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Paper Citation Record · LEDGER

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms

As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.17900.

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

pith.paper-citation-record.v1
2506.17900 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:58.144824Z

measured 40 of 40 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:40:56.020296Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy20
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 675392d0-4ee4-4503-a76e-6cc20f293ee5 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models

Reference 1

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unresolved
no resolver link, observed 2026-08-06T23:28:50.554057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a6ff9f6-2caa-4e0a-9115-a7d8a7294d8c · outbound

This paper cites Revolutionizing cloud modernization through ai integra- tion,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Revolutionizing cloud modernization through ai integra- tion,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:09.225291Z

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.

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Observation 7fd9b66d-d1e2-4998-9ddc-4d868b9d47de · outbound

This paper cites Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling

Reference 3

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Source-reported events for the cited work

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

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Observation 3ca8f777-055e-4b6a-82ec-10a27da2f29f · outbound

This paper cites Integrating ai/ml in cybersecurity: An analysis of open xdr technology and its application in intrusion detection and system log management,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Integrating ai/ml in cybersecurity: An analysis of open xdr technology and its application in intrusion detection and system log management,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:09.039719Z

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.

source=pdf_text observed=2026-08-06T23:28:51.075280Z digest=sha256:f10705a35d500bea2de23a9f53626eb2db326a1a75bea74cdedade3a8ca8b284

Observation c11b5150-d20b-4263-ada3-5d52c1690fb5 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 5

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no resolver link, observed 2026-08-06T23:28:51.284744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87c6602d-7eca-4667-9ff1-390592ee8700 · outbound

This paper cites Machine learning algorithms-a review,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Machine learning algorithms-a review,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:08.844753Z

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.

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Observation 3d1dda49-b2de-40af-b297-81a71d9456f3 · outbound

This paper cites The Llama 3 Herd of Models.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms The Llama 3 Herd of Models

Reference 7

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no resolver link, observed 2026-08-06T23:28:51.684749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a781e80c-ff65-4366-8cb2-c8d2aef4ecc7 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Exploring diverse methods in visual question answering,

Reference 8

Resolution
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raw_fallback, observed 2026-08-06T23:29:08.512352Z

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.

source=pdf_text observed=2026-08-06T23:28:51.964865Z digest=sha256:d52be75b4fdaa0102fc9f18828b62f08e49b0aa97d304238e00831be2a9e25c8

Observation 2b3ca8cc-658a-4059-b367-2d7aa4184378 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Style transfer: From stitching to neural networks,

Reference 9

Resolution
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raw_fallback, observed 2026-08-06T23:29:07.933041Z

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.

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Observation 3c3254e3-c1d7-4a94-90a8-a880c003b852 · outbound

This paper cites Generative adversarial nets,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Generative adversarial nets,

Reference 10

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no resolver link, observed 2026-08-06T23:28:52.324825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41212f02-8299-4d83-80f6-f3091c56da4a · outbound

This paper cites Variational autoencoder,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Variational autoencoder,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation daedc992-5987-48aa-bf17-3e4c3a582ee6 · outbound

This paper cites Covid-19 localization and recognition on chest radiographs based on yolov5 and efficientnet,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Covid-19 localization and recognition on chest radiographs based on yolov5 and efficientnet,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:07.284754Z

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.

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Observation 65d94f49-3d52-4b68-9d1f-c912dffc907b · outbound

This paper cites Towards real-time and personalized code generation,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Towards real-time and personalized code generation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:06.904956Z

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.

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Observation 1828d1de-f154-4172-b1ba-04510fc64468 · outbound

This paper cites Machine learning: Trends, perspec- tives, and prospects,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Machine learning: Trends, perspec- tives, and prospects,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:06.594753Z

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.

source=pdf_text observed=2026-08-06T23:28:53.124865Z digest=sha256:ae66bd6f13926a96f35279c56b2d8ba1128bb2602b67f471a1c7f2dc083fdf18

Observation 6c367532-9036-408b-8412-cfc25d8c56e8 · outbound

This paper cites An ensemble approach to stock price prediction using deep learning and time series models,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms An ensemble approach to stock price prediction using deep learning and time series models,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:06.234836Z

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.

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Observation ac47688b-b5a9-4e1c-9761-0fc2e621ecdb · outbound

This paper cites Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0dc70ca6-f3ee-426e-9f19-5a7ee04cc8e6 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms A comparative study on enhancing prediction in social network advertisement through data augmentation,

Reference 17

Resolution
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raw_fallback, observed 2026-08-06T23:29:05.903092Z

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.

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Observation 7b717bce-3c82-497e-851b-6abfdbe537b4 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Deception detection from linguistic and physiological data streams using bimodal convolutional neural networks,

Reference 18

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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.

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Observation e078e6ab-d2c2-4334-98fa-f1ecf436f097 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms RAG-RLRC-LaySum at BioLaySumm: Integrating retrieval-augmented generation and readability control for layman summarization of biomedical texts,

Reference 19

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raw_fallback, observed 2026-08-06T23:29:05.304743Z

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.

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Observation d9109489-1ec6-481c-bf5b-a4e2027c5f9a · outbound

This paper cites Data- driven digital twins for monitoring the health and performance of converters,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Data- driven digital twins for monitoring the health and performance of converters,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:04.966572Z

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.

source=pdf_text observed=2026-08-06T23:28:54.441989Z digest=sha256:9f266cec37e48fb1aa06ab175623ed00141e18bf0026835c35cface26573f720

Observation d6ed3599-664d-4f4e-9c50-9026aa6b694e · outbound

This paper cites A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning

Reference 21

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no resolver link, observed 2026-08-06T23:28:54.650642Z

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Unavailable: canonical work link unavailable.

