Paper Citation Record · LEDGER

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management

As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.05526.

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

pith.paper-citation-record.v1
2606.05526 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T00:41:10.793158Z

measured 33 of 33 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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verified fuzzy0
unresolved28
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External citation measurements

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Outbound references

Observation 5b10f87d-8f32-4d5e-809a-eda3a33dd16e · outbound

This paper cites The development from adaptive to cognitive radar resource man- agement,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management The development from adaptive to cognitive radar resource man- agement,

Reference 1

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Observation e33cdcaa-9c8b-4186-8c6d-0e7604084f28 · outbound

This paper cites Scheduling for a multifunction phased array radar system,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Scheduling for a multifunction phased array radar system,

Reference 2

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Observation 6eb77fca-dd91-434f-8452-03fa14adfc9d · outbound

This paper cites Resource management for a rotating multi-function radar,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Resource management for a rotating multi-function radar,

Reference 3

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Observation b3e75156-f688-4361-8b7b-5ab11f39eb3f · outbound

This paper cites Game-theoretic power allocation and the nash equilib- rium analysis for a multistatic mimo radar network,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Game-theoretic power allocation and the nash equilib- rium analysis for a multistatic mimo radar network,

Reference 4

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Observation 6bedf49f-9679-412a-98e2-d2ed5ea409e1 · outbound

This paper cites Intelligent m3r radar time resources man- agement: Advanced cognition, agility & autonomy capabilities,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Intelligent m3r radar time resources man- agement: Advanced cognition, agility & autonomy capabilities,

Reference 5

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Observation 5feba52c-a403-460d-b8a5-85b055bcfe09 · outbound

This paper cites Joint power and time allo- cation algorithm in multi-radar system for cooperative target detection,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Joint power and time allo- cation algorithm in multi-radar system for cooperative target detection,

Reference 6

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Observation c834d56e-8ed8-41b5-b705-bc71b090ff88 · outbound

This paper cites Scheduling multifunction radar for search and tracking,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Scheduling multifunction radar for search and tracking,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation 61b610b6-259d-4384-b3eb-6680b9b33ae6 · outbound

This paper cites Optimal balancing of multi-function radar budget for multi-target tracking using lagrangian relaxation,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Optimal balancing of multi-function radar budget for multi-target tracking using lagrangian relaxation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation 9a7e4495-e9ee-4582-884e-e3e07affec5e · outbound

This paper cites Optimal threat- based radar resource management for multitarget joint tracking and classification,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Optimal threat- based radar resource management for multitarget joint tracking and classification,

Reference 9

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Observation 3ab21fd1-50bb-46db-aab6-f61bfee7e6be · outbound

This paper cites The Arcade Learning Environment: An Evaluation Platform for General Agents.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management The Arcade Learning Environment: An Evaluation Platform for General Agents

Reference 10

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Observation 357db8ca-29a0-420c-a633-c660e0436f2d · outbound

This paper cites Deep reinforcement learning control for radar detection and tracking in congested spectral environ- ments,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Deep reinforcement learning control for radar detection and tracking in congested spectral environ- ments,

Reference 11

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Observation 5ab7fc97-47bf-4e10-a375-1024a6dfc04d · outbound

This paper cites Scene-adaptive radar tracking with deep reinforcement learning,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Scene-adaptive radar tracking with deep reinforcement learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation c9430f5e-ef80-4cf1-8821-58be24df315c · outbound

This paper cites Quality of service based radar resource management using deep reinforcement learning,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Quality of service based radar resource management using deep reinforcement learning,

Reference 13

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Observation d33cd04c-d4b6-4f9d-8266-e7b5022cd261 · outbound

This paper cites Re- inforcement learning for adaptable bandwidth tracking radars,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Re- inforcement learning for adaptable bandwidth tracking radars,

Reference 14

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Observation cadcf538-da82-4f7c-94f4-2e71190ac39e · outbound

This paper cites Deep reinforcement learning- based radar network target assignment,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Deep reinforcement learning- based radar network target assignment,

