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lm-003895 · 2026-09

CSM_RH Paper 37 — Minimal Fixed-Power Breakthrough Gate, Dyadic Observability, and the Shrinking-Threshold Admission Bridge

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CSM_RH Paper 37

Minimal Fixed-Power Breakthrough Gate, Dyadic Observability, and the Shrinking-Threshold Admission Bridge

Project: CSM_RH
Paper: 37
Version: v0.1
Date: 2026-09-07
Parent state: CSM_RH v1.27 / Paper 36
Campaign: 36 — MINIMAL_FIXED_POWER_BREAKTHROUGH_GATE
Status: breakthrough-gate audit / no arithmetic candidate admitted; not a proof or disproof of RH


0. Trust boundary

This paper does not prove or disprove the Riemann Hypothesis.

RH_PROVED = FALSE
RH_DISPROVED = FALSE
GLOBAL_RH_CERTIFICATE = FALSE
CSM_RH_ROOT_STATUS = OPEN

Papers 17–36 generated and then audited a large family of possible surrogates:

lag energies;
fourth moments;
fully distinct correlations;
sieve-model residuals;
Selberg amplifiers;
parity bilinears;
coupled sieves;
rank-one low-frequency coordinates;
finite-rank projections;
rational/Stieltjes filters;
Müntz filters.

Campaign 36 imposes a stricter rule:

no object counts as progress merely because it has a fixed-power theorem somewhere. The theorem must observe the RH-hard prime-error mode and possess a proved deterministic bridge back to PESC or the fixed-power PNT mean square.

Under this gate, no current candidate is admitted.

The campaign nevertheless produces:

  1. a precise dyadic-observability rejection test;
  2. an exact counterexample showing why a known fixed-power transformed prime theorem does not qualify;
  3. a deterministic shrinking-threshold exceptional-set bridge to MLEPG;
  4. a single narrow next campaign.

No live GLM-5.3-Flash run is claimed.


1. Breakthrough-gate rules

A candidate theorem is admitted only if all of the following are present.

G1 — genuinely arithmetic estimate

There must be a proved estimate for the prime / von-Mangoldt sequence, not merely an approximation-theory or representation theorem.

G2 — fixed exponent

The conclusion must contain a fixed positive power of the main scale.

Allowed:

X−δ,δ>0 fixed.X^{-\delta}, \qquad \delta>0 \text{ fixed}.

Not sufficient:

(log⁡X)−A,(\log X)^{-A}, exp⁡[−(log⁡X)c],0<c<1,\exp[-(\log X)^c], \qquad 0<c<1,

or any

X−o(1).X^{-o(1)}.

G3 — no fixed-strip input

The fixed exponent may not be imported from an assumed fixed zero-free half-plane.

G4 — root observability

The observable must actually see the dyadic cumulative prime-error / principal low-frequency mode.

G5 — proved deterministic bridge

There must be a rigorous route from the estimate to one of:

F-RH-010 PESC;
F-RH-016 MLEPG;
fixed-power PNT mean-square.

2. Why fixed power alone is not enough

There exist genuine fixed-power theorems involving the von Mangoldt function which do not control the ordinary prime number theorem.

A useful test case is the quotient transform

(Tf)(x)=∑1≤n≤xf(⌊xn⌋).\boxed{ (Tf)(x) = \sum_{1\le n\le x} f \left( \left\lfloor \frac{x}{n} \right\rfloor \right). }

Wei Zhang proved a fixed-power asymptotic for f=Λf=\Lambda:

(TΛ)(x)=CΛx+Oε(x7/15+1/195+ε).\boxed{ (T\Lambda)(x) = C_\Lambda x + O_\varepsilon \left( x^{7/15+1/195+\varepsilon} \right). }

The exponent is approximately

0.47179.0.47179.

This is a real arithmetic fixed-power theorem.

It nevertheless fails the CSM_RH breakthrough gate.


