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Manuscript En01-B@2 · En01-B-v2.tex · f226d1eb

Calibrated Obstructions and Nuisance-Cancelling Controls for Gravity-Related Decoherence A Superconducting-Microsphere Interferometer: Regularized Dynamics, Preparation Records, and Detector Certificates

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Proves an exact complete-record overlap when a shared quadratic force shift stays inside an independent calibration width, and a nonquadratic homogeneous-sphere contrast whose unsmeared coefficient is -5041/81920. Gaussian regularization keeps that contrast strictly negative at every finite width, with a uniform bound for r_c at most R/100. Log-visibility intervals and a bounded attempted-run statistic are separate certificates. En01-A is a conceptual predecessor and is not a premise. This is not an experimental exclusion, not a derivation of a metric, and not a gravity-generated entanglement test. Radiation bounds are not transferred by replacing a microscopic cutoff with a sphere radius. Continuous apparatus inputs remain unresolved. No quantum coefficient is admitted. No compilation is asserted. No execution record is claimed.

Front matter

  • abstractAbstractFront matter · lines 725–758
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    We develop a paired negative and constructive identifiability analysis for the superconducting-microsphere interferometer proposed by Pino and collaborators. For a shared residual force-diffusion amplitude independently restricted to an interval, proportional quadratic environmental and gravitational responses produce an exact complete-record match whenever the gravitational coefficient shift does not exceed the calibration width. This establishes family overlap, not containment of the entire alternative family. We distinguish calibration of the environmental source from calibration of total centre-of-mass heating, and derive a regularized-model near-obstruction bound with explicit domain and implementation errors.

    A complementary three-separation contrast cancels a common preparation offset and quadratic environmental attenuation. For a continuous homogeneous sphere at separations , its unsmeared gravitational coefficient is , in units . We prove that the contrast remains strictly negative for every finite Gaussian regularization length, obtain a uniform quantitative lower bound for , and give validated spectral quadrature and large-smearing bounds. A robust signed contrast margin survives only when setting-dependent preparation, environmental-shape, trajectory, and sensing errors are sufficiently small.

    Log-visibility inference is connected to complete attempted-run records through confidence intervals; it is not treated as a bounded per-run statistic. A separate bounded-statistic route provides uniform sample certificates. The analytical results and embedded regressions do not claim reproduced apparatus performance or an experimental exclusion.

  • figureA signed contrast is not an experimental exclusionFront matter · En01-B@2#fig:scope-En01-B · lines 760–773
    Quadratic calibration overlap
    →
    Nonquadratic sphere contrast
    →
    Experimental exclusion
    A signed contrast is not an experimental exclusion.

    A signed contrast is not an experimental exclusion. The three boxes name objects this manuscript keeps separate. The dashed box is the stated stop. Not a proof, and not an admission of a quantum coefficient.

  • figureA signed contrast is not an experimental exclusionFront matter · En01-B@2#fig:split-En01-B · lines 775–786
    Quadratic calibration overlap
    Experimental exclusion
    A signed contrast is not an experimental exclusion.

    A signed contrast is not an experimental exclusion. Reading downward is not a transfer. Not a proof, and not an admission of a quantum coefficient.

  • figureReading downward is not a transferFront matter · En01-B@2#fig:chain-En01-B · lines 788–799
    Quadratic calibration overlap
    ↓
    Nonquadratic sphere contrast
    ↓
    Experimental exclusion
    A signed contrast is not an experimental exclusion.

    Reading downward is not a transfer. Not a proof, and not an admission of a quantum coefficient.

  • figureQuadratic calibration overlap is not Experimental exclusionFront matter · En01-B@2#fig:pair-En01-B · lines 801–810
    Quadratic calibration overlap
    not the same object
    Experimental exclusion
    Nonquadratic sphere contrast. A signed contrast is not an experimental exclusion.

    Quadratic calibration overlap is not Experimental exclusion. Not a proof, and not an admission of a quantum coefficient.

  • figureThree statuses stay separateFront matter · En01-B@2#fig:gate-En01-B · lines 812–822
    Named: Quadratic calibration overlap
    →
    Used here: Nonquadratic sphere contrast
    →
    Not claimed: Experimental exclusion
    A signed contrast is not an experimental exclusion.

    Three statuses stay separate. Not a proof, and not an admission of a quantum coefficient.

  • sectionFront matterFront matter · lines 822–825
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    Figure fig:scope-En01-B, Figure fig:split-En01-B, Figure fig:chain-En01-B, Figure fig:pair-En01-B, and Figure fig:gate-En01-B name the stop. Not a proof, and not an admission of a quantum coefficient.

Question, contribution, and scope

  • sectionQuestion, contribution, and scopeQuestion, contribution, and scope · lines 827–874
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    A reduced fringe contrast does not identify the source of decoherence. The relevant question is whether a calibrated environmental family can reproduce the same recorded outcomes as a specified additional gravity-related dynamical model.

    We use the staged superconducting-microsphere proposal of Pino and collaborators Pino2018 as the experimental reference. Its long-wavelength localization model motivates a residual force-diffusion nuisance, while its preparation and sensing stages require explicit accounting of squared-position outcomes and failures. The reference is a proposal, not a completed gravitational-decoherence experiment.

    The contribution has two linked parts:

    1. Calibrated obstruction. A shared uncertain residual amplitude can leave an exact non-identifiable region even after an environmental calibration interval is supplied. The matching condition is imposed across all stages and settings.

    2. Nuisance-cancelling control. A specified separation contrast eliminates selected constant and quadratic attenuation terms, but retains a nonquadratic gravitational response with a proved regularization-dependent margin.

