3/9/2026
Show HN: CiderStack – Run macOS CI runners on your own Mac mini cluster
CiderStack orchestrates macOS CI/CD infrastructure via GitHub Actions runners on Mac clusters. Single binary with web UI, SQLite backend.
3/9/2026
MARL: Runtime Middleware That Reduces LLM Hallucination Without Fine-Tuning
MARL middleware reduces LLM hallucination via multi-agent self-verification without fine-tuning or RAG. Model-agnostic runtime approach.
3/9/2026
My little SaaS made $239 in 7 days (Story)
Personal SaaS launch story about a Chrome extension for screen recording animations. No AI/ML/developer tool relevance.
3/9/2026
Show HN: Botais (Battle of the AI's) – Competitive Snake Game for LLMs
Competitive multiplayer snake game where frontier LLMs compete autonomously. Demonstrates LLM agent behavior and decision-making capabilities.
3/9/2026
Causal Interpretation of Neural Network Computations with Contribution Decomposition
Introduces CODEC, sparse autoencoder method for causal interpretation of neural network computations via contribution decomposition.
3/9/2026
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
Presents AllScAIP, attention-based machine learning interatomic potential using all-to-all node attention for long-range interactions.
3/9/2026
A mixed-frequency approach for exchange rates predictions
Proposes mixed-frequency statistical approach for exchange rate prediction addressing Meese-Rogoff puzzle.
3/9/2026
Information-Theoretic Privacy Control for Sequential Multi-Agent LLM Systems
Studies privacy preservation in sequential multi-agent LLM systems through information-theoretic controls against inference attacks.
3/9/2026
RoboLayout: Differentiable 3D Scene Generation for Embodied Agents
Introduces RoboLayout for generating differentiable 3D scene layouts from language instructions feasible for embodied agent interaction.
3/9/2026
Attention Meets Reachability: Structural Equivalence and Efficiency in Grammar-Constrained LLM Decoding
Analyzes grammar-constrained LLM decoding as coupling between autoregressive distribution and reachability oracle over context-free grammars.
3/9/2026
Learning Optimal Distributionally Robust Individualized Treatment Rules Integrating Multi-Source Data
Proposes distributionally robust individualized treatment rule estimator integrating multi-source data with posterior shift handling.
3/9/2026
Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
ML pipeline analyzing bulk and single-cell transcriptomics data for understanding Multiple Sclerosis molecular mechanisms.
3/9/2026
Prediction-Powered Conditional Inference
Develops prediction-powered conditional inference method combining localization and prediction-based variance reduction for scarce labeled data.
3/9/2026
Koopman Regularized Deep Speech Disentanglement for Speaker Verification
Introduces Koopman operator regularization for disentangling speaker identity from linguistic content in speech verification.
3/9/2026
From Decoupled to Coupled: Robustness Verification for Learning-based Keypoint Detection with Joint Specifications
Proposes formal robustness verification framework for neural keypoint detectors against adversarial perturbations.
3/9/2026
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
Develops decomposed linear dynamical systems model to separate behavior-related and internal neural computations in brain recordings.
3/9/2026
RACAS: Controlling Diverse Robots With a Single Agentic System
Presents RACAS, an agentic system for controlling diverse robotic platforms with unified API and autonomous behavior pipeline.
3/9/2026
Making Reconstruction FID Predictive of Diffusion Generation FID
Introduces interpolated FID metric to improve correlation between VAE reconstruction and diffusion model generation quality.
3/9/2026
When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On
Proposes error enumeration as reward signal for RL post-training in reference-free settings without ideal answer references.
3/9/2026
Parallelization Strategies for Dense LLM Deployment: Navigating Through Application-Specific Tradeoffs and Bottlenecks
Comprehensive analysis of parallelization strategies for dense LLM deployment, evaluating tradeoffs between tensor/pipeline/sequence parallelism.
3/9/2026
Random Dot Product Graphs as Dynamical Systems: Limitations and Opportunities
Theoretical analysis of temporal network learning in Random Dot Product Graphs, identifying fundamental mathematical obstructions.
3/9/2026
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
Analysis of global inequality in AI adoption for weather and climate systems, examining computational and data infrastructure asymmetries.
3/9/2026
Full Dynamic Range Sky-Modelling For Image Based Lighting
Deep learning approach for sky modeling to generate environment maps for image-based lighting in graphics applications.
3/9/2026
Knowing without Acting: The Disentangled Geometry of Safety Mechanisms in Large Language Models
Mechanistic analysis of LLM safety mechanisms revealing decoupling between harmfulness recognition and refusal via disentangled geometry.
