Every paper checked — nothing hidden

All papers

Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.

All17,313 In brief24 More (on-topic)3,333 Not relevant13,754 Not assessed87 Older352 Could not confirm93 Blogs with no paper266 All blogs284

Paper	Topic	Relevance
Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI This paper introduces specification templates to define operational boundaries, authority, and oversight for autonomous software agents. Peer-reviewedOlder paper (2026) Older paper (2026) — discussed this week	LLMs for code via acm · 15 Oct, 06:19	Not relevant Focuses on general autonomy specification rather than code generation systems.
Agentic Hyperautomation: A Distributed Architecture for Scalable AI-Driven Workflows This paper presents a multi-agent framework where a central model coordinates specialized agents and tools for business workflow automation. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week	Retrieval-augmented generation (RAG) via ieee · 15 Oct, 06:19	Not relevant Focuses on multi-agent hyperautomation; RAG is only a minor component.
When pose graphs are not enough: a failure analysis of pose-graph-based camera estimation for Gaussian splatting This paper analyzes the accuracy limits of pose-graph optimization compared to bundle adjustment for drone-based Gaussian splatting. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Covers real estate 3D reconstruction, not manufacturing defect detection.
Efficient Multimodal Beam Prediction for Real-World 6G UAV Communications via Image-Position-Synthetic Fusion This paper evaluates a multimodal neural network that fuses drone camera images and kinematic data for communications beam prediction. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Studies 6G UAV beam prediction, not industrial visual inspection.
Jensen-Bregman split Gibbs sampling This paper extends split Gibbs sampling to non-Euclidean geometries using Jensen-Bregman divergence for imaging inverse problems. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Presents sampling algorithms for inverse problems, not industrial quality control.
Calibrating Generative Flows through Regional Probability Matching This paper introduces a flow-matching method that preserves regional probability mass to model rare events more accurately. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Addresses generative flow mathematics, not industrial computer vision applications.
Low-Altitude Agentic Networks: From UAV Connectivity to Workflow-Driven Capability Orchestration This paper proposes an agentic architecture that dynamically coordinates distributed drone capabilities based on workflow demands. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Focuses on UAV networking workflows, not industrial visual inspection.
Recovery-Oriented Optical System Design Based on Fisher Information This paper proposes an optical system design framework based on Fisher information to improve downstream image restoration performance. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:19	Not relevant Addresses optical lens design, not industrial inspection or defect detection.
Vibe Coding with Google AI Studio Case Study This case study evaluates a non-programmer using an AI development tool to build a database application in a non-English language. Peer-reviewed	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Examines non-programmer code generation rather than AI safety guardrails.
Conserved amount, negotiable placement. Prompting perturbs one architecture, an AI reviewer both The paper examines how prompting conditions and automated agent reviews affect code complexity placement across two software architectures. Peer-reviewed	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on software architecture evolution, not AI deployment safety.
Agentic Evolution of SQL Test Generators The authors use coding agents and execution validation to add new database dialect features into reusable database test generators. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Addresses database testing evolution rather than AI deployment safety guardrails.
HoldSpec: A Machine-Checked Model and Conformance Suite for the Payment Authorization Hold Lifecycle The paper models payment authorization hold lifecycles using formal state machines to generate conformance tests for provider application interfaces. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on payment API conformance testing, not AI deployment safety.
HoldSpec: A Machine-Checked Model and Conformance Suite for the Payment Authorization Hold Lifecycle The paper models payment authorization hold lifecycles using formal state machines to generate conformance tests for provider application interfaces. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Covers formal TLA+ specifications for payments, not LLMs for code.
Taylor-Approximation-Based Repair of High Floating-Point Errors The authors present a framework that uses localized Taylor approximations to repair high floating-point calculation errors in numerical C routines. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Presents numerical C routine repair via Taylor approximations without LLMs.
Taylor-Approximation-Based Repair of High Floating-Point Errors The authors present a framework that uses localized Taylor approximations to repair high floating-point calculation errors in numerical C routines. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Covers classical numerical floating-point repair, not LLM deployment safety.
