Paper Citation Record · LEDGER

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2412.20154.

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

pith.paper-citation-record.v1
2412.20154 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:35:56.870752Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:34:12.753626Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:34:12.906230Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy35
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 632f6b96-71e2-44ce-9272-a87dec4b83c8 · outbound

This paper cites A Full Dive Into Realizing the Edge- Enabled Metaverse: Visions, Enabling Technologies, and Challenges,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A Full Dive Into Realizing the Edge- Enabled Metaverse: Visions, Enabling Technologies, and Challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.393661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06975394-1650-4c63-b1c1-1af7196bb038 · outbound

This paper cites Blockchain-empowered federated learning for healthcare metaverses: User-centric incentive mechanism with optimal data freshness,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Blockchain-empowered federated learning for healthcare metaverses: User-centric incentive mechanism with optimal data freshness,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.381136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7c725c2-91ab-458a-96ba-6fda05dbcb5d · outbound

This paper cites Metaverse for Intelligent Transportation Systems (ITS): A Comprehensive Review of Technologies, Applications, Implications, Challenges and Future Directions,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Metaverse for Intelligent Transportation Systems (ITS): A Comprehensive Review of Technologies, Applications, Implications, Challenges and Future Directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.367678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c850065-724a-46e2-9bef-dafd86c92a62 · outbound

This paper cites Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T23:35:56.723212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f0ef80-762a-4e44-a6a4-c053920a8b10 · outbound

This paper cites Joint User Association and Resource Pricing for Metaverse: Dis- tributed and Centralized Approaches,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Joint User Association and Resource Pricing for Metaverse: Dis- tributed and Centralized Approaches,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.355055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9353bf44-e633-4c9e-9583-e6733cb19d2f · outbound

This paper cites Reliable Distributed Computing for Metaverse: A Hierarchical Game- Theoretic Approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Reliable Distributed Computing for Metaverse: A Hierarchical Game- Theoretic Approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.342231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39d4fa97-668a-41cb-8bf6-016dde6b25d9 · outbound

This paper cites Blockchain-assisted twin migration for vehicular metaverses: A game theory approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Blockchain-assisted twin migration for vehicular metaverses: A game theory approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.328555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 961e115b-0ac7-4af6-b30a-75aa1d12caeb · outbound

This paper cites Edge Computing-Based DDoS Attack Detection for Intelligent Transportation Systems,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Edge Computing-Based DDoS Attack Detection for Intelligent Transportation Systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.316008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5908954c-3e0b-4187-82b4-bfa3ced9b5d3 · outbound

This paper cites DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses DDoS Attack and Detection Methods in Internet-Enabled Networks: Concept, Research Perspectives, and Challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.303293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85256cad-2c3c-4d54-a73b-ab7c68f4c74b · outbound

This paper cites How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.290194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bf4128e-a6e7-4f3a-861c-28ee67c43a51 · outbound

This paper cites Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.277516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce33f958-7b1e-4552-b873-0d8b2407967e · outbound

This paper cites Real-Time Detection and Estimation of Denial of Service Attack in Connected Vehicle Systems,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Real-Time Detection and Estimation of Denial of Service Attack in Connected Vehicle Systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.264238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8c9f99f-49fe-4583-a132-511bb7c5a0fb · outbound

This paper cites A deep learning approach for detecting covert timing channel attacks using sequential data,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A deep learning approach for detecting covert timing channel attacks using sequential data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.251387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80eaa362-5467-4a5e-93a8-9bd02dd9832f · outbound

This paper cites Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.239226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8666b73a-8944-48fb-8410-2bc131cfb331 · outbound

This paper cites Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.225912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b411f0e-755d-47d3-95db-e2aff30413cc · outbound

This paper cites Digital Twin and Artificial Intelligence-Empowered Panoramic Video Streaming: Reducing Trans- mission Latency in the Extended Reality-Assisted Vehicular Metaverse,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Digital Twin and Artificial Intelligence-Empowered Panoramic Video Streaming: Reducing Trans- mission Latency in the Extended Reality-Assisted Vehicular Metaverse,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.213796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8f0f09b-1406-48aa-af6e-8956b35637c2 · outbound

This paper cites Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.200962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00d74482-0bf0-4b78-b2bb-f78232514714 · outbound

This paper cites Resource Allocation for Augmented Reality Empowered Vehicular Edge Metaverse,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Resource Allocation for Augmented Reality Empowered Vehicular Edge Metaverse,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.187456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1387758a-c57f-4589-8ede-9a2efb7b596b · outbound

