Correct performance claims, remove fabricated persona and self-audit docs

CHANGELOG.md

@@ -41,11 +41,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   - Copyright header validation
 
 - **Distribution & Security**
-  - PyPI wheel building for CUDA 12.1, 12.4, 13.0
-  - SLSA Level 3 attestation workflow
-  - SBOM generation (CycloneDX, SPDX formats)
-  - Sigstore artifact signing
-  - 7-tool security scanning (pip-audit, Bandit, CodeQL, Triton, Semgrep, Gitleaks)
+  - Workflow definitions for PyPI wheel building, SLSA attestation, SBOM
+    generation, Sigstore signing, and security scanning were added but never
+    executed; the package was never published to PyPI
 
 - **Hardware Validation**
   - H100 (SM90) complete validation with Nsight profiling

GPU_CI_STATUS.md

@@ -1,7 +1,7 @@
 # GPU CI/CD Infrastructure
 
 **Last Updated:** November 8, 2025  
-**Status:** Self-Hosted GPU Runners (H100 + A100)
+**Status:** HISTORICAL - the self-hosted GPU runners described below were ephemeral Brev instances that no longer exist. The GPU workflows were removed in the 2026-08 cleanup; no GPU CI runs.
 
 ---
 

KNOWN_LIMITATIONS.md

@@ -1,13 +1,13 @@
 # Known Limitations & Performance Envelope
 
 **Last Updated:** November 8, 2025  
-**Status:** Production-ready with documented constraints
+**Status:** Archived August 2026; constraints below reflect the November 2025 validation
 
 ---
 
 ## Performance Envelope
 
-###  Where RoboCache WINS (10-100× vs CPU)
+### Where RoboCache WINS (3.8-110x vs CPU, config-dependent)
 
 **Workload Profile:**
 - Robotics sensor data (30-200 Hz streams)
@@ -18,9 +18,11 @@
 
 | Config (B×S→T×D) | H100 Latency | PyTorch CPU | Speedup |
 |------------------|--------------|-------------|---------|
-| 8×250→128×128    | 0.184 ms     | ~20 ms      | ~108×   |
-| 32×500→256×256   | 2.605 ms     | ~150 ms     | ~57×    |
-| 64×1000→512×512  | 20.051 ms    | ~1200 ms    | ~60×    |
+| 8×250→128×128    | 0.184 ms     | 20.14 ms    | ~110×   |
+| 32×500→256×256   | 2.605 ms     | 38.39 ms    | ~15×    |
+| 64×1000→512×512  | 20.051 ms    | 75.69 ms    | ~3.8×   |
+
+(P50 values from `robocache/bench/results/benchmark_h100_20251106_172811.csv`.)
 
 **Why We Win:**
 - L1-resident timestamp arrays (99%+ cache hit rate)

PRODUCTION_STATUS.md

@@ -2,7 +2,7 @@
 
 **Date:** November 8, 2025  
 **Version:** 1.0.0  
-**Status:** ✅ **PRODUCTION-READY**
+**Status:** Historical status document (November 2025). See the archive notice in `README.md`; claims below have not been re-validated and several are stale (see notes inline).
 
 ---
 
@@ -51,13 +51,13 @@ This repository meets **NVIDIA expert standards** for GPU-accelerated libraries:
 - Kernel launch timeline validation
 - CPU/GPU synchronization verification
 
-**Location:** `artifacts/ncu_reports/*.ncu-rep` (binary reports)
+**Location:** `artifacts/h100/ncu_reports/` (text captures; binary `.ncu-rep` files were never committed)
 
 ---
 
 ### 4. GitHub Actions - Industry Standards
 
-**Current Status:** ✅ CI passing (last 5 runs successful)
+**Current Status (historical, stale):** CI at the time passed only because every step used `continue-on-error`; the GPU/security workflows listed below never ran and have since been removed. The self-hosted GPU runners no longer exist.
 
 **Workflow Architecture:**
 
@@ -161,7 +161,7 @@ docs/
 - ✅ Clean commit history
 - ✅ Proper `.gitignore` (no build artifacts)
 
-**Internal tracking:** All status files in `docs/internal/` (not in root)
+**Internal tracking:** Historical status files were removed in the 2026-08 cleanup.
 
 ---