benchmarks: add nonclosed projection image construction - #324
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Bump the agent-workflow-v1 dataset version from 1.1.0 to 1.2.0 to satisfy the suite version-bump planner gate introduced by PR #328. The dataset manifest and task digests are unchanged because the version field lives in suite.toml, not in the generated dataset.toml. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Update the README version sentence from 1.1.0 to 1.2.0 to match the suite.toml version bump. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
…ection task Address #324 review threads on the nonclosed-projection-image workflow task. - Instruction: drop the prescriptive "use an ell2 diagonal-operator graph" directive so the prompt stays strategy-free and states only the counterexample requirements and evidence links. - Verifier: replace literal Oracle-string comparisons with generic validation of any bounded positive diagonal weights whose square-summable limit y and non-square-summable forced preimage x satisfy y_n = w_n x_n, with recomputed partial norms and a structured tail bound proving convergence. The review's alternative (weights 1/n^2, limit 1/n, preimage n) now passes instead of being a false negative. - Evidence: require a result-bound RESULT_JSON marker plus a PROOF_JSON block with a substantive per-obligation argument (boundedness, closedness, range identification, convergence, absent preimage), so a token-only evidence file no longer earns full evidence validity. - Add regressions covering the reference and alternate witnesses, the token-only and missing-obligation evidence attacks, and corrupted witness rejections; refresh the dataset manifest, verifier checksum label, and research manifest digests. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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Summary
Adds a Harbor regression benchmark for constructing and certifying a closed subspace whose orthogonal projection has nonclosed image.
d4e9f8ca877552f4491a9c2d52e0d230c0fca620, test row 201Benchmark design
The task uses
H = ℓ² ⊕ ℓ², the diagonal operatorT(x)_n = x_n/n, its graphM, and projection onto the second summand. A valid submission must provide exact truncation witnesses converging toy_n = 1/n, a quantitative tail bound, and the forced-preimage argument showing thatyis not in the image.The shortcut audit rejects theorem-name citation, finite-prefix-only evidence, and finite-dimensional substitutes. The verifier independently checks canonical rational data, twelve exact prefixes, the convergence bound, divergence of the forced preimage norms, evidence bindings, and the COMPUTED assurance ceiling.
Validation
make harbor-check: 456 passedgit diff --check: passedAssurance boundary
The verifier establishes the frozen sequence construction and its exact finite certificates. It does not claim a proof-assistant-verified theorem about arbitrary Hilbert spaces, so the result remains COMPUTED, not VERIFIED.