Paper Citation Record · LEDGER

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2506.18087.

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

pith.paper-citation-record.v1
2506.18087 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:58:26.949370Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:06:48.893417Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:50:13.449584Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy20
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7222b5bd-a756-4d07-9287-aba4d9b48c92 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 1

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Source-reported events for the cited work

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Observation 015a21f4-a798-4d0e-af54-c52cc6adc726 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models MT2ST: Adaptive Multi-Task to Single-Task Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:25.793099Z

Source-reported events for the cited work

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Observation 14f46a0c-ccf8-4b79-b4a8-88a2ef413e3b · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:25.798790Z

Source-reported events for the cited work

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Observation 7c797f3d-8726-4a86-b399-8764d0e43442 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning

Reference 4

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Source-reported events for the cited work

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Observation f4dd5acb-e819-41f8-b588-7ef10ef0e7b4 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Fine-grained control of generative data aug- mentation in iot sensing,

Reference 5

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Observation d268398d-b391-484c-b402-ec4a65d80d01 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:25.936723Z

Source-reported events for the cited work

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Observation 02f536a3-f5c9-4afe-9eea-d8106b2e877e · outbound

This paper cites Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Enhancing thyroid disease prediction using machine learning: A comparative study of ensemble models and class balancing techniques,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.826559Z

Source-reported events for the cited work

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Observation b538db10-ca95-48f2-ae98-7ab45a470b78 · outbound

This paper cites Stutz, J.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Stutz, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.724288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c88c629-c1f7-4b63-9c49-404973f93b12 · outbound

This paper cites Performance of unscented kalman filter for model updating with experimental data,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Performance of unscented kalman filter for model updating with experimental data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.712233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eccd2599-7c82-4fe6-8578-356eba409f51 · outbound

This paper cites Pmfl: Partial meta-federated learning for heterogeneous tasks and its applications on real-world medical records,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Pmfl: Partial meta-federated learning for heterogeneous tasks and its applications on real-world medical records,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:26.089468Z

Source-reported events for the cited work

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Observation 85d5a72a-db22-4b12-a413-a8191cdc8dd7 · outbound

This paper cites Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:26.178997Z

Source-reported events for the cited work

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Observation 42145081-6327-4b4c-a2fa-483502298556 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Machine learning: Trends, perspec- tives, and prospects,

Reference 12

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Source-reported events for the cited work

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Observation 7d1e73de-5411-4bd0-939b-cb25e1dee621 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models RAG-RLRC-LaySum at BioLaySumm: Integrating retrieval-augmented generation and readability control for layman summarization of biomedical texts,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.554637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c3a5b84-69c0-435f-8653-915494e83f4b · outbound

This paper cites Machine learning algorithms-a review,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Machine learning algorithms-a review,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.456891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecf95860-ac51-4e89-b2d1-2be95895fcb8 · outbound

This paper cites Regional style and color transfer,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Regional style and color transfer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.421220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1d60629c-0f58-4384-a076-50d3a2e82f6c · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Covid-19 localization and recognition on chest radiographs based on yolov5 and efficientnet,

Reference 16

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Source-reported events for the cited work

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Observation 461de502-b6f0-4c3a-96ce-ee2a548d33ff · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models An ensemble approach to stock price prediction using deep learning and time series models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.362432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b2fcaaf9-7f52-449d-9dec-54c218837198 · outbound

This paper cites Data augmentation for human activity recognition via condition space interpolation within a generative model,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Data augmentation for human activity recognition via condition space interpolation within a generative model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.349571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3ef8248-4e9f-46c6-9cc7-fbc5916c169b · outbound

This paper cites Geometric matrix completion for missing data estimation in power distribution systems,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Geometric matrix completion for missing data estimation in power distribution systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.108109Z

Source-reported events for the cited work

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Observation 6003055f-d7ed-4426-a2a1-fbaeb20ca2cd · outbound

This paper cites GPT-4 Technical Report.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models GPT-4 Technical Report

Reference 20

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Source-reported events for the cited work

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Observation e6a76345-e655-4475-8ffb-55b99cc34a90 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:26.420017Z