Rethinking SZZ Search Strategies: Lessons from Claude Code The paper studies whether flexible search strategies used by coding agents improve the identification of commits that introduce software bugs. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Studies commit history search strategies rather than AI deployment risks.
When Is a Reconciliation Break Real? A Temporal Correctness Contract for Streaming Financial Reconciliation The authors provide a formal correctness contract to identify genuine breaks in asynchronous streaming financial reconciliation systems. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on financial streaming correctness rather than AI deployment safety.
When Is a Reconciliation Break Real? A Temporal Correctness Contract for Streaming Financial Reconciliation The authors provide a formal correctness contract to identify genuine breaks in asynchronous streaming financial reconciliation systems. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant About formal stream processing contracts, not LLM code generation.
Executable but Unfaithful: Mock Object, Stub, and Assertion Generation by LLMs and Coding Agents The paper introduces a benchmark to evaluate how accurately language models and coding agents generate mock objects, stubs, and assertions. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Targets unit test mock generation, not deployment safety or guardrails.
TileCas: Cascading Kernel Development Across Programming Abstractions The paper presents an interface that lets coding agents navigate and edit multiple abstraction levels when generating accelerator kernels. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on compiler kernel generation rather than safety or reliability.
Testuary: Agentic Test Generation with Zero-Shot Parallelism The authors combine zero-shot test suite generation with agentic refinement to improve test coverage and mutation scores. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on automated test generation rather than deployment safety guardrails.
Verifying Autoware Controller Node by Combining Model Verification and Runtime Monitoring The paper combines formal dynamic logic models and runtime monitoring to verify trajectory-following control in the Autoware autonomous driving platform. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Addresses formal verification of autonomous driving controllers, not LLMs for code.
Verifying Autoware Controller Node by Combining Model Verification and Runtime Monitoring The paper combines formal dynamic logic models and runtime monitoring to verify trajectory-following control in the Autoware autonomous driving platform. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on formal control theory for vehicles rather than LLM safety, guardrails, or alignment.
PassSum: Leveraging Paths of Abstract Syntax Trees and Self-Supervision for Code Summarization The paper proposes a code summarization method that encodes abstract syntax tree paths using self-supervised learning to reduce training overhead. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on code summarization performance, not AI system safety or reliability in deployment.
Comparing the Pre-trained Models of Source Code by Re-pre-training under a Unified Setup The paper evaluates pre-trained code models under a standardized experimental setup to compare the impacts of their pre-training tasks fairly. Peer-reviewed	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Benchmarks pre-training objectives for code models, not deployment safety or guardrails.
Reviewing Beyond the Change: Repository Size and Existing Code Across Agent and Human Pull Requests The paper studies how often human and agent pull request reviews reference existing repository code outside the submitted change. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Studies repository context in code reviews, not deployment safety or reliability risks.
Separating Statistical Inference from Experimental Runtime: An Architecture for Sequential Scientific Analysis The authors present a software architecture that separates incremental statistical calculations from execution runtimes and data delivery pipelines. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Addresses general scientific computing architecture rather than AI deployment safety risks.
Separating Statistical Inference from Experimental Runtime: An Architecture for Sequential Scientific Analysis The authors present a software architecture that separates incremental statistical calculations from execution runtimes and data delivery pipelines. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Proposes a software architecture for sequential statistics, not LLMs for code.
BRQGen: Towards Adaptive Completeness Assessment and Follow-Up Question Generation for Bug Reports The paper proposes a framework that identifies missing information in bug reports and generates targeted follow-up questions only when needed. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on bug report clarification rather than AI safety or reliability in production.
Software Testing Meets Bayesian Workflow: A Literature-Driven Artifact Study of Probabilistic Programs The authors analyze statistical literature to turn visual judgment guidelines into testable correctness specifications for probabilistic programs. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on statistical software testing, not AI deployment safety or model guardrails.
Software Testing Meets Bayesian Workflow: A Literature-Driven Artifact Study of Probabilistic Programs The authors analyze statistical literature to turn visual judgment guidelines into testable correctness specifications for probabilistic programs. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Studies testing of Bayesian probabilistic programs without addressing LLMs for code.