3. Exact quotient-transform weight identity

Define

Δm(x)=⌊xm⌋−⌊xm+1⌋.\boxed{ \Delta_m(x) = \left\lfloor \frac{x}{m} \right\rfloor - \left\lfloor \frac{x}{m+1} \right\rfloor. }

Grouping by the value

m=⌊xn⌋m= \left\lfloor \frac{x}{n} \right\rfloor

gives:

Theorem 3.1 — Quotient Weight Identity

(Tf)(x)=∑m≤xf(m)Δm(x).\boxed{ (Tf)(x) = \sum_{m\le x} f(m)\Delta_m(x). }

The transform is therefore a sparse weighted sampler of ff.


4. Sparse support of the quotient weights

The number of indices with

Δm(x)≠0\Delta_m(x)\ne0

is at most

2⌊x⌋+1.\boxed{ 2\lfloor\sqrt x\rfloor+1. }

Indeed:

  1. there are at most x\sqrt x possible indices m≤xm\le\sqrt x ;
  2. if m>xm>\sqrt x and Δm(x)>0\Delta_m(x)>0, then m=⌊x/n⌋m=\lfloor x/n\rfloor for some n<xn<\sqrt x, giving at most another x\sqrt x values.

Thus a length- xx arithmetic sequence is sampled at only

O(x)O(\sqrt x)

positions by one quotient transform.


5. Exact dyadic blindness countermodel

Fix a scale XX and define

gX(m)=1X<m≤2X.\boxed{ g_X(m) = 1_{X<m\le2X}. }

For every integer

X<x≤2X,X<x\le2X,

the n=1n=1 term gives

gX(x)=1.g_X(x)=1.

For every

n≥2,n\ge2,

we have

⌊xn⌋≤X,\left\lfloor \frac{x}{n} \right\rfloor \le X,

and hence the corresponding term vanishes.

Therefore:

Theorem 5.1 — Exact Dyadic Blindness

(TgX)(x)=1(X<x≤2X).\boxed{ (Tg_X)(x)=1 \qquad (X<x\le2X). }

But the dyadic cumulative mass is

∑X<m≤2XgX(m)=X.\boxed{ \sum_{X<m\le2X}g_X(m) = X. }

A transform error as strong as

O(1)O(1)

is therefore compatible with maximal linear dyadic mass.


6. Dyadic observability obstruction

Create:

O-RH-086
QUOTIENT_TRANSFORM_DYADIC_OBSERVABILITY_FAILURE
status:
  CERTIFIED

Statement:

Fixed-power control of a sparse quotient transform does not deterministically control the cumulative error on the current dyadic block.

This is sufficient to reject the quotient-PNT fixed-power theorem from the PESC breakthrough gate.

The rejection does not diminish the theorem itself.

It only distinguishes:

fixed power in a smoothed/sparse transformed observable

from

fixed power in an RH-observing prime-error observable.

7. Root-observability requirement

The quotient example motivates a general gate rule.

A candidate linear observable

LX(a)\mathcal L_X(a)

must be tested against adversarial dyadic perturbations.

If there exists a family gXg_X with

∣Lx(gX)∣=Xo(1)\left| \mathcal L_x(g_X) \right| = X^{o(1)}

throughout the current dyadic scale while

∣∑X<n≤2XgX(n)∣=X1−o(1),\left| \sum_{X<n\le2X}g_X(n) \right| = X^{1-o(1)},

then the observable has no deterministic fixed-power bridge to the ordinary cumulative prime error without additional arithmetic information.

Create:

O-RH-087
FIXED_POWER_WITHOUT_ROOT_OBSERVABILITY_NOT_ADMISSIBLE
status:
  CERTIFIED AS CAMPAIGN-GATE PRINCIPLE

8. Current direct PESC calibration

Let

B(x)=ϑ(x)−x.B(x)=\vartheta(x)-x.

The best unconditional PNT remainder remains subpower relative to xx.

