3/19/2026
Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning
Adaptive channel pruning technique reduces communication overhead in split learning by selectively transmitting intermediate feature representations.
3/19/2026
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
MR-Search proposes meta-reinforcement learning with self-reflection for agentic search, enabling agents to adapt strategies across episodes and improve in-context exploration.
3/19/2026
Disentangled Representation Learning through Unsupervised Symmetry Group Discovery
Method for embodied agents to autonomously discover symmetry group structure for disentangled representation learning without requiring prior knowledge of group properties.
3/19/2026
Deep learning and the rate of approximation by flows
Theoretical investigation of deep residual networks' approximation capacity in continuous dynamical systems, quantifying minimal time-horizons for diffeomorphism approximation.
3/19/2026
OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning
OMNIFLOW is a multimodal agent combining LLMs with physics-grounded reasoning for scientific tasks involving PDEs, addressing hallucinations through cross-domain generalization.
3/19/2026
PhasorFlow: A Python Library for Unit Circle Based Computing
PhasorFlow: open-source Python library for computing on unit circle using complex phasors and unitary wave interference gates.
3/19/2026
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
QFT: quantization-based approach for full-parameter fine-tuning of large language models with limited computational resources.
3/19/2026
Byte-token Enhanced Language Models for Temporal Point Processes Analysis
Byte-token enhanced language models for temporal point processes analysis to model event sequences with temporal dynamics and textual descriptions.
3/19/2026
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
Method for improving mathematical reasoning in smaller LLMs by integrating arithmetic learning with knowledge distillation and data augmentation.
3/19/2026
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Survey of edge-cloud collaborative computing paradigms for distributed AI deployment, covering model optimization and LLM inference strategies.
3/19/2026
Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
Framework for constraint learning using pruned neural networks as tractable surrogates in optimization problems.
3/19/2026
A quantitative analysis of semantic information in deep representations of text and images
Information Imbalance metric for analyzing semantic information alignment in deep representations across text and image models.
3/19/2026
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
BiomedSQL benchmark for evaluating text-to-SQL systems on biomedical knowledge bases requiring implicit domain reasoning and scientific understanding.
3/19/2026
Code Roulette: How Prompt Variability Affects LLM Code Generation
Study on how prompt variability affects LLM code generation quality and functionality across different user backgrounds and expertise levels.
3/19/2026
ToolRegistry: A Protocol-Agnostic Tool Management Library for Function-Calling LLMs
ToolRegistry: protocol-agnostic tool management library for function-calling LLMs, addressing fragmentation in tool integration.
3/19/2026
Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)
Analysis of GNN generalization error to explain performance variance and benchmark skew in graph neural networks.
3/19/2026
InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
Benchmark study showing large multimodal models fail at inductive physical reasoning beyond training distribution.
3/19/2026
EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing
EdiVal-Agent framework for automated, fine-grained evaluation of multi-turn image editing using object-centric assessment.
3/19/2026
Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
Detection methods for data contamination in RL post-training phase of LLMs, addressing evaluation validity gap.
3/19/2026
CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
CBF-RL integrates Control Barrier Functions into RL training to enforce safety constraints during policy learning.
3/19/2026
Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models
Neighbor GRPO extends Group Relative Policy Optimization to flow matching models with contrastive ODE-based approach for generative model alignment.
3/19/2026
Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure
Knowledge Immunization Framework for selective knowledge erasure from LLMs via representation-aware activation signatures, addressing GDPR and safety.
3/19/2026
Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
Study demonstrating reward-free backdoor attacks on RL agents through compromised simulators.
3/19/2026
PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification
Knowledge distillation framework for fine-grained visual classification using vision-language models with prompt-aware calibration.
3/19/2026
GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler
Learnable Gaussian sampling method for inference-time scaling in latent reasoning models to improve reasoning path generation.
3/19/2026
Ethical Fairness without Demographics in Human-Centered AI
Method for achieving fairness in AI systems without demographic attributes for human-centered applications.
3/19/2026
REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
Method for fine-tuning diffusion policies with reinforcement learning for humanoid robot loco-manipulation tasks.
