Paper Citation Record · LEDGER

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints

As of 17 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.01745.

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

pith.paper-citation-record.v1
2608.01745 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:47:09.404512Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy19
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fe3a7b1-8a07-4cfa-8e4f-7a161a89c6c6 · outbound

This paper cites A survey of energy-efficient techniques for 5g networks and challenges ahead,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints A survey of energy-efficient techniques for 5g networks and challenges ahead,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:13.326466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3b92f91b-f0cb-48fb-b18e-1dbf68f5d19d · outbound

This paper cites Fundamental trade-offs on green wireless networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Fundamental trade-offs on green wireless networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:13.131632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbef9f3b-8504-4e1a-873c-2099d2e0eff3 · outbound

This paper cites User association for load balancing in heterogeneous cellular networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints User association for load balancing in heterogeneous cellular networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:12.921585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86e3f3b4-9c41-45c2-8665-2c3ff82144d5 · outbound

This paper cites Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:12.687179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f67cd864-3d23-4455-a972-1851cc2057ff · outbound

This paper cites Multi-agent reinforcement learning for multi- cell spectrum and power allocation,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi-agent reinforcement learning for multi- cell spectrum and power allocation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:12.424374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e807296-fdfe-4370-a668-00bde082c2e7 · outbound

This paper cites Multi-agent reinforcement learning based resource management in MEC- and UA V-assisted vehicular networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi-agent reinforcement learning based resource management in MEC- and UA V-assisted vehicular networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:12.219954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db996d96-7b49-4ad1-892c-061c52e07db9 · outbound

This paper cites Multi- agent reinforcement learning for wireless user scheduling: Performance, scalablility, and generalization,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi- agent reinforcement learning for wireless user scheduling: Performance, scalablility, and generalization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:12.012042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d8e1792-88c1-4f32-a88e-3677f3b5d34c · outbound

This paper cites Multi- agent reinforcement learning-based distributed channel access for next generation wireless networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi- agent reinforcement learning-based distributed channel access for next generation wireless networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:11.814217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4d4854a-a78b-4e9b-a4c4-755d2ccdb20c · outbound

This paper cites Qippo/ca: A quantized communication-efficient marl framework for fully distributed channel access in next-generation wireless networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Qippo/ca: A quantized communication-efficient marl framework for fully distributed channel access in next-generation wireless networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:11.628411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33b8fc9c-ff07-4125-85dd-270e18f30eca · outbound

This paper cites Multi-agent reinforcement learning for adaptive user association in dynamic mmwave networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi-agent reinforcement learning for adaptive user association in dynamic mmwave networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:11.342066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c160cfb-09fd-4be6-9cfd-09f04d7100f0 · outbound

This paper cites Re- source Management in Wireless Networks via Multi-Agent Deep Rein- forcement Learning,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Re- source Management in Wireless Networks via Multi-Agent Deep Rein- forcement Learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:11.112479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1508dad8-d138-4114-8052-86506efc9a4d · outbound

This paper cites Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:10.903091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 068e4ea6-3891-4c60-a4e8-73165853b116 · outbound

This paper cites Rate control for communication networks: shadow prices, proportional fairness and stability,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Rate control for communication networks: shadow prices, proportional fairness and stability,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:10.637925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d879d78c-6908-4761-96f0-60548b7f7c0f · outbound

This paper cites Convergence of proportional-fair sharing algorithms under general conditions,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Convergence of proportional-fair sharing algorithms under general conditions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:10.465522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2ca70a4-16b0-439c-a555-c81eae852a72 · outbound

This paper cites An offline multi-agent reinforcement learning framework for radio resource management,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints An offline multi-agent reinforcement learning framework for radio resource management,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:10.277725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec3d0851-e47c-4ef2-9688-d4d871f75754 · outbound

This paper cites Constrained policy optimization,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Constrained policy optimization,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T21:47:08.385241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e75df9c-492d-48f6-ab4f-12cc52d18ad7 · outbound

This paper cites Multi-Agent Constrained Policy Optimisation.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Multi-Agent Constrained Policy Optimisation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T21:47:08.536662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b3ffc5-1cc6-4990-ba33-6a8e0673a926 · outbound

This paper cites Neely,Stochastic network optimization with application to commu- nication and queueing systems.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Neely,Stochastic network optimization with application to commu- nication and queueing systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T21:47:08.671006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b799b2-651e-4320-8643-8a1ab7ee19d7 · outbound

This paper cites Lymarl: A lyapunov- guided multi-agent reinforcement learning framework for energy-aware radio resource management,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Lymarl: A lyapunov- guided multi-agent reinforcement learning framework for energy-aware radio resource management,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:10.106359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d46f04a-1a2d-4c1b-87ba-8bdd023b8cd3 · outbound

This paper cites Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T21:47:09.010614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb2613d-e8b1-4c95-bf48-e8a4570101cc · outbound

This paper cites Toward dynamic energy-efficient operation of cellular network infrastructure,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Toward dynamic energy-efficient operation of cellular network infrastructure,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:09.966761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 714f8f2e-300b-4dfe-8505-d00b9f5f6066 · outbound

This paper cites Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints Traffic-aware base station sleeping control and power matching for energy-delay tradeoffs in green cellular networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:09.814166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54d5250f-cdc6-45f9-b481-579d92067673 · outbound

This paper cites A quantitative measure of fairness and discrimination for resource allocation in shared systems,.

Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints A quantitative measure of fairness and discrimination for resource allocation in shared systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:47:09.662188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.