[D] Is there a push toward a “Standard Grammar” for ML architecture diagrams?

Looking through recent CVPR and NeurIPS papers, there seems to be an unofficial consensus on how to represent layers (colors, shapes, etc.), but it still feels very fragmented.

1. Is there a specific design language or ‘standard’ the community prefers to avoid ambiguity?
2. When representing multi-modal or hybrid models, how do you balance visual clarity with technical accuracy?
3. Are there any ‘hidden gems’ in terms of Python libraries that auto-generate clean diagrams directly from PyTorch/JAX code that actually look good enough for publication?

I’ve researched basic tools, but I’m looking for insights from those who regularly publish or present to stakeholders.