Reframe aligns visual agents on tool observations during distillation
GD-GRPO and observation-gated multi-teacher distillation beat Mix-RL and vanilla MOPD on 14 benchmarks.
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GD-GRPO and observation-gated multi-teacher distillation beat Mix-RL and vanilla MOPD on 14 benchmarks.

The paper puts frontier models under 50% accuracy; CEO Dai says Glimpse scored 50.48% on one run.
OpenAI calls it a step up from GPT-5.6 Terra for proposals, technical drawings, forms and video editing.
A 200-task probe shows agents read self-made charts as well as numbers but often skip plotting.
On 22 benchmarks, average scores rise 9.7–12.6 points over matched no-tool baselines across eight backbones.
On six visual reasoning benchmarks, VAG beats GRPO and on-policy self-distillation on average.
On 22 benchmarks it lifts matched no-tool baselines by 9.7 to 12.6 points across eight backbones.

Elorian released Glimpse, a research-preview model that revisits images mid-reasoning through a visual scratch space.
Researchers show self-conditioning lets flow-matching models gain deeper visual reasoning from additional sampling steps.
Across 25 vision-language models, game and real scores correlate at 0.935; constraint reasoning rose in one-shot transfer.
Humanity’s Sixth Sense finds GPT-6 Astra at 53.6 pass@1 versus a 93.1 human baseline on intuitive visual reasoning.
ThinkDrag uses visual reasoning so drag-based image edits follow semantic changes, not only geometry.
WOVEN trains multimodal LLMs on visual transitions, lifting 22 of 26 external benchmarks by up to 27.3 points.
Researchers introduce HSS, where humans score 93.1% and GPT-6-astra only 53.6% on intuitive visual reasoning.
Painter-Thinker adds recursive latent reasoning to diffusion, solving 92.5% of hard MNIST Sudoku puzzles.
ProAR makes autoregressive video generation goal-oriented via predicted goal frames, improving visual reasoning using only 25% of standard training steps.
TPAE uses token-level visual-dependency and entropy signals to improve multimodal RL reasoning over sequence-level rewards.
NeuronEye activates query-relevant visual concepts in frozen VLMs, lifting Qwen2.5-VL-7B CV-Bench by 3.1 points.
LoopVL extends loop transformers to vision-language models and beats similarly sized non-recurrent baselines.
ReaLVR adds visual-evidence supervision to latent reasoning, hitting 63.7% on Qwen2.5-VL-7B and scaling to 235B.
SolveEdit benchmarks goal-driven visual edits; SolveEdit-PLAN lifts GPT-Image-2 from 57.0% to 71.6%.

OpenAI's GPT-6 Astra scores 80% on Epoch AI's furniture-assembly benchmark, up from 28% ten months earlier.
ReImaGin uses image generators as flexible visual reasoning tools for multimodal LLMs, beating text-only and specialist baselines.
Researchers introduce CVRR, forcing multimodal models to rely on recurrent latent computation rather than accessible image tokens, validated via causal interventions and benchmarks.
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