model:
  id: dllm-hub/Qwen3-0.6B-diffusion-mdlm-v0.1
  revision: c8d24a3f4adaeef46881b450e1bf7d1005203bd7
  dtype: bfloat16
data:
  family: distributed_chain_lookup
  agents: 2
  hops: [2, 3, 4]
  distractors_per_agent: 2
  train_pairs: 5000
  validation_pairs: 500
  evaluation_pairs: 1000
  counterfactual_receiver_context_fixed: true
channel:
  message_slots: 4
  message_dim: 128
  width: 256
  attention_heads: 4
  receiver_interface: gated_residual_fusion
training:
  steps: 960
  batch_size: 64
  learning_rate: 0.0003
  weight_decay: 0.01
  union_teacher_weight: 0.5
  paired_separation_weight: 0.2
  paired_batch_fraction: 0.25
evaluation:
  batch_size: 128
  bootstrap_replicates: 5000
  primary_output: designated_receiver_agent0
  voting: false