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3.2 Routing under a fixed token budget

We evaluate three routing policies against a fixed retrieval budget, holding the encoder frozen throughout. Each policy is scored on recall at k and on the wall-clock cost of a single query.

Performance degrades gracefully as context grows, but only while the router remains selective. Beyond roughly sixty-four thousand tokens the gain from additional context is indistinguishable from noise, and the dominant cost becomes routing, not attention. We therefore treat the budget itself as the object of study rather than as a hyper-parameter to be tuned away.

Note

Notes on this paper3

“Beyond roughly sixty-four thousand tokens the gain from additional context is indistinguishable from noise…”

This is the number our retrieval budget should be sized against. Check it against the long-context eval before we commit to the rewrite.

long-contextretrieval2 linked

“…holding the encoder frozen throughout.”

Frozen encoder makes the ablation cheap but weakens the claim. Worth an afternoon to reproduce.

methodology

Whole-paper note: closest prior art to the routing layer we sketched in March.

Step 01 · Capture

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