Synchronize current evidence page with locked Q-OPS result

Author: sunshineluyao

current/README.md

@@ -1,111 +1,112 @@
-# Current Active Track
+# Current Evidence Lines
 
-## Status control
+## Read the status labels first
 
-Before interpreting any result, read the canonical [Archived / Active / Planned status checklist](../docs/STATUS_CHECKLIST.md).
+The canonical taxonomy is maintained in [`../docs/STATUS_CHECKLIST.md`](../docs/STATUS_CHECKLIST.md).
 
-| Category | Canonical interpretation |
+| Status | Meaning |
 |---|---|
-| `ARCHIVED` | Completed, negative, null, superseded or design-only work preserved for lessons and meta-learning records |
-| `ACTIVE` | Current reproducible headline evidence, limited to its declared evidence level |
-| `PLANNED` | Preregistered or proposed work; not yet a result family |
+| `ACTIVE` | Current project-wide canonical result family, within its declared evidence level |
+| `LOCKED_EVALUATED` | A frozen held-out protocol has been executed and fully reported, but the evidence may remain below hardware or deployment maturity |
+| `ARCHIVED` | Completed, negative, null, superseded, or design-only work preserved as research memory |
+| `PLANNED` | Future work or an unexecuted protocol |
 
-This directory contains only the **ACTIVE** track. Archived lessons live in [`../trial-and-error/`](../trial-and-error/), while planned experiments are documented in the roadmap and preregistration files.
+This directory now points to two complementary evidence lines:
 
-## Q-GATE Liquidity Sentinel
+1. **Liquidity Sentinel — ACTIVE:** rare-event and tail-risk estimation under a fault-free query model.
+2. **Q-OPS Global C1.2 — LOCKED_EVALUATED:** selective hybrid Human–AI staffing under exact synthetic evaluation and feasible-subspace statevector simulation.
 
-**Status:** `active`  
-**Evidence level:** `simulated-executed`  
-**Canonical result family:** selective hybrid quantum tail-risk estimation for 24/7 stablecoin reserves and tokenized collateral.
+---
 
-<p align="center">
-  <img src="https://raw.githubusercontent.com/sunshineluyao/Q-GATE-Challenge-2026/main/figures/liquidity_sentinel/active_track_dashboard.svg" alt="Active evidence and Atlas dashboard" width="100%">
-</p>
+# 1. Active project-wide line — Liquidity Sentinel
 
-[Open the dashboard directly](https://raw.githubusercontent.com/sunshineluyao/Q-GATE-Challenge-2026/main/figures/liquidity_sentinel/active_track_dashboard.svg)
+**Status:** `ACTIVE`  
+**Evidence level:** `simulated-executed / fault-free query model`
 
-Liquidity Sentinel remains the current active evidence line. The earlier static portfolio-QAOA and Frontier 2.0 studies are preserved as trial-and-error records, while **Q-OPS Global** is the next preregistered experiment rather than an executed result family.
+![Liquidity Sentinel dashboard](../figures/liquidity_sentinel/active_track_dashboard.svg)
 
-## Active success summary
+Liquidity Sentinel studies 24/7 reserve and collateral decisions. Classical screening reduces 256 feasible policies to 16 candidates before an IQAE query model evaluates high-priority tail-risk cases.
 
-The completed result demonstrates a reproducible hybrid workflow in which classical screening reduces the reserve-policy set before a theorem-calibrated IQAE query model evaluates the high-priority tail-risk candidates.
+Supported findings include:
 
-The strongest supported findings are:
-
-- 4,096 exact synthetic stress scenarios and 256 feasible reserve policies;
-- a 16-policy classical shortlist that retains the true best policy;
+- 4,096 exact synthetic stress scenarios;
+- 256 feasible reserve policies;
+- true-best retention by the 16-policy classical shortlist;
 - 200 policy-selection replications;
 - approximately square-root query-error behavior for the classical Monte Carlo families;
-- an approximately inverse-query trend for the theorem-calibrated IQAE model;
-- lower quantum candidate workload for the hybrid screen-plus-QAE policy than for pure QAE over all policies.
-
-The active result is successful because it matches the quantum method to a clearer structural bottleneck: high-precision rare-event estimation. It is not presented as a present-day hardware-speed result.
+- an approximately inverse-query trend for the theorem-calibrated IQAE model.
 
