View qualified historical result ↓
First read the example. Next, use Next step → to move through the diagram. The colored boxes show which items still have support; arrows show which item relies on another. Finally, compare the explanation with the selected original console excerpt. The example teaches the idea; the console excerpt reports what was observed.
RECORDED EXPERIMENT · V0
Evidence that remembers its reasons
A hospital needs dialysis supplies before morning treatments
At 6 a.m., a hospital needs dialysis filters delivered before scheduled treatments. A supplier has confirmed two possible transport routes: a truck on the highway and a freight train.
Read the complete real-world example
At 7 a.m., a closure makes the highway unusable. The train remains available, so the shipment might still arrive. When rail service is also cancelled, the original answer—“We have a delivery route”—can no longer be supported. A stale answer could lead staff to plan treatments around supplies that may not arrive.
How the example maps to experimental labels
In this picture: E17 = confirmed truck availability; C17 = truck delivery could work; E3 = confirmed rail availability; ALT = rail delivery could work (alternative path); TOP = at least one delivery route is available (overall conclusion). These are teaching labels; the real experiment used synthetic relationships, not actual transport records.
Where the analogy ends and the experiment begins
In the hospital example, the truck and train are independent ways to obtain a shipment. In the recorded experiment, two explicitly represented supporting paths affected an overall conclusion. Watch the first path fail while the alternative survives, then watch the remaining support disappear.
Real test: specifically represented synthetic evidence and conclusions, not actual supply routes. Select “Next step” to see the states reported in the selected original console output.
Guided graphical replay · v0
Follow the evidence through two corrections. The diagram shows which conclusions still have support at each step. This is a teaching illustration based on previously reported test results, not a new execution or a diagram of internal implementation.
Arrows show relationships, not good or bad status. Follow an arrow to see what relies on what; follow the box color to see its current state.
Define the terms used in this demonstration
In plain language
When a supporting fact changes, a conclusion may need to change too. This test asks whether unaffected conclusions can survive rather than being erased along with everything else.
Why it matters
Accumulated conclusions are useful only if the system can revisit them when their evidence changes.
For engineers
The bounded dependency representation supported selective invalidation and preservation of alternative justification.
Tested question
Withdrawing upstream evidence from an explicitly linked synthetic scenario.
View scientific record and qualified result summary
- Actual execution date/time
- NOT VERIFIED — exact historical timestamp unavailable
- First website publication
- NOT PUBLISHED — update only when the page is publicly released
- Test conditions
- A small synthetic scenario with explicit supporting relationships. Initially ALT and TOP were valid; MISSING was unknown. Evidence E17 was invalidated, then E3.
- Observed outcome
- ALT and TOP remained VALID after the E17 correction and became INVALIDATED after E3 was invalidated.
- Known limitations
- Small synthetic dataset; explicit dependencies; no competing-system benchmark. Deterministic replay PASS was reported by the experimental runner.
- Historical release-note date
- NOT VERIFIED
- Release note
- Initial experimental foundation for evidence-sensitive correction.
This public-draft summary is based on the recorded bounded experiment and does not represent a fresh run or a certified original transcript.