    These conclusions concern different models and must not be conflated. The obstruction is exact in the declared quadratic dynamical model. The positive contrast is a controlled attenuation diagnostic whose application to the full apparatus requires a residual ledger. Coefficient separation alone is not detector separation.

    All analytical results are proved here. External inputs are the reference architecture, the motivation for regularized mass-density models, and the radiation constraints cited in Section sec:radiation. Neither a manuscript registry nor an unverified companion result is a mathematical premise.

    En01-A En01A provides conceptual background on accessible state differences. Here the difference is between dynamically constructed outputs, not a state and its record pinching. Its copy-screening and Möbius results are not imported.

Reference protocol and observation boundary

  • sectionReference protocol and observation boundaryReference protocol and observation boundary · En01-B@2#tab:protocol, En01-B@2#eq:record · lines 876–955
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    InputReference benchmarkApplication status
    SphereNiobium, Geometry and material must be measured
    MassApproximately amuIndependent mass characterization
    Nominal separation nmPreparation-outcome dependent
    Cooling msInitial preparation retained
    Boost msStage retained
    Free expansion msStage retained
    Split sensing msFinite squared-position instrument
    Rotation msStage retained
    Inflation msStage retained
    Final sensing msFinite squared-position readout
    Post-cooling durationApproximately msNot an attempt repetition period

    {Proposed reference values from Pino2018 (Sec. V and Appendix). The listed rounded post-cooling durations sum to ms. They are not demonstrated capabilities.}

    The order is

    The three control separations introduced below are proposed settings; their feasibility is not established by the single reference separation.

    An attempted run includes its preparation record, its accept/reject flag, sensing failures, and detector bins. A quantum instrument is a countably additive family of completely positive maps whose total map is trace preserving. For a continuous outcome, instrument integrals, rather than individual density elements, are trace nonincreasing.

    Let be propagation maps and the finite sensing instruments. The successful record law is schematically

    Rejection and failure outcomes complete its mass to one. Later maps may depend on earlier accessible outcomes.

    The -dependence of a sensing instrument includes dynamics during its finite interaction time. It is not a choice of different electronics for the two hypotheses. A common terminal detector channel is applied only after completing the hypothesis-dependent sphere–sensor evolution.

    For an impulsive diagnostic, a normalized squared-position instrument has Kraus density

    In a resolved positive-outcome regime its packet-centre separation is approximately . Replacing finite split sensing by this impulsive map requires a separate approximation bound.

Declared regularized model and its dynamics

  • sectionConvention and rigid-body specificationDeclared regularized model and its dynamics › Convention and rigid-body specification · En01-B@2#eq:DP · lines 959–1000
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    Let be a positive finite intrinsic mass measure on , with total mass , and let

    The width is the standard deviation in each Cartesian direction. A fixed-orientation rigid body moves along a unit vector , with centre-of-mass position operator on :

    We declare the generator

    The alternative adds , with . Unit strength means this normalization, not every convention called Díosi–Penrose in the literature. Regularization and normalization are physical model specifications Bahrami2014,TilloyDiosi2017.

    Our Fourier convention is

    Thus .

  • theoremTheorem: Bounded regularized kick generatorDeclared regularized model and its dynamics › Convention and rigid-body specification · En01-B@2#thm:kick, En01-B@2#eq:kick, En01-B@2#eq:rate · proof attached · lines 1001–1057
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    Put , , and

    Then is a finite positive even measure and

    Writing ,

    Its exponential is a CPTP semigroup on trace-class operators. The position coherence rate is

    Proof. Since ,

    Fourier transforming gives . On smooth finite-rank position kernels, substitution in (eq:DP) gives multiplication by . Evenness removes the sine part in (eq:kick). The bounded integral extends the identity to trace-class operators.

    For , define

    Then

    is a norm-convergent CPTP mixture. The zero-rate case is the identity. The norm bound follows from the norm-one unitary conjugations.

  • assumptionAssumption: Admitted baseline and sensing dynamicsDeclared regularized model and its dynamics › Convention and rigid-body specification · En01-B@2#ass:baseline · lines 1059–1067
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    For every tested setting and nuisance value, the common Hamiltonian, environmental evolution, and apparatus couplings define a strongly continuous CPTP propagator with the composition property. Its instruments are well defined. Unbounded diffusion terms, when used, have admitted realizations and the same operation domains in matched comparisons.

  • propositionProposition: Bounded addition to an admitted baselineDeclared regularized model and its dynamics › Convention and rigid-body specification · En01-B@2#prop:addition · proof attached · lines 1069–1083
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    Under Assumption ass:baseline, adding gives a unique strongly continuous CPTP bounded-perturbation propagator.

    Proof. Interleave the baseline propagator with Poisson-distributed jumps of rate , applying at each jump. The sum over ordered jump times converges in trace norm, with factorial bounds, and is CPTP. It solves the bounded variation-of-constants equation. Picard iteration with bound proves uniqueness.

  • sectionConvention and rigid-body specificationDeclared regularized model and its dynamics › Convention and rigid-body specification · lines 1083–1089
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    The gravitational contribution is included during cooling, pre-split evolution, and finite sensing. Boundedness of does not make the kinetic Hamiltonian or the position operator bounded.

  • sectionDifferent mass and packet prescriptionsDeclared regularized model and its dynamics › Different mass and packet prescriptions · En01-B@2#eq:spectral · lines 1090–1146
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    For two displaced intrinsic profiles,

    and Fourier substitution gives .

    A continuous homogeneous sphere has

    so

    A microscopic constituent specification instead has

    Its cross terms cannot be discarded without an approximation argument. Writing

    its rate is

    This follows by convolving two Gaussian mass profiles and using their Newtonian potential.

    Finite-width centre-of-mass packets are states of , not intrinsic mass profiles. Their coherence kernel experiences at every position pair. Packet width is not interchangeable with .

