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Check out the documentation for more information.
M5_S — GDN-only memory-priority sweep on M5 (SimpleMemVLN)
Each top-level folder is one completed navigation model (S1/, S2/, …). The arms change only how M5's
episodic memory ranks old visual K/V rows for its fixed R4/B1200 budget; the priority comes from the
Gated DeltaNet layer feeding each full-attention layer. Everything else matches the M5_E1 reference
(anhdao69/Streaming_VGGT, folder M5_E1), which is the S0 arm and is not repeated here.
Each folder holds the serving files, README.md (arm definition, training summary, loading),
provenance/ (identity, qualification, timing and validation evidence) and SHA256SUMS.json.
Folders are added one at a time as training finishes; earlier folders are never modified.
Code: SimpleMemVLN branch m5_gdn_s_sweep, source dabf4ad085d20512640fe0ba3bda72ad4724dc76.
Training loss is reported per arm; navigation success has not been evaluated in these folders.