Paper Citation Record · LEDGER

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.12078.

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

pith.paper-citation-record.v1
2606.12078 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T08:45:09.342362Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

25 of 25 outbound references displayed

verified exact1
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ede848a-0ce1-482c-908c-3b0c82555626 · outbound

This paper cites Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Unavailable: canonical work link unavailable.

Observation fa801f81-eae5-44a7-a4b0-663304764ccb · outbound

This paper cites Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation b2dc10c8-e3d9-4a98-8ece-e05f5889a2df · outbound

This paper cites Framework for a Perceptive Mobile Network Using Joint Communica- tion and Radar Sensing,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Framework for a Perceptive Mobile Network Using Joint Communica- tion and Radar Sensing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 31e68af8-2926-48a8-a610-299a065e4d6c · outbound

This paper cites IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 9b3c5db4-bc90-44ea-823a-310c800ee4de · outbound

This paper cites Interference Can- cellation and Iterative Detection for Orthogonal Time Frequency Space Modulation,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Interference Can- cellation and Iterative Detection for Orthogonal Time Frequency Space Modulation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c503d15-5a07-43cd-9633-810fe956ce75 · outbound

This paper cites Gonz ´alez-Prelcic, M.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Gonz ´alez-Prelcic, M

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Unavailable: canonical work link unavailable.

Observation 569c1cf1-d78f-428a-a61f-bea3fd7ac10b · outbound

This paper cites Networked Integrated Sensing and Communications for 6G Wireless Systems,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Networked Integrated Sensing and Communications for 6G Wireless Systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Unavailable: canonical work link unavailable.

Observation 56362100-a77a-4c19-96fb-1c6a5000e5e7 · outbound

This paper cites Beamformer Design and Op- timization for Joint Communication and Full-Duplex Sensing at mm- Waves,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Beamformer Design and Op- timization for Joint Communication and Full-Duplex Sensing at mm- Waves,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

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Observation 049af698-95c5-4a41-b50c-1e63c7a1a3bf · outbound

This paper cites Integrated Sensing and Channel Estimation by Exploiting Dual Timescales for Delay-Doppler Alignment Modulation,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Integrated Sensing and Channel Estimation by Exploiting Dual Timescales for Delay-Doppler Alignment Modulation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4518c199-7c43-460a-8deb-c8586aa57974 · outbound

This paper cites Deep Learning-Based Link Configuration for Radar-Aided Multiuser mmWave Vehicle-to-Infrastructure Communication,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Deep Learning-Based Link Configuration for Radar-Aided Multiuser mmWave Vehicle-to-Infrastructure Communication,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Unavailable: canonical work link unavailable.

Observation 40d24801-cc89-4509-8814-1097475b386a · outbound

This paper cites Throughput Maximization for UA V-Enabled Integrated Periodic Sensing and Com- munication,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Throughput Maximization for UA V-Enabled Integrated Periodic Sensing and Com- munication,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation d8f28583-b9a1-4cd0-afae-1606d1cfb50b · outbound

This paper cites Asynchronous Protocol Designs for Energy Efficient Mobile Edge Computing Systems,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Asynchronous Protocol Designs for Energy Efficient Mobile Edge Computing Systems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation f6cb3741-5688-4067-8271-12bc94af06e3 · outbound

This paper cites On the Design Details of SS/PBCH, Signal Generation and PRACH in 5G-NR,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target On the Design Details of SS/PBCH, Signal Generation and PRACH in 5G-NR,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 40d0f7ab-f11f-4035-aacf-3156347bcead · outbound

This paper cites Power allocation of integrated sensing and communication system for the internet of vehicles,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Power allocation of integrated sensing and communication system for the internet of vehicles,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

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Observation 53d98934-a2a7-4536-9eb4-020dc760ef69 · outbound

This paper cites Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Sensing as a Service in 6G Perceptive Networks: A Unified Framework for ISAC Resource Allocation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 17ec33d6-3481-4370-a4be-624b2aa2f5a6 · outbound

This paper cites EKF-Based Beamforming Design for Joint Beam Tracking and Communication Systems,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target EKF-Based Beamforming Design for Joint Beam Tracking and Communication Systems,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 1fb0deab-0223-48b7-bec9-4a3e3ac3d02b · outbound

This paper cites Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural Networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580b0af5-d70c-4bf0-ac58-2759aed63eef · outbound

This paper cites Intelli- gent Beam Tracking in Radar-Assisted MIMO-OFDM Communication Systems,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Intelli- gent Beam Tracking in Radar-Assisted MIMO-OFDM Communication Systems,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation f0b78d72-ff78-4632-95b7-3bea0a7a886d · outbound

This paper cites Cooperative Multiagent Deep Reinforcement Learning Methods for UA V-Aided Mobile Edge Computing Networks,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Cooperative Multiagent Deep Reinforcement Learning Methods for UA V-Aided Mobile Edge Computing Networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

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Observation 3af72683-cb31-4d39-991b-5019cb6eaca4 · outbound

This paper cites Multiagent Deep Reinforce- ment Learning for Decentralized Multi-UA V Mobile Edge Computing Networks,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Multiagent Deep Reinforce- ment Learning for Decentralized Multi-UA V Mobile Edge Computing Networks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation f979d65c-7a66-4dec-b6b4-84604c9f2fa2 · outbound

This paper cites Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

Source-reported events for the cited work

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Observation af01ca52-ea06-4ac3-8011-3dafbd488691 · outbound

This paper cites Scaled Accuracy based Power Allocation for Multi-target Tracking with Colocated MIMO Radars,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Scaled Accuracy based Power Allocation for Multi-target Tracking with Colocated MIMO Radars,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 2e179396-d73d-4263-8dba-b6636483697a · outbound

This paper cites Posterior Cramer-Rao Bounds for Discrete-time Nonlinear Filtering,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Posterior Cramer-Rao Bounds for Discrete-time Nonlinear Filtering,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Observation 709adedb-9564-40d2-9354-47072441e2ad · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target Soft Actor-Critic Algorithms and Applications

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T12:48:11.807231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0df0fd02-9488-4505-ac72-71b325255a83 · outbound

This paper cites A prescriptive Dirichlet power allocation policy with deep reinforcement learning,.

Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile Target A prescriptive Dirichlet power allocation policy with deep reinforcement learning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T08:45:09.342362Z

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Pith citing papers

No inbound Pith citation observations are available.