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Observation ffa7efd6-5966-4ec9-857c-57dbb2b589f6 · outbound

This paper cites GPT-4 Technical Report.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms GPT-4 Technical Report

Reference 22

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no resolver link, observed 2026-08-06T23:28:54.854229Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:54.854229Z digest=sha256:3b48a3bb46ebf8dbff6be1cfc9fe27d8a0ef23522dd928c2b59995cb2c1d1641

Observation fd9b0cf2-20dd-48cf-9ed6-14ecf87c3926 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Reference 23

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no resolver link, observed 2026-08-06T23:28:55.064748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f6d91091-4686-47e2-81a9-9e2221536619 · outbound

This paper cites SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning

Reference 24

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verified exact
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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.

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Observation 71a0a15f-e527-4cf7-b31d-33a596f8e7ed · outbound

This paper cites Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey

Reference 25

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unresolved
no resolver link, observed 2026-08-06T23:28:55.674385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 311f7bc8-8f3c-41e1-84b4-7ecfe7c53cfc · outbound

This paper cites Assertion detection in clinical natural language processing using large language models,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Assertion detection in clinical natural language processing using large language models,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:04.651732Z

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.

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Observation d72b7fba-f9e3-493d-84db-2db7846a9795 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning

Reference 27

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no resolver link, observed 2026-08-06T23:28:56.074748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 62210426-7a5e-41af-9e53-ebf45dfe7a3a · outbound

This paper cites Visual Large Language Models for Generalized and Specialized Applications.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Visual Large Language Models for Generalized and Specialized Applications

Reference 28

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no resolver link, observed 2026-08-06T23:28:56.244746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:56.244746Z digest=sha256:d740fdade15309ec6db2d715c0996fba69750194acfe38efe1e3dc7a1f9bc419

Observation 71369668-9184-4301-a961-3660b7c50bb7 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Contextual hourglass network for semantic segmentation of high resolution aerial imagery,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:04.297694Z

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.

source=pdf_text observed=2026-08-06T23:28:56.494320Z digest=sha256:c487d71e9663984d1e38f674687972dcebfbc2bb22cd47fbf9d37a006fbf442c

Observation b1afe8e0-4e4a-4d47-b378-aae5efedc4b6 · outbound

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

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments

Reference 30

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unresolved
no resolver link, observed 2026-08-06T23:28:56.794838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:56.794838Z digest=sha256:1e059bf85ee85e7aca5514361d321abdcfbad79f9b7ed8994abba2261d49bd07

Observation 96f2daca-057f-4ad8-b23c-2a679fafb977 · outbound

This paper cites MT2ST: Adaptive Multi-Task to Single-Task Learning.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:28:59.475840Z

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.

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Observation 4b0b83ba-a58d-4d13-9f5a-fb6ca3b2a13a · outbound

This paper cites Empowering developers: Ai-infused cloud services for software engineering,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Empowering developers: Ai-infused cloud services for software engineering,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:29:03.954821Z

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.

source=pdf_text observed=2026-08-06T23:28:57.098587Z digest=sha256:3111049d70cca4b75b884eea04cc252f53555413474fbd15ad141fbd9c5a42f0

Observation 343dec9d-2cf1-43da-b36b-c92a333fb664 · outbound

This paper cites Autonomous monitors for detecting failures early and reporting interpretable alerts in cloud operations,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Autonomous monitors for detecting failures early and reporting interpretable alerts in cloud operations,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:03.465050Z

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.

source=pdf_text observed=2026-08-06T23:28:57.234745Z digest=sha256:8054ba31976362166c1abfd23778ba1e23c1a7be3bf0bd9e2d3f117d98b9793a

Observation 0b442596-1f22-4cbf-83df-13d377203ab8 · outbound

This paper cites Enhancing security in cloud computing using artificial intelligence (ai),.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Enhancing security in cloud computing using artificial intelligence (ai),

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T23:29:02.884741Z

Source-reported events for the cited work

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Observation 6c7abe61-8106-4e11-aead-e7409ea0ee17 · outbound

This paper cites Managing data dependencies in cloud-based big data pipelines: Challenges, solutions, and performance optimization strate- gies,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Managing data dependencies in cloud-based big data pipelines: Challenges, solutions, and performance optimization strate- gies,

Reference 35

Resolution
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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.

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Observation d510e3a4-7bd4-42d2-8691-db28619f272c · outbound

This paper cites AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms AI Agentic workflows and Enterprise APIs: Adapting API architectures for the age of AI agents

Reference 36

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f3f87370-5498-4bc1-8825-0ab6e8cd48bf · outbound

This paper cites Transforming the Hybrid Cloud for Emerging AI Workloads.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Transforming the Hybrid Cloud for Emerging AI Workloads

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:57.724739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e84bcca1-e816-4445-9643-6ed10889462a · outbound

This paper cites LogAI: A Library for Log Analytics and Intelligence.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms LogAI: A Library for Log Analytics and Intelligence

Reference 38

Resolution
verified exact
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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.

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Observation f506a20e-86d1-4a46-a6ec-8ac2eebb68b9 · outbound

This paper cites Architecting resilient cloud-native apis: Autonomous fault recovery in event-driven microservices ecosystems,.

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms Architecting resilient cloud-native apis: Autonomous fault recovery in event-driven microservices ecosystems,

Reference 39

Resolution
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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.

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Pith citing papers

Observation d69631fa-7941-44ed-80a8-2cd3496e0701 · inbound

ReLog: Execution-Aware Logging with Runtime Feedback for LLM-Oriented Debugging cites this paper.

ReLog: Execution-Aware Logging with Runtime Feedback for LLM-Oriented Debugging Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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