Paper Citation Record · LEDGER

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2505.20705.

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

pith.paper-citation-record.v1
2505.20705 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:16.029661Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:33.900068Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:08:50.803459Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6c57e81-808b-4c2c-bf2e-09a9f6cc1cdd · outbound

This paper cites Fault tolerance in distributed systems using deep learning approaches,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Fault tolerance in distributed systems using deep learning approaches,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.943964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fcd227df-8be1-4b7d-8c59-96680d7b3b63 · outbound

This paper cites Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:14.410566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24bb9e27-a997-406e-91bf-4c170531e5d8 · outbound

This paper cites Analyzing data augmentation techniques for contrastive learning in recommender models,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Analyzing data augmentation techniques for contrastive learning in recommender models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.774919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e628f5bf-853b-426a-a17e-a54057508bee · outbound

This paper cites Structured preference modeling for reinforcement learning-based fine-tuning of large models,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Structured preference modeling for reinforcement learning-based fine-tuning of large models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.634620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6da57e1-1dbf-4bc2-98ea-26cbd255fc34 · outbound

This paper cites Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:14.673614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297ef2c0-6d69-4578-8ea8-269e3115fe57 · outbound

This paper cites Joint semantic detection and dissemination control of phishing attacks on social media via LLama-based modeling,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Joint semantic detection and dissemination control of phishing attacks on social media via LLama-based modeling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.467866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 368b5cd9-fe8e-40cd-8f64-920ff1c3d326 · outbound

This paper cites Deep learning-based fault prediction in wireless sensor network embedded cyber-physical systems for industrial processes,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Deep learning-based fault prediction in wireless sensor network embedded cyber-physical systems for industrial processes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.280239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2ced031-d6c2-4bbd-bd61-5cb0629beb96 · outbound

This paper cites Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:18.112644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df76640b-5d0c-40f3-86ec-a944cf69b105 · outbound

This paper cites Multivariate time series forecasting through automated feature extraction and transformer-based modeling,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Multivariate time series forecasting through automated feature extraction and transformer-based modeling,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:14.982032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d80d56-1117-4e25-8d0a-10dea7df240f · outbound

This paper cites Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.063576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101c6d09-7695-44cf-8172-37460a8e5cd4 · outbound

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

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Topology-aware decision making in distributed scheduling via multi-agent reinforcement learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.131730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335a79a5-ff5b-4d4d-b6bc-6bd38ecd34b6 · outbound

This paper cites Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:15.219870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35bf7690-d663-42b6-be0b-4d348fee7b23 · outbound

This paper cites Diffusion-transformer framework for deep mining of high-dimensional sparse data,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Diffusion-transformer framework for deep mining of high-dimensional sparse data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.925075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28601e90-851e-43f7-8a92-286ce1ac6b40 · outbound

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

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:52:16.230324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe1c9b3d-a968-4b39-98b9-3f650700a76c · outbound

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

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Distributed network traffic scheduling via trust-constrained policy learning mechanisms,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.777790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c94ec60-e0d3-4d5e-871d-76412c11d36a · outbound

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

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures A reinforcement learning approach to traffic scheduling in complex data center topologies,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.596440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aeafb651-092a-4558-abd4-21679a728a18 · outbound

This paper cites Fault detection, isolation and service restoration in modern power distribution systems: A review,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Fault detection, isolation and service restoration in modern power distribution systems: A review,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.378842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16f9d8ee-1cc5-4e98-b173-734008a79be7 · outbound

This paper cites A survey of graph- based deep learning for anomaly detection in distributed systems,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures A survey of graph- based deep learning for anomaly detection in distributed systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:17.166751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dcb1c9a-5905-40b4-bf38-3b2ddd8935df · outbound

This paper cites CNN-based transformer model for fault detection in power system networks,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures CNN-based transformer model for fault detection in power system networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:16.994779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12ff4d65-c1ec-49c2-81f5-9fe181874dce · outbound

This paper cites Semi-supervised Informer for the compound fault diagnosis of industrial robots,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Semi-supervised Informer for the compound fault diagnosis of industrial robots,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:16.755662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0eac24b2-a52c-4a14-8134-208541a86b31 · outbound

This paper cites Anomaly detection for multivariate time series based on contrastive learning and Autoformer,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Anomaly detection for multivariate time series based on contrastive learning and Autoformer,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:16.596962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9fe427e1-b07b-41aa-87ef-42a4db057fb4 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:16.416604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

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

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling cites this paper.

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 2631ef62-e452-452c-a29e-c93c78fa3ace · inbound

Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems cites this paper.

Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:37:08.638153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 e0d2704f-7b22-4049-b2b4-7d94398021a3 · inbound

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks cites this paper.

Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T22:21:59.994394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60fb3908-3883-4a24-bdf1-a2f9ff67a036 · 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 Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:08:50.883392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.