Source-reported events for the cited work

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Observation 78d0e51d-8b8b-45a6-83e4-a07d78dda0c1 · outbound

This paper cites ComposerX: Multi-Agent Symbolic Music Composition with LLMs.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Reference 22

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Source-reported events for the cited work

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Observation 1bb80628-3fed-4f97-9e2a-8df14c693477 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Exploring diverse methods in visual question answering,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.058707Z

Source-reported events for the cited work

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Observation ff3d9115-b946-4f35-9fad-f6521fc31fae · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Assertion detection in clinical natural language processing using large language models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:28.021035Z

Source-reported events for the cited work

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Observation 9efcf50b-a04a-4e65-a44f-f695d66d0075 · outbound

This paper cites Score: Story coherence and retrieval enhancement for ai narratives,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Score: Story coherence and retrieval enhancement for ai narratives,

Reference 25

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Source-reported events for the cited work

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Observation 8228953f-f524-4f79-b775-46ffdf893fd0 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:26.623424Z

Source-reported events for the cited work

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Observation 9b881165-5818-466a-a736-d5b34e9f50b5 · outbound

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Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning

Reference 27

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Source-reported events for the cited work

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Observation 28705ade-e928-4dda-a6de-84134b84db9a · outbound

This paper cites Can speculative sampling accelerate react without compromising reasoning quality?.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Can speculative sampling accelerate react without compromising reasoning quality?

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.959657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d0ea8c3f-e1b7-41ec-be3c-fce8c66ecbb7 · outbound

This paper cites Generative ai in cybersecurity: A com- prehensive review of llm applications and vulnerabilities,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Generative ai in cybersecurity: A com- prehensive review of llm applications and vulnerabilities,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.932870Z

Source-reported events for the cited work

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Observation 8cb9e090-d45b-47c0-baab-b672353f5358 · outbound

This paper cites Reinforcement learning-based load balancing with large language models and edge intelligence for dynamic cloud environments,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Reinforcement learning-based load balancing with large language models and edge intelligence for dynamic cloud environments,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.787821Z

Source-reported events for the cited work

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Observation dc2be63c-399b-4148-a604-b5b72838ffd5 · outbound

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

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling

Reference 31

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Source-reported events for the cited work

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Observation 65c363bb-5a31-4661-827c-6fe3e21f741c · outbound

This paper cites Enhancing the security of edge-ai runtime environments: a fine-tuning method based on large language models,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Enhancing the security of edge-ai runtime environments: a fine-tuning method based on large language models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.773427Z

Source-reported events for the cited work

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Observation edeed946-162b-4a58-a265-4c875f1852e4 · outbound

This paper cites Distributed threat intelligence at the edge devices: A large language model-driven approach,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Distributed threat intelligence at the edge devices: A large language model-driven approach,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.677256Z

Source-reported events for the cited work

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Observation 144970f8-be41-424b-9013-a702a803b8b3 · outbound

This paper cites Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models

Reference 34

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Source-reported events for the cited work

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Observation ed36c4f7-e5a9-4d50-817c-c18560cc378e · outbound

This paper cites Large language models empowered autonomous edge ai for connected intelligence,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Large language models empowered autonomous edge ai for connected intelligence,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.582005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 882757b9-89ca-40ed-8e9f-25a3c15beffe · outbound

This paper cites A survey on the integration and optimization of large language models in edge computing envi- ronments,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models A survey on the integration and optimization of large language models in edge computing envi- ronments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.569529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d2215caa-9ccf-481b-bd58-845fe9e049bf · outbound

This paper cites Llm-cloud complete: Lever- aging cloud computing for efficient large language model-based code completion,.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Llm-cloud complete: Lever- aging cloud computing for efficient large language model-based code completion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:58:27.435767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91dedb70-dded-4c11-a09b-bf81e96170e3 · outbound

This paper cites Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks.

Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:58:26.949370Z

Source-reported events for the cited work

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Pith citing papers

Observation eeb1ea7a-929f-441b-9a56-73909c54f294 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models

Reference 278

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:48.893417Z

Source-reported events for the cited work

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Observation 96ca99b8-4b89-48d3-9f5e-49d688cc6ff5 · inbound

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval cites this paper.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:50:13.544044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.