{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/decision-making/papers/45","list_of":"/task/decision-making","task":"Decision Making","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":45,"pages_in_order":124,"rows_per_page":100,"rows":[4401,4500],"of":12311,"counts":{"archive_papers_tagged":12311,"with_a_code_link":2946,"where_syntology_ran_a_sample":678,"not_listed_spam_title":0,"listed":12311,"listed_where_code_ran":678,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":118,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/decision-making","prev":"/task/decision-making/papers/44","next":"/task/decision-making/papers/46","papers":[{"url":null,"slug":"optimizing-probabilistic-conformal-prediction","title":"Generative Conformal Prediction with Vectorized Non-Conformity Scores","date":"2024-10-17","arxiv_id":"2410.13735","repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-rag-self-probing-to-guide-language","title":"Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval","date":"2024-10-17","arxiv_id":"2410.13339","repositories_listed":0,"syntology":null},{"url":null,"slug":"pseudo-dataset-generation-for-out-of-domain","title":"Pseudo Dataset Generation for Out-of-Domain Multi-Camera View Recommendation","date":"2024-10-17","arxiv_id":"2410.13585","repositories_listed":0,"syntology":null},{"url":null,"slug":"rgb-to-hyperspectral-spectral-reconstruction","title":"RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging","date":"2024-10-17","arxiv_id":"2410.13570","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-subtlety-of-optimal-paternalism-in-a","title":"The Subtlety of Optimal Paternalism in a Population with Bounded Rationality","date":"2024-10-17","arxiv_id":"2410.13658","repositories_listed":0,"syntology":null},{"url":null,"slug":"conformity-in-large-language-models","title":"Conformity in Large Language Models","date":"2024-10-16","arxiv_id":"2410.12428","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistency-calibration-improving-uncertainty","title":"Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors","date":"2024-10-16","arxiv_id":"2410.12295","repositories_listed":0,"syntology":null},{"url":null,"slug":"double-bayesian-learning","title":"Double-Bayesian Learning","date":"2024-10-16","arxiv_id":"2410.12984","repositories_listed":0,"syntology":null},{"url":null,"slug":"first-person-fairness-in-chatbots","title":"First-Person Fairness in Chatbots","date":"2024-10-16","arxiv_id":"2410.19803","repositories_listed":0,"syntology":null},{"url":null,"slug":"insights-from-the-inverse-reconstructing-llm","title":"Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse RL","date":"2024-10-16","arxiv_id":"2410.12491","repositories_listed":0,"syntology":null},{"url":null,"slug":"sac-glam-improving-online-rl-for-llm-agents","title":"SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling","date":"2024-10-16","arxiv_id":"2410.12481","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-densemobilenet-a-robust-framework-for","title":"Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier","date":"2024-10-16","arxiv_id":"2410.12584","repositories_listed":0,"syntology":null},{"url":null,"slug":"strux-an-llm-for-decision-making-with","title":"STRUX: An LLM for Decision-Making with Structured Explanations","date":"2024-10-16","arxiv_id":"2410.12583","repositories_listed":0,"syntology":null},{"url":null,"slug":"tpfl-a-trustworthy-personalized-federated","title":"TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic","date":"2024-10-16","arxiv_id":"2410.12316","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-protected-attributes-to-consider","title":"Using Protected Attributes to Consider Fairness in Multi-Agent Systems","date":"2024-10-16","arxiv_id":"2410.12889","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-prompt-guided-spatio-temporal-transformer","title":"A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting","date":"2024-10-15","arxiv_id":"2410.11924","repositories_listed":0,"syntology":null},{"url":null,"slug":"black-box-uncertainty-quantification-method","title":"Black-box Uncertainty Quantification Method for LLM-as-a-Judge","date":"2024-10-15","arxiv_id":"2410.11594","repositories_listed":0,"syntology":null},{"url":null,"slug":"diar-diffusion-model-guided-implicit-q","title":"DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation","date":"2024-10-15","arxiv_id":"2410.11338","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-based-offline-rl-for-improved","title":"Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task","date":"2024-10-15","arxiv_id":"2410.11324","repositories_listed":0,"syntology":null},{"url":null,"slug":"dodt-enhanced-online-decision-transformer","title":"DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting","date":"2024-10-15","arxiv_id":"2410.11359","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-ai-methods-for-multi-omics","title":"Explainable AI Methods for Multi-Omics Analysis: A Survey","date":"2024-10-15","arxiv_id":"2410.11910","repositories_listed":0,"syntology":null},{"url":null,"slug":"system-level-analysis-of-module-uncertainty","title":"System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline","date":"2024-10-15","arxiv_id":"2410.12019","repositories_listed":0,"syntology":null},{"url":null,"slug":"technical-report-of-1-10-scale-autonomous","title":"Technical Report of 1:10 Scale Autonomous Vehicle