Paper Citation Record · LEDGER

Active Illumination Control in Low-Light Environments using NightHawk

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.06394.

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

pith.paper-citation-record.v1
2506.06394 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:05.872004Z

measured 26 of 26 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 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 exact1
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0179eb81-79f0-4121-98eb-c6c49e32c018 · outbound

This paper cites Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces.

Active Illumination Control in Low-Light Environments using NightHawk Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.077636Z

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 ab6af8d1-b1eb-4002-b1eb-9334fc226225 · outbound

This paper cites SuperPoint: Self-Supervised Interest Point Detection and Description.

Active Illumination Control in Low-Light Environments using NightHawk SuperPoint: Self-Supervised Interest Point Detection and Description

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:05.802040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52db1830-8872-43a6-a515-ffecf77ad241 · outbound

This paper cites an unresolved cited work.

Active Illumination Control in Low-Light Environments using NightHawk Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:26:06.070846Z

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 391e4e9f-d375-4d9d-b592-aac7ac76719e · outbound

This paper cites SiLK -- Simple Learned Keypoints.

Active Illumination Control in Low-Light Environments using NightHawk SiLK -- Simple Learned Keypoints

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:26:05.909472Z

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 d6779fc3-b797-48ad-90fb-83471b780021 · outbound

This paper cites Learning-Based Image Enhancement for Visual Odometry in Challenging HDR Environments.

Active Illumination Control in Low-Light Environments using NightHawk Learning-Based Image Enhancement for Visual Odometry in Challenging HDR Environments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.063277Z

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 0fefc4c3-d2fd-487d-b939-de9f56ed8ed2 · outbound

This paper cites Camera Attributes Control for Visual Odometry With Motion Blur Awareness.

Active Illumination Control in Low-Light Environments using NightHawk Camera Attributes Control for Visual Odometry With Motion Blur Awareness

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.055946Z

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 f8ebe6b8-ab36-40b0-aab5-28e8886cf56b · outbound

This paper cites Good features to track.

Active Illumination Control in Low-Light Environments using NightHawk Good features to track

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.049296Z

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 32d67edc-d1b8-4829-9cd6-0d35d0bb6597 · outbound

This paper cites Exposure Control Using Bayesian Optimization Based on Entropy Weighted Image Gradient.

Active Illumination Control in Low-Light Environments using NightHawk Exposure Control Using Bayesian Optimization Based on Entropy Weighted Image Gradient

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.042590Z

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 0a6cd324-8815-4a1d-9698-d48a1de837d5 · outbound

This paper cites Proactive Camera Attribute Con- trol Using Bayesian Optimization for Illumination-Resilient Visual Navigation.

Active Illumination Control in Low-Light Environments using NightHawk Proactive Camera Attribute Con- trol Using Bayesian Optimization for Illumination-Resilient Visual Navigation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.036098Z

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 06924ad8-2c34-4a12-98bf-2b25ba22f33b · outbound

This paper cites Learning to Control Camera Exposure via Reinforcement Learning.

Active Illumination Control in Low-Light Environments using NightHawk Learning to Control Camera Exposure via Reinforcement Learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.028470Z

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 ca62125c-b7b9-42ba-b353-0991c2739fcc · outbound

This paper cites an unresolved cited work.

Active Illumination Control in Low-Light Environments using NightHawk Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:26:06.021871Z

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 c9a3fac4-9250-46fe-a353-964ac9fc7e1c · outbound

This paper cites Robot Operating System 2: Design, architecture, and uses in the wild.

Active Illumination Control in Low-Light Environments using NightHawk Robot Operating System 2: Design, architecture, and uses in the wild

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:06.015506Z

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 faac5d1d-409d-42a2-b8f3-c2a16aba9132 · outbound

This paper cites an unresolved cited work.

Active Illumination Control in Low-Light Environments using NightHawk Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:26:06.008185Z

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 765891df-1b4f-4e33-a65f-0127d37814c2 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Li- brary.