3/9/2026
The Coordination Gap: Alternation Metrics for Temporal Dynamics in Multi-Agent Battle of the Exes
Temporal metrics characterizing multi-agent coordination dynamics in game-theoretic settings using Markov games.
3/9/2026
Margin and Consistency Supervision for Calibrated and Robust Vision Models
Regularization framework for vision models improving calibration and robustness to distribution shifts using margin and consistency penalties.
3/9/2026
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
LLMs trained via RL to self-reflect and correct generated code without external oracles, improving complex algorithmic task performance.
3/9/2026
ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
Improved one-shot LLM pruning using optimal weight reordering instead of predefined order, advancing SparseGPT methodology.
3/9/2026
Mitigating Bias in Concept Bottleneck Models for Fair and Interpretable Image Classification
Concept Bottleneck Models enhanced for fairness in image classification by preventing information leakage of sensitive attributes.
3/9/2026
Addressing the Ecological Fallacy in Larger LMs with Human Context
Addresses ecological fallacy in language models by incorporating author context through specialized LM pretraining tasks.
3/9/2026
Implicit Style Conditioning: A Structured Style-Rewrite Framework for Low-Resource Character Modeling
Framework for fine-tuning small language models with stylized personas using structured style-rewriting to improve character consistency.
3/9/2026
Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
Interpretable models using LLMs to predict mental health and well-being from longitudinal social media data by integrating psychological traits.
3/9/2026
TADPO: Reinforcement Learning Goes Off-road
Reinforcement learning approach for off-road autonomous driving handling unmapped terrain, variable dynamics, and long-horizon planning.
3/9/2026
TempoSyncDiff: Distilled Temporally-Consistent Diffusion for Low-Latency Audio-Driven Talking Head Generation
Latent diffusion framework for low-latency audio-driven talking head generation with temporal consistency and improved alignment.
3/9/2026
Diffusion Language Models Are Natively Length-Aware
Diffusion Language Models adapt generation length dynamically, reducing computational waste on short responses in reasoning tasks.
3/9/2026
Efficient Vector Search in the Wild: One Model for Multi-K Queries
Method for efficient vector search that generalizes across multiple K values in top-K retrieval without retraining, improving serving performance.
3/9/2026
Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning
Two-stage framework for learning similarity metrics between writing systems using contrastive and self-supervised learning on grapheme data.
3/9/2026
Random Quadratic Form on a Sphere: Synchronization by Common Noise
Theoretical analysis of random quadratic forms on spheres exhibiting synchronization behavior via common noise coupling.
3/9/2026
Robust support vector model based on bounded asymmetric elastic net loss for binary classification
Novel bounded asymmetric elastic net loss function combined with SVM for handling noise in binary classification tasks.
3/9/2026
Looking Through Glass Box
Neural implementation of fuzzy cognitive maps using Langevin dynamics for learning causality patterns from multiple FCMs.
3/9/2026
Learning Where the Physics Is: Probabilistic Adaptive Sampling for Stiff PDEs
Adaptive sampling method using Gaussian Mixture Models to improve Physics-Informed Neural Networks training on stiff PDEs.
3/9/2026
3D CBCT Artefact Removal Using Perpendicular Score-Based Diffusion Models
Score-based diffusion model approach for removing metal artefacts in 3D cone-beam CT images from dental implants.
3/9/2026
SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
Framework for monitoring and preventing alignment drift in recursive self-improvement systems using multi-signal detection and constraint preservation.
3/9/2026
AI End-to-End Radiation Treatment Planning Under One Second
End-to-end deep learning framework generating radiation therapy treatment plans in under one second.
3/9/2026
MoEless: Efficient MoE LLM Serving via Serverless Computing
Serverless deployment system for efficient serving of Mixture-of-Experts LLMs by optimizing sparse activation patterns.
3/9/2026
Dynamic Chunking Diffusion Transformer
Diffusion Transformer variant with dynamic token chunking that adapts compute allocation based on image content detail and denoising stages.
3/9/2026
Kinetic-based regularization: Learning spatial derivatives and PDE applications
Kinetic-based regularization extension for learning spatial derivatives from noisy data with provable accuracy for PDE applications.
3/9/2026
Talk Freely, Execute Strictly: Schema-Gated Agentic AI for Flexible and Reproducible Scientific Workflows
Framework enabling LLMs to execute scientific workflows with schema-gated constraints ensuring determinism, provenance, and governance.
3/9/2026
Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
RL-based method for retrieving diverse, property-aligned result sets using diffusion models for set-valued retrieval objectives.
3/9/2026
U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approach
Dataset and neural network approach for radiomap prediction in 6G wireless systems with extra-large MIMO arrays.