krickert commented on PR #15676:
URL: https://github.com/apache/lucene/pull/15676#issuecomment-3929677080

   Ok..  I've completed the local Pareto sweep (single-shard baseline, 
multi-shard independent, multi-shard collaborative) on the same shard graphs 
with recall/work/latency across efSearch.
   
   Independent fork matches upstream baseline recall exactly, and collaborative 
is generally near-identical on recall with extra pruning at low/mid depths.
   
   At high efSearch, convergence is expected as search approaches exhaustive 
behavior; this is consistent with ANN dynamics and does not invalidate prior 
distributed gains, right?
   
   <img width="2532" height="1187" alt="image" 
src="https://github.com/user-attachments/assets/4df83f44-9e8e-4fc0-b7c1-7a73fdc147e4";
 />
   


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