Domain-Knowledge Driven Configuration Tuning of Kubernetes Workloads The paper presents a method using domain constraints to tune Kubernetes workload configurations without disrupting live production performance. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Tackles Kubernetes cloud configuration optimization, not LLMs for code or software development.
Domain-Knowledge Driven Configuration Tuning of Kubernetes Workloads The paper presents a method using domain constraints to tune Kubernetes workload configurations without disrupting live production performance. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Deals with platform infrastructure tuning rather than safety and reliability of AI deployments.
DeepGroundRepair: From API-Grounded Generation to Shape-Aware Repair for Deep Learning Programs This paper presents a three-stage generation and repair framework to resolve API constraints and tensor shape errors in deep learning programs. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on program synthesis correctness rather than deployment safety, guardrails, or jailbreaks.
When Is RTL Better? Auditing Evaluation Stability with Tool-Grounded Requirement Profiles The authors introduce tool-grounded requirement profiles to audit and stabilize how register-transfer-level code generation is evaluated. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on hardware code synthesis evaluation rather than AI system deployment safety.
Cross-Project Bug Localization: What Works, What Doesn't, and Why The paper compares three cross-project bug localization model architectures across 13 open-source Python projects against limited within-project baselines. Preprint	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Evaluates traditional deep learning models for bug localization without involving LLMs for code.
Cross-Project Bug Localization: What Works, What Doesn't, and Why The paper compares three cross-project bug localization model architectures across 13 open-source Python projects against limited within-project baselines. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Investigates cross-project bug localization algorithms, not AI deployment safety or reliability.
State-Aware Generation of Deployable Websites from Visual Prototypes and Requirements The paper introduces a graph framework to maintain consistency across visual elements, workflows, and code when generating websites from prototypes. Preprint	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Addresses prototype-to-code alignment rather than general AI safety, guardrails, or hallucination prevention.
Mobile App Analysis in the New Era: Challenges and the Road Ahead This paper reviews challenges in mobile app analysis across code artifacts, runtime systems, and application ecosystems. Peer-reviewed	AI safety and reliability in deployment via arxiv · 15 Oct, 06:19	Not relevant Focuses on conventional mobile app testing and compliance, not AI deployment safety or reliability.
Mobile App Analysis in the New Era: Challenges and the Road Ahead This paper reviews challenges in mobile app analysis across code artifacts, runtime systems, and application ecosystems. Peer-reviewed	LLMs for code via arxiv · 15 Oct, 06:19	Not relevant Discusses general mobile app analysis challenges rather than code LLMs or coding assistants.
Make π0.5 Learn to Call Astra for Reliable Robot Manipulation The paper adds a lightweight decision head to a robot policy to call an external reasoning model only during critical recovery events. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Examines robot manipulation policies and VLM calls, not industrial vision or defect detection.
Refine Where It Matters: Contact-Adaptive Meshing for Deformable Object Manipulation Introduces GPU-parallel adaptive mesh refinement to simulate deformable object manipulation efficiently by focusing resolution on contact areas. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses simulation meshing for deformable object manipulation, not industrial inspection.
Observation-Referenced Tissue Deformation Forecasting with Tool-Driven and Residual Dynamics Presents a method to forecast surgical tissue deformation from preplanned instrument trajectories using observation-referenced dynamic models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on surgical tissue deformation forecasting, not industrial computer vision or quality control.
Mapping Tire-Road Friction Coefficients Along Driven Trajectories Proposes an offline smoothing method to estimate and map tire-road friction coefficients from standard on-board vehicle sensors. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses vehicle tire-road friction estimation, not industrial manufacturing vision or inspection.
Composable Dynamics for Cooperative Humanoids: A RoboCompiler Extension Presents a dynamics compiler extension that models coupled multi-body kinematics and forces for teams of physically connected humanoids. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Covers humanoid robot dynamics modeling, not industrial computer vision or quality inspection.
From LLM Plans to Authorized Motion: Execution-Bound Authorization for Excavators Introduces an authorization and monitoring framework to verify and bound autonomous excavator motions generated by language models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Addresses excavator motion authorization and safety, not industrial computer vision or defect inspection.
