50,000 vehicles. 200 suppliers. One defective brake batch manufactured and quietly cleared by inspection — 12 months before anyone knew it was defective. The bitemporal question: which vehicles were assembled with batch BRK-2024-0847 before we knew it was defective?
50K
Vehicles in scope
200
Tier-1 suppliers
3,200
Vehicles exposed
14 mo
Defect hidden
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The story
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Recorded status diverges from actual validity — the bitemporal gap is now visible.
Inspection Record (AT RECORDED)
Batch BRK-2024-0847 as recorded at this date
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Vehicles assembled (as known)
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Risk classification
AT RECORDED '—' — what inspectors saw on this date
True Validity (AT VALID — current knowledge)
Batch BRK-2024-0847 as we know it now
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Vehicles exposed (true count)
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True risk classification
AT VALID '—' — what we know today, regardless of when it was recorded
Show the Cypher running this demo (real, live, against supply_chain)
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Your supply chain has a BRK-2024-0847.
Every component, every inspection, every sign-off — replayable in bitemporal time. Know exactly what was known when. Reconstruct any recall boundary in minutes, not months.