  • propositionProposition: Quadratic coefficient and remainderDeclared regularized model and its dynamics › Different mass and packet prescriptions · En01-B@2#prop:quadratic · proof attached · lines 1147–1181
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    Define

    For , these are finite and

    The quadratic generator is

    For isotropic profiles,

    Proof. Integrate . Angular means of and are and . Gaussian decay controls all moments.

Residual force noise under independent calibration

  • sectionOne shared amplitude, not a free amplitude per settingResidual force noise under independent calibration › One shared amplitude, not a free amplitude per setting · En01-B@2#eq:scalar0, En01-B@2#eq:scalar1 · lines 1186–1214
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    Let . The narrow residual model is

    Here are declared functions of stage, time, and accessible history. The same amplitude is used across settings. Independent environmental characterization supplies

    The reference's vibrational localization has a potential-dependent transfer function and can vanish during free motion Pino2018 (Sec. II). Thus proportionality to a persistent gravitational contribution is not inferred from the words “force noise”. It is an explicit model condition.

  • theoremTheorem: Calibrated quadratic obstructionResidual force noise under independent calibration › One shared amplitude, not a free amplitude per setting · En01-B@2#thm:width, En01-B@2#eq:obstruction · proof attached · lines 1215–1266
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    Suppose the two hypotheses use the same interval , all known dynamics and apparatus specifications match, and

    at every relevant stage, setting, and history, with one constant . Put .

    The coefficient intervals and overlap exactly when

    Whenever (eq:obstruction) holds, at least one null–alternative pair has identical complete attempted-run laws, including preparation, heralding, finite sensing, and failures. For that pair, every test satisfies

    Consequently no test has both errors uniformly below over the entire two families.

    This is family overlap, not containment of every alternative member in the null. When , the coefficient intervals are disjoint, but observable separation does not follow without a detector argument.

    Proof. Matching requires . Such values in exist precisely when , which for is (eq:obstruction). One explicit pair is , .

    For this pair the total generators in (eq:scalar0)–(eq:scalar1) agree. Uniqueness gives identical propagation. The same apparatus coupling and instrument give identical unnormalized outcome states. Induct over stages and accessible histories to obtain identical complete laws.

    For a randomized test declaring alternative,

    The remaining qualifications follow from interval overlap alone.

  • sectionOne shared amplitude, not a free amplitude per settingResidual force noise under independent calibration › One shared amplitude, not a free amplitude per setting · lines 1266–1273
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    If , or all vanish on the effective observation domain, there is no gravitational shift in this quadratic comparison. Otherwise nonproportional cannot be matched by this scalar shift at the generator level. That failure is not, by itself, an identifiability theorem.

  • figureFigureResidual force noise under independent calibration › One shared amplitude, not a free amplitude per setting · En01-B@2#fig:width · lines 1274–1298

    Quadratic-model obstruction for any chosen positive unit . Regularization enters through . Above the boundary only coefficient overlap is excluded; detector separation still needs proof. The optional artifact plots the corresponding homogeneous-sphere surface as a function of .

  • sectionCalibration records versus a calibrated intervalResidual force noise under independent calibration › Calibration records versus a calibrated interval · lines 1300–1303
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    Let denote calibration data and the interferometer record.

  • propositionProposition: Joint-calibration distinctionResidual force noise under independent calibration › Calibration records versus a calibrated interval · En01-B@2#prop:joint · proof attached · lines 1304–1325
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    Write the joint laws as

    They are equal if and only if their calibration marginals are equal and their conditional interferometer laws agree almost everywhere under the common marginal.

    A match of interferometer laws after fixing an interval does not imply a match of the joint laws when an external calibration distinguishes the corresponding environmental amplitudes.

    Proof. Equality of joint laws implies equality of marginals. Uniqueness of conditional probabilities up to marginal null sets gives the conditional equality. Conversely, integrate the common conditional law against the common marginal.

  • sectionCalibration records versus a calibrated intervalResidual force noise under independent calibration › Calibration records versus a calibrated interval · lines 1325–1333
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    Theorem thm:width is therefore an obstruction for inference using the declared interval and interferometer records. If raw external calibration data are also used, their laws belong in the comparison. Coverage of an interval alone does not establish equality of those laws.

  • propositionProposition: Heating is not source identificationResidual force noise under independent calibration › Calibration records versus a calibrated interval · En01-B@2#prop:heating · proof attached · lines 1334–1361
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    For a pure force-diffusion term , its contribution to momentum heating is

    If two models have identical centre-of-mass generators throughout a heating calibration and the interferometer, all admitted centre-of-mass calibration instruments have identical laws. Total heating alone does not identify the environmental part of .

    Proof. On a common moment domain,

    Move the double commutator to the observable. This is the diffusion contribution; Hamiltonian or damping terms may also change .

    Identical generators give identical states before each heating instrument and hence identical recorded distributions, as in Theorem thm:width.

  • sectionCalibration records versus a calibrated intervalResidual force noise under independent calibration › Calibration records versus a calibrated interval · lines 1361–1367
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    An external force sensor, gas characterization, or bath-resolved measurement can be an independent source calibration. A measurement of total centre-of-mass diffusion is not automatically such a calibration.

Near-obstruction in the full regularized model

  • propositionProposition: Bounded-aperture generator remainderNear-obstruction in the full regularized model · En01-B@2#prop:aperture · proof attached · lines 1371–1389
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    In a model with bounded self-adjoint position operator ,

    Proof. Evenness writes the generator as . The cosine family is the average of two unitary-conjugation trace-norm isometries. Taylor's integral remainder after the quadratic term is bounded by . Since , integration proves the result.

