Like AMD, Arm makes the L2 strictly inclusive of the L1 data cache, which lets the L2 act as a snoop filter. If an incoming snoop misses in the L2, the core can be sure it won’t hit in the L1D either.
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Some people adopt this convention: Preface the generated text with a short human blurb that gives some framing and implicitly endorses the summary as accurate. For instance, if an agent generates a blurb starting with # Summary, you might rename it # Agent Summary and add your own note above it to explain e.g. the motivation, key decisions, and any next steps. Conveniently, most agents create PRs in a Draft state, so the edit can be performed as we mark it Ready for Review.