Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.09295.

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

pith.paper-citation-record.v1
2607.09295 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:42:00.868921Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa7bd4e1-e9cd-4e95-817e-e9c7c65bab64 · outbound

This paper cites Discovery of 6G services and resources in edge-cloud-continuum,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Discovery of 6G services and resources in edge-cloud-continuum,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.307026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a31df3-53b6-4acd-8635-2431493bff34 · outbound

This paper cites UA V-assisted MEC architecture for collab- orative task offloading in urban IoT environment,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC UA V-assisted MEC architecture for collab- orative task offloading in urban IoT environment,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.367978Z

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Observation 78b13bdc-e63c-4fe8-8e45-5fea3590e829 · outbound

This paper cites Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.460175Z

Source-reported events for the cited work

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Observation 91b5e47e-e394-4cb2-85fe-d56bf48cec6b · outbound

This paper cites Joint network slicing, routing, and in-network com- puting for energy-efficient 6G,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Joint network slicing, routing, and in-network com- puting for energy-efficient 6G,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.521023Z

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Observation 9cc5394f-2726-4c34-b4e0-ff0d651264ec · outbound

This paper cites Deep learning based service composition in integrated aerial-terrestrial networks,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Deep learning based service composition in integrated aerial-terrestrial networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.603341Z

Source-reported events for the cited work

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Observation 88707bbc-8b0a-45a5-bb8e-59f4e1a33f06 · outbound

This paper cites Energy efficient orchestration in multiple-access vehicular aerial- terrestrial 6G networks,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Energy efficient orchestration in multiple-access vehicular aerial- terrestrial 6G networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.694768Z

Source-reported events for the cited work

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Observation 85e36662-f5cf-4b64-83d6-de0df7fbabdd · outbound

This paper cites Intelligent and survivable resource slicing for 6G-oriented UA V-assisted edge computing networks,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Intelligent and survivable resource slicing for 6G-oriented UA V-assisted edge computing networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.824768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b94e37-5855-4848-9c25-9d4176a93fe2 · outbound

This paper cites Slicing- based software-defined mobile edge computing in the air,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Slicing- based software-defined mobile edge computing in the air,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.920210Z

Source-reported events for the cited work

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Observation 8a7dcd97-e597-4e5d-85c7-cfcdf578d009 · outbound

This paper cites Design of a 5G network slice extension with MEC UA Vs managed with reinforcement learning,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Design of a 5G network slice extension with MEC UA Vs managed with reinforcement learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T07:41:59.990215Z

Source-reported events for the cited work

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Observation 1927aae4-133a-4c7f-922e-5b48c4322c32 · outbound

This paper cites Service satisfaction-oriented task offloading and UA V scheduling in UA V-enabled MEC networks,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Service satisfaction-oriented task offloading and UA V scheduling in UA V-enabled MEC networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.058217Z

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Observation fc8089e9-4997-4389-8d51-a33b5ce70a87 · outbound

This paper cites QoS-oriented task offloading in NOMA-based multi- UA V cooperative MEC systems,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC QoS-oriented task offloading in NOMA-based multi- UA V cooperative MEC systems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.244748Z

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Observation 009023d7-a9f9-4f64-98c9-97482377250a · outbound

This paper cites Self-adjusting network slicing for dynamic heterogeneous task offloading in UA V-enabled mobile edge computing,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Self-adjusting network slicing for dynamic heterogeneous task offloading in UA V-enabled mobile edge computing,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.355572Z

Source-reported events for the cited work

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Observation 7ae31e9b-d7f3-468b-a82c-84b34b3a2793 · outbound

This paper cites Framework and overall objectives of the future development of IMT for 2030 and beyond,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Framework and overall objectives of the future development of IMT for 2030 and beyond,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.460326Z

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Observation b088ab61-f2dd-4931-84aa-6d671e0d3c30 · outbound

This paper cites The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.566677Z

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Observation b0a9cdb3-9c33-4cd7-8cde-fd8b2ae3cfd3 · outbound

This paper cites YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.698233Z

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Observation 56990611-35b0-49cc-b539-b00f323dfafb · outbound

This paper cites An autonomous network orchestration framework integrating large language models with continual reinforce- ment learning,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC An autonomous network orchestration framework integrating large language models with continual reinforce- ment learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.774408Z

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Observation adac6869-4073-45e2-ba01-5a9f27a5b7c1 · outbound

This paper cites Semantic-aware dynamic and distributed power allocation: a multi-UA V area coverage use case,.

Multi-Agent Reinforcement Learning for SLA-Aware Network Slicing in UAV-Enabled MEC Semantic-aware dynamic and distributed power allocation: a multi-UA V area coverage use case,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T07:42:00.868921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.