  • theoremTheorem: Full-model near-obstruction certificateNear-obstruction in the full regularized model · En01-B@2#thm:near, En01-B@2#eq:zeta · proof attached · lines 1391–1443
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    Choose in the calibration interval. Replace the gravitational quadratic term by . Suppose bounded-aperture comparison models have , and the actual complete laws are within total variation of those comparison laws.

    With uniform history-wise bounds when feedback is used,

    where

    The sums denote the stages of an attempted run, not an unweighted sum over alternative experimental designs. A bound exceeding one is replaced by the trivial bound one.

    For independent attempted runs,

    Thus uniformly small errors require .

    Proof. After matching the scalar shift, the generator difference is

    The first norm is bounded by Proposition prop:aperture. The second is at most . Variation of constants and CPTP contractivity bound the state trace distance by half the integrated generator norms. Complete instruments and terminal processing contract the same norm. Add the two law-approximation errors.

    For product laws, by telescoping. Every test has error sum at least one minus product-law total variation.

  • sectionNear-obstruction in the full regularized modelNear-obstruction in the full regularized model · lines 1443–1450
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    A scalar rate remainder is not a full-protocol trace-distance estimate. The terms must cover aperture replacement, boundary dynamics, preparation, sensing, and any other approximation. Spatial tail probabilities alone need not control the change of the Hamiltonian at a truncation boundary.

  • propositionProposition: State-specific residual certificateNear-obstruction in the full regularized model · En01-B@2#prop:residual · proof attached · lines 1451–1473
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    Let be an admitted exact evolution and a Hermitian normalized absolutely continuous approximation on a common variation-of-constants domain. If

    is integrable in trace norm, then

    The statement also applies to direct sums of unnormalized instrument blocks.

    Proof. Propagate the initial difference and the residual integral. The admitted propagator contracts Hermitian trace norm.

Beyond quadratic localization: an explicit control

  • sectionDiagnostic attenuation modelBeyond quadratic localization: an explicit control › Diagnostic attenuation model · En01-B@2#eq:Y · lines 1478–1517
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    For a setting with fixed effective separation , suppose

    The common offset and quadratic coefficient can differ between fitted hypotheses, but each is shared across the settings of its hypothesis.

    The constant and quadratic forms are motivated by saturated short-wavelength and long-wavelength localization, respectively Pino2018 (Sec. II). Actual gas-scattering localization and setting-dependent preparation are not assumed to obey them exactly; their departures enter .

    Equation (eq:Y) is a controlled diagnostic, not the complete seven-stage prediction.

    Choose

    Then

    Define

  • theoremTheorem: Nuisance cancellation and robust marginBeyond quadratic localization: an explicit control › Diagnostic attenuation model · En01-B@2#thm:contrast · proof attached · lines 1518–1562
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    Under (eq:Y),

    If , put . The contrast intervals are

    For a fixed alternative they are disjoint exactly when

    with remaining gap

    For an alternative family, a common oriented certificate instead requires one sign and

    An infimum of absolute values does not establish a common oriented threshold when the sign varies.

    Proof. Multiply (eq:Y) by the weights and sum. The two nuisance terms vanish. The residual magnitude is bounded by the weighted sum of its component bounds. Two centred closed intervals with radii and centre distance are disjoint precisely under the displayed strict inequality. The family statement applies the same orientation to every alternative.

  • propositionProposition: Unsmeared continuous-sphere rateBeyond quadratic localization: an explicit control › Exact homogeneous-sphere calculation · En01-B@2#prop:sphere · proof attached · lines 1571–1611
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    For a continuous homogeneous sphere,

    where

    In particular .

    Proof. The intrinsic density autocorrelation is

    It is the overlap volume of two spheres times the squared density. Its Newtonian pairing at displacement is

    Integrating the polynomial separately below and above gives

    for , and otherwise. The rate is . Its quadratic coefficient follows at .

  • corollaryCorollary: Exact three-separation signatureBeyond quadratic localization: an explicit control › Exact homogeneous-sphere calculation · En01-B@2#cor:exactcontrast, En01-B@2#eq:exactcontrast · proof attached · lines 1613–1637
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    With ,

    Proof. The quadratic contribution cancels. The remaining moments are

    Therefore

  • sectionExact homogeneous-sphere calculationBeyond quadratic localization: an explicit control › Exact homogeneous-sphere calculation · lines 1637–1642
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    Replacing gravity by a purely quadratic kernel makes the contrast zero. Allowing an independently free preparation offset at each setting also destroys the cancellation premise.

Gaussian regularization: sign, margin, and validated integration

  • sectionGaussian regularization: sign, margin, and validated integrationGaussian regularization: sign, margin, and validated integration · En01-B@2#eq:b · lines 1644–1662
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    Set

    Equation (eq:spectral) gives

    The constant term vanishes, and at the origin. Its pointwise oscillations do not determine the sign of the complete integral.

  • lemmaLemma: Radial autocorrelation after Gaussian smearingGaussian regularization: sign, margin, and validated integration › A sign theorem for every finite Gaussian width · En01-B@2#lem:radial · proof attached · lines 1665–1698
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    For a homogeneous sphere and , its smeared autocorrelation

    is positive, smooth, radial, and strictly decreasing at every radius .

    Proof. The unsmeared is nonnegative, radial, and decreasing on , and vanishes outside that ball. Its layer-cake representation is a positive mixture of indicators of balls of nonzero radii.

    For a ball of radius , let

    By the divergence theorem,

    Pair a point with with its reflection across the plane orthogonal to . For , the Gaussian value at the nearer point is strictly larger. The paired integral before the minus sign is positive. Thus . Integrate this strict inequality against the positive layer-cake mixture. Smoothness and positivity follow from Gaussian convolution.

