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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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

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Reference resolution

17 of 17 outbound references displayed

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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

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source=pdf_text observed=2026-08-02T07:41:59.307026Z digest=sha256:2262be798bf25d053a1bdcaece6c3aeae589ea6e72165431760df09ebcaedf81

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

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source=pdf_text observed=2026-08-02T07:41:59.367978Z digest=sha256:345f499eedb79a975de296d0301313903303430be12751f6f825f1224584f502

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

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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

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source=pdf_text observed=2026-08-02T07:41:59.521023Z digest=sha256:6c4647c15a28e45b7dbf0c680c777064260cdddfd2e3afb4b731b320a620e028

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

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source=pdf_text observed=2026-08-02T07:41:59.603341Z digest=sha256:769459d6e180bee4337e2dc9f69a142dab57bdeeacbc021de567b290277fb7ef

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

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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

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source=pdf_text observed=2026-08-02T07:41:59.824768Z digest=sha256:db70c5752b9bdae5e7938b1051d4c02a5b9fce6e9de9b7dc2a1ef2d9e2bc97a6

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Pith citing papers

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