Current zero-free-region / zero-density refinements yield errors of the form

B(x)≪xexp⁡[−ω(x)],\boxed{ B(x) \ll x \exp [ -\omega(x) ], }

where

ω(x)=o(log⁡x)\omega(x) = o(\log x)

and in the Vinogradov–Korobov class is of order

(log⁡x)3/5(log⁡log⁡x)−1/5.(\log x)^{3/5} (\log\log x)^{-1/5}.

Hence

B(x)=x1−o(1).B(x) = x^{1-o(1)}.

Inserted into the direct PESC absolute-value bound, this remains only

CN≪N3−o(1).\boxed{ \mathcal C_N \ll N^{3-o(1)}. }

No fixed PESC exponent is currently obtained.


9. Direct MLEPG calibration

Recall

UH(x)=∑x<n≤x+H[Λ(n)−1].U_H(x) = \sum_{x<n\le x+H} [ \Lambda(n)-1 ].

The lag energy is

SΛ(X,H)=∫X2X∣UH(x)∣2 dx\boxed{ \mathcal S_\Lambda(X,H) = \int_X^{2X} |U_H(x)|^2 \,dx }

up to discrete/endpoint conventions.

Current 2026 higher-uniformity technology gives, for suitable polynomial HH, residual estimates with arbitrary fixed logarithmic precision on almost all intervals.

For the prime residual this remains:

H(log⁡X)−A\boxed{ H(\log X)^{-A} }

rather than

HX−η.HX^{-\eta}.

Thus the available input produces subpower rather than fixed-power MLEPG.

No candidate is admitted.


10. Guth–Maynard range improvement is not a precision exponent

The 2026 Guth–Maynard large-value theorem gives the zero-density estimate

N(σ,T)≤T30(1−σ)/13+o(1)\boxed{ N(\sigma,T) \le T^{30(1-\sigma)/13+o(1)} }

and asymptotics for primes in all short intervals at the scale

x17/30+o(1).x^{17/30+o(1)}.

Combined with the exceptional-set framework, one obtains almost-all short-interval PNT down to

θ>215.\theta>\frac{2}{15}.

This is a major range improvement.

But:

shorter admissible H:
  range gain

polynomially shrinking relative error:
  not supplied

fixed MLEPG exponent:
  not supplied

Range and precision remain distinct coordinates.


11. Gafni–Tao exceptional-set theorem remains fixed-threshold

Let

Eδ(X,θ)\mathcal E_\delta(X,\theta)

denote the set on which the short-interval PNT fails by a fixed relative threshold δ\delta.

The Gafni–Tao exceptional-set exponents are defined with

δ>0 fixed.\boxed{ \delta>0 \text{ fixed}. }

In the proof they explicitly:

fix delta;
choose J sufficiently large depending on delta, theta, epsilon;
let X tend to infinity with J, delta, theta, epsilon fixed.

The resulting bounds contain constants depending on

δ,θ,J,ε.\delta,\theta,J,\varepsilon.

Therefore the theorem as stated does not authorize the substitution

δ=X−η.\boxed{ \delta=X^{-\eta}. }

This confirms the fixed-threshold mismatch identified in Paper 19.


12. The shrinking-threshold condition that would pass the gate

The exact missing shape can now be stated.

Let

H=Xα,0<α<1.H=X^\alpha, \qquad 0<\alpha<1.

Assume there exist fixed

η>0,c>0\eta>0, \qquad c>0

such that

∣{x∈[X,2X]:∣UH(x)∣>HX−η}∣≪X1−c.\boxed{ \left| \left\{ x\in[X,2X]: |U_H(x)| > HX^{-\eta} \right\} \right| \ll X^{1-c}. }

Call this a shrinking-threshold exceptional-set estimate.

This is not currently claimed as a theorem.


13. Shrinking-threshold to MLEPG bridge

On the good set,

∣UH(x)∣2≤H2X−2η.|U_H(x)|^2 \le H^2X^{-2\eta}.

