Case 03: Exact Lean badge from a floating exclusion

Self-authored synthetic review scenario, not a published software claim or customer assertion. The source material is public and pinned to fd4aeeb2ee4fc729c18d98444fed42fd0529eeeb.

Proposed claim

A Python implementation is Lean verified to establish exactly three mutually unbiased bases in dimension six.

Review the declared model and statuses against the source. Cases 09/10 deliberately supply synthetic statuses to test documentary completeness. Those statuses are not authenticated evidence or proven hypotheses. Other cases explicitly leave operational obligations unknown.

Source pointers

• lean/docs/266.md, SHA-256 3141714e25026b26a4028e27ee001e70295310bad4290b5a8f7c9fd546e8a174.
• preprints/The-maximum-number-of-mutually-unbiased-bases-in-dimension-six-September-24-2026/The-maximum-number-of-mutually-unbiased-bases-in-dimension-six-September-24-2026.pdf, SHA-256 b4cc74c840c902494d589b51c8e9706490f37cf2735e69a0486122131c6b7446.

Pointers identify exact files, not a new complete-file reading, theorem proof or selected-run certificate. Determine the statement, hypotheses, formal coverage and missing model/implementation bridges from the source itself.

Review fields

Record preparation seconds, material gaps with exact evidence locations, unsure items, false alarms after adjudication and correction seconds in the blank result template. Do not open the report/key during the source-only arm. No expert has completed either arm.