Automotive Security Analysis Puts Chip Design at the Center
Preprint: A qualitative analysis says hardware security modules could anchor secure boot and protect keys, but leaves performance and attack resistance unmeasured.
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AI system scores 97.5% in early hardware compatibility checks
An arXiv preprint reports a structured way to check documentation-level interfaces with 8.6-fold less input than one-shot full-document prompting.
Turn-taking systems spot interruptions differently across conversation styles
Preprint: A benchmark of six English conversation styles found type-dependent interruption false positives, while no tested system combined speed, selectivity and high recall.
Preprint reports exact two-hidden-layer models for MAX functions
The mathematical preprint reports constructions for MAX5 through MAX8, while its method could not reach MAX9 or MAX10.
Voice-controlled bionic hand performs simple gestures in tests
Preprint: An engineering prototype linked voice commands to preset hand gestures and tested basic grasps, but human-user performance remains untested.
Study finds participants confused account changes with device security
Preprint: In 168 laboratory sessions, participants often judged generic password and update advice complete before reaching the intended device-level outcome.
Quantum spin model shows signs of a gapless nodal state
Preprint findings point to a nodal Bose liquid in finite systems and a possible nearby gapped phase under one model deformation.
Preprint reports 2-microsecond median in embedded scheduler test
An arXiv methods paper compares CIPS with a latency-aware controller in an embedded microbenchmark and a dynamic car-following benchmark.
Linear model finds stable damping can still be slow
Preprint: A one-dimensional analysis finds state decay of 1/t and energy decay of 1/t^2, with both exponents sharp under localized damping.
Mathematicians link KdV wave variations through two spectral curves
Preprint: A formal study identifies branch points where several solution methods converge.
New method targets redshift with strongest dark-energy departure
Preprint: An illustrative analysis reports 2.78 standard deviations at the optimized redshift, versus 2.56 at the pivot.
Preprint finds limited gains beyond top-mass cache eviction
A computational analysis finds that physical memory, budget enforcement and question visibility can reshape comparisons between eviction methods.
Preprint reports near-zero bias for log-quantile fits in simulations
An arXiv v1 preprint reports exact one-step log-scale linearization, low variability in selected simulations and model-specific results in two observational examples.
Sparse Language Model Matches Dense Rival at Peak, but Is More Fragile
Preprint: A comparison found near-identical probing accuracy in a sparse and dense model, but much lower noise tolerance in the MoE system.
Preprint: Bidirectional Mamba model leads in simulated device trust
Across 500 simulated devices, the model posted the lowest reported error and highest modeled task value, but real-world networks were not tested.
Preprint reports sharp answers to two large-graph clique problems
The mathematical study gives exact equality cases for two conjectured bounds, but applies only to sufficiently large graphs and leaves its thresholds unspecified.
AI Models Put Justice First in Rare-Disease Ethics Test
An arXiv preprint found that equality-based choices made up the largest share of Justice selections, while decision-maker framing was strongly associated with the values chosen.
MVE Model Leads Rival Methods in Simulated Trust Tests
Preprint: An uncertainty-aware system for choosing collaborators led rival methods in a simulated distributed system, but the evidence remains limited to that test.
Preprint Links Spin Structures to Finite Geometric Measures
The framework adds Ramond-point cohomology and recursions, reports matching even and odd volumes in genus one and two, and marks broader equivalences as conjectural.
Preprint model posts 91.3% simulated collaborator-selection accuracy
TrustFormer reported lower trust-estimation error than LSTM and standard Transformer baselines, with the widest gap in complex simulated behavior.