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spec(search-with-proof): handoff -- plumbing cleared, open question is demo attack step vs oracle capture [skip ci]
Co-Authored-By: Claude Opus 4.8 <[email protected]>
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Claude Opus 4.8
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# Search-with-proof — handoff (2026-10-06)
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State at handoff, for resuming on the search problem and abstract interpretation.
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## The one open question
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The full chain runs end to end on kube-ax. Every execution layer is cleared. The **first `demonstrated` has not
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happened yet**, and the remaining gap is narrow and reproducible at **$0 model cost** via `demo_replay`.
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No-model replay of pilot pair 6 (path / Node / npm build), both sides, image `aa54880`:
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- Both sides **build, start, and run** (ready ~18–20 s, "fresh task run completed", no `could_not_run`).
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- Oracle observed **no effect on either side** → `inconclusive`, "no consistent differential".
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Both-sides-false means it is **not the harness** any more. It is one of:
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1. The demo's attack step as written does not trigger the effect even on the vulnerable revision, or
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2. The oracle does not capture the app's output where the effect would show.
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## How to close it (no model spend)
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- Control: the **probe path app** (`src/openultrasast/search/probe_apps/`) is known-good and *does* observe through the
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same verifier code path. Diff its behaviour against the real app: how the served directory is wired
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(`${served_root}` substitution in `start.arguments`), and where the oracle reads the nonce from (app stdout/response
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capture in `oracles.py` `PathOracle.observe`).
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- Re-run with `python -m benchmarks.search.demo_replay --both --demo <stored demo.json> --family path --lane ax
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--image <digest> ...`. Stored demos live under `benchmarks/search/private/runs/*/<pair>/demo/demo.json` (gitignored).
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- **Classifier note:** keep exploit payloads on disk. Hand Codex file-path tasks that treat demo contents as opaque;
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print outcomes / phase timings / error *classes*, never request strings, env values, or step bodies. See memory
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`search-with-proof-direction` and the classifier false-positive note. Code changes never tripped it; echoing
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payloads or step-by-step attack prose did.
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## What is done and merged (main)
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- Trust-domain split: model key on the VM only; executor and verifier tasks carry no secrets; exchange via presigned
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objects. Declarative demos (data, not agent code). gVisor is the cluster boundary.
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- Verifier + 5 oracles pass inside a gVisor task (probe: 5/5 demonstrated, gaming demos inconclusive).
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- Shared task base image, code-last layers; `plane/task-base.digest` pins it; `engine-image.yml` builds only on
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dispatch / tags / Dockerfile / pin changes. Measured unpacked: search 2.07 GB, engine 3.61 GB.
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- Pilot driver (`benchmarks/search/pilot_run.py`), budgets with reservation, named exhaustion limits, `demo_replay`.
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- Per-host egress live: exec → any 443; verify/probe/pass → files host; replay → files + github. Task names carry
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the right prefixes.
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## Plumbing defects fixed along the way (each cost one run)
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step allowance → family-vs-oracle mapping → build memory (256 MB SIGTRAP) → manifest path appended positionally →
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startup env + data files → dead-end intent dedupe → archive size (edge ~100 MB, now split+gzip) → two-interpreter
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image (pip 3.13 vs venv 3.12 → use `sys.executable`) → checkout root on sys.path → `node_modules` path.
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## Next, once a demo demonstrates
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1. Fan out the pilot across all 20 pairs, both sides (feasibility: demonstrated rate per family, zero false proofs on
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fixed sides). Exit: ≥1 family with ≥5 demonstrations and zero false proofs (Req 6.2).
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2. BLOCK qualification per family: 0 false proofs over ≥73 negatives from ≥73 repos (Req 6.3).
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3. G1 arm on the unseen pool vs the triage/decision arms at equal false-alarm budgets (Req 6.5).
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## Cluster / spend facts
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- kube-ax: **2 tasks in flight, one per worker** (operator `--max-actors=1`). Dispatcher caps AX concurrency at 2;
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raise it only when the operator raises worker count. "no free workers available" = retry, not failure.
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- `/workspace` ~3 GiB free per node until the volume move; scratch guard 2 GiB/task.
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- Pilot spend to date ~$11 across 9 paid runs; the decisive replay was $0.
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## Decision model vs search — current read
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- Decision/classification: measured, **promising as triage** (within-pair AUC 0.762; trained logistic ties at 0.721),
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**capped as a blocker** (cannot prove 95% precision). Reframed as triage (`learned-decision-engine` Req 6.5).
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- Search-with-proof: **not yet demonstrated**, but no observation so far argues against the idea — every failure was
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our execution, now cleared. The pair-6 demo/oracle question is the first verdict on the method itself.
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