Robot","date":"2024-10-15","arxiv_id":"2410.11746","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectory-prediction-for-autonomous-driving-2","title":"Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding","date":"2024-10-15","arxiv_id":"2410.23298","repositories_listed":0,"syntology":null},{"url":null,"slug":"burning-red-unlocking-subtask-driven","title":"Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes","date":"2024-10-14","arxiv_id":"2410.10578","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-uncertainty-aware-forecasting-of","title":"Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery","date":"2024-10-14","arxiv_id":"2410.19782","repositories_listed":0,"syntology":null},{"url":null,"slug":"echo-state-networks-for-spatio-temporal-area","title":"Echo State Networks for Spatio-Temporal Area-Level Data","date":"2024-10-14","arxiv_id":"2410.10641","repositories_listed":0,"syntology":null},{"url":null,"slug":"et-former-efficient-triplane-deformable","title":"ET-Former: Efficient Triplane Deformable Attention for 3D Semantic Scene Completion From Monocular Camera","date":"2024-10-14","arxiv_id":"2410.11019","repositories_listed":0,"syntology":null},{"url":null,"slug":"focused-react-improving-react-through","title":"Focused ReAct: Improving ReAct through Reiterate and Early Stop","date":"2024-10-14","arxiv_id":"2410.10779","repositories_listed":0,"syntology":null},{"url":null,"slug":"gender-bias-of-llm-in-economics-an","title":"Gender Bias of LLM in Economics: An Existentialism Perspective","date":"2024-10-14","arxiv_id":"2410.19775","repositories_listed":0,"syntology":null},{"url":null,"slug":"skill-learning-using-process-mining-for-large","title":"Skill Learning Using Process Mining for Large Language Model Plan Generation","date":"2024-10-14","arxiv_id":"2410.12870","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-reasoning-and-acting-in-medical","title":"Adaptive Reasoning and Acting in Medical Language Agents","date":"2024-10-13","arxiv_id":"2410.10020","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-kan-effective-for-identifying-and","title":"WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?","date":"2024-10-13","arxiv_id":"2410.10041","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextwin-whittle-index-based-mixture-of","title":"ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL","date":"2024-10-13","arxiv_id":"2410.09781","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-gender-bias-of-llms-in-making","title":"Evaluating Gender Bias of LLMs in Making Morality Judgements","date":"2024-10-13","arxiv_id":"2410.09992","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-implicit-bias-in-large-language","title":"Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs","date":"2024-10-13","arxiv_id":"2410.12864","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-video-based-stress-detection","title":"Interpretable Video based Stress Detection with Self-Refine Chain-of-thought Reasoning","date":"2024-10-12","arxiv_id":"2410.09449","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-analysis-on-ethical","title":"A Comparative Analysis on Ethical Benchmarking in Large Language Models","date":"2024-10-11","arxiv_id":"2410.19753","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-machine-learning-for-predicting","title":"Causal machine learning for predicting treatment outcomes","date":"2024-10-11","arxiv_id":"2410.08770","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-llm-ddqn-based-joint-optimization-of","title":"Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving","date":"2024-10-11","arxiv_id":"2410.08854","repositories_listed":0,"syntology":null},{"url":null,"slug":"juree-not-judges-safeguarding-llm","title":"JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles","date":"2024-10-11","arxiv_id":"2410.08442","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimized-biomedical-question-answering","title":"Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration","date":"2024-10-11","arxiv_id":"2410.12856","repositories_listed":0,"syntology":null},{"url":null,"slug":"sui-generis-large-language-models-for","title":"Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin","date":"2024-10-11","arxiv_id":"2410.09245","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferable-belief-model-on-quantum-circuits","title":"Transferable Belief Model on Quantum Circuits","date":"2024-10-11","arxiv_id":"2410.08949","repositories_listed":0,"syntology":null},{"url":null,"slug":"variance-reduction-combining-pre-experiment","title":"Variance reduction combining pre-experiment and in-experiment data","date":"2024-10-11","arxiv_id":"2410.09027","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-generative-ai-technique-for-synthesizing-a","title":"A Generative AI Technique for Synthesizing a Digital Twin for U.S. Residential Solar Adoption and Generation","date":"2024-10-10","arxiv_id":"2410.08098","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-aware-predictive-model-selection-for","title":"Decision-Aware Predictive Model Selection for Workforce Allocation","date":"2024-10-10","arxiv_id":"2410.07932","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-reinforcement-learning-with-large","title":"Efficient Reinforcement Learning with Large Language Model Priors","date":"2024-10-10","arxiv_id":"2410.07927","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-process-thompson-sampling-via","title":"Gaussian Process Thompson Sampling via Rootfinding","date":"2024-10-10","arxiv_id":"2410.08071","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizable-indoor-human-activity","title":"Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning","date":"2024-10-10","arxiv_id":"2410.07542","repositories_listed":0,"syntology":null},{"url":null,"slug":"mars-situated-inductive-reasoning-in-an-open","title":"Mars: