation and manipulation of eye tracking data
Reference 7
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.
Observation 547484c7-d31c-4635-a5f3-ba7f836e22db · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Goodfellow, Jonathon Shlens, and Christian Szegedy
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 945e6235-80b7-4723-8411-c8e4cffba1d8 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Gazebase, a large-scale, multi-stimulus, longitudinal eye movement dataset
Reference 9
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.
Observation d41c6ab4-0324-46cb-9450-5424eba93513 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Otus: A gaze model-based privacy control framework for eye tracking applications
Reference 10
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.
Observation ac228dea-fce1-49a5-9298-87bbfdd087d7 · outbound
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
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.
Observation bc6384e2-842e-4aa0-ae65-6b7f7c41a0f8 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Jamshidi, Hadi Veisi, Mohammad M
Reference 12
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.
Observation c56f6e70-a992-4e26-8ee9-bf586da6f6d8 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Eye tracking cognitive load using pupil diameter and microsaccades with fixed gaze
Reference 13
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.
Observation 23e86951-6eca-4330-b660-2b69717b8725 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder o ger, Otto Hans-Martin Lutz, and Florian M \
Reference 14
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.
Observation fe8bbd86-beec-41bf-a8b5-6437c1c2a06b · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differences in eye movement range based on age and gaze direction
Reference 15
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.
Observation 068b9dac-beec-4887-b1e9-017259f882b0 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Kaleido : Real-Time privacy control for Eye-Tracking systems
Reference 16
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.
Observation 8ecfd048-c6d5-4044-a31b-d86ed132b9a7 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differential privacy for eye-tracking data
Reference 17
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.
Observation 60eaec2b-3f71-4222-8d3f-11d6dbd89578 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Enhanced embedded autoencoders: An attribute-preserving face de-identification framework
Reference 18
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.
Observation 58f9ed4a-c2dd-4894-a3e9-35ac44013790 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Differentially private recommender system with autoencoders
Reference 19
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.
Observation 8a65b1e4-8171-454f-bca7-7ba3ddae753e · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Komogortsev
Reference 20
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.
Observation 6daf6cdb-3931-4c77-9252-972fbd0efbd4 · outbound
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
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.
Observation 815a1996-c000-4617-b0d2-b29df4ef641b · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Uncertainty-autoencoder-based privacy and utility preserving data type conscious transformation
Reference 22
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.
Observation c65ca397-3e6a-4cff-aa52-29d28eae2670 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Raschka, Anoop M
Reference 23
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.
Observation c4ffa552-1369-4f78-ae16-9bfdad0db6fd · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Towards foveated rendering for gaze-tracked virtual reality
Reference 24
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.
Observation 94b9ab4f-170f-4382-99ab-f7c08cc3e871 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Perero-Codosero, Fernando M
Reference 25
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.
Observation 0e1b67e2-90d8-41be-9961-4bd26897a95e · outbound
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
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.
Observation 4c150829-a04f-42d1-8cb7-044f7a085d82 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder J\" a ger
Reference 27
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.
Observation c1d68ed3-b91f-4758-832a-be1883d6b252 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Recommender systems based on autoencoder and differential privacy
Reference 28
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.
Observation 11360303-76d1-4b8f-8050-bc65b7aece76 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Privacy-aware eye tracking using differential privacy
Reference 29
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.
Observation 145418da-26a0-43c5-896b-2d6df1300267 · outbound
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder Proulx, Sai Deep Tetali, Kevin Butler, and Eakta Jain
Reference 30
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.
Observation e30592f8-6025-4f17-a64d-e0307339bc7b · inbound
Privatization of Synthetic Gaze: Attenuating State Signatures in Diffusion-Generated Eye Movements Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.