It is a depth-32 reduced Block AttnRes architecture ablation. It is not a Kimi-K3 checkpoint forward pass and does not claim to recover unpublished Figure 5 telemetry.

Frozen environment

Python /home/wuyang/.pyenv/versions/3.10.14/envs/navi-router-cu128/bin/python
PyTorch 2.11.0+cu128
GPU NVIDIA GeForce RTX 5090
CUBLAS_WORKSPACE_CONFIG=:4096:8
maximum concurrency 2

Pre-result gates

The checked-in gate artifacts must pass before formal output:

CUBLAS_WORKSPACE_CONFIG=:4096:8 \
/home/wuyang/.pyenv/versions/3.10.14/envs/navi-router-cu128/bin/python \
  experiments/k3/attnres_forward/verify.py step-zero \
  --cache-dir /home/wuyang/.cache/llm-atlas/k3-attnres-gradient-scale-v1 \
  --parent-manifest experiments/k3/attnres_gradient/manifest.json \
  --study-manifest experiments/k3/attnres_forward/manifest.json \
  --output experiments/k3/attnres_forward/results/gates/step-zero.json

learned_reference is smoke-only. Its 20-step result is compared with a fresh parent Round 05 smoke using verify.py smoke-compare.

Formal matrix

/home/wuyang/.pyenv/versions/3.10.14/envs/navi-router-cu128/bin/python \
  experiments/k3/attnres_forward/run_matrix.py \
  --python /home/wuyang/.pyenv/versions/3.10.14/envs/navi-router-cu128/bin/python \
  --cache-dir /home/wuyang/.cache/llm-atlas/k3-attnres-gradient-scale-v1 \
  --parent-manifest experiments/k3/attnres_gradient/manifest.json \
  --study-manifest experiments/k3/attnres_forward/manifest.json \
  --output-dir experiments/k3/attnres_forward/results/raw \
  --phase all \
  --concurrency 2

This runs 12 formal cells and one full replay. The analyzer reads all cells, the frozen historical paired references, and generates the only authoritative status, interaction map, and website compact artifact.