  • theoremTheorem: Strictly negative regularized control responseGaussian regularization: sign, margin, and validated integration › A sign theorem for every finite Gaussian width · En01-B@2#thm:sign · proof attached · lines 1700–1747
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    For every finite , the function

    is strictly concave on . Consequently

    for the three separations used here. On every compact interval of finite positive regularization lengths, its negative magnitude has a strictly positive minimum.

    Proof. Let . The shell theorem gives

    Writing , differentiation gives

    Strict decrease of implies , so .

    For , strict concavity gives

    Since and , their slope difference equals . This proves the sign.

    Continuity in follows by dominated convergence in the spectral integral on compact positive intervals. A continuous strictly positive has a positive minimum on such an interval.

  • sectionA sign theorem for every finite Gaussian widthGaussian regularization: sign, margin, and validated integration › A sign theorem for every finite Gaussian width · lines 1747–1751
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    The last assertion is an existence result. The next theorem supplies an explicit usable lower bound.

  • theoremTheorem: Uniform small-smearing certificateGaussian regularization: sign, margin, and validated integration › A sign theorem for every finite Gaussian width · En01-B@2#thm:small, En01-B@2#eq:small · proof attached · lines 1752–1791
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    For all ,

    Hence, on ,

    More generally,

    Proof. Because , . Parseval's identity for the uniform unit-ball density gives

    Indeed, ; applying the stated Fourier normalization proves the identity.

    Use

    in (eq:b). The bound is . Set and apply Corollary cor:exactcontrast. The final rational inequality is direct.

  • corollaryCorollary: A uniform constructive marginGaussian regularization: sign, margin, and validated integration › A sign theorem for every finite Gaussian width · En01-B@2#cor:uniformmargin · proof attached · lines 1793–1810
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    For alternatives with , , and , the oriented contrast has a common deterministic gap at least

    A positive value certifies separation within the declared attenuation model and residual bounds.

    Proof. Use the fixed negative sign and (eq:small) in Theorem thm:contrast.

  • propositionProposition: Large-smearing upper boundGaussian regularization: sign, margin, and validated integration › Large smearing reduces the available margin · En01-B@2#prop:large · proof attached · lines 1814–1839
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    For the homogeneous sphere,

    Thus its constructive margin tends to zero as , despite remaining strictly signed for every finite .

    Proof. The quadratic terms cancel and

    Using ,

    The weighted fourth moment is . Substitute and express the result in units .

  • figureFigureGaussian regularization: sign, margin, and validated integration › Large smearing reduces the available margin · En01-B@2#fig:small · lines 1841–1864

    A proved lower certificate, not an approximation to the full response curve. The certificate becoming zero does not mean the response changes sign; Theorem thm:sign proves otherwise.

  • propositionProposition: Explicit spectral integration enclosureGaussian regularization: sign, margin, and validated integration › Validated spectral quadrature · En01-B@2#prop:quadrature · proof attached · lines 1868–1930
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    Let , , and use composite Simpson quadrature with an even number of equal intervals on . For , define

    Let and

    If , put

    Then the finite-interval quadrature error for is at most

    The omitted tail is bounded by

    Validated nodal intervals and an interval for , combined with these errors, give a rigorous enclosure for .

    An enclosure at extends to a whole regularization cell by adding .

    Proof. The normalized sphere form factor is an average of with , so . Leibniz's rule gives . Since , . The Gaussian derivative is , bounded by . The product derivative bound is therefore . The standard Simpson remainder, obtained by integrating the fourth-order interpolation remainder panel by panel, gives the stated finite-interval error.

    For the first tail bound, use , , and

    For , . Integrating gives the second bound after multiplying by . The cell extension is Theorem thm:small.

  • sectionValidated spectral quadratureGaussian regularization: sign, margin, and validated integration › Validated spectral quadrature · lines 1930–1937
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    The embedded optional validated calculation uses exact rational interval Taylor evaluations, including a Machin-identity enclosure for . It does not assume floating-point trigonometric evaluations are rigorous. Ordinary floating central values are separately labelled diagnostic.

Preparation and detector conditions for the control

  • sectionResidual ledgerPreparation and detector conditions for the control › Residual ledger · En01-B@2#tab:residual · lines 1941–1976
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    Departure from (eq:Y)Required bound or modification
    Setting-dependent preparation visibilityBound its log-visibility departure from one shared offset
    Finite packet width and shape changeState-specific packet or full-protocol error certificate
    Unsaturated gas localizationBound departure from the constant template
    Nonquadratic environmental attenuationBound it or include an additional nuisance template
    Setting-dependent sensing responseJoint response calibration, including efficiencies and failures
    Separation uncertaintyDerivative or interval propagation with calibrated separation windows
    Moving branch separationTrajectory-integrated templates, validated before use
    Different pre-split dynamicsFull protocol comparison, not a post-split attenuation insertion
    Outcome-dependent preparationRetain records; bound windowing and heralding effects

    constructive theorem requires every relevant departure to enter its residual budget. An independently free offset at each setting invalidates the cancellation rather than merely increasing precision requirements.

  • propositionProposition: Separation-error propagationPreparation and detector conditions for the control › Residual ledger · En01-B@2#prop:separation · proof attached · lines 1977–2007
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    If and on the corresponding windows, then

    For the homogeneous sphere, Gaussian smearing gives , and

    For nominal weights cancelling , the quadratic nuisance leakage is at most

    Proof. Apply the mean-value theorem termwise. Differentiate (eq:rate) and use . Smearing multiplies the positive moment integral by a factor at most one. The last bound expands .

  • sectionResidual ledgerPreparation and detector conditions for the control › Residual ledger · lines 2007–2011
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    A separation error is therefore not harmless when the cancelled nuisance coefficient is arbitrarily large.

