Paper Citation Record · LEDGER

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.17838.

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

pith.paper-citation-record.v1
2607.17838 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:57:49.735527Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

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External citation measurements

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Outbound references

Observation f96cdb09-dd20-4da0-ad09-6d3bc00d6d47 · outbound

This paper cites Toward 1G Mobile Power Networks: RF, Signal, and System Designs to Make Smart Objects Autonomous,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Toward 1G Mobile Power Networks: RF, Signal, and System Designs to Make Smart Objects Autonomous,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:44.884756Z

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Observation 5886cd6e-7ab0-4ff1-8d0c-b207edbd4b13 · outbound

This paper cites A comprehensive survey on RF energy harvesting: Applications and performance determinants,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs A comprehensive survey on RF energy harvesting: Applications and performance determinants,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.024839Z

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Observation ce8e5672-cd5f-46ba-9081-f22c73d43923 · outbound

This paper cites Medium access control protocols for wireless sensor networks with energy harvesting,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Medium access control protocols for wireless sensor networks with energy harvesting,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.174747Z

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Observation d154c831-1bb5-4790-9aef-9bfbdd09a350 · outbound

This paper cites Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.336800Z

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Observation ba962d3b-a8fd-486f-b435-1f2fb646637a · outbound

This paper cites Deep Reinforcement Learning Based Blind mmWave MIMO Beam Alignment,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Deep Reinforcement Learning Based Blind mmWave MIMO Beam Alignment,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.506588Z

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Observation dbac7756-d32a-4fd1-b0b5-4edef303ab90 · outbound

This paper cites Fast mmWave Beam Alignment via Correlated Bandit Learning,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Fast mmWave Beam Alignment via Correlated Bandit Learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.644746Z

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Observation cc9917a1-a593-40b8-b32e-6e6b18ce88a6 · outbound

This paper cites Deep Recurrent Q-Network Methods for mmWave Beam Tracking Systems,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Deep Recurrent Q-Network Methods for mmWave Beam Tracking Systems,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:45.845743Z

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Observation 37013031-6f7f-4541-bdd7-8ef3b04507ab · outbound

This paper cites Adaptive beam steering in wpcns under slotted aloha via deep q-learning,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Adaptive beam steering in wpcns under slotted aloha via deep q-learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.034484Z

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Observation 1e5e39d1-e1e7-474e-9e3b-55eee1360ad1 · outbound

This paper cites On Improving Deep Reinforcement Learning for POMDPs.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs On Improving Deep Reinforcement Learning for POMDPs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.204861Z

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Observation 3acbc86a-37e2-446f-9432-76fe97f35028 · outbound

This paper cites Throughput Maximization in Wireless Powered Communication Networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Throughput Maximization in Wireless Powered Communication Networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.394754Z

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Observation b4b8948c-23d9-43cd-81ed-1490fa19316b · outbound

This paper cites Multi-Antenna Wireless Powered Communication with Energy Beamforming,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Multi-Antenna Wireless Powered Communication with Energy Beamforming,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.624753Z

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Observation eadd79ce-fd8e-44de-91f0-e8edfd77b6d4 · outbound

This paper cites Optimal resource allocation in backscatter assisted wpcn with practical energy harvesting model,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Optimal resource allocation in backscatter assisted wpcn with practical energy harvesting model,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.834828Z

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Observation b1a579f5-852a-40a2-99c8-cf189ca18f56 · outbound

This paper cites On throughput maximization of time division multiple access with energy harvesting users,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs On throughput maximization of time division multiple access with energy harvesting users,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:46.986435Z

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Observation faaf4c3c-f4e5-4bf2-811c-16d1e322ae3e · outbound

This paper cites Residual energy estimation-based mac protocol for wireless powered sensor networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Residual energy estimation-based mac protocol for wireless powered sensor networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.187300Z

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Observation d467f1fc-c9ef-4011-90cc-0eee1015060e · outbound

This paper cites Optimal resource allocation in full-duplex wireless-powered communication network,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Optimal resource allocation in full-duplex wireless-powered communication network,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.297401Z

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Observation d25f1226-3ee4-4c6d-a195-92a3f5ceafcf · outbound

This paper cites Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.445403Z

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Observation 7c8746d2-289d-4abf-806a-913b71e40255 · outbound

This paper cites On-demand energy transfer and energy-aware polling-based mac for wireless powered sensor networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs On-demand energy transfer and energy-aware polling-based mac for wireless powered sensor networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.554753Z

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Observation 75f5b577-ff53-4950-b4a8-946d8a98a401 · outbound

This paper cites Odmac: An on-demand mac protocol for energy harvesting-wireless sensor networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Odmac: An on-demand mac protocol for energy harvesting-wireless sensor networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.634940Z

