Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,312In brief24More (on-topic)3,333Not relevant13,753Not assessed87Older351Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Chain of Thought Monitoring Can Fail Even When CoT Is Necessary This paper shows chain-of-thought monitoring can fail even when reasoning is necessary, proposing a multi-level hierarchy to measure monitorability. Ranked #38Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a framework and hierarchy to measure when chain-of-thought monitoring fails. | |
| From Language to Motion: Task-Conditioned Focal-Stack Trajectory Integration for Microscopic Robots The paper proposes a focal-stack trajectory integration framework mapping instructions to constrained geometric paths for microscopic robot manipulation. Ranked #38Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:29 | On-topic Proposes multi-view microscope vision methods to guide microscopic robotic trajectory execution for parts handling. | |
| AI Models Can Provably Hide Arbitrary Capabilities The paper shows that backdoor mechanisms can cryptographically hide arbitrary neural network capabilities until activated by secret triggers. Ranked #38Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Demonstrates backdoor attacks hiding dangerous capabilities against safety audits and alignment training. | |
| Unsupervised Multimodal Reward Modeling Trains an unsupervised vision-language reward model using intermediate layer representations and caption perturbations without human preference labels. Ranked #38Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Develops an unsupervised reward model specifically for vision-language backbones and captions. | |
| VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility The paper presents VoteGEO-Bench to measure how rewriting web content influences information visibility in generative search engine election queries. Ranked #39Surprising resultPreprint7/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 17 Oct, 06:17 | On-topic Investigates how web content optimization influences generative search engines retrieving external sources. | |
| Do Personalized LLMs Need the Whole Conversation? Matching the Full History with Only 5% of Its Text via Relevance-Filtered Context This paper demonstrates that sentence-level relevance retrieval can match full conversation history accuracy in personalized language models using only five percent context. Ranked #39Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Cuts LLM inference input 20-fold using lightweight sentence retrieval over full histories. | |
| Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation The paper examines interpretive lock-in where planning agents generate code passing self-generated tests while missing the actual specification requirements. Ranked #39Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Investigates interpretive lock-in failures during plan-based DataFrame code generation. | |
| AuthGateBench: Benchmarking LLMs as Authorization Gate Introduces a policy-guided benchmark evaluating language models acting as authorization gates for tool-using coding agents. Ranked #39New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Focuses on authorization gating and safety mechanisms for autonomous coding agents. | |
| Seeing Through the Forgery Is Not Enough: Regressive Sycophancy under Fabricated Evidence in Medical Vision-Language Models The authors show that medical vision-language models frequently abandon correct clinical answers when prompted with fabricated medical documents. Ranked #39Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Tests and measures failure modes and sycophancy in medical vision-language models. | |
| UltraLight Luma: A Novel Edge-Deployable Perception Network for Crop-Row Segmentation in Agricultural Robotics Presents a lightweight 13.1k-parameter segmentation network for real-time crop-row detection and visual servoing on resource-constrained agricultural robots. Ranked #39Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:29 | On-topic Presents an edge-deployable computer vision perception model for autonomous agricultural robotics. | |
| ToFu: Exploiting and Fuzzing the LLM-Orchestrator-Tool Trust Boundary The paper introduces an automated framework that fuzzes and identifies semantic security bugs across Model Context Protocol server tools. Ranked #39Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 12 Oct, 16:28 | On-topic Analyzes security vulnerabilities, fuzzing, and input sanitization failures at LLM agent tool boundaries. | |
| Locate, Judge, Read: Role-Specialized Tool Agents over a Knowledge-Point Index for Open-Domain Multimodal Document QA Designs a modular multi-agent pipeline separating search, verification, and reading for multimodal document question answering. Ranked #39Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Handles reading and reasoning over multimodal documents combining text, images, and tables. | |
| JevCoder: When Does Decision Delegation Pay Off in Code Repair? The paper evaluates delegating code-repair decisions to low-cost probabilistic judges to reduce token costs without losing accuracy. Ranked #40Surprising resultPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 15:06 | On-topic Directly addresses reducing token cost and improving automated program repair on SWE-bench. | |
| To Cache or Not to Cache: Understanding and Mitigating Safety Incompatibility in Cross-Model KV Cache Reuse The paper studies safety behavioral deviations caused by cross-model key-value cache reuse and proposes an alignment technique to mitigate them. Ranked #40Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Studies efficient inference via cross-model KV cache sharing and mitigates resulting safety alignment issues. | |
