benchmark: AetherArena

kind: genesis

note: Official Spatial-Intelligence Benchmark — append-only signed ledger. Entries are real harness scores only; no seeded numbers.


benchmark: MM-Fi

category: pose

caveat: Protocol-matched MM-Fi random_split result; NOT solved real-world generalization. Random split has temporal/subject-adjacency effects common to this benchmark family. Leakage-free cross-subject is far lower (~11-27%) and is the real deployment frontier.

kind: result

metric: torso-PCK@20 (||right_shoulder-left_hip|| norm, 17 COCO kpts)

modality: wifi-csi

model_ref: RuView CSI-Transformer (4L/8H ~2M params, temporal-attention)

protocol: random_split (ratio=0.8, seed=0)

reproduce: download MM-Fi -> parse_mmfi_zips.py -> train_tf_torso.py X.npy Y.npy split_random.npy (seed 0)

sota_ref: MultiFormer 72.25 (CSI2Pose 68.41)

submitter: ruvnet

tier: Gold