diff --git a/docs/benchmarks/2026-07-parakeet-vs-whisper.md b/docs/benchmarks/2026-07-parakeet-vs-whisper.md
index 25481a0..449f3b7 100644
--- a/docs/benchmarks/2026-07-parakeet-vs-whisper.md
+++ b/docs/benchmarks/2026-07-parakeet-vs-whisper.md
@@ -69,6 +69,27 @@ Note the trade visible even here: Whisper punctuates richly; Parakeet's int8 out
 casing but **sparse punctuation** — a real consideration for notes.md readability (see
 integration costs).
 
+## Qualitative pass — real recording (2026-07-16 follow-up)
+
+`bench-corpus/test_wavs/bank_deposits.wav` (62 s real recording, 48 kHz stereo — financial
+disclosure read aloud; downmixed/resampled by the production reader). No reference transcript,
+so transcripts were compared by eye; raw hypotheses in `bench-results/raw-qual-bank-deposits.csv`
+(its WER column is against a placeholder — ignore it).
+
+- **P1 (parakeet t4):** cleanest of the three — zero audible-word errors, and the **best
+  punctuation**, including commas around a parenthetical clause ("…the bank deposit details
+  section, which appears later in this statement, for information…"). The "sparse punctuation"
+  concern from the LibriSpeech sample did **not** reproduce on this longer real clip.
+- **W2 (Vulkan base.en):** near-perfect; one function-word slip ("effective for cash balances
+  *and* your FDIC insured…" — W4 and P1 both hear "*in* your").
+- **W4 (NPU ONNX, shipping default):** worst of the three — "details" → "**D-Tales**" twice,
+  "are SIPC protected" → "**or** SIPC protected", and a segmentation break at the end
+  ("statement period" → "**state. period.**").
+
+One clip, one speaker, clean audio — directionally consistent with the corpus WERs
+(P1 ≥ W2 > W4), and it removes punctuation as an argument against Parakeet. Multi-speaker
+crosstalk remains untested.
+
 ## Pre-registered criteria, evaluated
 
 | Criterion | Result |
@@ -104,17 +125,17 @@ contender remain in the harness as the documented attempt.
 
 **Integration costs before any default flip** (not solved by this bench): timestamped segments
 (sherpa-rs's `transducer` API returns text only; the C API exposes timestamps — small upstream
-PR or direct `-sys` call), punctuation restoration (sparse in Parakeet output; matters for
-notes.md), English-only v2 (v3 is multilingual — the whisper multilingual path must remain for
+PR or direct `-sys` call), punctuation restoration (sparse on short LibriSpeech clips, though
+the real-recording qualitative pass showed *good* punctuation on longer audio — may be a
+non-issue), English-only v2 (v3 is multilingual — the whisper multilingual path must remain for
 non-English), a ~660 MB model download, and the model catalog/dispatch work (same shape as the
 0.7.3 merged-decoder swap).
 
 ## Caveats
 
 - LibriSpeech is clean read speech; WERs are comparative, not absolute product claims. The
-  planned qualitative pass over real meeting audio was skipped because all retained recordings
-  are vault-sealed (by design); to run it, export a meeting bundle from an unlocked session and
-  drop the WAV into `bench-corpus/test_wavs/`.
+  qualitative pass over a real recording was run as a follow-up (section above) — still
+  single-speaker; multi-speaker meeting audio with crosstalk remains untested.
 - int8 quantization slightly penalizes Parakeet vs published fp32 figures — it *still* won by
   85 %; the fp32 bundle exists if a tighter number is ever needed.
 - Single machine, single run per cell (30 files each). Differences here are far larger than