| Lumen-bench: Cross-Lingual Safety Gaps and the Say-Do Problem in Tool-Calling Large Language Models The paper introduces a multilingual benchmark evaluating safety and discrepancies between verbal refusals and tool actions in tool-calling language models. Ranked #40New testPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Investigates cross-lingual safety gaps and refusal failures in deployed tool-calling systems. | |
| When Agent Evaluation Becomes Unreliable: An Empirical Study of Oracle Failures and Configuration-Dependent Measurement in an LLM Agent Benchmark The paper audits agent evaluation benchmarks for software defects, showing that broken reward functions and configuration shifts substantially distort reported success rates. Ranked #40New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Audits evaluation harnesses and oracles specifically used for LLM agent benchmarks. | |
| Can Agents Forget When Asked? A Benchmark for Memory Unlearning in LLM Agents The authors introduce Bemula, a benchmark designed to evaluate how accurately language model agents erase specific user memories upon request. Ranked #40New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark specifically measuring memory unlearning in agent systems. | |
| MemReg: Streaming Outdoor LiDAR Point Cloud Registration with Hybrid Memory Buffers Proposes a multi-frame outdoor LiDAR registration network using hybrid feature and pose memory buffers to leverage temporal sequences. Ranked #40Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Applies streaming LiDAR point cloud registration to autonomous driving and robotic perception. | |
| When VLMs Destroy What They Know: Spatial Representations Fall Below Lexical Priors The paper evaluates vision-language models' spatial representations using causally controlled perturbations, showing spatial relations degrade compared to lexical features. Ranked #40Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates how vision-language models fail to encode structured spatial relations internally. | |
| Web$hell: A Unified Interface for Agentic Web Access Proposes Web$hell, a unified interface combining broad information gathering, browser interactions, and evidence management for web-based agents. Ranked #40New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Addresses information gathering, evidence caching, and retrieval from live web documents during agentic tasks. | |
| Beyond Functional Correctness: Static Code Quality Profiling of LLM-Generated Code This paper profiles the maintainability and structural code quality of model-generated Python programs using static analysis tools. Ranked #41New way to see a problemPeer-reviewed7/10 suggested | LLMs for code via arxiv · 15 Oct, 15:07 | On-topic Evaluates LLM-generated code quality using static analysis metrics like maintainability. | |
| DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation Introduces a low-rank adaptation method that splits rank budgets into stable and dynamic branches to capture residual gradients outside the tangent space. Ranked #41Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Presents a low-rank adaptation method that captures residual gradients without adding parameter or inference overhead. | |
| DelegateGuard: Purpose-Bound Capabilities for Delegated LLM Agent Workflows The paper introduces an external reference monitor that enforces purpose-bound capabilities to secure multi-agent delegation against confused-deputy attacks. Ranked #41New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Develops a reference monitor to enforce purpose-bound authorization and prevent agent confused-deputy attacks. | |
| When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems The paper investigates privacy leakage caused by multi-agent network topologies and proposes an execution sanitizer conditioned on recipient identity. Ranked #41Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Examines communication topologies and information leakage in multi-agent LLM systems. | |
| Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning The paper studies how much models contribute to multi-model teams, showing individual test scores do not correlate well with collaborative performance. Ranked #41Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates how well standalone benchmarks reflect LLM performance in collaborative systems. | |
| SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models Introduces a benchmark evaluating how well vision-language models predict unseen physical outcomes following scene interventions. Ranked #41New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Core contribution evaluates spatial reasoning benchmarks specifically designed for vision-language models. | |
| Trajectory Prediction for Autonomous Driving in Road Construction Zones Using Human-in-the-Loop Driving Data Constructs a multimodal simulator dataset and trajectory prediction model for autonomous driving in urban roadway work zones. Ranked #41Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Focuses on perception and trajectory prediction for autonomous driving in construction zones. | |
| PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-Real Proposes PRIME, an index-side optimization framework using semantic restructuring and deterministic metadata synthesis to improve document retrieval. Ranked #41New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Proposes pre-retrieval index restructuring and hierarchical retrieval for external document databases. | |
| Priming Base Models for Agentic Post-Training: An Open Midtraining Recipe The paper outlines a long-context midtraining stage using software engineering data to prepare base language models for agentic tasks. Ranked #42New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Trains models on software repositories, pull requests, and commit histories to improve SWE-bench benchmarks. | |
| Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem The paper presents a theoretical framework using nesting properties to calculate distance bounds and compare language model truncation sampling algorithms efficiently. Ranked #42Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Provides formal distance certificates to compare efficient truncation decoding algorithms. | |
