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Paper Citation Record · LEDGER

Active Illumination Control in Low-Light Environments using NightHawk

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.798331Z digest=sha256:ce702e9d6ad9f814b4b6686635753e2728257bb133010cc53856ee088dbd57ce

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.

source=pdf_text observed=2026-08-07T10:26:05.802040Z digest=sha256:6b8d6b3f60e17368e8dc7f609f80611e0b4a14fdb0590a9495a5341812f30212

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.805273Z digest=sha256:4bbac199a930655deded0ad96e5e637e657bcdc38df5af9fb68d06fd754628c6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.808477Z digest=sha256:0a9c26e7f7852b313abcd3801122aa54483b7068b61ff89570fac0d71ad5a54a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.811465Z digest=sha256:fb3ec00d602d05df53b986aa82ed4c8a16189f475c742c29272a63512a2381f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.814247Z digest=sha256:f7598430ab1d81203632bf76c5bfbb39ebc0dcef4254bcc52e6edf793627067d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.817129Z digest=sha256:9de2545d03f7e24bb2e98a5f085fe86c774cfa821b57f667f07347fb6f3643da

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.819756Z digest=sha256:cdd844fa976f6b21ce8f02ad9066b88cf0cce620da01f17af20d84878ca5aa6f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.822168Z digest=sha256:7f2461b5410d1f0d8d139b3ef538963004e9a6aff9df533d0af527091b3a45f9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.825032Z digest=sha256:4d60cb84193d886d01c4a3087e33e53a25c3c74d5b634d8cc2ccd7126b15fdb5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.827429Z digest=sha256:c55660b2da4cc18ecb00a0b223ad4a2ce7bfb31cad5cc133ec815cfff9cff42c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.830129Z digest=sha256:f0a684e960f02a6be71bb12725f496c08780960b486c146e2bef3740bd06f8f0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.832449Z digest=sha256:a2e2cf803d99f48247cfb2d7358465eb09a40eb4eb7dd1a525dcf74e6635df36

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.836631Z digest=sha256:505ee557e86ab83ef23dac25b38174a695f811faa8067c37eb0e54178ffa1347

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.839147Z digest=sha256:0917fa1d9dc8c0eedf10445ac13c19bdc31c87add384ed7c9036722d09fbf9db

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.841689Z digest=sha256:5254f04b90bee828d0688e975c5db77aac1014d3b63516d168fd196506444bd7

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.

source=pdf_text observed=2026-08-07T10:26:05.844635Z digest=sha256:00851061c44a62c4b97fb7c705f4245128b04f2511069c6b302914363a7cb51e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.848220Z digest=sha256:1452b4172b9dccc9cfe7e7bd3f7b78337d3f5f588a3c24735fa47b6b4956c03e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.850683Z digest=sha256:e9ad493ace594efd545cab2d845c8ea69c407d200498e3ff454cb84826f1fdcb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.854160Z digest=sha256:355520c45f542a2fc400f0b9f6947aa84f94d76ec372b18e0416f40d91775187

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.856676Z digest=sha256:9e1b08bd6b3feb33835b81cae34270984028be139cc799778c6b4aca1bc09adc

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.

source=pdf_text observed=2026-08-07T10:26:05.859790Z digest=sha256:8882ee54c73f6b328785776c1d582a15b729590cf7934e1b3fa7320aecded320

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.862697Z digest=sha256:a01fa70e8fbcc116f5202a3cb4283c9f51a72a3d5f6dc699295c9e699974b48d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.866135Z digest=sha256:c16a559d6ac247501a473277624eaf72f3b15d72653f4befe60bbfcd815f2924

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.868628Z digest=sha256:e413ef19d984ff4870eccc71abaf3b4f660c0c512984cc67b245158dc5e0888d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T10:26:05.872004Z digest=sha256:4e22fed12ffa3983ef9a25d51fe1d0005947de1eaaef354f1ccd7e39de01e01e

Pith citing papers

No inbound Pith citation observations are available.