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Update logbook: Repro - LOGDIFF Exact Boolean Guidance
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logbook.json
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"icml2026-repro",
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"paper-OAM1jJsMGp"
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],
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"updated_at": "2026-07-19T18:56:
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"root": {
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"slug": "index",
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"title": "Repro - LOGDIFF Exact Boolean Guidance",
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}
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]
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},
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"agent_view_tokens":
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"revision": "
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}
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"icml2026-repro",
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"paper-OAM1jJsMGp"
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],
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"updated_at": "2026-07-19T18:56:37+00:00",
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"root": {
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"slug": "index",
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"title": "Repro - LOGDIFF Exact Boolean Guidance",
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}
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]
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},
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"agent_view_tokens": 3626,
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"revision": "1784487397121561000"
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}
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pages/claim-5-completeness-certificate/page.md
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# Claim 5 - completeness certificate
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# Claim 5 - completeness certificate
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---
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<!-- trackio-cell
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{"type": "markdown", "id": "cell_350f94a88f97", "created_at": "2026-07-19T18:56:34+00:00", "title": "Exhaustive Proposition C.2 certificate"}
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-->
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Two constructive cases from Proposition C.2 are evaluated against an independent full-joint oracle across 25 posterior settings.
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| Case | Exhausted semantic events | Max probability error | Max score error |
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| --- | ---: | ---: | ---: |
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| Independent categorical groups | 20,650 | 2.22e-16 | 3.33e-16 |
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| Nested or mutually exclusive taxonomy | 6,350 | 2.22e-16 | 2.22e-16 |
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All checks pass. The taxonomy has 15 predicates over 8 leaves, and the fail-closed control rejects an overlapping pair that is neither nested nor mutually exclusive.
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pages/source-scale-cmnist-classifier/page.md
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# Source-scale CMNIST classifier
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# Source-scale CMNIST classifier
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---
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<!-- trackio-cell
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{"type": "markdown", "id": "cell_26911a0d4863", "created_at": "2026-07-19T18:56:36+00:00", "title": "Exact upstream classifier trained on the full source split"}
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-->
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The missing noise-aware CMNIST composition classifier was rebuilt using the pinned author trainer, its 50-epoch configuration, all 60,000 training examples, and the expected epoch=49-step=2950 checkpoint. SHA-256: a77cafc37a7be88eaec5aead5ffe024a995fbf2421d736ff009b3c9dd96d36ba.
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A deterministic audit evaluates all 10,000 test examples at fixed diffusion times.
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| t | Digit accuracy | Colour accuracy |
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| ---: | ---: | ---: |
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| 0 | 97.56 percent | 100.00 percent |
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| 50 | 97.20 percent | 100.00 percent |
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| 100 | 96.38 percent | 99.98 percent |
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| 250 | 83.67 percent | 97.15 percent |
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| 500 | 33.89 percent | 48.82 percent |
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| 750 | 13.09 percent | 15.28 percent |
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| 999 | 10.64 percent | 10.79 percent |
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The decay toward chance at maximum noise is expected and is now measured rather than hidden inside one random-timestep average.
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