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docs: resolve OQ-04, remove OQ-07, enrich OQ-03 with rolling windows

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- OQ-04 resolved: thresholds are both model-specific (shipped with
  codebook) and user-overridable. Inspired by platonic representation
  hypothesis — calibrated models converge on similar behavioral patterns.
- OQ-07 removed: Rust port is an alknet project concern, not relevant
  to the Python package architecture. Removed from overview.md Phase 3.
- OQ-03 enriched: rolling window token screening for granular detection
  in documents (PDF→markdown use case, academic paper injection detection).
  Upgraded from low to medium priority.
- OQ-01 updated: likely path is PyTorch first, ONNX export by default.
- OQ-05 updated: needs deep dive into guardrail landscape.
- Updated threshold description in configuration.md with platonic
  representation context.
This commit is contained in:
glm-5.1
2026-06-13 05:47:44 +00:00
parent cf464c2296
commit 11620e8398
5 changed files with 70 additions and 52 deletions
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@@ -55,11 +55,10 @@ See [open-questions.md](open-questions.md) for the full tracker.
|----|----------|----------|--------|
| OQ-01 | Should ONNX Runtime be a supported inference backend in Phase 1? | medium | open |
| OQ-02 | What is the minimum viable codebook — can the 1,245-line codebook be compressed? | high | open |
| OQ-03 | Should the firewall support streaming/chunked input screening? | low | open |
| OQ-04 | Should detection thresholds be per-model or globally configurable? | medium | open |
| OQ-05 | How should the firewall integrate with existing guardrail systems (LlamaFirewall, NeMo)? | medium | open |
| OQ-03 | Should the firewall support streaming/chunked input screening? | medium | open |
| ~~OQ-04~~ | ~~Should detection thresholds be per-model or globally configurable?~~ | ~~medium~~ | **resolved** (both: model-specific defaults, user-overridable) |
| OQ-05 | How should the firewall integrate with existing guardrail systems? | medium | open |
| OQ-06 | Should file-based configuration use TOML or YAML? | low | open |
| OQ-07 | Is a Rust port feasible given current ML framework maturity? | low | open |
## Document Lifecycle