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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 17 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 2026-08-16T06:30:59.297886+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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no resolver link, observed 2026-08-07T05:38:24.474554Z

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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raw_fallback, observed 2026-08-07T05:38:32.117143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:24.736608Z digest=sha256:b504be8ee44ec4ae7f563676854e360385b109635d179095990a0788021ad82a

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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no resolver link, observed 2026-08-07T05:38:24.882430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:24.882430Z digest=sha256:e4735cc2d479819a4a0f9e94b5fd4ab0c391f3a0dbbc26f49a370b4896ba99ff

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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no resolver link, observed 2026-08-07T05:38:25.020965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:25.020965Z digest=sha256:fc8f3c1fede6e70a68645a76ace682b868021a3f8b995f7cbe9f68b5acf5755e

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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no resolver link, observed 2026-08-07T05:38:25.143401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:25.407253Z digest=sha256:53bd41334e8e728e4202751aa02b7b0ea9777589eaf5e1d1d5230870f3d2c2a1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:25.591858Z digest=sha256:b9e8a02a663fde4387418829c75bd00dde9f41ac8841f010894e8a3cf0e49d87

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:25.793539Z digest=sha256:32bbed3b6d99595240f57d42c71952985e253d0551a11cdee85df18146e9c4cf

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

Resolution
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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.

source=pdf_text observed=2026-08-07T05:38:25.945175Z digest=sha256:f08e67f7f4a9acd8f36569e46bf089c8a72db59ac65b6114f90e6da1c1deb579

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:26.059356Z digest=sha256:5c947982ca2984a023ca630db18da901b1f2a0352f524372a70708f6a6b41a1c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:26.125930Z digest=sha256:1755b72e748ea33a0dcbfdd8fd16b18219c3112f78ee7de0019c7f4c7b298f9f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:26.186747Z digest=sha256:e0cbd106bb547be35ee8a6af397a40acdca871411cb92e98e413d9269f123520

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:26.280883Z digest=sha256:6893eade8e10398b18beaa6739dbbeb829dd49028b3499ed3f26072ce9b93a64

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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raw_fallback, observed 2026-08-07T05:38:30.924619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:26.421527Z digest=sha256:ebf35e1e88dd7f0ad669edb666d5715945531097619e7cb15ed4a2e886f6a68b

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:26.568009Z digest=sha256:3c3ea101ed3a7db3848f106e92d149f8d8037a0aadd8ca065b6ef7c9e8153817

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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no resolver link, observed 2026-08-07T05:38:26.697632Z

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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no resolver link, observed 2026-08-07T05:38:26.767653Z

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

Resolution
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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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unresolved
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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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no resolver link, observed 2026-08-07T05:38:27.189740Z

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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unresolved
no resolver link, observed 2026-08-07T05:38:27.242126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:27.242126Z digest=sha256:f7b0a898e6ca9f247ba4a44bd8950d8656317b998483b5251845114e40a48406

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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no resolver link, observed 2026-08-07T05:38:27.437029Z

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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no resolver link, observed 2026-08-07T05:38:27.509288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:27.509288Z digest=sha256:361ba557d02fe58739675e5637f0864a86010944a454b523f177302ef3d7a16e

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:27.570292Z digest=sha256:6e59cde627c0eb2cddcafe7e5c4fbc83c33fe9d1fd3e944577384a542faba638

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:27.705969Z digest=sha256:a86816f814c1c7d89748690d279071bc17b1e3f06d82f2465d14e80af4f92334

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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source=pdf_text observed=2026-08-07T05:38:27.815609Z digest=sha256:aa4992e3a1305f5ef7e27c8ff124d45b809a3f21c126585c7af56055ed909d92

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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unresolved
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source=pdf_text observed=2026-08-07T05:38:27.886547Z digest=sha256:768831fc1cfe34c4047a09d91508223126022d0e404390e44e4e9031c54a62a0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:28.036247Z digest=sha256:c836e3853ba74dd7e83e691c42700bf1f3834cc82669e0975e28832e36d0fff5

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=sha256:9c2db82bfe52f30b08ab17af61989381f60cd4a22f810287e5159769294a3aaf

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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no resolver link, observed 2026-08-07T05:38:28.181806Z

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source=pdf_text observed=2026-08-07T05:38:28.181806Z digest=sha256:1ebcd0a28c06474079ad1612caf9a22e1906d6cf2063196d603b1bbfbeaa4f2a

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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unresolved
no resolver link, observed 2026-08-07T05:38:28.255611Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:28.255611Z digest=sha256:bd62f0310ac612d3b06b8ffc7297e8595f1fc394247f92d917692864078bea6e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T05:38:28.370352Z digest=sha256:c31b38988491a1a488af09b62b0b65272998d1c8fbe12b739fde238a59afa9cc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:28.422133Z digest=sha256:2c502ef4c7a6a1c4b8e466d373db2cf0a66c57f0a2777289bd46f02b07012c84

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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unresolved
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source=pdf_text observed=2026-08-07T05:38:28.505480Z digest=sha256:f1687c50be938cdff00a2e4c30f240e73b602f645ed2dfd39255a14cddc5c49d

Pith citing papers

No inbound Pith citation observations are available.