Paper Citation Record · LEDGER

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2504.19499.

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

pith.paper-citation-record.v1
2504.19499 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:55:26.232434Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:59.393922Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T12:53:59.530925Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy12
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee2bb68c-aebe-4539-bfc6-2c875630ce08 · outbound

This paper cites A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:26.171659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a29d0d-87ec-4e85-8e59-18ccf5ead470 · outbound

This paper cites Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Adaptive Mobility Load Balancing Algorithm for LTE Small-Cell Networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.472149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8f06d67-96bb-4f23-8598-e5d34ef437ec · outbound

This paper cites Practical Load Balancing Algorithm for 5G Small Cell Networks Based on Real- World 5G Traffic and O-RAN Architecture,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Practical Load Balancing Algorithm for 5G Small Cell Networks Based on Real- World 5G Traffic and O-RAN Architecture,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.457526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 564c5dee-a832-40ac-9da8-ae473548570a · outbound

This paper cites Cell breathing algorithms for load bal- ancing in Wi-Fi/cellular heterogeneous networks,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Cell breathing algorithms for load bal- ancing in Wi-Fi/cellular heterogeneous networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.442403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9de525cf-861e-449b-a674-356ac22e7d45 · outbound

This paper cites Load Balancing With Traffic Splitting for QoS Enhancement in 5G HetNets,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Load Balancing With Traffic Splitting for QoS Enhancement in 5G HetNets,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.427958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56fff870-c23a-4cfc-be57-87efd3dfd4ef · outbound

This paper cites Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Probabilistic Mobility Load Balancing for Multi-Band 5G and Beyond Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.413349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4044feb6-ebb5-4148-b2f1-3472af623e52 · outbound

This paper cites Ma- chine learning-based load balancing algorithms in future heterogeneous networks: A survey,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Ma- chine learning-based load balancing algorithms in future heterogeneous networks: A survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.399928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 38025904-f0f4-45c3-89ac-c5d26bd5e009 · outbound

This paper cites Lstm based proactive access point selection and mobility load balancing for ultra- dense networks,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Lstm based proactive access point selection and mobility load balancing for ultra- dense networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.386404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eda38a0a-ccc6-4c8e-ab4e-c01d86e23d84 · outbound

This paper cites Load balancing for ultradense networks: A deep reinforcement learning-based approach,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Load balancing for ultradense networks: A deep reinforcement learning-based approach,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:26.203557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de43ae0b-7fb2-4996-9e54-42fa2b425726 · outbound

This paper cites Deep reinforcement learning-based cio and energy control for lte mobility load balancing,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Deep reinforcement learning-based cio and energy control for lte mobility load balancing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.363227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b0ea9a4-b91c-45e8-93d3-15dc86959cd7 · outbound

This paper cites Qos-aware load balancing in wireless networks using clipped double q-learning,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Qos-aware load balancing in wireless networks using clipped double q-learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.350711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df25a38c-22c5-4925-87ed-07655b5286d6 · outbound

This paper cites Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.337670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21abd084-3cf5-4f60-9ace-c0bbcab715b7 · outbound

This paper cites Artificial Intelligence in 3GPP 5G-Advanced: A Survey.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Artificial Intelligence in 3GPP 5G-Advanced: A Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:26.217887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bcd563c-8465-4634-81f0-596722a61110 · outbound

This paper cites Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Designing Heterogeneous GNNs with Desired Permutation Properties for Wireless Resource Allocation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:55:26.285812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57642e5c-3524-44f3-9905-d190981a56d3 · outbound

This paper cites System architecture for the 5G System (5GS),.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks System architecture for the 5G System (5GS),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.325204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 076d5270-df71-4983-8641-c2fb606e914a · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks,.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Semi-Supervised Classification with Graph Convolutional Networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:55:26.312949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5254f7a-6562-4b0f-8dd9-a5f895b0ee55 · outbound

This paper cites Dueling Network Architectures for Deep Reinforcement Learning.

Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks Dueling Network Architectures for Deep Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T05:55:26.232434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7f52e35a-8937-4af8-94f0-9629c1511564 · inbound

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving cites this paper.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T12:53:59.653864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.