On every interval, the elementary bound gives

∣UH(x)∣≪Hlog⁡X.|U_H(x)| \ll H\log X.

Hence the bad-set contribution is

≪X1−cH2(log⁡X)2.\ll X^{1-c} H^2 (\log X)^2.

Therefore:

Theorem 13.1 — Shrinking-Threshold Exceptional Set to Lag Energy

If Section 12 holds, then

SΛ(X,H)≪XH2X−2η+X1−cH2(log⁡X)2.\boxed{ \mathcal S_\Lambda(X,H) \ll XH^2X^{-2\eta} + X^{1-c}H^2(\log X)^2. }

Equivalently,

SΛ(X,H)≪XH2X−δ+o(1),\boxed{ \mathcal S_\Lambda(X,H) \ll XH^2 X^{-\delta+o(1)}, }

where

δ=min⁡{2η,c}.\boxed{ \delta = \min \{ 2\eta,c \}. }

This is stronger than the second term required by MLEPG.

Create:

B-RH-012
SHRINKING_THRESHOLD_EXCEPTIONAL_SET_TO_MLEPG
status:
  CERTIFIED

14. Consequence for the global fixed strip

By Paper 17's corrected residue-chain inequality,

∑n≤2N∣A(n)∣2≪(NH)2SΛ(N,H)+NH2,\sum_{n\le2N}|A(n)|^2 \ll \left( \frac NH \right)^2 \mathcal S_\Lambda(N,H) + NH^2,

where

A(x)=ψ(x)−x.A(x)=\psi(x)-x.

With

H=NαH=N^\alpha

and Theorem 13.1, one gets a fixed global mean-square exponent whenever

0<α<10<\alpha<1

and

η,c>0\eta,c>0

are fixed.

For sufficiently small fixed κ\kappa,

κ<min⁡{α,2η,c,2−2α}.\boxed{ \kappa < \min \{ \alpha, 2\eta, c, 2-2\alpha \}. }

The Mellin-pole bridge then excludes zeros in

ℜs>1−κ/2.\Re s>1-\kappa/2.

Thus the shrinking-threshold arithmetic estimate would genuinely pass Campaign 36.


15. Why current logarithmic thresholds fail the bridge

If instead

∣UH(x)∣≤H(log⁡X)−A|U_H(x)| \le H(\log X)^{-A}

outside an exceptional set of size

X(log⁡X)−A,X(\log X)^{-A},

then the same good/bad decomposition gives only inverse powers of log⁡X\log X.

At polynomial HH these are

X−o(1).X^{-o(1)}.

No fixed δ\delta in Theorem 13.1 is generated.

Thus the gate cleanly separates:

arbitrary fixed logarithmic accuracy

from

polynomially shrinking threshold accuracy.

16. Principal Fejer route

Paper 18 established that the complete triangular lag aggregate is the positive Fejer energy

∫01∣SX(α)∣2∣DH(α)∣2 dα.\int_0^1 |S_X(\alpha)|^2 |D_H(\alpha)|^2 \,d\alpha.

On the principal arc

∥α∥≤c/H,\|\alpha\| \le c/H,

one has

∣DH(α)∣2≫H2.|D_H(\alpha)|^2 \gg H^2.

Therefore any fixed-power MLEPG theorem must control the principal q=1q=1 low-frequency component at fixed-power strength.

Current minor-arc or non-principal-phase fixed-power exponential-sum theorems do not remove this principal contribution.

No candidate is admitted.


17. Prime-specific scale recurrence

The exact contraction identities of Papers 21–23 remain valid.

But fixed power requires cumulative contraction mass

Ω(log⁡X).\Omega(\log X).

Current unconditional prime information supplies at best sublinear contraction mass in the audited positive-defect routes.

No new prime-specific signed recurrence with linear contraction mass is currently proved.

No candidate is admitted.


