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Conditional kappa 0.001590591090759927: observable pruning, Steinberg cancellation and response-owner composition - #548
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…eleton, c 0.001733052823 Stacks #545's punctured-star unit (DreamingOfClouds) on #543's R420 L3 skeleton: nine E8 lines (P = 10, 15, 51, 53, 56, 66, 72, 89, 111) are neither sources nor targets, and the nine retained totals are pseudo-targets at frame rank 7 (decoder constant 63). Because L3 delivers the Q-part in phase B, each pseudo-target gets it through a free keeper rewritten in a phase-A mini-node at the complementary block frame (with extra carriers for missing lines); R = 439, v = 111. Priced by #510's nine-stage chain, parameterised for v <= 120 (code/adapt9p.py): c = 1733052823330162099157/10^24, +4.79% over #543's word; by #493's eleven-stage chain as parameterised by #545's adapt.py: c = 0.001710608806098012673516. Every cited complex supplier binds: kappa = 0.001590984155135328 with #548's b. Controls reproduce #510's R480 outputs byte for byte through the parameterised files, and #545's c and program hash through #545's files. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Thank you @Dugongue. This contribution at Pruning changes the selected response implementation; actual scalar and frame replay is required, not a subtraction from the predecessor histogram. Fresh native replay passed. Preserved implementation and research: The family review and individual disposition record the scope, evidence and attribution. Parallel and intermediate contributions remain credited even where a later composition has a stronger bound. The published multiplication bound remains conditional on the documented compiler, realization, hosting and analytic assumptions; these finite checks are not a full Lean multiplication proof. |
… nine-stage c 0.001733427039589844234749 Hoist one summand of a D4 mini-node gate to its rank-1 frame and sink another to the rank-7 pseudo-total frame (tune/moves.json, tune/apply.py), found by running the mechanisms of PR #541, #542 and #548 as generic searches on PR #555's word. Nine-stage c +0.0216% (eleven-stage 0.001710951900777583975622, +0.0201%); kappa unchanged (complex-bound). tune/verify.sh replays the stacked word through PR #555's chains; PR #555's verify.sh is unchanged. MANIFEST.sha256 lists tune/. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Result and scope
This adds
research/pruned-trace-response, a reproducible finite witness for conditional kappa = 0.001590591090759927 (1590591090759927 / 10^18).It improves PR539's 0.001584931113695072 by 0.35711187%, and the previous local preload60 result by 0.21286603%. The snapshot is frozen through PR540. These comparisons concern this retained conditional framework; this is not an unconditional multiplication theorem, a new all-size compiler proof, or a claim against later or differently conditioned proposals.
Both changed suppliers are reconstructed and physically checked. Their exact savings are:
The bit side binds. Gains are not summed: both complete paid profiles are fed through two rational moment engines and the 47-constraint outer assembly.
Mechanism of the improvement
i+=j; i+=k; j+=kbyj+=k; i+=jafter certifying the intervening commutations. Relative to preload60, the exact histogram delta is17(e1-e3-e4+e6) + 10(e2-2e1), a strict concavity gain. The final local histogram is{1:1257,2:1330,3:43,4:163,6:137,8:9}.Two OpenAI structures per worker
The package contains sufficient mathematical arguments, concrete witnesses and source-file hashes for all eight applications:
These are applications of source structures from openai/math, not claims that the underlying identities are globally new. The sources were inspected and hashed; no new Lean certificate is asserted. PR534's numerical frame improvement is explicitly credited to PR534 rather than relabelled as an OpenAI-derived gain.
Bounded failures are retained: compensated moves on the unpruned bit word, the full-rank copy-factor screen, neutral/blocked response packets, and the earlier weaker owner-exchange witness. The final construction shows why the pruning and transport order matters; the notes do not call exhausted restricted searches impossibility proofs.
Validation and replay
Run:
Requirements: Python3.11+ with NumPy, a C++17 compiler and genuine Boost multiprecision headers. No network, Lean, optimizer or GPU is required. Use a fresh output directory outside the submitted package and keep Python assertions enabled.
The replay reconstructs both suppliers from pinned primitive inputs, then runs native local, complete physical controller, finite invoice and exact assembly checks. It covers all constructor columns, 960/1440 native bit columns, 18 bridge, 6 structural and 3 mutable-source controls, 17 parent and 16 hosted bit controls, 728 complex columns in both orientations, 44 response omission controls, phase/adapters checks, 11 complex local controls, 2,972 full physical charts and seven owner corruptions. Both moment engines certify the endpoints and reject the next grid point; all 47 outer constraints and their negative controls pass. Decimal arithmetic is used only to nominate endpoints.
The root manifest normalizes LF text, including headers and SHA files, before source binding. New word constructors and the complex replay wrapper explicitly fix gzip compression level, timestamp and OS byte. Full replay from an all-text CRLF copy is included in the release validation. Upload batches are content-identical subdivisions of one directory, with no large or generated build artifacts.
Direct upstream lineage
Changed-head commit pins and preserved attribution notices are included. PR533/536/537/538 and PR540 were also inspected; their claims are not added to this result. PR540's narrower literal-invocation verification is not used as a proof of the all-size root.
All-size compiler realization, common-label/mutable-basis transfer, whole-call hosting, precision/tape and analytic-transfer interfaces remain conditional. A helper's complete endpoint includes its residual Q action; scalar-body dirt restoration is a separate fact, not a license to erase that residual.