Held-out public evidence

Bounded Learned Reranker

A 41-feature linear model trained from pinned public traces, embedded in the binary with a deterministic fallback.

nDCG@10

+7.74%

0.2476 -> 0.2668

MRR@10

+10.12%

0.2009 -> 0.2212

Acceptance

PASS

Quality, per-task loss, and latency gates.

Per-task quality

TaskDeterministic nDCGLearned nDCGnDCG deltaMRR delta
codetrans-dl0.23800.2785+0.0404+0.0359
codetrans-contest0.40080.3937-0.0070-0.0033
cosqa0.15210.1637+0.0116+0.0137
codefeedback-st0.40770.4769+0.0692+0.0725

Latency and portability

Warm p50 delta: +15.04 ms. Warm p95 delta: -54.42 ms. Set IVYGREP_RERANKER=deterministic to retain the zero-model fallback.

Identity

Commit 76a404ec051cc9009433fe0ed021f51774b104ee
Binary 92f91629fa9a5dbad4f9f540e35703e27cc188776a763c7818cc06ee7b619a61
Model public-linear-reranker-v2