Paper Citation Record · LEDGER

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

As of 9 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2505.16248.

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

pith.paper-citation-record.v1
2505.16248 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:34.399180Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:24.914874Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:48:41.698199Z

Reference resolution

19 of 19 outbound references displayed

verified exact2
verified fuzzy13
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62bbcf5b-adf6-4866-819a-71e3cabcb570 · outbound

This paper cites The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:38.414007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b2ea4db2-ce0a-446c-b516-3204bcc89284 · outbound

This paper cites Distributed graph neural network training: A survey,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Distributed graph neural network training: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:38.122932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d7a909e-20b4-4ced-bcd5-fda5b5d58dfd · outbound

This paper cites A comprehensive survey on distributed training of graph neural networks,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems A comprehensive survey on distributed training of graph neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:37.788378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecc97f5e-7747-42bf-b1ca-7b62b85b1c88 · outbound

This paper cites Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:32.947972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c9146d-9839-46a6-b020-aa162331b8c4 · outbound

This paper cites Federated graph neural networks: Overview, techniques, and challenges,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Federated graph neural networks: Overview, techniques, and challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:37.536273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82ac5100-0d0e-4b64-8ca4-d133eab126f2 · outbound

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

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:33.206651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a312fb-8b67-4d9d-b78e-701c7ed8f90a · outbound

This paper cites Distributed Network Traffic Scheduling via Trust-Constrained Policy Learning Mechanisms,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Distributed Network Traffic Scheduling via Trust-Constrained Policy Learning Mechanisms,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:37.290306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38c6ce1d-6273-4331-886b-26fe0705dded · outbound

This paper cites A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:33.432493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4353f6-24e0-46ae-b959-b6fdbbeaa5e2 · outbound

This paper cites Multivariate Time Series Forecasting through Automated Feature Extraction and Transformer -Based Modeling,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Multivariate Time Series Forecasting through Automated Feature Extraction and Transformer -Based Modeling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:37.027623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 703356a9-5028-4ecc-85aa-15292aef3844 · outbound

This paper cites Optimizing Distributed Computing Resources with Federated Learning: Task Scheduling and Communication Efficiency,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Optimizing Distributed Computing Resources with Federated Learning: Task Scheduling and Communication Efficiency,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:36.775467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ecb268f-112b-4e25-aad7-2b16cee69574 · outbound

This paper cites Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:33.672906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17e43c9b-8677-4ffa-9b04-f043e7bc78dc · outbound

This paper cites Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:07:34.930622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 309ba084-2cde-4a8d-a265-205028b44c6c · outbound

This paper cites Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:07:34.701766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7abf60c1-2aea-4d6c-86df-d48dc74a5419 · outbound

This paper cites Topology-Aware Decision Making in Distributed Scheduling via Multi -Agent Reinforcement Learning,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Topology-Aware Decision Making in Distributed Scheduling via Multi -Agent Reinforcement Learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:36.465026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58cff0e1-4427-45da-b5fa-430eb5aeb546 · outbound

This paper cites A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:36.187608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b6fbae7-f411-4ae2-8eab-a50a68cf7bc0 · outbound

This paper cites DQN -based intelligent controller for multiple edge domains,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems DQN -based intelligent controller for multiple edge domains,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:35.869744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b0825e2-b2d1-4858-90e0-7109571b5fac · outbound

This paper cites Graph multi -agent reinforcement learning for inverter - based active voltage control,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Graph multi -agent reinforcement learning for inverter - based active voltage control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:35.630906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fa35185-6418-4d03-a1b1-b4ac8d75a4be · outbound

This paper cites BGSD: A SBERT and GAT -based service discovery framework for heterogeneous distributed IoT,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems BGSD: A SBERT and GAT -based service discovery framework for heterogeneous distributed IoT,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:35.329650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d0be8f6-729a-4753-924f-ac6aa92ac686 · outbound

This paper cites DRL -GCNet: A Deep Reinforcement learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis,.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems DRL -GCNet: A Deep Reinforcement learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:35.108314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 71067943-0ada-48ed-a2a1-44485f76354e · inbound

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach cites this paper.

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:24.914874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Autonomous Resource Management in Microservice Systems via Reinforcement Learning cites this paper.

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 69027cdb-54f6-4d9f-afe4-d35edd8cc330 · inbound

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks cites this paper.

Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:48:41.797211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.