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23</news:title></news:news></url><url><loc>https://uzha.in/story/new-york-city-pension-fund-asks-anthropic-to-delay-ipo-4e7b1f</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>New York City comptroller asks Anthropic to delay its IPO over AI risks</news:title></news:news></url><url><loc>https://uzha.in/story/prism-transfer-and-limits-of-activation-interventions-in-tool-calling-language-m-8bdfba</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>PRISM framework studies transfer of activation interventions in tool-calling LMs</news:title></news:news></url><url><loc>https://uzha.in/story/april-an-open-ended-benchmark-for-chinese-social-awareness-in-large-language-mod-4406ba</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>APRiL: open-ended Chinese social-awareness benchmark for LLMs</news:title></news:news></url><url><loc>https://uzha.in/story/evaluating-model-capabilities-after-benchmark-saturation-113931</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper proposes using model transcripts to measure capabilities after benchmark saturation</news:title></news:news></url><url><loc>https://uzha.in/story/alphadiana-a-measurement-system-for-agents-in-verifiable-reasoning-tasks-1d126d</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>AlphaDiana: measurement system for agent reasoning and interventions</news:title></news:news></url><url><loc>https://uzha.in/story/value-informed-schedule-trimming-for-accelerated-sequential-monte-carlo-guidance-bed1b1</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>VISTA selects sparse SMC guidance schedules to speed discrete diffusion</news:title></news:news></url><url><loc>https://uzha.in/story/the-world-won-t-wait-evaluating-and-teaching-agents-under-a-live-clock-533568</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper introduces RealtimeBench and TORSI to evaluate agents under a live clock</news:title></news:news></url><url><loc>https://uzha.in/story/when-correctness-feedback-erases-evidence-phase-separated-completeness-auditing-696b5d</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Correctness feedback can erase evidence in specification-completeness auditing</news:title></news:news></url><url><loc>https://uzha.in/story/l2g-sr-learning-to-guide-llm-based-symbolic-regression-493062</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>L2G-SR: learned structural guidance for LLM-based symbolic regression</news:title></news:news></url><url><loc>https://uzha.in/story/ineqagent-agentic-inequality-proving-in-lean-with-symbolic-computation-77ca7d</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>IneqAgent combines LLMs and symbolic computation to prove inequalities in Lean</news:title></news:news></url><url><loc>https://uzha.in/story/counterfactual-neighborhood-risk-fields-evidence-grounded-selective-safety-for-v-4fdb08</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Counterfactual Neighborhood Risk Fields improve selective safety for vision‑language models</news:title></news:news></url><url><loc>https://uzha.in/story/jev-as-a-judge-for-rag-claim-verification-confidence-gated-cascading-between-a-n-eaa96d</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper finds non‑generative verifier matches LLM accuracy at far lower cost for RAG claims</news:title></news:news></url><url><loc>https://uzha.in/story/aria-runtime-inspection-and-amendment-for-multi-agent-systems-6433df</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>ARIA framework and dataset enable runtime repairs for LLM-based multi-agent systems</news:title></news:news></url><url><loc>https://uzha.in/story/when-reality-outpaces-cognition-a-new-scaling-principle-for-reliable-intelligenc-c43244</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper proposes 'Speed of Coherent Cognition' benchmark for reliable AI</news:title></news:news></url><url><loc>https://uzha.in/story/real-time-chatbot-romance-scam-detection-in-stage-classification-99358c</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Chatbot detects romance-scam stages in real time using LLMs</news:title></news:news></url><url><loc>https://uzha.in/story/open-world-ai-a-tale-of-three-requirements-a92760</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper defines three requirements for open‑world AI systems</news:title></news:news></url><url><loc>https://uzha.in/story/a-self-improving-agent-that-grows-its-own-dsl-oracle-free-operator-induction-for-3f9ada</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Agent grows its own DSL to answer exact questions without oracles</news:title></news:news></url><url><loc>https://uzha.in/story/when-reasoning-traces-conflict-with-evidence-how-answer-configuration-shapes-evi-9c7cb8</loc><news:news><news:publication><news:name>Uzha</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-16T05:29:15.720Z</news:publication_date><news:title>Paper shows answer configuration shapes whether traces or evidence drive 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