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Paper Citation Record · LEDGER

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2509.10474.

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

pith.paper-citation-record.v1
2509.10474 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:45:59.171024Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7b9194f-ecd1-443c-91ea-8d451e0095b5 · outbound

This paper cites an unresolved cited work.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 32f86494-404a-4b00-9086-5ce60d5e9f7f · outbound

This paper cites Deep reinforcement learning based computa- tion offloading and resource allocation for mec.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Deep reinforcement learning based computa- tion offloading and resource allocation for mec

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aea3afa1-ccbd-4f07-833b-651937fedc0b · outbound

This paper cites Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Optimal Task Assignment and Power Allocation for NOMA Mobile-Edge Computing Networks

Reference 3

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Observation 7a76ca0c-2e29-4d4b-aefe-095b8aa7a6c7 · outbound

This paper cites Joint task offloading and resource allocation for multi-server mobile-edge computing networks.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Joint task offloading and resource allocation for multi-server mobile-edge computing networks

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 086f256a-8ecb-4719-9bd9-6cb5b1ae4691 · outbound

This paper cites Latency and energy optimization for mec enhanced sat-iot networks.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Latency and energy optimization for mec enhanced sat-iot networks

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ba0ed769-d6a5-4474-bfb1-f785b667533a · outbound

This paper cites Multiuser resource control with deep reinforcement learning in iot edge computing.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Multiuser resource control with deep reinforcement learning in iot edge computing

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a0bdd881-3385-474c-8b47-60f2e766c7aa · outbound

This paper cites Stacked autoencoder-based deep reinforcement learning for online resource scheduling in large-scale mec networks.IEEE Internet of Things J., 7(10):9278–9290, 2020.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Stacked autoencoder-based deep reinforcement learning for online resource scheduling in large-scale mec networks.IEEE Internet of Things J., 7(10):9278–9290, 2020

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9bf8e18f-dc93-487d-9b3a-c1b1777a25d8 · outbound

This paper cites A survey of multi-objective sequential decision-making.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A survey of multi-objective sequential decision-making

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 21653ce9-eab0-4800-a246-8f7427b0304f · outbound

This paper cites A generalized algorithm for multi- objective reinforcement learning and policy adaptation.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A generalized algorithm for multi- objective reinforcement learning and policy adaptation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4bd5a2ee-c1f7-4357-a13e-ac9c99930f87 · outbound

This paper cites Offloading and resource allocation with gen- eral task graph in mobile edge computing: A deep reinforcement learning approach.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Offloading and resource allocation with gen- eral task graph in mobile edge computing: A deep reinforcement learning approach

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 477080f3-c6b3-435b-a461-ad20bf26eb6f · outbound

This paper cites Gasto: A fast adaptive graph learning framework for edge computing empowered task offloading.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Gasto: A fast adaptive graph learning framework for edge computing empowered task offloading

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b7508013-69b5-4d07-8ebc-9a7cb433ed35 · outbound

This paper cites Fast adaptive task offloading and resource allocation in large-scale mec systems via multi-agent graph reinforcement learning.IEEE Internet of Things Journal, 2023.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Fast adaptive task offloading and resource allocation in large-scale mec systems via multi-agent graph reinforcement learning.IEEE Internet of Things Journal, 2023

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 028f285b-bd85-4316-b8ad-fa6651a6a513 · outbound

This paper cites an unresolved cited work.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d25cefe1-9757-4bcb-aa78-a5bd36d1c37d · outbound

This paper cites Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks.IEEE Transac- tions on Mobile Computing, 19(11):2581–2593, 2019.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks.IEEE Transac- tions on Mobile Computing, 19(11):2581–2593, 2019

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ebded80a-5948-4f94-a989-09100b04455e · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Domain randomization for transferring deep neural networks from simulation to the real world

Reference 15

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Source-reported events for the cited work

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Observation d5ca0801-9a36-456b-9344-8e4aca923fdc · outbound

This paper cites A practical guide to multi-objective reinforcement learning and planning.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A practical guide to multi-objective reinforcement learning and planning

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 121605d9-f04c-4902-b43f-7415e9ee3f99 · outbound

This paper cites A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Reference 17

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Source-reported events for the cited work

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Observation 2efbddf4-8fe1-4162-b334-dc87e1f0a4f6 · outbound

This paper cites Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Why generalization in rl is difficult: Epistemic pomdps and implicit partial observability

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e3b5467c-0fc0-4103-bea1-5d6137ff0dc8 · outbound

This paper cites Deep reinforcement learning for collaborative offloading in heterogeneous edge networks.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Deep reinforcement learning for collaborative offloading in heterogeneous edge networks

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation be6bcee6-d9b3-4f91-bf17-1a06b233dad6 · outbound

This paper cites Distributed resource schedul- ing for large-scale mec systems: A multiagent ensemble deep reinforcement learning with imitation acceleration.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Distributed resource schedul- ing for large-scale mec systems: A multiagent ensemble deep reinforcement learning with imitation acceleration

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8588e67c-41da-42c2-a05c-19b8d049a6f9 · outbound

This paper cites Fast adaptive task offloading in edge computing based on meta reinforcement learning.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Fast adaptive task offloading in edge computing based on meta reinforcement learning

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4b1d4023-98d8-4bb4-8954-9c55ded285dc · outbound

This paper cites A scalable com- putation offloading scheme for mec based on graph neural networks.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A scalable com- putation offloading scheme for mec based on graph neural networks

