Paper Citation Record · LEDGER

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2507.00550.

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

pith.paper-citation-record.v1
2507.00550 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:34.409075Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:08:47.150850Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:10:17.499146Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy24
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7de1ff7-37d6-472d-aa6f-ff640ba39e43 · outbound

This paper cites A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:32.361633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35548172-9e6b-4d72-a471-eeb9dcd0fe0c · outbound

This paper cites Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:38.095309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f42f6be7-b0ee-4181-9dfb-b789aa82c732 · outbound

This paper cites A meta-learning framework for cross-service elastic scaling in cloud environments,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling A meta-learning framework for cross-service elastic scaling in cloud environments,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.923565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f6fd216-957f-4bbe-ad57-0d4aed1b2735 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Collaborative optimization in federated recommendation: Integrating user interests and differential privacy,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.762632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff1e185b-05ee-4a8d-ae83-9917672c77a4 · outbound

This paper cites Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:18:34.573876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b6a2768c-76bf-4b0f-bfb6-1c647e881bd5 · outbound

This paper cites A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.608740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f661b783-5113-4f47-962c-f07ef53e871e · outbound

This paper cites Machine learning for energy- resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Machine learning for energy- resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.444469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30009b72-f83a-4f83-9de7-fd637ef44081 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Continuous control-based load balancing for distributed systems using TD3 reinforcement learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.307724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a031d180-03d2-4220-ad35-51c13963d615 · outbound

This paper cites Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.171684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 85629726-ae0f-4b76-a642-45f39eff0dc7 · outbound

This paper cites DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:37.064090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4aff8a2f-a10d-42c0-95b7-f061cd473413 · outbound

This paper cites Self-attention-based modeling of multi-source metrics for performance trend prediction in cloud systems,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Self-attention-based modeling of multi-source metrics for performance trend prediction in cloud systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.938470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d4f9cb4-a508-4317-bbd4-4cd36ad0c1b1 · outbound

This paper cites Single-device human activity recognition based on spatiotemporal feature learning networks,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Single-device human activity recognition based on spatiotemporal feature learning networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.787369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a6b720be-59d4-4483-a6bb-5ac4531023a8 · outbound

This paper cites Adaptive and efficient resource allocation in cloud datacenters using actor-critic deep reinforcement learning,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Adaptive and efficient resource allocation in cloud datacenters using actor-critic deep reinforcement learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.648656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e37aa162-3058-4763-b371-b7a48bf04bbb · outbound

This paper cites Deep reinforcement learning for energy and time optimized scheduling of precedence- constrained tasks in edge–cloud computing environments,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Deep reinforcement learning for energy and time optimized scheduling of precedence- constrained tasks in edge–cloud computing environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.500322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa2f01e9-d7af-4ddc-b9d3-82ebd29a2221 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Topology-aware decision making in distributed scheduling via multi-agent reinforcement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.376510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb5d7453-dd10-4b9e-a016-826e3ea9e280 · outbound

This paper cites SCN-DRL: Scheduler for large-scale Critical Notification applications based on Deep Reinforcement Learning,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling SCN-DRL: Scheduler for large-scale Critical Notification applications based on Deep Reinforcement Learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.213457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb96c49f-3b20-400c-bf83-5864a7c4553c · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Distributed network traffic scheduling via trust-constrained policy learning mechanisms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:36.034191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1252a858-6574-4a42-9153-cfc57f8e3d98 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Anomaly detection in microservice environments via conditional multiscale GANs and adaptive temporal autoencoders,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.889574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14e9f319-5070-4a26-9012-af4bcea525f3 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling A deep learning-based predictive framework for backend latency using AI-augmented structured modeling,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.777148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1e2b7a26-6263-4843-8dd5-c7db61b6c341 · outbound

This paper cites Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:33.829883Z

Source-reported events for the cited work

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Observation c84fe0b3-880e-4df1-871e-0eedf2bd426a · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:33.900068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497efb0b-b33a-4ffa-bbdf-e6c1ad016f65 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Unsupervised anomaly detection in structured data using structure-aware diffusion mechanisms,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.655352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35860c54-3c9b-4645-b61d-64b4ce865de9 · outbound

This paper cites A reinforcement learning approach to traffic scheduling in complex data center topologies,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling A reinforcement learning approach to traffic scheduling in complex data center topologies,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.518474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d485f702-f093-4355-ba3e-795590486405 · outbound

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling MobileNet compression and edge computing strategy for low- latency monitoring,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.391325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54e4320e-bfaa-40de-ac9a-4074d5c2996b · outbound

This paper cites Extending CloudSim to simulate sensor networks,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Extending CloudSim to simulate sensor networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.242804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8070f906-4abc-412d-9824-7699770c6391 · outbound

This paper cites Bootstrapped structural prompting for analogical reasoning in pretrained language models,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Bootstrapped structural prompting for analogical reasoning in pretrained language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:35.083469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79ec03f1-9bd1-4684-ab61-91e433cb2518 · outbound

This paper cites Resource management with deep reinforcement learning,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Resource management with deep reinforcement learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:34.922908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22dcc6a3-bb02-43fe-a392-bd80b861ed8a · outbound

This paper cites Autoscale: Energy efficiency optimization for stochastic edge inference using reinforcement learning,.

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling Autoscale: Energy efficiency optimization for stochastic edge inference using reinforcement learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:34.729140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation ec736c62-ee13-4f39-8936-c807ce0ecdd5 · inbound

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery cites this paper.

Graph Neural Network and Transformer Integration for Unsupervised System Anomaly Discovery Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:47.150850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f16cdce-ec02-4042-94e8-79a645d54490 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:10:17.584756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.