Reproduce the baseline. Then challenge one assumption.
Interactive demonstrations are useful when their numbers can be recovered from the equations and their assumptions can be varied without quietly changing the question.
A five-step protocol
Freeze the specification
Record the page and model version, all inputs, units, preparation, outcome rule and calibration. Identify which inputs were measured, fitted or chosen for illustration.
Calculate a baseline by hand
Choose a small exactly solvable setting. Check normalization, signs, conservation rules and limiting cases. A plot that looks plausible is weaker evidence than a baseline with a known answer.
Change one admitted freedom
Vary a clock law, memory partition, detector overlap or response operator while keeping the other definitions fixed. Ask whether the claimed implication survives.
Retain the complete run
Save the inputs and outputs together. Include unsuccessful trials when acceptance or postselection is involved. State numerical tolerances and avoid presenting rounded agreement as an exact identity.
Compare an independent observable
Use a quantity that did not set the parameters. Report the reference model, uncertainty and parameter range. Reproducing a fitted input is a calibration check; predictive content comes from constraints on further observations.
Three checks to try immediately
MEMORY
Can the same present record hide different futures?
For a deterministic map F and a record map R, choose two states with R(x) = R(y). Compare the sequences R(Fkx) and R(Fky). One unequal future record is enough to disprove predictive closure of that partition.
If equality holds for every future step in a finite deterministic model, the states can be grouped for that observation protocol. A changed input alphabet or instrument can require a finer partition.
Does the clock ratio survive an alternative clock?
Choose B = 4 and r = 1/2. Then D = log 4 / log 2 = 2. The illustrative choices u = n log 4 and τ = n log 2 give u/τ = 2 for n > 0.
With τ′ = τ + u/2, the same archive gives u/τ′ = 1. Geometry alone therefore does not rule out this clock. A physical selection argument must explain which clocks are admissible.
For a balanced two-path benchmark, P± = [1 ± V cos φ]/2, with 0 ≤ V ≤ 1. Thus P+ + P− = 1. At V = 1 and φ = 0, the outputs are 1 and 0; at V = 0, both are 1/2.
These are checks of the supplied benchmark. An SMM/DTT interpretation becomes distinguishable only through an additional rule that changes or constrains an independently accessible observable.
The implementation reproduces that calculation within stated precision.
Additional cases and checks that target the actual failure modes.
Two equivalent mathematical descriptions
The transformation preserves the named observables.
A new observable or additional constraint to distinguish interpretations.
Model versus calibration data
The parameters can fit the chosen data under the supplied assumptions.
Out-of-sample observables, uncertainty and comparison with alternatives.
A theorem under stated premises
The conclusion follows in its quantified domain.
An argument that the physical system satisfies those premises.
An explicit countermodel
The original premises do not force the claimed conclusion.
A justified additional principle, a narrower claim, or a revised target.
A minimal reproducibility record
Page / model / date:
Question being checked:
Inputs and units:
Preparation and measurement rule:
Fixed calibration:
Exact or independently calculated baseline:
Varied assumption and allowed range:
Outputs, tolerance, and retained failures:
Reference model:
Which observation was not used for fitting?
Conclusion and limits:
The new labs provide downloadable run data where their controls support it. Keep that data with the model definition. A saved number without its preparation, input settings and observation rule is not a complete record.
Report a result another person can rerun.
When sending a correction or extension, link the exact page, supply the smallest example that demonstrates the issue, and distinguish a mathematical discrepancy from a numerical or display error. Continue with prediction and comparison, memory and repeatability, or contact the author.
SMONAD
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