Paper Citation Record · LEDGER

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2504.17590.

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

pith.paper-citation-record.v1
2504.17590 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:25.881677Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:10:14.749361Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:21:20.500757Z

Reference resolution

15 of 15 outbound references displayed

verified exact2
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7b4bf71-914e-42b8-91d3-c5114641be78 · outbound

This paper cites Banafaa, et al ”6G mobile communication technology: requirements, targets, applications, challenges, advantages, and opportunities”, Alexan- dria Eng.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Banafaa, et al ”6G mobile communication technology: requirements, targets, applications, challenges, advantages, and opportunities”, Alexan- dria Eng

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.125685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bbb0851-7898-431c-af56-f33c14554949 · outbound

This paper cites Papidas, et al, ”Self-Organizing Networks for 5G and Be- yond: A View from the Top” Future Internet 14, no.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Papidas, et al, ”Self-Organizing Networks for 5G and Be- yond: A View from the Top” Future Internet 14, no

Reference 2

Resolution: verified exact; doi, observed 2026-08-16T10:40:25.952575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c3e6768-2d58-40e1-9e17-b2ad3a70edcc · outbound

This paper cites an unresolved cited work.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:25.834144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e26bc06-686e-4644-8dd0-3929e0c2f43b · outbound

This paper cites an unresolved cited work.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:40:26.112971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc148e50-eaba-4f00-8c2e-22f5c7493482 · outbound

This paper cites Use Cases and Overall Architecture Specification,.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Use Cases and Overall Architecture Specification,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.100869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e36b992-1106-4fe6-ac56-cd43c48c030a · outbound

This paper cites O-RAN Control, User and Synchronization Plane Specification,.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach O-RAN Control, User and Synchronization Plane Specification,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.089180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7c2cdff-aa33-48f1-acea-913ec0e9c0b7 · outbound

This paper cites Wu et al., ”AI-Native Network Slicing for 6G Networks,” in IEEE Wireless Communications, vol.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Wu et al., ”AI-Native Network Slicing for 6G Networks,” in IEEE Wireless Communications, vol

Reference 7

Resolution: verified exact; doi, observed 2026-08-16T10:40:25.941585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 379a1a9b-be7f-4174-9eb8-ff8cfb7853e3 · outbound

This paper cites O-RAN Operations and Maintenance Interface Spec- ification,.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach O-RAN Operations and Maintenance Interface Spec- ification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.076733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99345f13-59d3-4b0a-916c-f8539714adee · outbound

This paper cites an unresolved cited work.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:40:26.064001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 723155bb-f9a6-484c-8f5d-5dbb7c4f6fc3 · outbound

This paper cites Zhang, Z.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Zhang, Z

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:25.861929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7158a4d-3c7e-4448-bf5a-ac91c8e001dc · outbound

This paper cites Gronauer, et al, ”Multi-agent deep reinforcement learning: a survey” 55, 895–943 (2022).

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Gronauer, et al, ”Multi-agent deep reinforcement learning: a survey” 55, 895–943 (2022)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:25.866199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae71603-2dce-4d7e-aa4e-17f17cefccfb · outbound

This paper cites Zhang, et al.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Zhang, et al

Reference 12

Resolution: malformed identifier; doi_truncated, observed 2026-08-16T10:40:25.914627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9f710bd4-fda2-457b-abbc-06b4d2951414 · outbound

This paper cites Attention Is All You Need.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Attention Is All You Need

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:25.873843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dfb1b5d-190a-4aac-9cef-89edadd25f4c · outbound

This paper cites Jiang, et al, ”Graph Convolutional Reinforcement Learning”, Interna- tional Conference on Learning Representations, 2020.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Jiang, et al, ”Graph Convolutional Reinforcement Learning”, Interna- tional Conference on Learning Representations, 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.052331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5ae2fd77-085c-4a03-92d9-9a59e7ca37e0 · outbound

This paper cites Bonati, et al, ”Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation”, Proc.

Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach Bonati, et al, ”Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation”, Proc

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:40:26.039810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation d1661313-087b-420c-a792-74d0ac533ed7 · inbound

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks cites this paper.

Proactive AI-and-RAN Workload Orchestration in O-RAN Architectures for 6G Networks Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:14.749361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3df8eed7-45a3-4547-8b35-49abfb5d2573 · inbound

ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks cites this paper.

ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:20.575835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81def86d-a950-4c42-935d-c25cd5d7cb3c · inbound

Sutured manifold hierarchies and the Thurston norm cites this paper.

Sutured manifold hierarchies and the Thurston norm Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T19:30:54.093449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.