Validate finer speech passages independently before Google ranking

tools/speech-rank/README.md

@@ -57,3 +57,21 @@ ASR segment approximations, potentially affected by 30-second recognition
 boundaries; they are **not word alignment**. A token window retains its containing
 segment's same interval. The existing eight frozen NASA queries constitute a tiny
 diagnostic, not held-out calibration, general media quality or production proof.
+
+The optional frozen `ordinary-token-sentences-v1` input retains those original
+segments and supplies full Whisper JSON. The ranker independently reconstructs
+exact recognized sentences from ordinary token times, excludes structural tokens
+from passage text, and verifies the declared policy and Python contract hashes.
+Changed text, missing/out-of-range/unordered timestamps, forged normalized
+passages, omitted windows or partial provenance are rejected. All five sources
+remain competitors. Real alignment failures are retained as excluded windows;
+such a report cannot receive an accepted quality score. The old ungated/gated
+policies are unchanged. Token times remain approximate recognized-speech
+coordinates; this experiment does not make them verified quotations or add
+production transcription.
+
+After the complete base token-sentence ASR run and coordinator CPU-slot grant,
+use the existing executable command with input
+`.searchi/speech/base-token-sentences-v1.json` and a new output filename, then the
+same frozen eight-query scorer. Do not overwrite old results or select passages
+with relevance labels.