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.
What it measures
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 but refine chard and NSR at the section level.
Derived from
Internal codenames from the leak material; the exact input data is not fully documented. The weakest evidence in the entire matrix.
Metric detail
Codenames for refinement/delta signals at the subchunk level; subchunk deltas = changes in the quality estimate between sub-sections. Function largely conjectured. [B existence, C mechanics]
Why this attribution
Expertise and Trust are indirect and deliberately rated conservatively because evidence for the exact mechanics is lacking. These signals are fine-tuning, not main levers.
Strategic consequence
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.