Add alpha-hardening ADRs and issue plan from pre-release audit.

Lock alpha scope, tracker auth, TOPLOC fraud verification, and deferred multi-tracker money-path work; supersede legacy fraud issues with ADR-0018.

Co-authored-by: Cursor <cursoragent@cursor.com>

.scratch/alpha-hardening/issues/06-fraud-toploc-integration.md

@@ -0,0 +1,47 @@
+Status: ready-for-agent
+
+# 06 — FRAUD: TOPLOC integration (teacher-forced audit primitive)
+
+## What to build
+
+Adopt [TOPLOC](https://github.com/PrimeIntellect-ai/toploc) (MIT, `pip install toploc`) for activation fingerprint commit and verify. Replace string-equality validator checks with teacher-forced prefill + TOPLOC tolerance matching.
+
+**Estimated effort:** 2+ sessions — split into subtasks below without separate issue files.
+
+| Subtask | Owner package | Deliverable |
+|---|---|---|
+| Validator audit primitive | `packages/validator/` | Teacher-forced prefill, TOPLOC verify, unit tests with stub tensors |
+| Node runtime commitments | `packages/node/` (if prover-side) | On-demand activation fingerprint generation on audit-selected requests |
+
+**Code refs:**
+
+- `packages/validator/meshnet_validator/__init__.py` — `_run_reference`, `_outputs_match` (~92–148)
+- `packages/validator/README.md` — deterrence math (update for 19× at p=0.05)
+- Research: `.scratch/alpha-hardening/research-verifiable-inference.md` §8 layers 1–2, build-vs-adopt table
+
+Pin one canonical precision/quantization per model preset. Add `toploc` to validator (and node if prover-side) dependencies.
+
+## Test-first
+
+1. Red: validator compares final text strings — fails on cross-GPU honest divergence (document expected).
+2. Green: stub activation tensors + TOPLOC proofs round-trip in unit test.
+3. Integration: reference node teacher-forces tokens; verify accepts honest proof, rejects swapped precision.
+
+## Acceptance criteria
+
+- [ ] `toploc` dependency declared; `build_proofs_*` / `verify_proofs_*` wired
+- [ ] Validator re-runs claimed token sequence as prefill, not free generation
+- [ ] Model preset documents canonical dtype/quantization
+- [ ] README updated: 19× deterrence at 5% audit (research §1.1)
+- [ ] Tests with deterministic stub tensors (no GPU required in CI)
+
+## ADR links
+
+- [ADR-0018](../../docs/adr/0018-fraud-detection-verification-and-reputation.md) §2
+- Research: [research-verifiable-inference.md](../research-verifiable-inference.md) §8, §9 build-vs-adopt
+
+## Blocked by
+
+- `05-a1-a5-persist-strike-ban-reputation.md`
+
+**Prod gate:** do not enable production audit thresholds until `21-honest-noise-calibration-corpus.md` completes (see README Phase 2 note).