Paper Citation Record · LEDGER

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.13032.

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

pith.paper-citation-record.v1
2608.13032 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:20:01.500536Z

measured 26 of 26 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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5c6f7f3-4a37-4d6d-a918-158beeca0d35 · outbound

This paper cites Multi-objective optimization of 3-D cell deployment in sustainable B5G/6G networks: Balancing perfor- mance and sustainability,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Multi-objective optimization of 3-D cell deployment in sustainable B5G/6G networks: Balancing perfor- mance and sustainability,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:02.092572Z

Source-reported events for the cited work

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Observation cadf02fc-e83e-4680-9e00-4be34d133d1e · outbound

This paper cites Graph neural networks for quality of service improvement in interference-limited ultra-reliable and low-latency communications,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Graph neural networks for quality of service improvement in interference-limited ultra-reliable and low-latency communications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:02.070885Z

Source-reported events for the cited work

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Observation 73950fcf-e4a7-479c-ab9a-a4ad75025306 · outbound

This paper cites Multi-dimensional QoS evaluation and optimization of mobile edge computing for IoT: A survey,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Multi-dimensional QoS evaluation and optimization of mobile edge computing for IoT: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:02.051648Z

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Observation 8f09e6a1-d3dc-4065-b51b-31781b3818dd · outbound

This paper cites Energy-efficient trans- mission strategy for UA V-RIS 2.0 assisted communications using rate splitting multiple access,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Energy-efficient trans- mission strategy for UA V-RIS 2.0 assisted communications using rate splitting multiple access,

Reference 4

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Source-reported events for the cited work

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Observation ad2be0f2-00b4-4bf5-93c5-574daa577c49 · outbound

This paper cites Optimization of secure computation efficiency in UA V-enabled RIS- assisted MEC-IoT networks with aerial and ground eavesdroppers,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Optimization of secure computation efficiency in UA V-enabled RIS- assisted MEC-IoT networks with aerial and ground eavesdroppers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:02.013752Z

Source-reported events for the cited work

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Observation ceb4f766-6644-41a1-941a-f60c8d9dc7cf · outbound

This paper cites Reconfigurable intelligent surfaces: Principles and opportunities,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Reconfigurable intelligent surfaces: Principles and opportunities,

Reference 6

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Source-reported events for the cited work

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Observation 0abfb6f5-0f64-470c-aa24-55a899e1ea3a · outbound

This paper cites Reconfigurable intelligent surfaces for 6G: Emerging hardware architectures, applications, and open challenges,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Reconfigurable intelligent surfaces for 6G: Emerging hardware architectures, applications, and open challenges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.980446Z

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Observation f59d0333-756e-4c89-afb8-cf824d6d62c8 · outbound

This paper cites Interference nulling using reconfigurable intelligent surface,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Interference nulling using reconfigurable intelligent surface,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.947378Z

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 5da79e75-5fd4-4c0c-8400-fb297707f638 · outbound

This paper cites Double self- sustainable reconfigurable intelligent surfaces aided wireless communi- cations,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Double self- sustainable reconfigurable intelligent surfaces aided wireless communi- cations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.923630Z

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 48667089-d4ff-4493-8868-ba8fcfba3694 · outbound

This paper cites Weighted sum-rate maximization by joint antenna grouping and movable RIS deployment,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Weighted sum-rate maximization by joint antenna grouping and movable RIS deployment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.896170Z

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 53a49ae7-f9e7-4c9b-9c8c-99cb8376799a · outbound

This paper cites Achievable rate region maxi- mization in intelligent reflecting surfaces-assisted interference channel,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Achievable rate region maxi- mization in intelligent reflecting surfaces-assisted interference channel,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.873396Z

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 814b54a6-a4bc-4875-970a-170c5aa585a8 · outbound

This paper cites Achievable rate region of MISO interference channel aided by intelligent reflecting surface,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Achievable rate region of MISO interference channel aided by intelligent reflecting surface,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.854364Z

Source-reported events for the cited work

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Observation cc6f96d2-03f8-47de-8a44-0420b1639abc · outbound

This paper cites Energy harvesting reconfigurable intelligent surface for UA V based on robust deep reinforcement learning,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Energy harvesting reconfigurable intelligent surface for UA V based on robust deep reinforcement learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.831972Z

