Paper Citation Record · LEDGER

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2608.06025.

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

pith.paper-citation-record.v1
2608.06025 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:16:14.040475Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

28 of 28 outbound references displayed

verified exact1
verified fuzzy26
unresolved1
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7055dcc2-ea6b-419f-8455-80a7552d64cd · outbound

This paper cites Machine learning based thread pool tuning via program analysis.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Machine learning based thread pool tuning via program analysis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.784201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d00865f-3e65-428e-b999-8d1c6829f84f · outbound

This paper cites Reinforcement learning with discrete event simulation: the premise, re- ality, and promise.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Reinforcement learning with discrete event simulation: the premise, re- ality, and promise

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.687542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0b85a6e-f157-409e-9a0c-b99abbd54ee8 · outbound

This paper cites Adapt-t: An adaptive algorithm for auto- tuning worker thread pool size in application servers.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Adapt-t: An adaptive algorithm for auto- tuning worker thread pool size in application servers

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.612473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3acebf9e-a70d-42ca-a7c5-5086414373de · outbound

This paper cites Single and multi-agent deep reinforcement learning for ai-enabled wireless networks: A tutorial.IEEE Com- munications Surveys & Tutorials, 23(2):1226–1252,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Single and multi-agent deep reinforcement learning for ai-enabled wireless networks: A tutorial.IEEE Com- munications Surveys & Tutorials, 23(2):1226–1252,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.591937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d350a3e2-db05-446a-9ca0-53d9517f194d · outbound

This paper cites Flightaware - flight tracker / flight status.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Flightaware - flight tracker / flight status

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.570366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d05c332-f2ab-4ac9-b35d-8ac7fd31d251 · outbound

This paper cites [Huet al., 2024 ] Kai Hu, Mingyang Li, Zhiqiang Song, Keer Xu, Qingfeng Xia, Ning Sun, Peng Zhou, and Min Xia.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference [Huet al., 2024 ] Kai Hu, Mingyang Li, Zhiqiang Song, Keer Xu, Qingfeng Xia, Ning Sun, Peng Zhou, and Min Xia

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.550571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 801fc806-fd8f-46f0-b28b-c2199b7a20b4 · outbound

This paper cites Predicting queue wait time probabilities for multi-scale comput- ing.Philosophical Transactions of the Royal Society A, 377(2142):20180151,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Predicting queue wait time probabilities for multi-scale comput- ing.Philosophical Transactions of the Royal Society A, 377(2142):20180151,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.523407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be2b93f5-8cd0-419a-927c-c3baa1ea693a · outbound

This paper cites Adwtune: an adaptive dynamic workload tuning system with deep reinforcement learning.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Adwtune: an adaptive dynamic workload tuning system with deep reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.500139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 658b5d45-7a36-4a0d-8404-f8307c332c67 · outbound

This paper cites HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T19:16:13.946445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b92b7e-7165-4f75-bdb7-a756e272a77c · outbound

This paper cites Online thread auto-tuning for performance improvement and resource saving.IEEE Transactions on Parallel and Distributed Systems, 33(12):3746–3759,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Online thread auto-tuning for performance improvement and resource saving.IEEE Transactions on Parallel and Distributed Systems, 33(12):3746–3759,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.479015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc4b6683-2379-4d67-afac-78a8e8309abe · outbound

This paper cites An extensi- ble thread throttling method for multiple openmp parallel programs.ACM Trans.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference An extensi- ble thread throttling method for multiple openmp parallel programs.ACM Trans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.452745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6c07830-d11b-4734-a6f0-519066818577 · outbound

This paper cites Spatial/temporal locality-based load-sharing in speculative discrete event simulation on multi-core machines.ACM Transactions on Modeling and Computer Simulation, 35(1):1–31,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Spatial/temporal locality-based load-sharing in speculative discrete event simulation on multi-core machines.ACM Transactions on Modeling and Computer Simulation, 35(1):1–31,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.428845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 641773ff-84e3-4cbe-8237-c5d1a8862b19 · outbound

This paper cites Evaluating end-to- end autonomous driving architectures: a proximal policy optimization approach in simulated environments.Au- tonomous Intelligent Systems, 5(1):14,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Evaluating end-to- end autonomous driving architectures: a proximal policy optimization approach in simulated environments.Au- tonomous Intelligent Systems, 5(1):14,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.400180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b99e83d3-ce43-4d6c-a491-73570e060a01 · outbound

This paper cites Thread reinforcer: Dy- namically determining number of threads via os level monitoring.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Thread reinforcer: Dy- namically determining number of threads via os level monitoring

