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1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Prompt Injection Through Forensic Evidence: A Taxonomy and Proof of Concept of Anti-Forensic Attacks on LLM-Assisted Digital Investigations
arXiv:2610.29747v1 Announce Type: new Abstract: Large language models (LLMs) are entering digital forensics as examination assistants and autonomous agents. Digital forensics inverts the usual setting for indirect prompt…
Metamodel-Guided LLM Decoding for Consistent DSL Generation
arXiv:2610.29749v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to generate software engineering artifacts written in domain-specific languages (DSLs). Correct DSL instances usually mus…
Bridging Foundational and Agentic Capabilities of LLMs
arXiv:2610.29751v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as agents, yet it remains unclear how their foundational capabilities translate into agentic capabilities. End-to-end…
VeruSteer: Learning What to Repair Next in Verus
arXiv:2610.29755v1 Announce Type: new Abstract: LLM-based verification systems repair Rust proofs by revising programs in response to Verus diagnostics. When several error types are reported, pipelines such as AutoVerus …
The Privacy Paradox Is a Misnomer: Data Under Structural Uncertainty
arXiv:2610.29756v1 Announce Type: new Abstract: The infamous privacy paradox refers to the apparent inconsistency between people's stated concern for privacy and their readiness to disclose personal information. This phe…
Information-Induced Conservatism Frontier of Distributed Stability Certificates
arXiv:2610.29757v1 Announce Type: new Abstract: Conservatism in distributed stability certification is often treated as a limitation of the certificate itself, motivating richer Lyapunov functions, tighter relaxations, o…
AssureCode: Structured Justification for Trustworthy Agentic Coding
arXiv:2610.29758v1 Announce Type: new Abstract: The use of AI-based tools in software development is rapidly changing how software is produced, enabling large volumes of code to be generated with limited human implementa…
OMAR: Open-World Multi-Attribute Reasoning for Scene-Conditioned Shelf Organization
arXiv:2610.29761v1 Announce Type: new Abstract: With the advent of foundation models, robots are increasingly capable of understanding and executing explicitly specified human tasks. Extending these capabilities to open-…
ALIAS: Evaluating Performance and Memorization in LLM-Written TLA+ Specifications
arXiv:2610.29767v1 Announce Type: new Abstract: Memorization inflates the benchmark scores of large language models (LLMs), since a model can reproduce answers it saw in training. Researchers test for it with consistent …
UniRAP: Towards Unified Part-level Physical Affordance Reasoning and Actionable Perception
arXiv:2610.29768v1 Announce Type: new Abstract: Vision-language perception has achieved impressive progress in aligning natural language with visual observations, yet grounding high-level semantics into part-level physic…
Location-of-interest vs. Current-location Privacy in Multi-hop Communication
arXiv:2610.29772v1 Announce Type: new Abstract: Consider a standard multi-hop wireless radio network in which nodes relay messages for one another. While the contents of messages may be sensitive and thus encrypted, the …
Do Flow-Generation Tools Matter? Unsupervised Characterization of MQTT Traffic Across Public Datasets
arXiv:2610.29774v1 Announce Type: new Abstract: Message Queue Telemetry Transport (MQTT) is widely used in IoT environments due to its lightweight publish-subscribe design and suitability for resource-constrained network…
Fully Dynamic Triangle and 4-Vertex Subgraph Counting: From Theory to Practice and Back Again
arXiv:2610.29776v1 Announce Type: new Abstract: Counting small patterns is a core primitive in large-scale graph analytics, with numerous applications in data management and network analysis. As modern graphs are massive…
Key Findings for Small UAS for Post-Disaster Damage Assessment from the CURSE'26 Exercise
arXiv:2610.29777v1 Announce Type: new Abstract: The CLARKE building and road damage assessment AI classifier was incorporated into the Catastrophic Unmanned Remote Sensing Exercise (CURSE) 2026, which trained 23 small un…
JointLight: Human-Centric Video Relighting with Asynchronous RGB-Irradiance Joint Modeling
arXiv:2610.29780v1 Announce Type: new Abstract: Understanding and modeling light transport in human-centric scenes is a longstanding challenge. While recent progress in diffusion models has boosted research in relighting…
An experimental evaluation of static k-center clustering algorithms on graphs
arXiv:2610.29781v1 Announce Type: new Abstract: The $k$-center problem is one of the most fundamental clustering problems and has applications in a wide range of areas, including facility location, network design, data m…
Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting
arXiv:2610.29784v1 Announce Type: new Abstract: Most contemporary artificial intelligence (AI) systems are released with frozen parameters and improve through external updates, whereas an ideal system would keep improvin…
Where Do LLMs Learn to Recommend AI?
arXiv:2610.29785v1 Announce Type: new Abstract: Asked what to study, which career to pursue, or what product to build, large language models (LLMs) often recommend AI-related options. We ask where this tendency comes fro…
D-Pingmesh: Dynamic Probing and Fault Localization for Reconfigurable Datacenter Networks
arXiv:2610.29787v1 Announce Type: new Abstract: Pingmesh monitors datacenter networks through periodic pings between servers. In reconfigurable datacenter networks, topology engineering (TPE) and traffic engineering (TE)…
Open-Vocabulary Models and Label Propagation for Uncertainty-aware Pseudo-Labeling of Object Detection Datasets
arXiv:2610.29788v1 Announce Type: new Abstract: Object detection models rely on large-scale annotated datasets that require substantial manual annotation effort. The labeling costs further increase when annotation uncert…