Hyperbolic embeddings for graph compression

2026-07-14T08:52:19Z3f6e99d561c011ecdc3d67428ad6b52dcdc7c7553c06fd08310e8ef82820559f
LLM safetyadversarial manipulationbehavioral modelingcitation analysisgraph compressiongraph neural networksknowledge graphslarge language modelsmisinformationmodel probingmodel vulnerabilitiesprivacysocial mediaverification pipelines

What happened

Feed of July 14, 2026 arXiv CS items covering graph methods, knowledge graphs, LLMs, and social-media studies. Notable security-relevant papers: “Large Language Models in Misinformation Ecosystems” (systematizes LLM-enabled attacks on content, evidence sources, retrieval corpora, and verification workflows and calls out vulnerabilities and defenses); “MafiaScope” (provides a measurement/testbed for probing internal beliefs of LLM agents — potential for privacy/leakage and model interrogation); work showing LLMs can reproduce human decision biases (implications for scalable behavioral modeling,

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
3f6e99d561c011ecdc3d67428ad6b52dcdc7c7553c06fd08310e8ef82820559f
Enrichment time
2026-07-14T08:52:19Z
AI-assisted enrichment
Yes

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