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Paper Citation Record · LEDGER

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.07407.

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

pith.paper-citation-record.v1
2506.07407 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:28.505480Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved25
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5fb4e6-28fe-4c08-a712-fb0e02fdfac8 · outbound

This paper cites Artificial intelligence-aided digital twin design: A systematic review,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Artificial intelligence-aided digital twin design: A systematic review,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c28f5a0b-1af2-44c2-b9bd-2e4a0c9835b5 · outbound

This paper cites HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34a7a08b-ee6c-44e4-8ecd-4eb83c6e3978 · outbound

This paper cites Autonomous anomaly detection in cloud security: Ai and dspm with machine learning,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Autonomous anomaly detection in cloud security: Ai and dspm with machine learning,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 75565041-41c5-4314-836f-8645537bc4bb · outbound

This paper cites Proactive cloud security with dspm: Ai and machine learning-based anomaly detection,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Proactive cloud security with dspm: Ai and machine learning-based anomaly detection,

Reference 4

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raw_fallback, observed 2026-08-07T05:38:31.932881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1e3af2fb-3932-4a66-9aaf-00c82dfa3df1 · outbound

This paper cites Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6dea593d-55ee-48a1-8a9d-bdc51790070d · outbound

This paper cites Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning

Reference 6

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Unavailable: canonical work link unavailable.

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Observation 9aba5ae9-4f5c-4605-8e0b-04822c380c36 · outbound

This paper cites Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Cloud-Based AI Systems: Leveraging Large Language Models for Intelligent Fault Detection and Autonomous Self-Healing

Reference 7

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Observation 45eee21b-c837-4a6a-9627-219331e7b382 · outbound

This paper cites Nlp-adbench: Nlp anomaly detection benchmark,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Nlp-adbench: Nlp anomaly detection benchmark,

Reference 8

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no resolver link, observed 2026-08-07T05:38:25.266263Z

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Observation febaf794-a457-4b29-84ab-b18a4d289d90 · outbound

This paper cites A decision-language model (dlm) for dynamic restless multi-armed bandit tasks in public health,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM A decision-language model (dlm) for dynamic restless multi-armed bandit tasks in public health,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:31.749510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fff4614e-b165-4cd3-978d-385ab430c401 · outbound

This paper cites Scalable neural network kernels,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Scalable neural network kernels,

Reference 10

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raw_fallback, observed 2026-08-07T05:38:31.600564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 96128d88-78e7-43ba-864a-ab81bd09aae8 · outbound

This paper cites RAG-RLRC-LaySum at BioLaySumm: Integrating retrieval-augmented generation and readability control for layman summarization of biomedical texts,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM RAG-RLRC-LaySum at BioLaySumm: Integrating retrieval-augmented generation and readability control for layman summarization of biomedical texts,

Reference 11

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Source-reported events for the cited work

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Observation 5d875798-6b74-4f68-aaee-197ca92525fa · outbound

This paper cites Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments

Reference 12

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no resolver link, observed 2026-08-07T05:38:25.945175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e32f6e1c-8e46-4cb4-8d35-2a8d36cc7047 · outbound

This paper cites Time series modeling for heart rate prediction: From arima to transformers,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Time series modeling for heart rate prediction: From arima to transformers,

Reference 13

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raw_fallback, observed 2026-08-07T05:38:31.466814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:26.059356Z digest=sha256:87c5a5f33a1536338c2d94fc1ecbe63f698b7c82f30dac0e11b8c218d66294b3

Observation e023f93a-10f5-43d6-9c7b-c861421dbd0b · outbound

This paper cites Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs

Reference 14

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no resolver link, observed 2026-08-07T05:38:26.125930Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:26.125930Z digest=sha256:a4fb4fdb72f0909da3ef405ca90b743e5ae265111402f4f489a26f63208c3f5c

Observation 1c4f65f9-49d9-477f-ae6c-31feb80fbd6a · outbound

This paper cites Proactive security in multi-cloud environments: A blockchain integrated real-time anomaly detection and mitigation framework,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Proactive security in multi-cloud environments: A blockchain integrated real-time anomaly detection and mitigation framework,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:31.258696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:26.186747Z digest=sha256:5646e4f815dfdc9498c78191de8321a0d55449135cc5ca4f43606abae72e3bdc