-## Why this track is active
+The evidence does not establish current-QPU wall-clock advantage or end-to-end coherent-oracle feasibility.
 
-Liquidity Sentinel moves the quantum component from a small combinatorial portfolio problem—where strong classical solvers were already near optimal—to a tail-risk estimation task with a clearer theoretical query-complexity separation under an explicit coherent-oracle assumption.
+Canonical assets:
 
-The completed synthetic experiment reports:
-
-- 4,096 exact joint stress scenarios;
-- 256 feasible reserve policies;
-- a 16-policy classical shortlist;
-- 200 policy-selection replications;
-- fitted query-error slopes near `-1/2` for classical Monte Carlo families and near `-1` for the theorem-calibrated IQAE model;
-- exact best-policy retention by the classical screening stage;
-- a hybrid screen-plus-QAE workload smaller than evaluating all candidates quantumly.
+- [results report](../reports/LIQUIDITY_SENTINEL_RESULTS.md)
+- [plan](../docs/LIQUIDITY_SENTINEL_PLAN.md)
+- [assumptions and evidence boundary](../docs/LIQUIDITY_SENTINEL_ASSUMPTIONS.md)
+- [results directory](../results/liquidity_sentinel/)
+- [figures](../figures/liquidity_sentinel/)
+- [Colab](../notebooks/Q_GATE_Liquidity_Sentinel.ipynb)
 
-## Position inside Q-GATE Atlas
+---
 
-The repository now has a clear evidence and roadmap hierarchy:
+# 2. Challenge locked line — Q-OPS Global C1.2
 
-| Layer | Track | Status |
-|---|---|---|
-| Allocation | Q-GATE Frontier | preserved trial-and-error evidence |
-| Risk estimation | Liquidity Sentinel | current active evidence line |
-| Scheduling and dynamic control | Q-OPS Global | next preregistered experiment |
-| Solver adoption and governance | Q-GATE Meta-Router | cross-track roadmap |
+**Status:** `LOCKED_EVALUATED / LOCKED_SUCCESS`  
+**Evidence level:** `exact synthetic evaluation + feasible-subspace statevector simulation`
 
-The relationship is cumulative:
+![Q-OPS locked dashboard](../figures/q_ops_global/c1_2_locked/locked_c12_dashboard.svg)
 
-1. Frontier contributed allocation, constrained optimization, diversity and adoption-policy lessons.
-2. Liquidity Sentinel contributed tail-risk estimation and selective query-budget evidence.
-3. Q-OPS Global will test whether the same task descriptors, evidence gates and adoption logic transfer to digital-nomad, AI-agent and robot scheduling.
-4. The future Meta-Router will learn across all tracks rather than treating industry labels as the prediction target.
+Q-OPS Global extends the staffing use case to Human-only, AI-only, and Human–AI collaboration decisions under service, capacity, review, and correlated-disruption constraints.
 
-- Status checklist: [`../docs/STATUS_CHECKLIST.md`](../docs/STATUS_CHECKLIST.md)
-- Root project blueprint: [`../README.md`](../README.md)
-- Unified roadmap: [`../docs/ROADMAP_NEXT.md`](../docs/ROADMAP_NEXT.md)
-- Atlas roadmap: [`../docs/Q_GATE_ATLAS_ROADMAP.md`](../docs/Q_GATE_ATLAS_ROADMAP.md)
-- Q-OPS Global plan: [`../docs/Q_OPS_GLOBAL_EXPERIMENT.md`](../docs/Q_OPS_GLOBAL_EXPERIMENT.md)
+The held-out evaluation used 32 frozen instances from seeds 101, 211, 307, and 401. Development seeds 11 and 23 were excluded.
 