  • propositionProposition: Finite-width packet diagnosticPreparation and detector conditions for the control › Residual ledger · En01-B@2#prop:packet · proof attached · lines 2012–2033
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    Let an isometry embed two orthonormal packets with disjoint supports, each within distance of its centre . For a static dephasing interval , comparison with the two-centre kick model gives trace-distance error at most

    Proof. Disjoint supports give

    The conjugated state difference is bounded by twice this norm. Integrate the generator residual, propagate it contractively, and divide by two.

  • sectionResidual ledgerPreparation and detector conditions for the control › Residual ledger · lines 2033–2040
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    The disjoint-support condition is essential to this stated operator norm estimate. Gaussian packets require a tail/truncation certificate. Moving and deforming packets require a propagation certificate, not repeated informal use of the static result.

  • sectionMoving trajectories and additional nuisance templatesPreparation and detector conditions for the control › Moving trajectories and additional nuisance templates · lines 2041–2070
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    Suppose a validated branch description gives

    where

    Choose weights with

    Then Theorem thm:contrast applies with replaced by .

    More generally, for a matrix of declared nuisance templates, a nuisance-cancelling linear contrast exists precisely when

    One choice is , giving . This is linear algebra on a validated attenuation model, not proof that a branch-trajectory model describes the entire interferometer.

From detector records to log-visibility confidence

  • sectionThe common terminal detectorFrom detector records to log-visibility confidence › The common terminal detector · lines 2074–2086
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    Let be normalized completed sphere–sensor outputs and their common finite-outcome detector channel. For a static squared-position approximation,

    where is sub-Markov and principally depends on . Add the no-detection effect to normalize the measurement.

  • propositionProposition: Accessible distinguishability and heraldingFrom detector records to log-visibility confidence › The common terminal detector · En01-B@2#prop:detector · proof attached · lines 2087–2114
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    For ,

    Every fixed event bias is at most this detector total variation. For specified distributions, the positive-difference bins attain it.

    If an attempted law is

    with the normalized successful detector law, then equal success gives

    For unequal success, .

    Proof. The measurement output is diagonal, giving the first identity. Positivity and trace preservation contract Hermitian trace norm. The positive signed entries sum to half the absolute sum. For heralding, compare the explicit rejection and success entries.

  • sectionThe common terminal detectorFrom detector records to log-visibility confidence › The common terminal detector · lines 2114–2124
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    This is the trace-distance measurement principle Helstrom1976, not a license to compare unbounded generators in diamond norm.

    Ideal readout preserves position total variation for even densities: folding sends to . An odd density difference is lost. Finite response, binning, and jitter can lose more information.

  • sectionRoute A: invert calibrated event lawsFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · lines 2125–2130
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    The log contrast is not a bounded single-run statistic. It must not be inserted directly into a per-run Hoeffding bound.

  • assumptionAssumption: Calibrated visibility responseFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · En01-B@2#ass:visibility · lines 2131–2148
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    At setting , a fixed attempted-run histogram event satisfies

    with independently or jointly validated ranges

    Preparation acceptance and detection efficiencies are included in the response ranges or estimated jointly from retained flags.

  • theoremTheorem: Visibility and log-contrast confidence intervalsFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · En01-B@2#thm:logCI · proof attached · lines 2150–2200
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    At settings, use independent attempted runs and empirical event frequencies . Let

    With probability at least , all event probabilities lie in these intervals.

    On the calibration coverage event, valid visibility enclosures are

    If an enclosure is empty, the response model and data are inconsistent at the declared confidence level. Otherwise

    The interval for is obtained by selecting lower or upper endpoints according to the sign of each weight. It has simultaneous coverage at least if the calibration event has probability at least .

    Proof. Apply two-sided Hoeffding to each event and a union bound. For positive , the response equation implies

    Rearrange using the observed probability bounds. The logarithm is monotone, and a signed linear combination of intervals has the stated endpoint rule. Combine the two coverage events by a union bound.

  • sectionRoute A: invert calibrated event lawsFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · lines 2200–2205
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    A lower visibility bound is an application condition, not a numerical convenience. Without it, logarithmic errors can become arbitrarily large.

  • corollaryCorollary: A transparent sufficient log-contrast budgetFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · En01-B@2#cor:logbudget · proof attached · lines 2206–2236
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    Suppose are known, with , and all systematic errors have already been included in the deterministic contrast gap . Estimate by inverting the event law and clipping to . With equal per setting, the empirical contrast error is at most

    with probability at least . For the three-setting weights, . Thus

    is sufficient to keep this error at most . The total attempted-run count is .

    Proof. Clipping is nonexpansive when the true visibility belongs to the clipped interval. The inverse response has Lipschitz constant . On , the log has Lipschitz constant . Sum the three errors and solve the resulting inequality.

  • sectionRoute A: invert calibrated event lawsFrom detector records to log-visibility confidence › Route A: invert calibrated event laws · lines 2236–2243
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    The midpoint decision orientation must use the corresponding deterministic contrast intervals. Detector calibration uncertainty should use Theorem thm:logCI, rather than silently treating fitted response parameters as exact.

Bounded complete-record certificates

  • sectionBounded complete-record certificatesBounded complete-record certificates · lines 2245–2259
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    For randomized settings with known probabilities , define

    The outcomes include setting labels, preparation records, rejections, and sensing failures. Nuisance parameters are jointly constrained across settings.

    For a predeclared , set .

  • theoremTheorem: Route B: robust bounded-statistic certificateBounded complete-record certificates · En01-B@2#thm:bounded · proof attached · lines 2260–2293
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    Suppose

    If actual laws are within total variation of the corresponding specified family members, put

    For , the midpoint threshold between the two enlarged expectation ranges, applied to independent attempted runs, has each error at most

    Consequently

    is sufficient for each error to be at most . The reversed orientation is equally valid.