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 5884f39a-8ded-44ce-bf39-586f7b5ed039 · outbound

This paper cites Energy efficiency optimization for IoT systems with reconfigurable intelligent surfaces: A self-supervised reinforcement learning approach,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Energy efficiency optimization for IoT systems with reconfigurable intelligent surfaces: A self-supervised reinforcement learning approach,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.809323Z

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 b2f7da31-aeb1-4a4d-8cc2-051fa6d541d1 · outbound

This paper cites Deep reinforcement learning for practical phase-shift optimization in RIS- aided MISO URLLC systems,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Deep reinforcement learning for practical phase-shift optimization in RIS- aided MISO URLLC systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.789389Z

Source-reported events for the cited work

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Observation 495588fa-f520-4b02-a1cd-53b7f67bfa3c · outbound

This paper cites Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Learning to Focus: CSI-Free Hierarchical MARL for Reconfigurable Reflectors

Reference 16

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Observation aba98ecc-ab3c-4540-b8f4-ee5a79d1cb92 · outbound

This paper cites Multiple reconfigurable intelli- gent surfaces aided V2X offloading networks: A federated reinforcement learning-based approach,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Multiple reconfigurable intelli- gent surfaces aided V2X offloading networks: A federated reinforcement learning-based approach,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.767432Z

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 2da0e485-348e-4873-9576-89d165c9ce5a · outbound

This paper cites Joint channel estima- tion and reinforcement-learning-based resource allocation of intelligent- reflecting-surface-aided multicell mobile edge computing,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Joint channel estima- tion and reinforcement-learning-based resource allocation of intelligent- reflecting-surface-aided multicell mobile edge computing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.746595Z

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 b0149e9c-8154-4a06-b8c2-19e774390680 · outbound

This paper cites Reconfigurable intelligent surface aided mobile fog computing: A space aggregation- based Lyapunov driven reinforcement learning approach,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Reconfigurable intelligent surface aided mobile fog computing: A space aggregation- based Lyapunov driven reinforcement learning approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.724216Z

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 18e85b53-fc62-44af-8d44-715ebee8b96b · outbound

This paper cites Enhancing fog computing through intelligent reflecting surface assistance: A Lyapunov driven reinforcement learning approach,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Enhancing fog computing through intelligent reflecting surface assistance: A Lyapunov driven reinforcement learning approach,

Reference 20

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Observation cd738f9f-f1a0-41ce-b77c-885e75482dd2 · outbound

This paper cites Weighted sum- rate maximization for reconfigurable intelligent surface aided wireless networks,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Weighted sum- rate maximization for reconfigurable intelligent surface aided wireless networks,

Reference 21

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Source-reported events for the cited work

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Observation 53d150d0-7864-4a64-9791-20606e81ffa7 · outbound

This paper cites Autoencoder- based communications with reconfigurable intelligent surfaces,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Autoencoder- based communications with reconfigurable intelligent surfaces,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.669352Z

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 77019697-8683-4b2b-9d0b-8720e9dba42e · outbound

This paper cites Aerial intelligent reflecting surface: Joint placement and passive beamforming design with 3D beam flattening,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Aerial intelligent reflecting surface: Joint placement and passive beamforming design with 3D beam flattening,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.647565Z

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 4c13a846-0f2b-47f1-9019-d53968bca682 · outbound

This paper cites Lyapunov optimization based mobile edge computing for internet of vehicles systems,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Lyapunov optimization based mobile edge computing for internet of vehicles systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.624792Z

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 6a7f865a-8579-4063-b30d-c4c36f266ff7 · outbound

This paper cites Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.599324Z

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 7ece097f-ffc2-4193-953e-eca19fe655a9 · outbound

This paper cites Dynamic mobile edge computing empowered by reconfigurable intelligent surfaces,.

Pareto-Aware Hierarchical Reinforcement Learning for Online Resource Allocation in RIS-assisted Large-Scale IoT Systems Dynamic mobile edge computing empowered by reconfigurable intelligent surfaces,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:20:01.573059Z

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.

Pith citing papers

No inbound Pith citation observations are available.