Observation c986ae05-0f39-426b-ae5a-10443cfa2f23 · outbound

This paper cites Enhancing network security in multi-cloud environments through adaptive threat detection.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Enhancing network security in multi-cloud environments through adaptive threat detection

Reference 16

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raw_fallback, observed 2026-08-07T05:38:31.098806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:26.280883Z digest=sha256:69de418e15944636cb9f8f7df91fd11bc0029a201501d4dee9dd9ad091fd9336

Observation 0c77d283-c2cb-48b9-8665-ae332bacd9be · outbound

This paper cites Security challenges in multi-cloud environments: Solutions and best practices,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Security challenges in multi-cloud environments: Solutions and best practices,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9c6366e0-a048-41f5-a750-79d01d8445b0 · outbound

This paper cites Ai-driven anomaly detection: Strengthening multi-cloud security,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Ai-driven anomaly detection: Strengthening multi-cloud security,

Reference 18

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raw_fallback, observed 2026-08-07T05:38:30.781522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 69c77629-b493-4226-a788-695369a97716 · outbound

This paper cites Research on the improvement of cyber- security early warning systems based on cloud computing platforms,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Research on the improvement of cyber- security early warning systems based on cloud computing platforms,

Reference 19

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raw_fallback, observed 2026-08-07T05:38:30.593194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ebcf92bd-a363-4e49-ac57-004d66ec4e41 · outbound

This paper cites Multi-cloud resource scheduling intelligent system with endogenous security.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Multi-cloud resource scheduling intelligent system with endogenous security

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:30.464484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:26.568009Z digest=sha256:4e5b2cb4d0bfd6e0d36a89350fa4c0a01362f1c300c1f03dd652ee9c0499b22a

Observation 6212cc58-0083-4229-904b-37bdbe65ff67 · outbound

This paper cites GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2cd7c428-c7ed-4956-9cde-495d620cc6c0 · outbound

This paper cites Self-give: Associative thinking from limited structured knowledge for enhanced large language model reasoning,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Self-give: Associative thinking from limited structured knowledge for enhanced large language model reasoning,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ae63920-f1b9-4582-a52d-9f1ea4dbd2fc · outbound

This paper cites Auto-encoding variational bayes,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Auto-encoding variational bayes,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:30.311468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 776b1efa-ad26-4013-892f-e7b6b7d9436a · outbound

This paper cites Fine-grained control of generative data aug- mentation in iot sensing,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Fine-grained control of generative data aug- mentation in iot sensing,

Reference 24

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raw_fallback, observed 2026-08-07T05:38:30.139371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3094a621-5e60-48e8-abfa-254c291f97d7 · outbound

This paper cites Exploring diverse methods in visual question answering,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Exploring diverse methods in visual question answering,

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2fa0712-4756-41d9-b15a-a152570ae638 · outbound

This paper cites Contextual hourglass network for semantic segmentation of high resolution aerial imagery,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Contextual hourglass network for semantic segmentation of high resolution aerial imagery,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f47ac669-2f43-4e5e-8844-d710efac33f7 · outbound

This paper cites Generative adversarial networks,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Generative adversarial networks,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ef4e655e-7eda-468b-9173-6841e0a82b33 · outbound

This paper cites Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b37320fe-781e-4453-9b79-df87f03939c8 · outbound

This paper cites A comparative study on enhancing prediction in social network advertisement through data augmentation,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM A comparative study on enhancing prediction in social network advertisement through data augmentation,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation edf89644-c621-4707-81a8-8eafe4c1d87d · outbound

This paper cites Style transfer: From stitching to neural networks,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Style transfer: From stitching to neural networks,

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a15ccda4-e525-40b0-a0ba-7ae9510bf705 · outbound

This paper cites Graph neural networks: A review of methods and applications,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Graph neural networks: A review of methods and applications,

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca76e42a-75c7-4c9b-9c0a-52c71e4a345e · outbound

This paper cites Handling missing sensors in topology-aware iot applications with gated graph neural network,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Handling missing sensors in topology-aware iot applications with gated graph neural network,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:29.997348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:27.570292Z digest=sha256:ec28db1ae8cb090babe1ffdffd9129b21087cb8e0ef0095363d472b28bae5304

Observation eac144b9-5a7d-440e-99b2-85f167718ade · outbound

This paper cites Influence pathway discovery on social media,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Influence pathway discovery on social media,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:29.822994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:27.705969Z digest=sha256:a8eee7c0f566b1ceacc25d89a8074e448f6e5975f9b8fabfeaac1f9ba28a7e35