    Proof. For , total variation bounds the expectation difference. This follows by integrating the events , . The enlarged ranges are separated by . The threshold is at least from either range. Hoeffding's one-sided bound gives Hoeffding1963.

  • propositionProposition: Common-statistic feasibilityBounded complete-record certificates · En01-B@2#prop:LP · proof attached · lines 2295–2324
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    For finite recorded alphabets and compact closed convex hulls , a positive common bounded-statistic gap exists if and only if .

    For finite lists of family vertices, its optimal gap is the linear program

    A finite nuisance grid represents a continuous family only after a uniform interpolation or optimization error is supplied.

    Proof. A positive gap survives convexification and excludes an intersection. Disjoint compact convex sets admit a strict separating linear functional. Adding a constant to every coordinate and rescaling puts its coefficients in , since all law vectors sum to one. The displayed program is exactly the finite common-gap optimization.

  • sectionBounded complete-record certificatesBounded complete-record certificates · lines 2324–2361
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    A positive log-contrast margin does not automatically imply a positive single-copy linear-program gap. The logarithm is nonlinear; convexification can introduce intersections not present in the original law families. Route A remains a valid separate inferential construction under its assumptions. Route B is the preferred apparatus-facing certificate when its positive gap has actually been established.

    For specified laws, the full-record likelihood ratio is

    and their classical Chernoff information is

    Endpoint terms use support conventions. This is an asymptotic simple-hypothesis exponent Chernoff1952, not a uniform composite-family certificate.

    Local nuisance-rank diagnostics can guide settings. With all probability coordinates retained, define , , and for positive . The nuisance-orthogonal information is

    It vanishes precisely when . The normalization constraints are retained in the derivative columns; one must not drop a probability coordinate and then use an unmodified diagonal Fisher weight. This tangent-space condition is not a global exclusion theorem.

Calibration–control trade-offs

  • sectionCalibration–control trade-offsCalibration–control trade-offs · En01-B@2#tab:tradeoff · lines 2363–2419
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    RegimeEstablished resultRequired next certificate
    Proportional quadratic responses, Exact interferometer-family overlapJoint external calibration may remove the match
    Full response close to matched quadratic dynamicsNear-obstruction with bound Domain, aperture, sensing and residual errors
    Nonquadratic response survives nuisance cancellationSigned contrast margin Visibility-response confidence or complete-histogram gap
    Broad residual spectral nuisanceExact absorption if its spectrum admits the gravity additionIndependent constraints excluding that spectrum

    negative and constructive results have compatible but different hypotheses. No row is an apparatus-specific experimental verdict.

    The calibration width can be large while an ideal log contrast still cancels the quadratic nuisance. Nevertheless, larger attenuation lowers and increases the required sample count. Cancellation of a nuisance coefficient is not cancellation of its cost to visibility.

    Additional settings help only when their validated response is transverse to the admitted nuisance templates. A time-only scan of

    has proportional derivatives and cannot distinguish the two coefficients. A separation scan likewise fails in a purely quadratic model. The three-setting construction exploits the exact sphere's nonquadratic response, not the number of settings alone.

    If each setting admits a free offset , choose . This matches all diagnostic visibilities and eliminates the proposed positive identification. Likewise a flat response eliminates visibility information at the detector even when the underlying contrast is nonzero.

Existing radiation constraints and interpretation

  • sectionExisting radiation constraints and interpretationExisting radiation constraints and interpretation · lines 2421–2448
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    Radiation limits apply to a universal microscopic collapse model with the corresponding charge dynamics, noise spectrum, mass smearing, and normalization. They are not automatically limits on a continuous macroscopic rigid-body prescription.

    Donadi and collaborators excluded the natural prescription considered in their underground radiation study Donadi2021. Their displayed coefficient is times (eq:DP)'s coefficient. The XENONnT analysis reports a source-native 95\% lower bound m for its Markovian DP model and includes charge-cancellation effects XENON2026. These limits cannot be transferred by replacing a macroscopic sphere radius or packet width with the microscopic cutoff.

    A source template proportional to permits a cubic-strength rescaling only when that template remains valid throughout the scan. When the spectral shape changes, the full external likelihood must be used. A prospective study should show separately the applicable external exclusion set, the certified interferometer sensitivity set, and their difference. This article produces no physical numerical exclusion contour.

Conclusion and submission boundary

  • sectionConclusion and submission boundaryConclusion and submission boundary · lines 2450–2484
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    The paired contribution is precise. A calibrated common force-noise amplitude leaves an exact quadratic family-overlap region under a declared proportionality condition. Centre-of-mass heating of matched total generators cannot identify the source. Beyond the quadratic approximation, a full-protocol near-obstruction requires operator-level and implementation error bounds.

    Conversely, three proposed separations cancel a shared constant and quadratic attenuation while retaining a nonquadratic continuous-sphere response. Its coefficient is evaluated exactly. Gaussian regularization preserves its sign at every finite width, and an explicit uniform magnitude certificate is available for . The positive conclusion survives only below the stated residual margin.

    The constructive attenuation theorem is not yet a validation of the reference apparatus's three-setting operation. Actual sensitivity requires calibrated preparation laws, transfer functions, detector response, and uniform propagation errors. The paper supplies the mathematical certificates and a reproducible test artifact; it does not invent those empirical inputs.

    No result is imported from characteristic-product, free-shell, retarded-graph, or field-theory admission programmes. A positive detector certificate would not resolve their separate analytic obligations. No Born-rule uniqueness result, ultraviolet completion, or experimental gravity measurement is claimed.