Active Illumination Control in Low-Light Environments using NightHawk PyTorch: An Imperative Style, High-Performance Deep Learning Li- brary

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.999993Z

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 95792849-aa1d-47d9-aad9-412bda11c845 · outbound

This paper cites Scikit-learn: Machine Learning in Python.MACHINE LEARNING IN PYTHON.

Active Illumination Control in Low-Light Environments using NightHawk Scikit-learn: Machine Learning in Python.MACHINE LEARNING IN PYTHON

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.991984Z

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 73a1f238-af25-4ed5-a0ce-f188e5baba28 · outbound

This paper cites an unresolved cited work.

Active Illumination Control in Low-Light Environments using NightHawk Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:26:05.984297Z

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 996f2216-0d11-449d-b56b-c0ecdd2f0c40 · outbound

This paper cites R2D2: Repeatable and Reliable Detector and Descriptor.

Active Illumination Control in Low-Light Environments using NightHawk R2D2: Repeatable and Reliable Detector and Descriptor

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:05.844635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b5dfff-570f-4b4b-a2be-9be8fbd2403a · outbound

This paper cites ORB: An effi- cient alternative to SIFT or SURF.

Active Illumination Control in Low-Light Environments using NightHawk ORB: An effi- cient alternative to SIFT or SURF

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.977386Z

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 d816ac8a-e1c3-40c3-9f60-cd82954437e7 · outbound

This paper cites A Comprehensive Study of Systems Challenges in Visual Simultaneous Localiza- tion and Mapping Systems.ACM Transactions on Embedded Computing Systems, 24(1):1–31, January 2025.

Active Illumination Control in Low-Light Environments using NightHawk A Comprehensive Study of Systems Challenges in Visual Simultaneous Localiza- tion and Mapping Systems.ACM Transactions on Embedded Computing Systems, 24(1):1–31, January 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.969522Z

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 2e84ee41-f3a1-43d9-83a5-383fb48e069a · outbound

This paper cites Ko, Yu David Liu, Lukasz Ziarek, and Karthik Dantu.

Active Illumination Control in Low-Light Environments using NightHawk Ko, Yu David Liu, Lukasz Ziarek, and Karthik Dantu

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.961890Z

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 e9454dc2-bff9-41f7-ac50-a86c266480f2 · outbound

This paper cites Auto-adjusting camera exposure for outdoor robotics using gradient information.

Active Illumination Control in Low-Light Environments using NightHawk Auto-adjusting camera exposure for outdoor robotics using gradient information

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.953447Z

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 8ecb9708-da9a-4a0a-bb89-2f616ad55509 · outbound

This paper cites Practical Bayesian Optimization of Machine Learning Algorithms.

Active Illumination Control in Low-Light Environments using NightHawk Practical Bayesian Optimization of Machine Learning Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:26:05.859790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401c7480-5bf4-40ca-89a2-779932c3ffb0 · outbound

This paper cites Waslander, and Jonathan Kelly.

Active Illumination Control in Low-Light Environments using NightHawk Waslander, and Jonathan Kelly

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.946198Z

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 4950ee7d-ce39-4bd6-a26e-33342f290065 · outbound

This paper cites An Image Acquisition Scheme for Visual Odometry based on Image Bracketing and Online Attribute Control.

Active Illumination Control in Low-Light Environments using NightHawk An Image Acquisition Scheme for Visual Odometry based on Image Bracketing and Online Attribute Control

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.939061Z

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 9c300c50-c25b-4986-8407-4aa8b9edab0f · outbound

This paper cites Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning.IEEE Robotics and Automation Letters, 10(2):1609–1616, February 2025.

Active Illumination Control in Low-Light Environments using NightHawk Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning.IEEE Robotics and Automation Letters, 10(2):1609–1616, February 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.930718Z

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 838d1adf-d151-45b8-83b4-97faef30580a · outbound

This paper cites Active exposure con- trol for robust visual odometry in HDR environments.

Active Illumination Control in Low-Light Environments using NightHawk Active exposure con- trol for robust visual odometry in HDR environments

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:26:05.923186Z

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.

Pith citing papers

No inbound Pith citation observations are available.