Daily Research Brief 2026-08-04

📊 Token usage: estimated from retrieval and writing scale.

Covers the latest AI research, open source and industry moves, updated daily.

Editor’s Note

Papers and capital gave the two halves of the same answer today. This arXiv batch shares one posture: ‘don’t touch model weights, fix the outer ring’ — context assembly treated as a controlled variable, multi-agent topology adapting at inference time, correction triggered only when confidence drops.

1. Latest arXiv Papers

1. Stop Shipping AI Agents on Faith: Capability Is Not Production Readiness — https://arxiv.org/abs/2607.27677

2. Context Assembly as the Controlled Variable: A Control-Theoretic View of Harness Policies for Frozen LLM Agents — https://arxiv.org/abs/2607.25408

3. MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems — https://arxiv.org/abs/2607.28527

4. Long-Horizon Embodied Decision-Making via Multimodal Memory Compression — https://arxiv.org/abs/2608.01456

5. Rethinking CD: A Reproducibility Study and Extension on the Ineffectiveness of Contrastive Decoding at Mitigating Object Hallucinations in MLLMs — https://arxiv.org/abs/2607.25196

6. Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark — https://arxiv.org/abs/2607.27143

7. SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them — https://arxiv.org/abs/2607.27703

8. Albilich: Steerable Proof-State Orchestration for LLM-Based Mathematical Research with CAS Integration — https://arxiv.org/abs/2607.27705