Situated Inductive Reasoning in an Open-World Environment","date":"2024-10-10","arxiv_id":"2410.08126","repositories_listed":0,"syntology":null},{"url":null,"slug":"offline-hierarchical-reinforcement-learning","title":"Offline Hierarchical Reinforcement Learning via Inverse Optimization","date":"2024-10-10","arxiv_id":"2410.07933","repositories_listed":0,"syntology":null},{"url":null,"slug":"offline-inverse-constrained-reinforcement","title":"Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare","date":"2024-10-10","arxiv_id":"2410.07525","repositories_listed":0,"syntology":null},{"url":null,"slug":"b-calibration-of-language-model-confidence","title":"$β$-calibration of Language Model Confidence Scores for Generative QA","date":"2024-10-09","arxiv_id":"2410.06615","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-bias-and-enhancing-diagnostic","title":"Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare","date":"2024-10-09","arxiv_id":"2410.06566","repositories_listed":0,"syntology":null},{"url":null,"slug":"disasterqa-a-benchmark-for-assessing-the","title":"DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response","date":"2024-10-09","arxiv_id":"2410.20707","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-chaotic-lorenz-ode-system-using","title":"Modeling chaotic Lorenz ODE System using Scientific Machine Learning","date":"2024-10-09","arxiv_id":"2410.06452","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-estimators-of-squared-calibration","title":"Optimizing Estimators of Squared Calibration Errors in Classification","date":"2024-10-09","arxiv_id":"2410.07014","repositories_listed":0,"syntology":null},{"url":null,"slug":"reproducing-and-extending-experiments-in","title":"Reproducing and Extending Experiments in Behavioral Strategy with Large Language Models","date":"2024-10-09","arxiv_id":"2410.06932","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-moral-turing-test-evaluating-human-llm","title":"The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making","date":"2024-10-09","arxiv_id":"2410.07304","repositories_listed":0,"syntology":null},{"url":null,"slug":"biased-ai-can-influence-political-decision","title":"Biased AI can Influence Political Decision-Making","date":"2024-10-08","arxiv_id":"2410.06415","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-command-understanding-for","title":"Context-Aware Command Understanding for Tabletop Scenarios","date":"2024-10-08","arxiv_id":"2410.06355","repositories_listed":0,"syntology":null},{"url":null,"slug":"navigating-inflation-in-ghana-how-can-machine","title":"Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies","date":"2024-10-08","arxiv_id":"2410.05630","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-modeling-capabilities-of-large","title":"On the Modeling Capabilities of Large Language Models for Sequential Decision Making","date":"2024-10-08","arxiv_id":"2410.05656","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-an-operational-responsible-ai","title":"Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education","date":"2024-10-08","arxiv_id":"2410.05827","repositories_listed":0,"syntology":null},{"url":null,"slug":"assouad-fano-and-le-cam-with-interaction-a","title":"Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability","date":"2024-10-07","arxiv_id":"2410.05117","repositories_listed":0,"syntology":null},{"url":null,"slug":"better-than-your-teacher-llm-agents-that","title":"Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback","date":"2024-10-07","arxiv_id":"2410.05434","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-visual-measurement","title":"Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning","date":"2024-10-07","arxiv_id":"2410.05403","repositories_listed":0,"syntology":null},{"url":null,"slug":"driving-with-regulation-interpretable","title":"Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM","date":"2024-10-07","arxiv_id":"2410.04759","repositories_listed":0,"syntology":null},{"url":null,"slug":"functional-clustering-of-discount-functions","title":"Functional Clustering of Discount Functions for Behavioral Investor Profiling","date":"2024-10-07","arxiv_id":"2410.16307","repositories_listed":0,"syntology":null},{"url":null,"slug":"reasoningrank-teaching-student-models-to-rank","title":"ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation","date":"2024-10-07","arxiv_id":"2410.05168","repositories_listed":0,"syntology":null},{"url":null,"slug":"restnet-defense-against-adversarial-policies","title":"ResTNet: Defense against Adversarial Policies via Transformer in Computer Go","date":"2024-10-07","arxiv_id":"2410.05347","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-zealous-and-restrained-ai","title":"Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task","date":"2024-10-06","arxiv_id":"2410.11860","repositories_listed":0,"syntology":null},{"url":null,"slug":"2410-16283","title":"Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing","date":"2024-10-05","arxiv_id":"2410.16283","repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-hybrid-graph-neural-networks-to","title":"Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis","date":"2024-10-05","arxiv_id":"2410.04283","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-forecasting-compositional-time-series","title":"Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution","date":"2024-10-05","arxiv_id":"2410.04047","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-explanations-that-anticipate","title":"Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills","date":"2024-10-05","arxiv_id":"2410.04253","repositories_listed":0,"syntology":null},{"url":null,"slug":"preference-optimization-as-probabilistic","title":"Preference