Reference 15

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Observation 81ccda70-b9f1-4a00-a980-74ee669a93ce · outbound

This paper cites Reward Constrained Policy Optimization.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Reward Constrained Policy Optimization

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-02T14:07:03.482200Z

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Observation a377cc05-2c6f-47b0-bcbe-8ab28546b86d · outbound

This paper cites Trust region policy optimization,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Trust region policy optimization,

Reference 17

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Observation 54346ced-c9ff-4c68-b724-1b6012c6d768 · outbound

This paper cites Optlayer- practical constrained optimization for deep reinforcement learn- ing in the real world,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Optlayer- practical constrained optimization for deep reinforcement learn- ing in the real world,

Reference 18

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Observation 416464b2-6199-46e6-b148-b1e9d668a66c · outbound

This paper cites Batch policy learning under constraints,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Batch policy learning under constraints,

Reference 19

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Observation 43c8c0b2-8a8f-474a-83d5-d94f2366d9fe · outbound

This paper cites Lagrangian Duality for Constrained Deep Learning.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Lagrangian Duality for Constrained Deep Learning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:07:03.484778Z

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Observation 3ac0de1f-d6d5-4408-b270-e3100ee70c38 · outbound

This paper cites Con- strained deep reinforcement learning for energy sustainable multi-UA V based random access IoT networks with NOMA,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Con- strained deep reinforcement learning for energy sustainable multi-UA V based random access IoT networks with NOMA,

Reference 21

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Observation b9bc0c72-64df-42d1-9140-479b7e9d7f2c · outbound

This paper cites Learning optimal resource allocations in wireless systems,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Learning optimal resource allocations in wireless systems,

Reference 22

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Observation 469bde41-cc93-4d84-9936-37c31d42d897 · outbound

This paper cites Learning-based resource management in integrated sensing and communication systems,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Learning-based resource management in integrated sensing and communication systems,

Reference 23

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Observation 23509817-667a-4a40-bc3a-cee748858389 · outbound

This paper cites Resource allocation for multi-target radar tracking via constrained deep reinforcement learning,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Resource allocation for multi-target radar tracking via constrained deep reinforcement learning,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation d2e25c58-40f2-4f15-bf51-e25a18326a56 · outbound

This paper cites Learning-based cognitive radar resource management for scan- ning and multi-target tracking,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Learning-based cognitive radar resource management for scan- ning and multi-target tracking,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation 6f1e322a-783a-41a0-98a1-668303d31dca · outbound

This paper cites A constrained POMDP formulation and algorithmic solution for radar re- source management in multi-target tracking,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management A constrained POMDP formulation and algorithmic solution for radar re- source management in multi-target tracking,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation cef9130f-210a-4f08-8988-644643c5daca · outbound

This paper cites Adaptive parameter control for phased-array track- ing,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Adaptive parameter control for phased-array track- ing,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation a004389d-5f3b-4198-a3d5-9437894b1992 · outbound

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Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Unresolved cited work

Reference 28

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Observation fceb4039-3014-4b8b-9681-de96f72be179 · outbound

This paper cites Meikle, Modern Radar Systems.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Meikle, Modern Radar Systems

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation d866d05c-6502-4e93-abef-66b08eb8f50f · outbound

This paper cites An Introduction to the Kalman Filter,.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management An Introduction to the Kalman Filter,

Reference 30

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Observation 22a6cf23-a9e2-4ddd-8a63-d6ed4871d6cb · outbound

This paper cites Determination of required snr values [radar detection],.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Determination of required snr values [radar detection],

Reference 31

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Observation c14e8c53-55cc-4790-8520-afb8c51fd3ce · outbound

This paper cites Altman, Constrained Markov Decision Processes.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Altman, Constrained Markov Decision Processes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T00:41:10.793158Z

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Observation 5784c4ee-a0d8-4215-99a4-5dd915704895 · outbound

This paper cites Continuous control with deep reinforcement learning.

Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management Continuous control with deep reinforcement learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-02T14:07:03.487230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.