3/19/2026
ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference
Pruning method for efficient large vision-language model inference by exploiting attention patterns and addressing token redundancy.
3/19/2026
I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
Framework for aggregating noisy heterogeneous evidence in probabilistic reasoning tasks with explicit uncertainty quantification.
3/19/2026
Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
Theoretical framework for aggregating multiple evidence sources in probabilistic prediction with formal guarantees for multi-evidence reasoning.
3/19/2026
k8s multi tenancy: its a cluster f*ck
Kubernetes multi-tenancy challenges with AI agents requiring ephemeral environments. Infrastructure scaling issues.
3/19/2026
The Flawed Ephemeral Software Hypothesis
Analysis arguing software won't become disposable despite AI coding agents, critiquing concepts like 'vibe coding' and ephemeral apps.
3/19/2026
South Korea's SDT opens Quantum-AI data center
South Korea's SDT opens first commercial quantum-AI hybrid data center in Seoul with 20-qubit Kreo quantum computer and Nvidia DGX B200 integration.
3/19/2026
Scheduled: Open-Source Calendly, but AI
Scheduled: Open-source AI agent integrated with Gmail that autonomously reads meeting request emails, checks calendar availability, and drafts proposed times.
3/19/2026
Show HN: ATO – a GUI to see and fix what your LLM agents configured
ATO: GUI control panel managing multiple LLM agents (Claude Code, Codex, OpenClaw, Hermes) with workflow orchestration and MCP integration.
3/19/2026
AI pilot program in LA County courts will help judges craft rulings
LA County courts pilot AI tool (Learned Hand) to summarize legal motions and draft rulings based on judge writing styles.
3/19/2026
The Agentic Organization
Conceptual framework on how AI agents transform organizational structure and decision-making beyond efficiency gains.
3/19/2026
I Handed Off Maintenance of My Chrome Extension to AI
Case study: developer maintaining open-source Chrome extension with AI assistance for bug fixes and feature development.
3/19/2026
OpenAI to acquire Astral
OpenAI acquires Astral, integrating open source Python developer tools (uv, Ruff) into Codex ecosystem to enhance Python development tooling.
3/18/2026
Chainguard Is Now Protecting You from AI Agent Skills Gone Rogue
Chainguard Agent Skills: security solution protecting against malicious AI agent skills with verification and sandboxing for YAML-based agent plugins.
3/18/2026
Fighting Context Drift
Trepan: local-first architectural linter enforcing code intent and preventing architecture drift without cloud data transmission.
3/18/2026
PondDB – Self-hosted agent memory database built on DuckDB
PondDB: open-source DuckDB-based memory database for multi-agent systems enabling SQL querying of agent state and decision history.
3/18/2026
Show HN: A Genetic algorithm that red-teams your copy with 100 LLM personas
Genetic algorithm that uses 100 LLM personas to red-team and improve landing page copy generation, addressing generic AI writing outputs.
3/18/2026
Show HN: Blobsearch – Object storage and DuckDB based Elasticsearch alternative
Blobsearch: DuckDB-based log storage and querying alternative using S3 and Parquet for cost-effective log management.
3/18/2026
Claude Code's poor time awareness
Bug report on Claude Code's poor time-awareness limiting task optimization and efficiency in code completion.
3/18/2026
Show HN: Jira-MCP – Full Jira for AI agents in 3 tools, not 72
MCP tool providing simplified Jira integration for AI agents via 3 composable tools instead of 72 API endpoints.
3/18/2026
Skillfile, the declarative skill manager, now auto-discovers skills in repos
Skillfile: declarative manifest system for managing AI agent skills across Claude, Cursor, Gemini and other platforms with versioning and deployment.
3/18/2026
Business-as-Code with LittleHorse 1.0
LittleHorse 1.0: microservice orchestration engine enabling Business-as-Code approach for distributed process definition.
3/18/2026
Pervaziv AI Code Review GitHub Action
GitHub Action providing AI code review via Pervaziv.
3/18/2026
FastAPI-compatible Python framework with Zig HTTP core; 7x faster
TurboAPI: FastAPI-compatible Python framework with Zig HTTP core, 7x faster with zero-copy responses.