Add Ego4D local AV ablation workflow

README.md

@@ -284,6 +284,16 @@ transition prevalence is 11.21718%, while transition AP is approximately
 over R1 by only 0.01162 points and transition AP by 0.16660 points. Seed 2 is
 still required before freezing this as a complete null ablation.
 
+## Ego4D local-feature ablation family
+
+To test whether the recent-audio / per-person-visual gains transfer from EasyCom,
+see [the Ego4D local-feature experiment guide](docs/ego4d_local_baselines.md).
+It reuses existing global Omni features and the EgoSpeak manifest, extracts local
+A/V directly from raw clips, and runs **G / G+A / G+V / G+A+V** for four epochs,
+without a dev set. `run_ego4d_local_baselines.py` preflights all train/test files
+and encoder contracts before training; the summary reports matched-seed deltas,
+including AV minus audio. No new accuracy claim is implied by adding the code.
+
 ## Current Ego4D context-length results
 
 The following single-seed snapshot was recorded on 2026-08-22. Both variants