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.376594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71c3d0eb-90bd-4701-a9d5-782d2d7cedca · outbound

This paper cites A unified cloud-enabled discrete event parallel and distributed simulation architecture.Simulation Modelling Practice and Theory, 118:102539,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference A unified cloud-enabled discrete event parallel and distributed simulation architecture.Simulation Modelling Practice and Theory, 118:102539,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.325765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99dda9b9-7664-4a0b-b7a8-e4c785074bb5 · outbound

This paper cites Time-predictable task-to-thread mapping in multi-core processors.Journal of Systems Architecture, 148:103068,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Time-predictable task-to-thread mapping in multi-core processors.Journal of Systems Architecture, 148:103068,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.299138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 478c3f45-cbfd-4f63-bef1-4320b57702ef · outbound

This paper cites Thread pool parameters tuning us- ing simulation.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Thread pool parameters tuning us- ing simulation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.277306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e47aa53-7add-4e81-8463-3ee4345d7766 · outbound

This paper cites Mixed opinion dynamics based on degroot model and hegselmann–krause model in social networks.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1):296–308,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Mixed opinion dynamics based on degroot model and hegselmann–krause model in social networks.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1):296–308,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.246153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ce8f178-bdef-496c-9cae-dbf4bd63b1f5 · outbound

This paper cites Url: A unified reinforcement learning approach for autonomic cloud management.Journal of Parallel and Distributed Computing, 72(2):95–105,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Url: A unified reinforcement learning approach for autonomic cloud management.Journal of Parallel and Distributed Computing, 72(2):95–105,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.218215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eeba1bd2-b049-4860-99fa-46c809166417 · outbound

This paper cites A hierarchical composite framework of paral- lel discrete event simulation for modelling complex adap- tive systems.Simulation Modelling Practice and Theory, 77:141–156, 2017.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference A hierarchical composite framework of paral- lel discrete event simulation for modelling complex adap- tive systems.Simulation Modelling Practice and Theory, 77:141–156, 2017

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.177726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26cad1ed-34f0-4fb2-a478-8764b07c6597 · outbound

This paper cites Memory- efficient and adaptive heterogeneous framework for gate- level fault simulation.ACM Transactions on Design Au- tomation of Electronic Systems, 30(5):1–27,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Memory- efficient and adaptive heterogeneous framework for gate- level fault simulation.ACM Transactions on Design Au- tomation of Electronic Systems, 30(5):1–27,

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.633026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7c26ca6-a5e8-438b-b00f-d1ce8d7275d8 · outbound

This paper cites Formation flight of fixed-wing uavs: Dynamic mod- eling, guidance design, and testing in realistic scenarios.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Formation flight of fixed-wing uavs: Dynamic mod- eling, guidance design, and testing in realistic scenarios

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.352912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d835d0e-0e10-4dee-a3ad-ae983259118d · outbound

This paper cites Parallel actors and learners: A framework for generating scalable rl implementations.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Parallel actors and learners: A framework for generating scalable rl implementations

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.196153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aedd2b62-7996-47b5-bcbb-b7c34af1eb39 · outbound

This paper cites Offline and Distributional Reinforcement Learning for Wireless Communications.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Offline and Distributional Reinforcement Learning for Wireless Communications

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:16:14.152411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bb6f18c4-d35f-4408-b65b-e16fea141a16 · outbound

This paper cites Dynamic schedul- ing strategies for cloud-based load balancing in parallel and distributed systems.Journal of Cloud Computing, 14(1):33,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Dynamic schedul- ing strategies for cloud-based load balancing in parallel and distributed systems.Journal of Cloud Computing, 14(1):33,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.761456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eea91efa-0103-4bfe-b27e-86bd40f394c2 · outbound

This paper cites Ross: A high-performance, low-memory, modular time warp system.Journal of par- allel and distributed computing, 62(11):1648–1669,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Ross: A high-performance, low-memory, modular time warp system.Journal of par- allel and distributed computing, 62(11):1648–1669,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.661645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb9fe211-75b9-4011-b1d6-44b45c98407f · outbound

This paper cites Poolrunner: An extensible perfor- mance testing simulation tool for thread-pool middleware.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Poolrunner: An extensible perfor- mance testing simulation tool for thread-pool middleware

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.712167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6cd00968-d1cd-4fc7-92c4-bbdb55ff4b43 · outbound

This paper cites Residual-based attention in physics-informed neural networks.Computer Methods in Applied Mechanics and Engineering, 421:116805,.

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference Residual-based attention in physics-informed neural networks.Computer Methods in Applied Mechanics and Engineering, 421:116805,

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T19:16:14.738774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.