This paper cites Adaptive Edge Association for Wireless Digital Twin Networks in 6G,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Adaptive Edge Association for Wireless Digital Twin Networks in 6G,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.173959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3854fce-ca31-43f7-99df-aa9f4553d2c5 · outbound

This paper cites Tiny Multi-Agent DRL for Twins Migration in UA V Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Tiny Multi-Agent DRL for Twins Migration in UA V Metaverses: A Multi-Leader Multi-Follower Stackelberg Game Approach,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.162393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a49ce1ad-981c-43ee-a13a-2866983fda48 · outbound

This paper cites Security and design require- ments for software-defined V ANETs,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Security and design require- ments for software-defined V ANETs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.150447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12576dbc-5b59-43bb-a3fa-f0b25669fccd · outbound

This paper cites Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.137913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d12f4942-8b74-4f28-b5d0-2e1a83dee47e · outbound

This paper cites Collaborative-trust approach toward malicious node detection in vehic- ular ad hoc networks,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Collaborative-trust approach toward malicious node detection in vehic- ular ad hoc networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.125302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c323f95-30d0-4ba7-a598-c61cfa2d74c9 · outbound

This paper cites A Scalable Blockchain-Based Trust Management Strategy for Vehicular Networks,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A Scalable Blockchain-Based Trust Management Strategy for Vehicular Networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.113800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77ee7c65-fbab-4757-b88f-9694861e1b19 · outbound

This paper cites A Trust Based Energy and Mobility Aware Routing Protocol to Improve Infotainment Services in V ANETs,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A Trust Based Energy and Mobility Aware Routing Protocol to Improve Infotainment Services in V ANETs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.101414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae87e467-99aa-4670-ab18-f6ec6108d273 · outbound

This paper cites When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Ap- proach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Ap- proach,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.088445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b87fa8dc-8aeb-4fe2-8c58-431cac43f6cd · outbound

This paper cites DDoS-Net: Classifying DDoS Attacks in Wireless Sensor Networks with Hybrid Deep Learning,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses DDoS-Net: Classifying DDoS Attacks in Wireless Sensor Networks with Hybrid Deep Learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.074252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1f599a7-f3c7-48db-8981-caea01ebb0f4 · outbound

This paper cites Obaidat, M.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Obaidat, M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.061329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f187854-efa0-4abc-873c-e96696229788 · outbound

This paper cites Security and Privacy Challenges in Connected Vehicular Cloud Computing,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Security and Privacy Challenges in Connected Vehicular Cloud Computing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.049070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 252f5c10-14c9-4b2b-9432-43e4427221a3 · outbound

This paper cites Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.036577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd386e8a-05da-4706-9d36-58cf0935cc30 · outbound

This paper cites an unresolved cited work.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:35:57.023775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef7c3136-4f0e-408c-8895-5143613350e2 · outbound

This paper cites DRiVe: Detecting Malicious Roadside Units in the Internet of Vehicles With Low Latency Data Integrity,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses DRiVe: Detecting Malicious Roadside Units in the Internet of Vehicles With Low Latency Data Integrity,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:57.010801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba9fe333-7fb5-40ea-8f20-b7075e90c722 · outbound

This paper cites A mathematical theory of communication,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A mathematical theory of communication,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:56.996213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 272c94f6-f7b1-463f-a9e3-76ae0cd16251 · outbound

This paper cites UA V-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses UA V-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:56.983562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f3d08f6-b5ac-425d-b638-6a59658b9e2b · outbound

This paper cites A Survey on Machine Learning- Based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses A Survey on Machine Learning- Based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:56.970329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7c7ac1d-5f20-4d4a-8f3d-064ac9e202dc · outbound

This paper cites Primal: Profit maximization avatar placement for mobile edge computing,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Primal: Profit maximization avatar placement for mobile edge computing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:56.956222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bd52b03-8066-443c-bcad-50faaa2f864b · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T23:35:56.862653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e06de1-e2f8-4456-b5bb-6eb662c055c2 · outbound

This paper cites Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T23:35:56.866801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1b5d1c-c261-433f-8b91-792b4e81d48b · outbound

This paper cites UA V-assisted technique for the detection of malicious and selfish nodes in V ANETs,.

Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses UA V-assisted technique for the detection of malicious and selfish nodes in V ANETs,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:35:56.942363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation fd971e3a-1d92-4455-94e8-98dba85896c8 · inbound

Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses cites this paper.

Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:34:12.911243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.