Papers.Data.Code

The Weekly ML Signal

Selected, not collected.

Weekly edition · Oct 12 – Oct 18 · Issue #9

Verifiable worlds and control

Synthetic control, executable world scoring, and theorem environments.

Top 3 papers

  1. S-Space: Exploring Spatial Workspace in Multimodal Language Models

    It identifies a fixed linear 3D spatial subspace in MLLM hidden states and causally edits it.

    arXivOct 9, 2026
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  2. DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models

    Prompt-aggregated reverse-rollout guidance plus trust-region restoration matches baselines using 12x fewer GPU hours.

    arXivOct 8, 2026
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  3. Player-1: Learning to Play from Synthetic Experience

    Uses synthetic RL across 16 verifiable games to learn transferable computer-use control, boosting MineDojo-300 success from 10.54% to 38.33%.

    arXivOct 14, 2026
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Top 3 repos

  1. NandhaKishorM/vegaml

    Unlike recent typed-decision repos, it adds local multimodal decisions with conformal sets and abstention.

    GitHubOct 9, 2026
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  2. rockmatrix-ai/YANchor

    Unlike most long-context repos, it pairs a recurrent 4B model with O(1) memory and H100 serving that sustains 512 sequences at 12,431 tok/s.

    GitHubOct 7, 2026
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  3. Optima-CityU/OpenArchEvo

    Searches executable PyTorch architecture programs beyond fixed NAS spaces, yielding spiking models with 31.7× lower estimated arithmetic energy.

    GitHubOct 10, 2026
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Top 3 datasets

  1. 2077AIDataFoundation/TouchScale

    Unlike recent egocentric manipulation datasets, it adds synchronized 880-taxel full-hand tactile gloves across 100 released human-demonstration hours.

    Hugging FaceSep 30, 2026
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  2. HelenPeng/ExeWorldBench

    Targets executable Blender world construction, scoring functional correctness instead of visual similarity alone.

    Hugging FaceOct 9, 2026
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  3. FineEnvs/openai-math

    Provides 369 Lean 4 theorem-proving environments with exact-statement binary checking and hidden verified proofs.

    Hugging FaceOct 8, 2026
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The Weekly ML Signal.

Worth your time, not all of your time.

We track new ML work across papers, code, and data, then keep only the pieces worth a closer look. Selected, not collected.

Papers.Data.Code

The Weekly ML Signal

Selected, not collected.

One useful ML email a week: the papers, repos and datasets worth your attention.

Worth your time, not all of your time.