/07
Reading
The papers behind the work, by field and theme. Tags mark how each one fed the build.
- core directly used
- gate blocking decision
- context background
- out of scope read, not used
Vision-language-action & robot learning
The papers I read building VLA-DSS, an efficient RGB-only robot policy.
// the project VLA-DSSSurveys & what matters
- context
- context
- context
VLA models
- core
- out of scope
- gate
- VLA-R1: Enhancing Reasoning in Vision-Language-Action Modelsout of scope
- context
- context
- context
- context
- context
Flow-matching & action heads
- core
- core
- core
- core
- core
- core
- core
Datasets
- core
- core
Methods & backbones
- core
- core
- core
- core
- Invariant Scattering Convolution Networks (Wavelet Scattering)core
- DINOv3: self-supervised vision backbonecore
- SmolVLA: a small VLA baselinecontext
Benchmarks
- core
- context
30 papers, one field so far. Write-ups live in the paper notes.