A Quasi-Experiment comparing the health of unhoused people who have and have not experienced an eviction in King County, WA
2026-04-20T08:52:19Z•f0fe47696aec886544b6755fa59c8bc3791cbe4a5c3cdd9a21286f187833f70a
LLM biasOpenAIREPIMbioinformatics dual-usecontent moderationdataset accessibilitydeanonymizationdisinformationepidemic forensicsgenomics accelerationgraph MLhardware accelerationinfluence maximizationpatient-zero reconstructionprivacyresilience metricsself-supervised learningsocial manipulationsupply-chain resilience
What happened
This collection of recent arXiv papers contains several items with security-relevant implications: an LLM content-curation audit showing consistent polarization amplification and provider-specific toxicity/sentiment biases (implications for disinformation, moderation, and platform manipulation); an influence-maximization method on hypergraphs that could improve targeted social-engineering or information operations; a heterogeneous PIM accelerator (GEN-Graph) that delivers large speedups and energy efficiency for graph DP and sequence-to-graph alignment (potentially accelerating bioinformatics/
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- f0fe47696aec886544b6755fa59c8bc3791cbe4a5c3cdd9a21286f187833f70a
- Enrichment time
- 2026-04-20T08:52:19Z
- AI-assisted enrichment
- Yes
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