Paper Citation Record · LEDGER

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding

As of 5 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2511.08666.

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

pith.paper-citation-record.v1
2511.08666 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T23:12:48.977906Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:40:12.685184Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact12
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48180d2b-ee0d-4c88-b1d0-3f647954002a · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.861955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3872ceb7-6331-4082-a3fe-d527f070f728 · outbound

This paper cites ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:15:26.847191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17d6943d-efc2-41b2-bbc1-1e7992571e6b · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.867229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 536eb564-8237-4c5c-afce-91de3b9aa682 · outbound

This paper cites Privacy-preserving visual localization with event cameras.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Privacy-preserving visual localization with event cameras

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:15:26.810442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 453d65e6-2e4e-4a1e-8704-478d114a73a3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Decoupled Weight Decay Regularization

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.857118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87966b9e-de21-4db5-a85c-1e23107dbfec · outbound

This paper cites Sb-bench: Stereotype bias benchmark for large multimodal models.arXiv preprint arXiv:2502.08779.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Sb-bench: Stereotype bias benchmark for large multimodal models.arXiv preprint arXiv:2502.08779

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:15:26.852606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1798780a-3c5d-4b61-87db-b481e8d66267 · outbound

This paper cites U-net: Convolutional networks for biomed- ical image segmentation.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding U-net: Convolutional networks for biomed- ical image segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:15:27.172188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e9af29f5-7842-4068-8eb1-f86b6ad69764 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.815939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80850a82-8538-44d1-b575-3c054eac2200 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.820988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0105e430-5509-4bef-9528-14e95e31c3cd · outbound

This paper cites Image representations learned with unsupervised pre-training con- tain human-like biases.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Image representations learned with unsupervised pre-training con- tain human-like biases

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:15:27.168694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9491e90a-5900-41ee-9ce8-5018a0e0e64e · outbound

This paper cites ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.831220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a01342fa-2dae-4fcc-abf5-070c41051411 · outbound

This paper cites Investigating Bias in Image Classification using Model Explanations.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Investigating Bias in Image Classification using Model Explanations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:15:26.826597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 24f8e7fc-8aca-4f6f-b9a0-9fe7d3c6f1cb · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.841249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e9cf39b-b5e1-490a-b071-446b4210430e · outbound

This paper cites Predictive Inequity in Object Detection.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Predictive Inequity in Object Detection

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.804549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66ce60d5-26ec-4a80-a72b-0d32e07ba091 · outbound

This paper cites Fedprompt: Communication- efficient and privacy-preserving prompt tuning in federated learning.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Fedprompt: Communication- efficient and privacy-preserving prompt tuning in federated learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:15:27.176013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 553e027c-2f60-43f9-ad7c-1eb0d4fd11ad · outbound

This paper cites Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:15:26.836293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66de3c1b-4fcc-4744-8e1f-6276b2bcdf81 · outbound

This paper cites Each clip lasts around 10 seconds and is labeled with a single action class.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Each clip lasts around 10 seconds and is labeled with a single action class

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:15:27.189804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e016f39-569b-434e-82f8-7dba786d60b9 · outbound

This paper cites For training, only random resized crop and random horizontal flip with probability 50% are utilized.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding For training, only random resized crop and random horizontal flip with probability 50% are utilized

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:15:27.179741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e9ac971-8235-4c46-874a-2b912dd1e1dd · outbound

This paper cites an unresolved cited work.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-17T23:15:27.185921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ead85be1-038f-4807-b136-15b3ca9242f4 · outbound

This paper cites an unresolved cited work.

Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-17T23:15:27.182807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 89146220-8329-402b-9e70-150efd83a8f0 · inbound

Privacy-Aware Synthetic Video Benchmarking and Relational Evaluation for Worker-Under-Suspended-Load Detection cites this paper.

Privacy-Aware Synthetic Video Benchmarking and Relational Evaluation for Worker-Under-Suspended-Load Detection Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:40:12.685184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.