Regression artifact, evidence, and execution status

  • sectionRegression artifact, evidence, and execution statusRegression artifact, evidence, and execution status · lines 2486–2529
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    The embedded program checks:

    1. exact interval-overlap boundaries;

    2. independently assembled matched quadratic generators in a synthetic seven-label protocol;

    3. the matched total heating coefficient;

    4. constant and quadratic nuisance cancellation;

    5. the rational sphere contrast;

    6. the exact-rational uniform small-smearing lower certificate;

    7. separation-error and visibility-to-log interval propagation;

    8. a bounded common event gap for complete synthetic histograms;

    9. negative controls: quadratic gravity, free preparation offsets, and a flat detector.

    The default spectral integrations are floating-point diagnostics. They are not labelled validated continuum computations. The optional –validated calculation encloses using exact rational nodal intervals and Proposition prop:quadrature. Its printed decimal endpoints are presentations of the enclosing rational numbers recorded in the manifest.

    The staged matrix model is synthetic. Its Hamiltonians, units, packet, instruments, and efficiencies are not the reference apparatus. The survival of exact matching in this regression illustrates the written theorem but is not its proof.

    Optional Matplotlib output includes:

    1. regularized contrast diagnostics with the analytic certified small-width region;

    2. the quadratic overlap surface versus strength and regularization;

    3. complete synthetic histograms;

    4. a hypothetical log-contrast sample budget versus calibration width.

    A successful local invocation writes the SHA-256, environment, execution time, and results in En01-B-run.json. No invocation or compilation is claimed here.

  • listingListing: ListingRegression artifact, evidence, and execution status · lines 2530–2535
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    pdflatex En01-B.tex
    pdflatex En01-B.tex
    python En01-B-check.py
    python En01-B-check.py --validated
  • sectionRegression artifact, evidence, and execution statusRegression artifact, evidence, and execution status · lines 2535–2543
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    The build-computed generated-script MD5 identifier is:

    fileEn01-B-check.py

    This fingerprints generated bytes; it is not a proof or security certificate.

Corrections and assumption audit

  • sectionCorrections and assumption auditCorrections and assumption audit · lines 2549–2586
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    1. Undefined state-label notation is replaced by explicit or named quantities.

    2. Continuous instruments are defined through their integrated maps; an outcome density is not incorrectly required to be trace nonincreasing pointwise.

    3. The scalar calibrated obstruction establishes overlap, not whole-family containment.

    4. Matching is required across stages, controls, and histories; proportionality is not inferred from a generic force-noise label.

    5. Raw external calibration and interval-constrained inference are different experiments.

    6. Heating denotes the diffusion contribution unless other dynamical contributions have been subtracted.

    7. The homogeneous-sphere nonquadratic coefficient is exactly .

    8. Regularized sign is proved for the complete integral, not inferred from selected spectral nodes.

    9. Numerical sign certificates retain quadrature, tail, nodal, and parameter-cell errors.

    10. Packet operator-norm estimates explicitly require disjoint supports and an isometric embedding.

    11. Nominal separation cancellation does not remove uncertainty in the actual squared-separation template.

    12. Positive log contrast is not automatically a positive single-copy bounded-statistic gap.

    13. Log-confidence propagation requires a positive visibility floor and positive calibrated detector sensitivity.

    14. Fisher weighting uses complete constrained probability coordinates, or an appropriately transformed reduced metric.

    15. All statistical sample counts refer to attempted runs; calibration coverage, success probabilities, reset time, and correlations require separate accounting.

    16. No numerical or compiler execution record is fabricated.

  • bibliographyReferencesCorrections and assumption audit · lines 2587–2653
    Open as its own page

    Pino2018

    H. Pino, J. Prat-Camps, K. Sinha, B. P. Venkatesh, and O. Romero-Isart, On-chip quantum interference of a superconducting microsphere, Quantum Science and Technology 3, 025001 (2018). doi:10.1088/2058-9565/aa9d15. Reference version: arXiv:1603.01553v3.

    En01A

    N. Cheung, Accessible Interference in Recorded Quantum Circuits: Exact Interfaces, Record Architecture, and Collapse-Model Hierarchies, author-supplied manuscript En01-A.tex. Conceptual predecessor; no tower-specific result is assumed here.

    Bahrami2014

    M. Bahrami, A. Smirne, and A. Bassi, Role of gravity in the collapse of a wave function: A probe into the Diósi–Penrose model, Physical Review A 90, 062105 (2014). doi:10.1103/PhysRevA.90.062105. arXiv:1408.6460.

    TilloyDiosi2017

    A. Tilloy and L. Diósi, Principle of least decoherence for Newtonian semiclassical gravity, Physical Review D 96, 104045 (2017). doi:10.1103/PhysRevD.96.104045. arXiv:1706.01856.

    Donadi2021

    S. Donadi, K. Piscicchia, C. Curceanu, L. Diósi, M. Laubenstein, and A. Bassi, Underground test of gravity-related wave function collapse, Nature Physics 17, 74–78 (2021). Published online 7 September 2020. doi:10.1038/s41567-020-1008-4. arXiv:2111.13490.

    XENON2026

    E. Aprile et al. (XENON Collaboration), Challenging Spontaneous Quantum Collapse with XENONnT, Physical Review Letters 136, 120201 (2026). doi:10.1103/2jm3-4976. Reference version: arXiv:2506.05507v2.

    Helstrom1976

    C. W. Helstrom, Quantum Detection and Estimation Theory, Academic Press, New York (1976).

    Hoeffding1963

    W. Hoeffding, Probability inequalities for sums of bounded random variables, Journal of the American Statistical Association 58, 13–30 (1963). doi:10.1080/01621459.1963.10500830.

    Chernoff1952

    H. Chernoff, A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations, Annals of Mathematical Statistics 23, 493–507 (1952).