Paper Citation Record · LEDGER

Autonomous Resource Management in Microservice Systems via Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2507.12879.

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

pith.paper-citation-record.v1
2507.12879 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:40:08.772329Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:32:34.651134Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:32:36.351154Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy21
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 095488fa-456d-4c74-bf85-0e1568dce8a1 · outbound

This paper cites Optimizing microservice orchestration using reinforcement learning for enhanced system efficiency,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Optimizing microservice orchestration using reinforcement learning for enhanced system efficiency,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:13.651385Z

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.

Observation 22902f0c-7ea6-4ed1-a15d-11c325f4e211 · outbound

This paper cites an unresolved cited work.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:40:13.350117Z

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.

Observation 9411f5ef-e005-4180-ac58-603d8f625c92 · outbound

This paper cites Delay-aware optimization of fine-grained microservice deployment and routing in edge via reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Delay-aware optimization of fine-grained microservice deployment and routing in edge via reinforcement learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:13.055960Z

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.

Observation e4d9b47c-ca1f-494f-b6c0-b574407e2916 · outbound

This paper cites Sequential recommendation via time-aware and multi-channel convolutional user modeling,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Sequential recommendation via time-aware and multi-channel convolutional user modeling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:12.825909Z

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.

Observation 1227ae49-be1e-499c-94c4-30c8c628d52c · outbound

This paper cites Collaborative optimization in federated recommendation: integrating user interests and differential privacy,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Collaborative optimization in federated recommendation: integrating user interests and differential privacy,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:12.505274Z

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.

Observation 3308bc83-9562-4cbb-b639-3dbc59520eec · outbound

This paper cites State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:06.200167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddeff678-92c7-4251-809d-485595a4e776 · outbound

This paper cites Unified instruction encoding and gradient coordination for multi-task language models,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Unified instruction encoding and gradient coordination for multi-task language models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:12.322794Z

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.

Observation 1a04878f-b58d-4da5-a110-272d7e33e478 · outbound

This paper cites Integrating cognition cost with reliability QoS for dynamic workflow scheduling using reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Integrating cognition cost with reliability QoS for dynamic workflow scheduling using reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:12.165590Z

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.

Observation 36f62da3-780e-4d97-85ce-630aeaa2c1ff · outbound

This paper cites DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice based system,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice based system,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:11.866454Z

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.

Observation 4e3152a1-e012-437c-b484-797002dfa030 · outbound

This paper cites Continuous control-based load balancing for distributed systems using TD3 reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Continuous control-based load balancing for distributed systems using TD3 reinforcement learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:11.660188Z

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.

Observation b9277a27-7c8a-4f56-b638-e47450b59002 · outbound

This paper cites Topology-aware decision making in distributed scheduling via multi-agent reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Topology-aware decision making in distributed scheduling via multi-agent reinforcement learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:11.336671Z

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.

Observation 17e207fb-a199-4bea-a984-bd1c0cd23865 · outbound

This paper cites A scalable modified deep reinforcement learning algorithm for serverless IoT microservice composition infrastructure in fog layer,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning A scalable modified deep reinforcement learning algorithm for serverless IoT microservice composition infrastructure in fog layer,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:11.116034Z

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.

Observation 60ecdd03-c766-4d0b-83c0-89e976290abd · outbound

This paper cites Sinan: ML based and QoS aware resource management for cloud microservices,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Sinan: ML based and QoS aware resource management for cloud microservices,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:10.939362Z

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.

Observation e60bd8c0-cdd1-4dc0-9d22-e9b43811722b · outbound

This paper cites AI enhanced performance optimization for microservice based systems,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning AI enhanced performance optimization for microservice based systems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:10.688823Z

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.

Observation 5582c9f9-7fd6-49b6-a8c7-c4b4f3c0a2a2 · outbound

This paper cites Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:07.338339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18143011-6149-4283-bce1-c4beffb1d389 · outbound

This paper cites A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:07.470028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dccc4f00-be83-4173-bd15-8fba8decb50c · outbound

This paper cites Deep graph modeling for performance risk detection in structured data queries,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Deep graph modeling for performance risk detection in structured data queries,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:10.499485Z

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.

Observation 325ac634-6305-404a-b9bd-15a05e8f3412 · outbound

This paper cites Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:07.671168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f9ad7d9-d01d-4dcc-be9d-f62479ad0813 · outbound

This paper cites MobileNet compression and edge computing strategy for low-latency monitoring,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning MobileNet compression and edge computing strategy for low-latency monitoring,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:10.228126Z

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.

Observation 07fbb1ef-347d-442b-aa1c-06bc19675b21 · outbound

This paper cites Distributed network traffic scheduling via trust-constrained policy learning mechanisms,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Distributed network traffic scheduling via trust-constrained policy learning mechanisms,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.928015Z

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.

Observation 0bf2f8ca-055d-49ed-97f5-ecd681fc4ee4 · outbound

This paper cites Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:08.016631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5392ce9f-15a1-4137-bc78-26212072dba0 · outbound

This paper cites A deep Q-network approach to intelligent cache management in dynamic backend environments,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning A deep Q-network approach to intelligent cache management in dynamic backend environments,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.749394Z

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.

Observation f8f035cd-58e6-460f-aea9-4f2265d1f50c · outbound

This paper cites Unsupervised anomaly detection in structured data using structure-aware diffusion mechanisms,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Unsupervised anomaly detection in structured data using structure-aware diffusion mechanisms,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.708708Z

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.

Observation ca845fb9-417d-4ab2-9201-d1ab963f423a · outbound

This paper cites Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Efficient microservice deployment in Kubernetes multi-clusters through reinforcement learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.653401Z

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.

Observation 30bab00b-914c-46b7-9a72-bf3c2b2db991 · outbound

This paper cites A cloud-based container microservices: a review on load-balancing and auto-scaling issues,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning A cloud-based container microservices: a review on load-balancing and auto-scaling issues,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.443840Z

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.

Observation 530c32eb-059a-4c60-b9cd-3d703670196a · outbound

This paper cites Multi-workflow dynamic scheduling in product design: a generalizable approach based on meta-reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Multi-workflow dynamic scheduling in product design: a generalizable approach based on meta-reinforcement learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:09.230246Z

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.

Observation dc3805fd-5880-407c-b711-982df8d1f707 · outbound

This paper cites Extracting microservices from monolithic systems using deep reinforcement learning,.

Autonomous Resource Management in Microservice Systems via Reinforcement Learning Extracting microservices from monolithic systems using deep reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:40:08.988094Z

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.

Pith citing papers

Observation 7554c17c-40ce-4967-a847-f1ff3884906a · inbound

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services cites this paper.

Artificial Intelligence-Based Multiscale Temporal Modeling for Anomaly Detection in Cloud Services Autonomous Resource Management in Microservice Systems via Reinforcement Learning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:32:36.432151Z

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.