# AI Daily Brief - 2026-03-04

> Collected at: 3/4/2026, 11:01:07 PM
> Total items: 113

## 🔥 Top 10 Highlights

1. AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
   http://arxiv.org/abs/2603.03233v1

2. AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
   https://huggingface.co/papers/2602.17100

3. Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models
   https://huggingface.co/papers/2603.01400

4. Speculative Speculative Decoding
   http://arxiv.org/abs/2603.03251v1

5. Conditioned Activation Transport for T2I Safety Steering
   https://huggingface.co/papers/2603.03163

6. Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
   https://huggingface.co/papers/2603.03205

7. InfoPO: Information-Driven Policy Optimization for User-Centric Agents
   https://huggingface.co/papers/2603.00656

8. Qwen3-Coder-Next Technical Report
   https://huggingface.co/papers/2603.00729

9. BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
   https://huggingface.co/papers/2603.03194

10. Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
   https://huggingface.co/papers/2603.03202

## 📂 Categories

### AI Coding Tools / Code Agent

- Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration?
  http://arxiv.org/abs/2603.03202v1
- BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?
  http://arxiv.org/abs/2603.03194v1

### Agent Frameworks

- Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification
  http://arxiv.org/abs/2603.03175v1
- Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
  http://arxiv.org/abs/2603.03205v1
- Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
  http://arxiv.org/abs/2603.02909v1

### AI Infrastructure / Inference Optimization

- Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals
  http://arxiv.org/abs/2603.03242v1
- SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
  http://arxiv.org/abs/2603.03230v1
- Understanding and Mitigating Dataset Corruption in LLM Steering
  http://arxiv.org/abs/2603.03206v1
- Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
  http://arxiv.org/abs/2603.03180v1
- Conditioned Activation Transport for T2I Safety Steering
  http://arxiv.org/abs/2603.03163v1
- Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
  http://arxiv.org/abs/2603.03146v1
- AI Space Physics: Constitutive boundary semantics for open AI institutions
  http://arxiv.org/abs/2603.03119v1
- MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization
  http://arxiv.org/abs/2603.03192v1
- TAO-Attack: Toward Advanced Optimization-Based Jailbreak Attacks for Large Language Models
  http://arxiv.org/abs/2603.03081v1
- Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
  http://arxiv.org/abs/2603.03226v1

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