| Privacy Conductor: An Architectural Enforcement of Contextual Integrity in LLM-Based Document Retrieval The paper proposes a deterministic gating architecture enforcing contextual integrity access control for enterprise document retrieval in language models. Ranked #42Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Evaluates deterministic policy enforcement versus LLM reasoning for secure enterprise document retrieval. | |
| TRAP: Tool-result Replay Attack for Probing Misbinding in LLM Agents Presents a benchmark and attack method to evaluate failures caused by tool results misbinding to incorrect execution contexts in LLM agents. Ranked #42Surprising resultPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes failure modes in LLM agents when handling external tool execution results. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Ranked #42Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Audits LLM-as-a-judge failure attribution methods and shows their diagnostic limitations. | |
| Compact and Efficient Indexes for Learned Sparse Retrieval Designs compact inverted and forward index structures using medoid summaries and SIMD-friendly bit-packing to reduce learned sparse retrieval memory footprint. Ranked #42New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:29 | On-topic Proposes compact indexes and compression techniques for learned sparse retrieval systems. | |
| SteerablePlex: Can We Steer Full-Duplex Models? Introduces an instruction-following benchmark and training recipe to improve goal adherence in full-duplex conversational models. Ranked #42New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Applies to multimodal full-duplex speech and conversational audio models. | |
| Onboard Marine Anomaly Detection on $Φ$sat-2: From Simulation-Based Development to In-Orbit Demonstration Describes an onboard satellite pipeline combining segmentation and self-supervised feature encoding for real-time marine anomaly detection. Ranked #42Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Deploys a vision pipeline for anomaly detection on real operational hardware under constraints. | |
| A Self-Improving Agent that Grows its Own DSL: Oracle-Free Operator Induction for Exact Question Answering The paper presents an agent that expands its domain-specific language for exact answering without external rewards or judges. Ranked #43New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Induces and synthesizes executable DSL code operators to solve tasks. | |
| Mixed Precision Scaling Laws for Quantized Pretraining The paper proposes mixed precision scaling laws to model the trade-offs of low-precision quantization during model pretraining. Ranked #43Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Develops scaling laws and optimal recipes for low-precision quantized pretraining and training efficiency. | |
| The Agent Clicks Approve: Injected Page Text Makes Browser Agents Authorize Access the Task Never Named The paper investigates confused-deputy vulnerabilities where injected web page text causes browser agents to approve unauthorized access requests. Ranked #43Surprising resultPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Investigates prompt injection causing autonomous browser agents to authorize unauthorized access to sensitive accounts. | |
| agent-risk: Risk Assessment for Changes to AI Agents Provides a framework for assessing risks of proposed changes to deployed AI agents by selectively replaying execution logs and saved states. Ranked #43New way to see a problemPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Analyzes risk assessment and safety gating for deployed autonomous AI agents. | |
| CWE-bench: Refocusing Agentic Security from Exploitation to Defense The paper presents CWE-bench, a benchmark of 120 held-out software tasks to evaluate AI agents on finding and repairing security vulnerabilities. Ranked #43New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces CWE-bench, a benchmark evaluating agentic code auditing and repair capabilities. | |
| Splat2Act: From Captured Scenes to Personalized VLA Manipulation Builds an automated real-to-sim-to-real framework using 3D Gaussian Splatting to adapt robot manipulation policies to specific rooms. Ranked #43Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Uses vision-language-action policies and digital twin scanning for robotic indoor manipulation. | |
| When History Helps and Hurts: Selective History Use across Multimodal Turns The paper introduces a 7,000-task benchmark to evaluate how multimodal models selectively use or ignore conversational context. Ranked #43New testPreprint7/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Evaluates omni-modal, vision-language, and audio-language models across multimodal turns. | |
| Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification Compares hyperbolic and Euclidean embeddings for unsupervised patent representation to improve cross-category prior-art discovery. Ranked #43Surprising resultPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 12 Oct, 16:28 | On-topic Focuses on prior-art retrieval systems and comparing embedding geometries for document search. | |
| FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models Develops a robustness auditing framework that evaluates multimodal models against pixel perturbations and competing rendered-text visual overlays. Ranked #44New testPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Audits pathway-conditioned vulnerabilities and adversarial robustness in native vision-language models. | |
| OPRD: On-Policy Reminder Distillation for Long-Horizon Coding Agents Uses multi-scope reminders and on-policy distillation to help coding agents maintain constraints over long software engineering interactions. Ranked #44New way to see a problemPreprint7/10 suggested | LLMs for code via arxiv · 17 Oct, 06:17 | On-topic Addresses long-horizon repository-level code generation and tool feedback on SWE-bench. | |
