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Computer Science & AI
Much of the new work in computer science and AI appears first as a preprint on arXiv. ReadSearch reads those listings every day, with papers OpenAlex files under the same subjects, and this page shows the newest it has, from machine learning and language to systems, theory and security.
The newest 1,000 papers, from 4 November 2026 to 5 November 2026: 1,000 arXiv preprints.
Newest papers, page 30
Risk Control Certifies Rates, Not Magnitudes: An Audit of Selective Fetal Biometry
Prenatal ultrasound biometry must return a head circumference (HC) and refuse when the image cannot support one.Thick Alignment: A Social Framework for Values and AI Systems
Computer science research on the "alignment" of artificial intelligence (AI) systems treats human values as content to be specified and optimized.Generative AI for urban planning: synthesizing land-use maps with satellite imagery via DualControlNet
Various land-use models characterize land-use patterns and facilitate scenario planning.A Complete Characterization of $q$-Ary $2$-Designs in Doubly-Extended Reed-Solomon Codes
Let $\mathcal{C}_k$ be the doubly-extended Reed--Solomon code with parameters $[q+1, k, q-k+2]_q$.CARTBench: Rubric-Based Evaluation of Shopping Advice for Complex and Ambiguous Requests with Timelines
Large language model (LLM) shopping assistants now recommend products in multi-turn conversations.Auditable Unlearning for LLMs
Machine unlearning aims to remove a user's data from a trained model after a deletion request.On Convergence of Gradient Temporal-Difference Learning with Regularized Corrections and Eligibility Traces
Temporal-difference (TD) learning underlies many prediction and control algorithms, but can diverge when combined with off-policy learning, bootstrapping, and function approximation.AI-Assisted Classification under Correlation Neglect and Trust
When does an AI assistant improve human decision-making, and when does it hurt?The Invocation Bottleneck in LLM-Based Lossless Compression: What Can Be Removed and What Must Be Traded
Large language models (LLMs) compress text far better than classical compressors, but LLM-based compressors are slow, particularly during decompression.Can LLM Agents Learn to Test? Maintaining Scoped Experience as Testing Evidence for Mobile GUI Testing
Repeated mobile GUI tests can reuse routes, locators, and recovery strategies from earlier executions.Feature Puzzles: Single-Image Supervision for Multi-View 3D-Aware Segmentation
Humans can easily recognize the same objects across different viewpoints of a 3D scene, whereas teaching models such multi-view-consistent perception typically requires videos or calibrated…MIGONet: a multiple-input graph neural operator with solver-free discrete manufactured-solution training
Surrogate modeling of transport requires operators that capture the combined influence of spatially distributed sources and Dirichlet and Neumann boundary conditions, together with training datasets…When Does Better Confidence Improve a Knowledge-Graph Audit?
Confidence estimates guide human review in LLM-built knowledge graphs, but better error prediction can yield little improvement in an audit.Improved Bounds on Distance Preservers
Given an undirected unweighted graph $G$ on $n$ vertices and a set $P$ of $p$ pairs of its vertices, a distance preserver is a sparse subgraph of $G$ that exactly preserves the shortest-path…Does RRT* Work on Uneven Terrain Meshes?
The optimal rapidly exploring random tree (RRT*) is proven asymptotically optimal on open subsets of Euclidean space with straight-line local planning.Compiling, Validating, and Using Human Reference Atlas Cell Type Annotation Crosswalks
The Human Reference Atlas (HRA) v2.5 includes 4,807 anatomical structures, 1,347 cell types, and 2,215 biomarkers (genes, proteins, lipids); 81 organs with 1,392 anatomical structures modeled in…CellCanon: An Agentic Cellular World Model for Prediction, Explanation, and Observation-Driven Updating
Biological discovery requires using molecular knowledge and new measurements to infer responses beyond the conditions already observed.When Is One Query per Template Enough? Adapting Learned Cost Models to New Hardware
A learned cost model that predicts query runtimes is trained on measurements from one machine.Chronos: Sequential Identity-Preserving Video Generation by Temporal Anchoring
Identity-preserving video generation aims to synthesize high-quality and visually realistic videos from textual and visual conditions while faithfully maintaining the subject's identity across…RECAP: Context-Aware Prediction Recycling with Request-Local and Persistent Memories for Multimodal Speculative Decoding
Recycling a target model's own predictions offers a training-free source of proposals for speculative decoding.
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