-## Canonical active-track assets
+| Locked metric | Result |
+|---|---:|
+| Strict feasible-core rate | 93.75% |
+| ALNS win rate | 78.13% |
+| Classical ambiguity activation | 78.13% |
+| Selective quantum adoption | 28.13% |
+| QAOA / uniform optimum-probability ratio | 6.831× |
+| QAOA / uniform first-hit ratio | 0.354× |
+| Final hard violations | 0 |
 
-- Results report: [`../reports/LIQUIDITY_SENTINEL_RESULTS.md`](../reports/LIQUIDITY_SENTINEL_RESULTS.md)
-- Plan: [`../docs/LIQUIDITY_SENTINEL_PLAN.md`](../docs/LIQUIDITY_SENTINEL_PLAN.md)
-- Assumptions and evidence boundary: [`../docs/LIQUIDITY_SENTINEL_ASSUMPTIONS.md`](../docs/LIQUIDITY_SENTINEL_ASSUMPTIONS.md)
-- Literature and novelty: [`../docs/LIQUIDITY_SENTINEL_LITERATURE.md`](../docs/LIQUIDITY_SENTINEL_LITERATURE.md)
-- Results: [`../results/liquidity_sentinel/`](../results/liquidity_sentinel/)
-- Figures: [`../figures/liquidity_sentinel/`](../figures/liquidity_sentinel/)
-- Colab: [`../notebooks/Q_GATE_Liquidity_Sentinel.ipynb`](../notebooks/Q_GATE_Liquidity_Sentinel.ipynb)
+The supported interpretation is a **statevector-level selective hybrid advantage candidate on a frozen synthetic benchmark**. It is not a real-QPU, wall-clock, asymptotic, workplace-safety, or universal quantum-advantage claim.
 
-## Active promotion checklist
+Canonical assets:
 
-The current track remains active while stronger evidence is pursued:
+- [locked report](../reports/Q_OPS_GLOBAL_C1_2_LOCKED.md)
+- [locked protocol](../docs/Q_OPS_GLOBAL_C1_2_LOCKED_PROTOCOL.md)
+- [locked status](../docs/Q_OPS_GLOBAL_C1_2_LOCKED_STATUS.md)
+- [locked configuration](../configs/q_ops_global_c1_2_locked.json)
+- [locked summary](../results/q_ops_global/c1_2_locked/locked_c12_summary.json)
+- [locked per-instance CSV](../results/q_ops_global/c1_2_locked/locked_c12_records.csv)
+- [quantum visual gallery](../figures/q_ops_global/c1_2_locked/)
+- [three-minute demo](../docs/DEMO_3_MINUTE_SCRIPT.md)
+- [challenge scorecard](../docs/CHALLENGE_SCORECARD.md)
 
-- [ ] execute a frozen real-QPU or hardware-aware Sentinel;
-- [ ] account for state-preparation and coherent-oracle construction costs;
-- [ ] compare against additional advanced classical rare-event estimators;
-- [ ] add noise and calibration sensitivity;
-- [ ] evaluate a carefully governed real or institutionally realistic reserve dataset;
-- [ ] preserve the current claim boundary until these gates pass.
+---
 
-## Claim boundary
+# Relationship inside Q-GATE Atlas
 
-The current evidence supports a **fault-free query-complexity and synthetic policy-selection benchmark under an efficiently implementable coherent stress oracle**. It does not establish present-day QPU wall-clock advantage, fault-tolerant resource feasibility, or dominance over every advanced classical rare-event estimator.
+```text
+Frontier QAOA
+allocation lessons and negative-result memory
+        ↓
+Liquidity Sentinel
+rare-event estimation and query-model evidence
+        ↓
+Q-OPS Global
+held-out selective Human–AI scheduling evidence
+        ↓
+Noise / QPU Sentinel and Human–Robot Pilot 2
+        ↓
+Q-GATE Meta-Router
+solver, budget, abstention, and Human Review policy
+```
 
-Q-OPS Global has not yet produced experimental results. Its preregistered schedules and solver policies must pass locked tests, matched classical controls, labor/compliance checks, safety verification and explicit human-review requirements.
+The two current evidence lines are complementary:
 
-## Historical relationship
+- Liquidity Sentinel is the strongest project-wide method–problem alignment for rare-event estimation.
+- Q-OPS is the strongest challenge-facing locked result for selective Human–AI staffing and constrained quantum sampling.
 
-All earlier directions remain available in [`../trial-and-error/`](../trial-and-error/). They are not deleted because negative and null results are part of the meta-learning dataset and the project's durable research memory.
+Neither line currently establishes present-day hardware quantum advantage.