Paper Citation Record · LEDGER

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2501.02143.

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

pith.paper-citation-record.v1
2501.02143 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:06.387963Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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

26 of 26 outbound references displayed

verified exact4
verified fuzzy17
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8c68fbf-a3c6-4c6f-beee-67b263b3d8b5 · outbound

This paper cites Uncertainty quantification of collaborative detection for self-driving,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Uncertainty quantification of collaborative detection for self-driving,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.830104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b981c755-e80d-46a5-9be8-e370672d0451 · outbound

This paper cites Advsim: Generating safety-critical scenarios for self- driving vehicles,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Advsim: Generating safety-critical scenarios for self- driving vehicles,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.813697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11aec67a-0bd0-4eaa-a74b-3671c2e5a6f4 · outbound

This paper cites Autonomous multi- robot servicing for spacecraft operation extension,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Autonomous multi- robot servicing for spacecraft operation extension,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:06.275439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5297e2-d609-4c26-ab00-7fd4bcb47c4f · outbound

This paper cites Decentralized Adaptive Aerospace Transportation of Unknown Loads Using A Team of Robots.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Decentralized Adaptive Aerospace Transportation of Unknown Loads Using A Team of Robots

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:19:06.517012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4994ef10-1c01-483f-8dc3-70eb1cf96177 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Smote: Synthetic minority over-sampling technique,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.788058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea04db0f-e3e9-4f41-a07b-2294b033a02d · outbound

This paper cites Bayesian estimates of equation system parameters: an application of integration by monte carlo,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Bayesian estimates of equation system parameters: an application of integration by monte carlo,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.773866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2881206b-e0ce-4eb2-9909-7c36d93bb222 · outbound

This paper cites an unresolved cited work.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T22:19:06.759880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ad1741a-bccb-45f2-b3b3-654c96aff61f · outbound

This paper cites Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:19:06.493827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9643722a-675f-4d97-ae2a-0d45bad39a12 · outbound

This paper cites Extra proximal-gradient network with learned regularization for image compressive sensing reconstruction,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Extra proximal-gradient network with learned regularization for image compressive sensing reconstruction,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.744946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba1b523c-1824-447f-98d1-98639698acf0 · outbound

This paper cites Simbar: Single image-based scene relighting for effective data augmentation for automated driving vision tasks,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Simbar: Single image-based scene relighting for effective data augmentation for automated driving vision tasks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.728750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2db8bc75-606b-440c-9490-8cfdee998105 · outbound

This paper cites Surfelgan: Synthesizing realistic sensor data for autonomous driving,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Surfelgan: Synthesizing realistic sensor data for autonomous driving,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.712635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b53142e-e7a4-4198-b270-29430cc3a5fa · outbound

This paper cites King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.696528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2891c91-a154-4adc-91b7-41401eac15c8 · outbound

This paper cites Adv3d: Generating safety-critical 3d objects through closed-loop simulation,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Adv3d: Generating safety-critical 3d objects through closed-loop simulation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.682325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac0b660f-a7d4-4488-be5a-0f40b0b6d58c · outbound

This paper cites Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:19:06.472025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b619e1ae-68f1-4cda-b402-e3159b3d9611 · outbound

This paper cites Safety effects of road pavement resurfacing: A case study of city-wide scale projects in china,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Safety effects of road pavement resurfacing: A case study of city-wide scale projects in china,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.667477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e07ced96-f9d1-473c-af3e-826c779e9605 · outbound

This paper cites Occgan: Semantic image augmentation for driving scenes,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Occgan: Semantic image augmentation for driving scenes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.651801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35d80a12-34e0-409c-bd17-3857b0f85493 · outbound

This paper cites Augmented reality meets computer vision : Efficient data generation for urban driving scenes,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Augmented reality meets computer vision : Efficient data generation for urban driving scenes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.636381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50c7fa77-e6fb-4535-9422-e0dd0a5ec65b · outbound

This paper cites Radar: Adversarial driving style representation learning with data augmentation,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Radar: Adversarial driving style representation learning with data augmentation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.619150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12726d0e-f2b5-4268-bf4e-d77b5e5441aa · outbound

This paper cites Tauaud: Test augmentation of image recognition in autonomous driving,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Tauaud: Test augmentation of image recognition in autonomous driving,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.602233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30c8be86-a0f8-4e90-98ea-14df3331aa84 · outbound

This paper cites Fineehr: Refine clinical note repre- sentations to improve mortality prediction,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Fineehr: Refine clinical note repre- sentations to improve mortality prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.584357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c5066b9-af18-4310-97bd-7bfec5aa7dc4 · outbound

This paper cites MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:19:06.448280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2dcb82f5-8a5d-4d9a-8896-ac1880ff8e9a · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:06.368820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f93d0710-e63d-454c-8770-0d973b7a3d70 · outbound

This paper cites Yolov5 by ultralytics,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Yolov5 by ultralytics,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.559533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56317913-91f9-4156-bc0b-fb66871af60d · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Open3D: A Modern Library for 3D Data Processing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:06.378057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92272fe1-bbce-4181-a0a3-9fbfda5937ee · outbound

This paper cites Vision meets robotics: The kitti dataset,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets Vision meets robotics: The kitti dataset,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:06.383410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bde5297-e177-4f22-9ccb-15f8bdec790d · outbound

This paper cites SMOGN: Synthetic minority over-sampling technique for regression with gaussian noise,.

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets SMOGN: Synthetic minority over-sampling technique for regression with gaussian noise,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:06.534760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.