Optimization as Probabilistic Inference","date":"2024-10-05","arxiv_id":"2410.04166","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-generative-ai-for-economic","title":"Harnessing Generative AI for Economic Insights","date":"2024-10-04","arxiv_id":"2410.03897","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-fundamental-analysis-for-stock","title":"Leveraging Fundamental Analysis for Stock Trend Prediction for Profit","date":"2024-10-04","arxiv_id":"2410.03913","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimax-optimal-trust-aware-multi-armed","title":"Minimax-optimal trust-aware multi-armed bandits","date":"2024-10-04","arxiv_id":"2410.03651","repositories_listed":0,"syntology":null},{"url":null,"slug":"orassistant-a-custom-rag-based-conversational","title":"ORAssistant: A Custom RAG-based Conversational Assistant for OpenROAD","date":"2024-10-04","arxiv_id":"2410.03845","repositories_listed":0,"syntology":null},{"url":null,"slug":"selu-self-learning-embodied-mllms-in-unknown","title":"SELU: Self-Learning Embodied MLLMs in Unknown Environments","date":"2024-10-04","arxiv_id":"2410.03303","repositories_listed":0,"syntology":null},{"url":"/paper/spatial-aware-decision-making-with-ring","slug":"spatial-aware-decision-making-with-ring","title":"Spatial-aware decision-making with ring attractors in reinforcement learning systems","date":"2024-10-04","arxiv_id":"2410.03119","repositories_listed":0,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/spatial-aware-decision-making-with-ring#ran","syntology_url":"https://syntology.ai/paper/2410.03119","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.03119"}},"official":null}},{"url":null,"slug":"strategic-insights-from-simulation-gaming-of","title":"Strategic Insights from Simulation Gaming of AI Race Dynamics","date":"2024-10-04","arxiv_id":"2410.03092","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-cost-sensitive-decision-making","title":"Towards Cost Sensitive Decision Making","date":"2024-10-04","arxiv_id":"2410.03892","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-prior-learning-discovering","title":"Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos","date":"2024-10-04","arxiv_id":"2410.03858","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-point-of-interest-recommendation","title":"A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security","date":"2024-10-03","arxiv_id":"2410.02191","repositories_listed":0,"syntology":null},{"url":null,"slug":"grounded-answers-for-multi-agent-decision","title":"Grounded Answers for Multi-agent Decision-making Problem through Generative World Model","date":"2024-10-03","arxiv_id":"2410.02664","repositories_listed":0,"syntology":null},{"url":null,"slug":"harm-ratio-a-novel-and-versatile-fairness","title":"Harm Ratio: A Novel and Versatile Fairness Criterion","date":"2024-10-03","arxiv_id":"2410.02977","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-channel-selection-using-feddrl-in-v2x","title":"Joint Channel Selection using FedDRL in V2X","date":"2024-10-03","arxiv_id":"2410.20687","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-evaluating-and-improving-logical","title":"Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models","date":"2024-10-03","arxiv_id":"2410.02205","repositories_listed":0,"syntology":null},{"url":null,"slug":"seal-semantic-augmented-imitation-learning","title":"SEAL: SEmantic-Augmented Imitation Learning via Language Model","date":"2024-10-03","arxiv_id":"2410.02231","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-explainable-ai-for-medical-image","title":"Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks","date":"2024-10-03","arxiv_id":"2410.02331","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-federated-learning-platform-as-a-service","title":"A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers","date":"2024-10-02","arxiv_id":"2410.13869","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-preventive-corrective-scheme-for-ensuring","title":"A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks","date":"2024-10-02","arxiv_id":"2410.01984","repositories_listed":0,"syntology":null},{"url":null,"slug":"bellman-diffusion-generative-modeling-as","title":"Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space","date":"2024-10-02","arxiv_id":"2410.01796","repositories_listed":0,"syntology":null},{"url":null,"slug":"define-enhancing-llm-decision-making-with","title":"DeFine: Enhancing LLM Decision-Making with Factor Profiles and Analogical Reasoning","date":"2024-10-02","arxiv_id":"2410.01772","repositories_listed":0,"syntology":null},{"url":null,"slug":"distilling-analysis-from-generative-models","title":"Distilling Analysis from Generative Models for Investment Decisions","date":"2024-10-02","arxiv_id":"2410.07225","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-portfolio-rebalancing-a-hybrid-new","title":"Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and Pathfinding for Cost Efficiency","date":"2024-10-02","arxiv_id":"2410.01864","repositories_listed":0,"syntology":null}],"record_sha256":"f1aaeb3cc6a2ca5fdc6b23f345fb63e706f31c4a4710f4647a72b30dec12fb87","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}