PILOT: Guiding Long-Horizon World-Model Planning for Robot Manipulation with Visual Subgoals and Policy Priors Guides long-horizon world-model planning in robotic manipulation using video-generated visual subgoals and learned policy priors. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Focuses on robotic manipulation planning, not industrial defect detection or visual quality inspection.
CoPlanVLM: Coordinated Path Planning for a Robot Team using Vision Language Models Combines vision-language models with spatial overlays and chain-of-thought prompting to plan coordinated paths for multi-robot teams. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Multi-robot path planning via VLMs, not industrial defect detection.
OATH: Object-Agnostic Tracking for Dexterous Hands, Enabling Rapid Physics-based Retargeting Presents a residual learning approach for physics-based demonstration retargeting to achieve zero-shot robotic grasping across arbitrary objects. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Dexterous hand motion retargeting, not industrial visual quality control.
Red-Teaming of Vision-Language-Action Models via Quality Diversity Environment Generation Introduces quality-diversity optimization to generate adversarial environments for red-teaming and fine-tuning vision-language-action models. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Red-teaming generalist robot policies, not industrial visual inspection.
Shared-Control Teleoperation of Omnidirectional Aerial Robots for Continuous Valve Rotation Demonstrates a shared-control teleoperation system enabling continuous industrial valve rotation using omnidirectional aerial robots. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Aerial teleoperation for valve turning, not industrial computer vision inspection.
From Field to Planning: Learning Temporal Polar Gradient Fields for Vision-based AAV Trajectory Planning in Dynamic Environments Proposes a two-stage polar gradient field method for real-time vision-based aerial vehicle trajectory planning in dynamic environments. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Aerial vehicle trajectory planning, not industrial inspection or defect detection.
Safety-Critical Quadrotor Navigation Using Fourth-Order Control Barrier Functions with Full Nonlinear Quadrotor Dynamics Develops a fourth-order control barrier function framework incorporating full nonlinear dynamics for safe quadrotor obstacle avoidance. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Quadrotor control barrier functions, not industrial visual quality control.
Before We Act: Learning Action-Conditioned Team-Response Beliefs for Decentralized Multi-Robot Manipulation Presents a decentralized multi-robot manipulation method that predicts teammate responses to coordinate collective actions under local sensing. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Decentralized multi-robot manipulation coordination, not industrial visual inspection.
From Video to Vision: Learning Generalizable Humanoid Carrying from Human Motion Introduces a multi-stage reinforcement learning framework to teach humanoid robots generalizable object carrying directly from video demonstrations. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Humanoid locomotion and object carrying, not industrial visual inspection.
In View or Out of View? A Vision-Aware Filter that Infers and Reacts to the Human's Field of View Proposes an action-filtering framework enabling robots to infer human visual visibility and adapt behavior during human-robot interactions. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Human-robot interaction filtering, not industrial inspection or defect detection.
PC7 Model: Dynamics of Expanding and Contracting Soft Robots using Piece-wise Constant 7D Deformation Based on Similarity Transformation Group Introduces a seven-dimensional deformation model based on similarity transformation groups to simulate expanding and contracting soft robots. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Soft robotics kinematics and dynamics, not industrial computer vision.
Load-Aware Quadruped Navigation with Online Contact-based Geometry Estimation Introduces a learning framework enabling quadruped robots to estimate carried object geometries from contact and adapt navigation paths. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Quadruped locomotion and navigation, not industrial visual quality control.
StateSkill-Agent: An Effective and Efficient Embodied Agent via State-conditioned Skill Develops an embodied agent architecture using finite-state machine skill representations to structure and reuse multimodal interaction policies. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Embodied agent skill representation, not industrial visual defect detection.
AnyRank: Reliable Anytime Policy Ranking via Sequential Testing Proposes a sequential testing method to reliably rank robotic policies with minimal physical hardware trials. Preprint	Computer vision for industrial applications via arxiv · 15 Oct, 06:18	Not relevant Statistical method for robot policy evaluation, not industrial vision.

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