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d6302117-57c1-41b5-8a37-ac7ac7cfa729 · outbound

This paper cites Achieving fast environment adap- tation of drl-based computation offloading in mobile edge computing.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Achieving fast environment adap- tation of drl-based computation offloading in mobile edge computing

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e215ba17-344e-4d50-bc67-4135d3f6b60d · outbound

This paper cites Multi-objective deep reinforcement learning for mobile edge computing.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Multi-objective deep reinforcement learning for mobile edge computing

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b8e4e654-f9f1-4550-8b4a-48003a6b1fc2 · outbound

This paper cites Attention-based deep reinforcement learning for edge user allocation.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Attention-based deep reinforcement learning for edge user allocation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 03294243-ea2a-4c88-a85c-07dc470b825d · outbound

This paper cites Joint computation offloading and multiuser scheduling using approximate dynamic programming in nb-iot edge computing system.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Joint computation offloading and multiuser scheduling using approximate dynamic programming in nb-iot edge computing system

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 17db68ac-9a7f-49f1-85ce-8d7afc10d963 · outbound

This paper cites an unresolved cited work.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Unresolved cited work

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0d769ee8-dc19-4d00-83f7-6cf8bf25ae77 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Policy gradient methods for reinforcement learning with function approximation

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fd073855-f9c5-42f0-b93a-14c5a3161913 · outbound

This paper cites Soft Actor-Critic for Discrete Action Settings.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Soft Actor-Critic for Discrete Action Settings

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:45:59.079116Z digest=sha256:3d6562cb9315fc881ef3690e71f8d880de4a2187d27e74d61f6112e8b3877cb4

Observation d62d36ac-477c-4433-870b-7b30036cb68b · outbound

This paper cites Policy gradient approaches for multi-objective sequential decision making.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Policy gradient approaches for multi-objective sequential decision making

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 95db9a2e-e657-40be-914e-8b7919a5dd54 · outbound

This paper cites IEEE Std 802.11a-1999 , pages 1–102, 1999.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing IEEE Std 802.11a-1999 , pages 1–102, 1999

Reference 31

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raw_fallback, observed 2026-08-05T15:45:59.750117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.091483Z digest=sha256:52d2e91cc323087f023c7f7d53ed182031e8937fb4f562b5830dbb5509deeb72

Observation c0493b91-8311-4337-a1af-fa32b360b87b · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A contextual-bandit approach to personalized news article recommendation

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.099703Z digest=sha256:d440768ea6d1b680e07b5d9f55e677c72ba9975e7dd160ba71969571c2a37f54

Observation a37da4c7-cb86-47b0-b6c2-977d41f66c03 · outbound

This paper cites Task replication for vehicular cloud: Contextual combinatorial bandit with delayed feedback.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Task replication for vehicular cloud: Contextual combinatorial bandit with delayed feedback

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.699378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.107946Z digest=sha256:c758535b648bdce8ee2479b79920f40cd42c9e967a57dc1466cb87b264a55e85

Observation 3467b482-9bd5-499c-9f0b-17374f194697 · outbound

This paper cites Collaboration-aware relay selec- tion for auv in internet of underwater network: Evolving contextual bandit learning approach.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Collaboration-aware relay selec- tion for auv in internet of underwater network: Evolving contextual bandit learning approach

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.675372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.121441Z digest=sha256:fb98c2b27478d6e5f7261f6ff20b3ae132988eeea55095267c72b4caa8f1b8be

Observation 0762eb1b-e3cc-4dc3-865d-991c7e296955 · outbound

This paper cites Computation rate maximization for wireless powered mobile- edge computing with binary computation offloading.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Computation rate maximization for wireless powered mobile- edge computing with binary computation offloading

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.635242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.134528Z digest=sha256:a6485ca281d272cccaa4e20e55bc8b552ca036c3bf525a9a5475720799a71631

Observation 9e3abb8f-0de1-4c50-b648-500a572c93cf · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A fast and elitist multiobjective genetic algorithm: Nsga-ii

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.584751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.140119Z digest=sha256:0aada5fbe2bcb6552853dd4f007d74eb294462abc6f8a8f347a8a0522456843a

Observation 28f01825-3536-43d5-93d4-42f2b127afe7 · outbound

This paper cites A comprehensive survey on nsga-ii for multi-objective optimization and applications.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing A comprehensive survey on nsga-ii for multi-objective optimization and applications

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.513328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.151001Z digest=sha256:799b89a1f9ba54a9795ca6b271dd4d3339e8d21adca701e975e2ef5d60b3633a

Observation 7e320d4b-f295-4120-a6ef-601a07eccd5a · outbound

This paper cites Multi-objective reinforcement learning using sets of pareto dominating policies.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing Multi-objective reinforcement learning using sets of pareto dominating policies

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.464740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.165263Z digest=sha256:865798ac5cb1fe3f51433076555ebda1447f72f3d9e18d2bf29868a19979463e

Observation e9cc239d-fe7a-41df-a453-ecd5e579082f · outbound

This paper cites X m∈M γm(ωT Tm(πt) + ωEEm(πt)) # −.

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing X m∈M γm(ωT Tm(πt) + ωEEm(πt)) # −

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:45:59.410526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T15:45:59.171024Z digest=sha256:e16763ad9d78a21275f4e9c7154e4e8f4c450483de6432b6248c9460b46b58d5

Pith citing papers

No inbound Pith citation observations are available.