tofu / keto / Rhubarb / Subchunks

These codenames stand for refinement signals that fine-tune the quality estimate at a very granular level: individual subsections (subchunks) of a page. Their exact function is not fully documented in the available material. They are not a standalone main system. They refine chard and NSR at the section level.

The data are internal codenames from the leak material. The exact input data is not fully documented. This is the weakest evidence in the entire matrix.

These are codenames for refinement or delta signals at the subchunk level. Subchunk deltas are changes in the quality estimate between sub-sections. The function is largely conjectured. [B existence, C mechanics]

Expertise and Trust are only indirectly affected, and the rating is deliberately conservative, because evidence for the exact mechanics is lacking. These signals are fine-tuning, not main levers.

No lever of its own. Whoever improves chard and NSR through good content quality automatically improves these derived signals too. Communicate internally: the codenames are documented, but their exact effect remains interpretation. Don't make promises based on speculation.