Certified Inference
A finite certified-inference core with executable Lean sources and worked constructions.
Completion: Scoped release · Lean: Declared contract recorded · Confidence: Recorded formal evidence
Before you start
Suggested background: Basic command-line use and the package's programming language. Check its platform requirements before installation.
Recorded results and limits: Finished one-observation, finite-dimensional Gaussian inference contract with exact factor-coded data and checked termination/output certificates. No sampler or universal Python parser refinement.
Remaining work: Maintain proof-producing instance checks. Treat Python results as provisional until the emitted Lean instance passes.
The background advice is an editorial starting point. The work itself states its prerequisites and hypotheses.
Reading routes · Glossary · Claim links · Download this work
Worked examples for this work
These introductory calculations lead into this work’s subject. The source and evidence links below retain the work’s recorded scope.
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Written proofs
Find the statement number or section in the reading files, then read its assumptions and argument. A claim map may cover only part of the written result.
Written proofs may be in the reading files. There is no separate text or claim map linked here. The evidence record describes what has been reviewed.
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Lean
Start with the edition guide and the build instructions below. Check the correspondence records to see which written claims the Lean declarations cover. Source links lead to .lean files. PDF guides explain the formalization.
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Code
These links include code, examples, checks, or build tools. Read the edition guide for setup instructions and what each command does. All software is beta and work in progress.
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Evidence
- Completion, Lean coverage, confidence, and cited evidence
- Source-file receipt (identity and availability)
- All files in this source edition
The evidence records describe the reviews and runs completed for this edition.
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