Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:51.301073Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 152 outbound references and 0 inbound Pith citation observations for arXiv:2506.11521.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:51.301073Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 152 outbound references displayed
External citation measurements
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Universal Adversarial Audio Perturbations
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2018 IEEE Security and Privacy Workshops (SPW)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Dependable and Secure Computing 20(5), 3970--3987 (2022)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Artificial Intelligence 5(3), 1302--1315 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 19, 1948--1962 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 33rd USENIX Security Symposium (USENIX Security 24)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: GLOBECOM 2023-2023 IEEE Global Communications Conference
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 IEEE Symposium on Security and Privacy (SP)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv e-prints pp
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access (2024)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Multimedia 24, 4381--4393 (2021)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th ACM International Conference on Multimedia
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Artificial Intelligence Review 57(8), 218 (2024)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 15, 2147--2159 (2019)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models LLaMA-Omni: Seamless Speech Interaction with Large Language Models
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Transferable Adversarial Attacks on Audio Deepfake Detection
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 35th annual computer security applications conference
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 18, 3647--3661 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE/ACM Transactions on Audio, Speech, and Language Processing (2024)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Dependable and Secure Computing 21(4), 2672--2685 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Cybersecurity 6(1), 40 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2022 ACM SIGSAC conference on computer and communications security
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models "I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Best-of-N Jailbreaking
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models GPT-4o System Card
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 30th USENIX security symposium (USENIX Security 21)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv preprint arXiv:2505.17050 (2025)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models arXiv preprint arXiv:2505.11217 (2025)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: The Thirteenth International Conference on Learning Representations (2024)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Information Fusion p
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Computers & Security 128, 103168 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Transactions on Information Forensics and Security 15, 526--538 (2019)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Computers & Security 126, 103061 (2023)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Observation 41853fe8-0627-4958-8205-c12fbd969cf4 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models
Reference 81
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Observation 7af16a97-58ff-4ea5-be02-1d1a287f6640 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
Reference 82
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Observation 14c4d0b8-bd63-46f8-9fdb-7ee8938ecc19 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access (2024)
Reference 83
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Observation dd72e319-2aa8-4fb7-9bb3-5a76a32f3bde · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
Reference 84
Source-reported events for the cited work
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Observation da381064-a083-4c55-a040-8dd66964789e · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Advances in Neural Information Processing Systems 37, 63858--63872 (2024)
Reference 85
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Observation 63d36817-eed8-4ee0-ab9f-b5d545b91cb1 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models IEEE Access 10, 23532--23544 (2022)
Reference 86
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Observation 77c962c8-fe15-4322-9a76-860c34872379 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Reference 87
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Observation 1848d635-2263-46d4-a643-6c1753c7db44 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Advances in Neural Information Processing Systems 35, 30058--30070 (2022)
Reference 88
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Observation 01dfc90b-9814-4a52-957c-3acf1d415912 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models ACM Transactions on Privacy and Security 27(2), 1--26 (2024)
Reference 89
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Observation 1f950e40-0dc5-47c3-9006-823df778fa7b · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Reference 90
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Observation 3455fe34-bcbc-4220-a771-6d86d23fd355 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI)
Reference 91
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Observation 1e21d89d-d227-4689-8bc5-ad67b7fc5301 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Reference 92
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Observation 55324daa-c141-4843-8629-e3a815cbfc4a · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Expert Systems with Applications 250, 123941 (2024)
Reference 93
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Observation b3d313d6-8d01-4a38-9562-9a08db27eb4f · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services
Reference 94
Source-reported events for the cited work
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Observation 7865a8e7-c8d4-4305-b0ef-0f978b8da218 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 2024 Workshop on Artificial Intelligence and Security
Reference 95
Source-reported events for the cited work
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Observation 6baf7137-5bd1-4e5e-aa2d-df76fc0c6270 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Voice Jailbreak Attacks Against GPT-4o
Reference 96
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Observation a0828d91-f60b-419b-adc4-93b759e021f9 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
Reference 97
Source-reported events for the cited work
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Observation 5b2487ad-2d38-4860-a067-1b58c9706e1b · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Reference 98
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 77521a27-1da5-4f76-bb41-1333b835a76c · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Reference 99
Source-reported events for the cited work
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Observation ad2d4336-4621-4651-b872-a4e1925dcad7 · outbound
Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Pattern Recognition Letters 177, 103--109 (2024)
Reference 100
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.