fix: resolve all 10 confirmed code-review findings (7-angle review, 20/20 verified)

wiflow_std: min_feature_width (default 15) replaces the keypoints->stride
coupling — for_keypoints(17) now provably builds the trained [2,2,2,2]
graph and pools 15->17, matching the validated Python protocol (pinned by
tests); param_count() total on invalid configs; random_mask returns Result
and rejects non-finite/out-of-range ratios; trainer checkpoints switched
to safetensors (.pt VarStore roundtrip broken on Windows torch 2.11).

ieee80211bf: SBP proxy now re-triggers instances and relays reports via
Action::RelaySbpReport -> SensingFrame::SbpReport (clients consume via
their existing path); missed_instances reset on success = consecutive
semantics; SessionTable gains a guarded SBP entry point + unknown-id drop
counter; initiator-role sessions reject inbound setup/SBP requests
(RejectedNotSupported) closing the idle hijack; StartSetup/StartSbp
outside Idle return InvalidStateForCommand; SBP validation unified
through evaluate_setup with a 1:1 SetupStatus->SbpStatus mapping.
events.rs split out to honor the 500-line cap.

calibration/cli: enrollment geometry now actually reaches trained banks —
both production call sites attach .with_geometry; --geometry flag on
train-room and POST /enroll/geometry + train-body geometry on
calibrate-serve give production a recording surface; geometry-free banks
log the ADR-152 §2.1.2 note.

benchmarks: corruption masks committed as ground truth (unregenerable
after in-place cleaning; verified bit-identical regeneration from the
pristine copy) + generate_corruption_masks.py producer; _bench_common.py
dedups the 5x-copied shim/evaluate/seed/remap (post-refactor PCK@20
re-verified equal to the last digit); remote scripts get the mmap patch;
tiny_edge --calib validated multiple-of-64; onnx_bench --help no longer
executes (and overwrote) the export — artifact restored byte-exact.

Workspace: 2,963 tests passed, 0 failed; Python proof PASS.

Co-Authored-By: claude-flow <ruv@ruv.net>

benchmarks/wiflow-std/tiny_edge_bench.py

@@ -38,7 +38,8 @@ machinery on the tiny checkpoint:
 
 Usage:
   PYTHONUTF8=1 .venv/Scripts/python.exe tiny_edge_bench.py \
-      [--data-dir <preprocessed_csi_data>] [--subset 10000] [--calib 500]
+      [--data-dir <preprocessed_csi_data>] [--subset 10000] [--calib 512]
+  (--calib must be a multiple of 64; see step 4 above)
 
 Writes/merges into results/edge_optimization.json under key "tiny_variant".
 """
@@ -211,6 +212,13 @@ def main():
     parser.add_argument("--out", default=os.path.join(RESULTS, "edge_optimization.json"))
     args = parser.parse_args()
 
+    if args.calib % 64 != 0:
+        parser.error(
+            f"--calib must be a multiple of 64 (got {args.calib}): ORT 1.26's "
+            f"histogram calibration collector np.asarray()'s the per-batch "
+            f"maxima and crashes on a ragged final batch (calibration batch "
+            f"size is 64)")
+
     model = load_tiny_model()
     info = describe(model)
     print(f"tiny model: {info['params']:,} params, tcn_groups={info['tcn_groups_per_block']}, "