{
 "container": "trained_susv_wave_gamma_chunked_v1",
 "payload": "yqi31gold6full",
 "decode_entry": "decode_expert_layer_v3t / decode_expert_v3t (decode.py)",
 "fields": "trellis|su|sv|wave_gamma",
 "susv_mode": "continuous fp16, Wscale absorbed in sv",
 "wave_gamma": {
  "len": "Mb+Nb (transpose-invariant; 160 for 512x2048 pads)",
  "index": "wave_index_map(Mb,Nb) \u2014 LAST wavefront that wrote each tile"
 },
 "op_order": "recons -> fp16 cast -> wave_gamma (before both Hadamards) -> H_n -> *su -> T -> H_m -> *sv -> T -> crop",
 "tlut": {
  "file": "packed/experts/codebook.safetensors",
  "byte_identical_to_prior": true,
  "exact_integer_lattice": false,
  "distinct_levels": [
   -4,
   -3,
   -2,
   -1,
   0,
   0,
   0,
   1,
   2,
   3
  ],
  "n_levels": 10
 },
 "cb_params": {
  "K": 1.5,
  "L": 16,
  "V": 8,
  "tlut_bits": 15,
  "decode_mode": "quantlut_sym",
  "td_x": 16,
  "td_y": 16
 }
}