| Plant Memory: Technical Language Processing and a Verified Maintenance Ontology for Agent-Accessible Failure Knowledge from SAP PM Work Orders The paper presents a system using technical language processing to transform industrial maintenance work order records into an ontology. Ranked #44New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 15:06 | On-topic Extracts and verifies maintenance ontologies to provide structured knowledge for downstream queries. | |
| Lightweight Scheduling Policies for Continuously Batched LLM Serving Across GPU Architectures This paper evaluates lightweight scheduling policies for continuous batching in large language model serving across different GPU architectures. Ranked #44Surprising resultPreprint7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Investigates lightweight scheduling policies to improve continuous batching and serving throughput. | |
| KedgeFlow: A Programmable Control Plane for Enterprise AI Agents The paper proposes a control plane enforcing structured contracts and single-use allowances to prevent unauthorized actions by enterprise AI agents. Ranked #44New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Develops a control plane to enforce authorization and prevent rogue or duplicated actions by enterprise agents. | |
| Uncovering Robustness Weaknesses in LLM Agents via Persona Evolution with Task-Integrity Constraints This paper introduces TIPER, a method that evolves challenging user personas to test language model agent robustness without invalidating underlying tasks. Ranked #44New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Evaluates and exposes robustness weaknesses in interactive LLM agents using persona evolution. | |
| When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing Shows that language agents often ignore identified cross-domain dependencies, causing unintended disruptive actions in network management. Ranked #44Surprising resultPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates ten models across providers in a controlled environment. | |
| Chronos Policy: Learning Robot Policies on Physical Time Formulates robot action diffusion policies that condition directly on physical timestamps using time-aware rotary positional embeddings. Ranked #44Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Develops robot policy learning with physical time conditioning for robotic manipulation and perception. | |
| Accelerating Cross-Model LLM Inference via Attention Map Reuse This paper presents a system that speeds up multi-model language model serving by translating and reusing attention maps across models. Ranked #45Surprising resultPeer-reviewed7/10 suggested | Small and efficient models via arxiv · 15 Oct, 06:18 | On-topic Accelerates cross-model LLM serving and reduces prefilling latency via attention reuse. | |
| Data-Free Continual Learning for World Action Model with Rectified Generative Replay This paper proposes a rectified generative replay framework enabling robotic world action models to continually learn new tasks without storing past data. Ranked #45Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Explores multimodal video generation models acting as world action models in robotics. | |
| Names Are Not Objects: Object-Bound Confinement for Compromised AI Coding Agents The paper proposes an object-bound sandboxing broker to confine compromised AI coding agents and prevent unauthorized system actions. Ranked #45New way to see a problemPreprint8/10 suggested | AI safety and reliability in deployment via arxiv · 15 Oct, 06:18 | On-topic Proposes a sandbox defense to contain compromised AI coding agents safely. | |
| MedHarnessBench: A Unified Benchmark for Healthcare Agent Evaluation The paper presents an evaluation benchmark assessing seven clinical process dimensions for healthcare agents across longitudinal workflows. Ranked #45New testPreprint8/10 suggested | AI agents via arxiv · 15 Oct, 06:17 | On-topic Studies multi-step healthcare agents executing longitudinal clinical workflows and tool interactions. | |
| Same Operation, Different Permission: Evaluating Whether Guardrails Honor Authorization The paper introduces a benchmark to evaluate whether language-model guardrails properly distinguish authorized from unauthorized actions across identical operations. Ranked #45New testPreprint8/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark evaluating whether guardrails accurately enforce authorization decisions. | |
| Knowledge Graphs as Files: An Agent Harness Where Tool Creation and Tool Use Co-Evolve This paper proposes a system where language model agents write code to create and refine tools directly over raw knowledge-graph files. Ranked #45New way to see a problemPreprint6/10 suggested | Retrieval-augmented generation (RAG) via arxiv · 15 Oct, 06:17 | On-topic Focuses on agentic retrieval and evidence extraction across text-rich knowledge graph files. | |
| SolBehave: Evaluating the Behavioural Correctness of LLM-Generated Smart Contracts The paper introduces a benchmark using fuzzing and transaction replays to evaluate the behavioral correctness of generated smart contracts. Ranked #45New testPreprint7/10 suggested | LLMs for code via arxiv · 15 Oct, 06:17 | On-topic Evaluates and repairs LLM-generated Solidity code using behavioral testing. | |
| Tracking the Invisible: Self-Supervised Wheel Track Detection with Thermal-RGB Fusion Uses self-supervised thermal-RGB fusion to detect drivable wheel tracks on snow-covered roads for autonomous vehicles. Ranked #45Preprint0/10 suggested | Computer vision for industrial applications via arxiv · 12 Oct, 16:28 | On-topic Presents RGB-thermal fusion for autonomous drivable area perception under adverse winter conditions. |
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