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Observation c7a4ba95-357b-440c-b060-0737067bb11f · outbound

This paper cites Eri-mac: An energy-harvested receiver-initiated mac protocol for wireless sensor networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Eri-mac: An energy-harvested receiver-initiated mac protocol for wireless sensor networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.800825Z

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Observation 9561d889-8a3f-48dd-8a54-c8f1ccb19d41 · outbound

This paper cites Markov chain performance model for ieee 802.11 devices with energy harvesting source,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Markov chain performance model for ieee 802.11 devices with energy harvesting source,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:47.914826Z

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Observation 9ab213f8-9ae1-47d0-94a9-039c099c7532 · outbound

This paper cites RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.015206Z

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Observation 819108b0-d0ab-4949-8628-516eba093e36 · outbound

This paper cites Slotted ALOHA for Wireless Powered Communication Networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Slotted ALOHA for Wireless Powered Communication Networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.124750Z

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Observation fdf7dd88-f360-4c4a-8833-c05573c8bad4 · outbound

This paper cites Harvest-or-access: Slotted ALOHA for Wireless Powered Communication Networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Harvest-or-access: Slotted ALOHA for Wireless Powered Communication Networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.234811Z

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Observation 569c4fda-7cc5-4a7a-8865-0caf7c1db2c2 · outbound

This paper cites Exploring hybrid active and passive multiple access via slotted aloha-driven backscatter communications,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Exploring hybrid active and passive multiple access via slotted aloha-driven backscatter communications,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.314743Z

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Observation fe883c01-d113-4763-86ab-8fd51df0b64e · outbound

This paper cites Reinforcement Learning for Scheduling Wireless Powered Sensor Communications,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Reinforcement Learning for Scheduling Wireless Powered Sensor Communications,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.395697Z

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Observation 4a8d8182-e80f-43b9-8a97-618ccefcb0f3 · outbound

This paper cites Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.554756Z

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Observation 8502be32-0bcf-4888-a0cc-da09a5acd318 · outbound

This paper cites Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Commu- nication Networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Multi-Agent Deep Reinforcement Learning for Distributed Resource Management in Wirelessly Powered Commu- nication Networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.719755Z

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Observation 3d30572c-49e6-4457-a9b3-9f4a2e25f6c5 · outbound

This paper cites Distributed power control for large energy harvesting networks: A multi-agent deep reinforcement learning approach,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Distributed power control for large energy harvesting networks: A multi-agent deep reinforcement learning approach,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:48.835202Z

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Observation 68ecc8d1-f9f4-4d99-bba2-9512a3c59e5b · outbound

This paper cites Long-term throughput maximization in wireless powered communication networks: A multitask drl approach,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Long-term throughput maximization in wireless powered communication networks: A multitask drl approach,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.014745Z

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Observation 124cacdf-898b-49c5-8985-2ef17a0a6166 · outbound

This paper cites Wireless Networks with RF Energy Harvesting: A Contemporary Survey,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Wireless Networks with RF Energy Harvesting: A Contemporary Survey,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.264750Z

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Observation 23261fda-8f94-4d71-8141-9a9ce8c72560 · outbound

This paper cites Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.374741Z

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Observation e60b6ac7-77ac-429d-b966-c433c34b4958 · outbound

This paper cites Power Allocation and Scheduling for SWIPT Systems with Non-Linear Energy Harvesting Model,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Power Allocation and Scheduling for SWIPT Systems with Non-Linear Energy Harvesting Model,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.456350Z

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Observation 4e3863be-ffc2-4ee1-b8b2-3d870692b5d8 · outbound

This paper cites Characterisation of the Time-to-Recharge of Battery-Free RF Energy Harvesting Devices in Wireless Powered Communi- cation Networks,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Characterisation of the Time-to-Recharge of Battery-Free RF Energy Harvesting Devices in Wireless Powered Communi- cation Networks,

Reference 33

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Observation 3fa6f31c-6448-4b0a-8688-d073846b30a8 · outbound

This paper cites Recurrent Experience Replay in Distributed Reinforcement Learning,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Recurrent Experience Replay in Distributed Reinforcement Learning,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.547932Z

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Observation 9bb1efbb-758b-4c52-b198-4bfe236ab105 · outbound

This paper cites Long Short-Term Memory,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Long Short-Term Memory,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.656879Z

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Observation 56ff5557-7ad7-4a4f-9878-1eeadfcb7d10 · outbound

This paper cites Human-Level Control Through Deep Reinforcement Learning,.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs Human-Level Control Through Deep Reinforcement Learning,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:49.735527Z

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Pith citing papers

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