Observation 5af0c448-ce6a-4e1e-9fe5-f5d2caf1148f · outbound

This paper cites Revisiting Over-smoothing in Deep GCNs.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Revisiting Over-smoothing in Deep GCNs

Reference 34

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no resolver link, observed 2026-08-07T05:38:27.776426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2f2e4ed-7b0a-49d4-8f8e-764d4f770b3e · outbound

This paper cites T-GAE: Transferable Graph Autoencoder for Network Alignment.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM T-GAE: Transferable Graph Autoencoder for Network Alignment

Reference 35

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Observation bc27cad3-b069-4457-bc99-4167ca938e41 · outbound

This paper cites GraphSnapShot: Caching Local Structure for Fast Graph Learning.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM GraphSnapShot: Caching Local Structure for Fast Graph Learning

Reference 36

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source=pdf_text observed=2026-08-07T05:38:27.886547Z digest=sha256:9af40c63015b0a3a172ab80d6d414b2fc97480b053702168b89f5ac274a13e73

Observation 2a872236-c776-47c8-b20e-882c68b1e31f · outbound

This paper cites Drtr: Distance-aware graph representation learning,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Drtr: Distance-aware graph representation learning,

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:29.574728Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e9604110-b57c-4cf8-858b-c50cae1d7b63 · outbound

This paper cites Llmeasyquant: Scalable quantization for parallel and distributed llm inference,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Llmeasyquant: Scalable quantization for parallel and distributed llm inference,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T05:38:29.310562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:28.036247Z digest=sha256:2d59ddd7d044d9fcaedb70a0ac5c9b076f9567f804f7b35526930c6b1ecd3197

Observation 1edceeba-caa0-4d5a-a285-9c7008dfc716 · outbound

This paper cites Designing Large Foundation Models for Efficient Training and Inference: A Survey.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Designing Large Foundation Models for Efficient Training and Inference: A Survey

Reference 39

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source=pdf_text observed=2026-08-07T05:38:28.131425Z digest=sha256:16c934ffb78f6141fae24eec557ecb3bd60f6ed4dc762fae576f95d0fd54f861

Observation 8119e3ef-8793-48da-9f43-d27807a8592f · outbound

This paper cites Fast- cache: Fast caching for diffusion transformer through learnable linear approximation,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Fast- cache: Fast caching for diffusion transformer through learnable linear approximation,

Reference 40

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Observation a2ca06b5-e05e-4e18-abc9-af105517dbc3 · outbound

This paper cites Mitigating the risk of health inequity exacerbated by large language models,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Mitigating the risk of health inequity exacerbated by large language models,

Reference 41

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source=pdf_text observed=2026-08-07T05:38:28.255611Z digest=sha256:f0f023dc0466db565ad0b1a60cc90bf9f42f3ee0645a252198054500d4d3b444

Observation 0762b5dc-f428-4e20-bf51-5325ef1c458e · outbound

This paper cites Unveiling markov heads in pretrained language models for offline re- inforcement learning,.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM Unveiling markov heads in pretrained language models for offline re- inforcement learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:38:29.056522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:38:28.370352Z digest=sha256:2c0227be32cb86f65a27efb29452edc1cc3a3305371b12afe6e72833201fd110

Observation 5715ba28-daf0-4a16-a551-914df9733b21 · outbound

This paper cites A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM A Stochastic GDA Method With Backtracking For Solving Nonconvex Concave Minimax Problems

Reference 43

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no resolver link, observed 2026-08-07T05:38:28.422133Z

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source=pdf_text observed=2026-08-07T05:38:28.422133Z digest=sha256:bc2f1eadb95db30f1ec5707490c908c461a958016f9a5001c5c9e46c4e3fd86c

Observation 573a0b3b-5da5-4bc5-8250-2b3704c62512 · outbound

This paper cites AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems.

Anomaly Detection and Early Warning Mechanism for Intelligent Monitoring Systems in Multi-Cloud Environments Based on LLM AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems

Reference 44

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source=pdf_text observed=2026-08-07T05:38:28.505480Z digest=sha256:80c4230bf0015d6ffb60b59ef563215085bb486346efac6f1f9412c71af596d7

Pith citing papers

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