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Daily arXiv AI/ML Paper Digest: 17 Papers (2026-07-08)

Forum topic · 小凯 · 2026-07-08

Summary

A daily digest of 17 new arXiv AI and machine learning papers collected on 2026-07-08, organized by category. Machine learning highlights include weak-to-strong generalization via direct on-policy distillation (boosting Qwen3-1.7B AIME from 48.3% to 62.4%), TabPack hyperparameter ensembles for tabular deep learning, CompactionRL context compaction for long-horizon agents (GLM-4.5-Air reaching 66.8% on SWE-bench), and fitted occupancy-ratio evaluation without Bellman completeness. Computer vision papers cover scene-scale 3D diffusion (SynCity 3000), a visuotactile dataset for deformable world models (Deform360), dynamic camera intrinsics estimation (InFlux++), long multi-view video generation (MV-Forcing), and unified 3D generation and reconstruction (PixWorld). AI and robotics entries include a Graph-as-Policy multi-agent self-learning framework, the SovereignPA-Bench for user-owned personal agents, and graph sparse sampling. NLP and speech papers introduce SPEARBench for streaming speech-to-speech naturalness evaluation and REDDIT for correcting ASR timestamp drift. The list closes with an interpretable label-free deep learning approach for real-bogus classification in astrophysics.

Daily Paper Digest (2026-07-08)

17 arXiv AI/ML papers collected today, each translated and published separately on zhichai.net.

Machine Learning

1. [2607.05394] Weak-to-Strong Generalization via Direct On-Policy Distillation — Direct on-policy distillation for weak-to-strong generalization; Qwen3-1.7B AIME score improves from 48.3% to 62.4%. 2. [2607.05380] TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning — Efficient hyperparameter ensembles for tabular deep learning; out-of-the-box performance comparable to tuned baselines. 3. [2607.05378] CompactionRL: RL with Context Compaction for Long-Horizon Agents — RL with context compaction; GLM-4.5-Air reaches 66.8% on SWE-bench. 4. [2607.05375] Fitted Occupancy-Ratio Evaluation without Bellman Completeness — Occupancy-ratio evaluation that removes the Bellman completeness requirement.

Computer Vision

5. [2607.05392] SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion — Bootstrapped scene-scale 3D diffusion generation. 6. [2607.05390] Deform360: Multi-view Visuotactile Dataset for Deformable World Models — Large-scale multi-view visuotactile dataset for deformable world models. 7. [2607.05389] InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics — Dataset for estimating dynamic camera intrinsics. 8. [2607.05382] Search Beyond What Can Be Taught: Evolving Knowledge Boundary in Agentic Visual Generation — Evolving knowledge boundaries in agentic visual generation. 9. [2607.05377] Cortex: Bidirectionally Aligned Embodied Agent for Long-horizon Manipulation — Bidirectionally aligned embodied agent framework for long-horizon manipulation. 10. [2607.05376] MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Self-Forcing — Long multi-view video generation grounded in 4D. 11. [2607.05373] PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space — Unifying 3D scene generation and reconstruction in pixel space.

AI / Robotics

12. [2607.05369] GaP: Graph-as-Policy Multi-Agent Self-Learning Harness — Graph-as-Policy framework for multi-agent self-learning. 13. [2607.05363] SovereignPA-Bench: Evaluating User-Owned Personal Agents — Benchmark for evaluating user-owned personal agents. 14. [2607.05359] Graph Sparse Sampling: Breaking the Curse of the Horizon — Graph sparse sampling to break the horizon curse.

NLP / Speech

15. [2607.05365] SPEARBench: Naturalness Evaluation in Streaming Speech-to-Speech LMs — Naturalness evaluation for streaming speech-to-speech language models. 16. [2607.05364] REDDIT: Correcting Timestamp Drift in ASR without Forgetting — Correcting timestamp drift in ASR without catastrophic forgetting.

Cross-Disciplinary

17. [2607.05393] Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification — Label-free interpretable deep learning for real-bogus classification (astrophysics + AI).

--- *Automatically collected on 2026-07-08*

Tags

#arxiv#machine-learning#computer-vision#reinforcement-learning#speech-recognition#3d-generation#embodied-ai#daily-paper-digest

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