Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:13.602868Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.02458.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:13.602868Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d0c45a2c-0411-4f2b-9739-87b5bbfbfcfe · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Toward a unified elastic computing platform for smartphones with cloud support.IEEE Network, 27(5):34–40, 2013
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f7dda1f4-c496-47ce-9525-fc21c7212473 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization The emergence of edge computing.Com- puter, 50(1):30–39, 2017
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 32f16a89-92dd-4e92-8275-619ee6eeebbb · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Online learning for offloading and autoscaling in energy harvesting mobile edge computing, 2017
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c649df4e-fb9a-43e5-8237-d00c79eaa4f0 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6840f75e-eb84-411d-8924-42f4f04e9745 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Unresolved cited work
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7bf78ec2-c90c-43c9-b722-978e9d2fe0c2 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Rusu, Joel Veness, Marc G
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 171e158d-bdab-46bf-add8-a14dd5ff9e68 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach.EURASIP J
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 80c91fd1-3e81-4a7b-98b5-5da901dbfe9e · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 95823bd1-aeb0-4c25-9000-c060daa1fd55 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Power- delay tradeoff in multi-user mobile-edge computing systems.2016 IEEE Global Communications Conference (GLOBECOM), pages 1–6, 2016
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cd7e657b-4621-43f9-acaf-7f29a147079f · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2bc1882d-ebd4-4e45-9195-a32ee7c25e6a · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Prasobh Sankar and Sundeep Prabhakar Chepuri
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a46f3b8a-2760-46b5-8f3e-7b0b8a5729cd · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Larsson, and Thomas L
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cd358bd2-5326-4f89-9c45-a02fc1a14331 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Dream: Dynamic resource and task allocation for energy minimization in mobile cloud systems.IEEE Journal on Selected Areas in Communications, 33(12):2510–2523, 2015
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0c4d1f93-b724-40b6-889c-3d4724eaa1fb · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Burd and Robert W
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1b1dc5ab-f227-4719-8427-c1ce445021c0 · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Miettinen and Jukka K
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a1c7c12a-1436-4b1f-bb11-badb13dc4e5c · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Shortle, James M
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac172ac7-5a73-492d-8c41-50eba1747ebc · outbound
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization Continuous control with deep reinforcement learning
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.