Remove dead modules, measurement artifacts, and stale references

.pre-commit-config.yaml

@@ -14,9 +14,6 @@ repos:
       - id: check-toml
       - id: check-ast
       - id: check-added-large-files
-        # The semantic audit ledger intentionally retains evidence for every
-        # reviewed scope. Keep the size guard for all other additions.
-        exclude: ^test_audit_decisions\.json$
       - id: check-merge-conflict
       - id: check-shebang-scripts-are-executable
       - id: detect-private-key

README.md

@@ -82,24 +82,15 @@ The default install already includes `xorl-client` from its public repository. T
 pip install -e submodules/xorl-client
 ```
 
-Do not install the xorl-sglang submodule into the default PyTorch 2.12 environment. For a single environment containing XoRL, xorl-client, and xorl-sglang, use the alternate `pyproject.sglang.toml` profile, which pins the compatible PyTorch 2.11/CUDA 13 stack:
+Do not install the xorl-sglang submodule into the default PyTorch 2.12 environment. It pins PyTorch 2.11/CUDA 13 and Triton 3.6.0, so give it an environment separate from the default `.venv`:
 
-**uv:**
-```bash
-cp pyproject.sglang.toml pyproject.toml
-UV_PROJECT_ENVIRONMENT=.venv-sglang uv sync
-source .venv-sglang/bin/activate
-```
-
-**conda:**
 ```bash
 conda create -n xorl-sglang python=3.12
 conda activate xorl-sglang
-cp pyproject.sglang.toml pyproject.toml
-pip install -e . -e "submodules/xorl-sglang/python[all]"
+pip install -e "submodules/xorl-sglang/python[all]"
 ```
 
-> **Note:** Copying the alternate manifest replaces the tracked `pyproject.toml`; `uv sync` also generates the ignored local `uv.lock` for this profile. Do this in a clean checkout, restore `pyproject.toml`, and do not add the generated lock with unrelated changes. The separate `.venv-sglang` keeps this profile isolated from the default `.venv`. The default profile uses PyTorch 2.12.1/CUDA 13.2 and Triton 3.7.1, while the combined profile uses PyTorch 2.11/CUDA 13 and Triton 3.6.0. Both use FlashAttention 4.
+> **Note:** The default profile uses PyTorch 2.12.1/CUDA 13.2 and Triton 3.7.1. Both profiles use FlashAttention 4.
 
 See the [installation guide](https://togethercomputer.github.io/xorl/getting-started/installation/) for full setup including optional dependencies (DeepEP, Flash Attention).
 

TEST_TRIAGE.md

@@ -38,7 +38,7 @@ regression can make it fail. Candidate signals from automation are not evidence
    python scripts/audit_tests.py --format json > /tmp/xorl-test-audit.json
    ```
 
-2. Review one subsystem at a time. Add the decision and evidence to `test_audit_decisions.json` before editing.
+2. Review one subsystem at a time. Record the decision and its evidence in the pull request before editing.
 3. For consolidation, map every removed assertion to its surviving behavioral test.
 4. Compare collection before and after, then run the affected surviving tests.
 5. Keep removal waves reviewable. Do not combine unrelated product changes with test cleanup.