18. Campaign 36 admission table

Candidate A — direct PESC

fixed-power arithmetic estimate:
  NO

verdict:
  REJECT / OPEN ROOT

Candidate B — direct MLEPG

fixed-power arithmetic estimate:
  NO

current precision:
  log/subpower

verdict:
  REJECT / OPEN

Candidate C — Gafni–Tao exceptional set

power-sized exceptional set:
  YES IN MANY RANGES

relative threshold:
  FIXED DELTA

polynomially shrinking threshold:
  NOT AUTHORIZED

verdict:
  REJECT

Candidate D — Guth–Maynard short intervals

range breakthrough:
  YES

fixed relative power precision:
  NO

verdict:
  REJECT FOR THIS GATE

Candidate E — quotient-transform PNT

fixed-power theorem:
  YES

root observability:
  FAILS

deterministic PESC bridge:
  NO

verdict:
  REJECT

Candidate F — principal Fejer fixed power

would pass gate:
  YES

currently proved:
  NO

Candidate G — shrinking-threshold short interval

would pass gate:
  YES

direct bridge:
  B-RH-012

currently proved:
  NO

19. Campaign 36 verdict

No candidate is admitted.

This is an intentional successful outcome of the gate.

new fixed-power arithmetic theorem admitted:
  NONE

false-positive fixed-power theorem detected:
  quotient transform

new deterministic bridge:
  B-RH-012

root target:
  unchanged

The state is not advanced by inventing another equivalent criterion.

It is advanced by making the admission boundary explicit.


20. New certified package

Create:

O-RH-086
QUOTIENT_TRANSFORM_DYADIC_OBSERVABILITY_FAILURE
CERTIFIED

O-RH-087
FIXED_POWER_WITHOUT_ROOT_OBSERVABILITY_NOT_ADMISSIBLE
CERTIFIED AS CAMPAIGN-GATE PRINCIPLE

B-RH-012
SHRINKING_THRESHOLD_EXCEPTIONAL_SET_TO_MLEPG
CERTIFIED

No new frontier is created.


21. Canonical status

F-RH-010
PESC
OPEN / ROOT TARGET

F-RH-016
MLEPG
OPEN / DIRECT THEOREM CANDIDATE

Campaign-36 admitted fixed-power theorem:
  NONE

22. Campaign 37

The next campaign is deliberately narrow:

CSM_RH Campaign 37
SHRINKING_THRESHOLD_TAIL_ATTACK

It does not create a new canonical frontier.

Its sole objective is to determine whether the Gafni–Tao / Guth–Maynard exceptional-set machinery can be quantified when the relative threshold shrinks as a power of XX.


23. Campaign 37 tracks

ST1 — explicit delta dependence

Re-read the exceptional-set proof and expose every dependence on the fixed threshold δ\delta.

Track:

subdivision count;
choice of J;
explicit-formula truncation;
Markov threshold;
L2/L4 zero-sum estimates;
implied constants.

ST2 — polynomially shrinking substitution

Set

δ=X−η.\delta=X^{-\eta}.

Allow

J=J(X)J=J(X)

if necessary.

Track the effect on

T=J(log⁡X)2X1−αT = J(\log X)^2X^{1-\alpha}

and therefore on every zero-density exponent.

ST3 — Guth–Maynard density insertion

Insert

A0=3013A_0=\frac{30}{13}

and determine whether there exists any open region

(α,η,c)(\alpha,\eta,c)

with

η>0,c>0\eta>0, \qquad c>0

for which the shrinking-threshold exceptional-set estimate survives.

ST4 — layer-cake / second-moment optimization

If threshold-dependent tail estimates exist, integrate the full tail instead of using one threshold.

Target:

SΛ(X,H)≪XH2X−δ0.\mathcal S_\Lambda(X,H) \ll XH^2X^{-\delta_0}.

ST5 — no hidden fixed-strip source

Reject any power which ultimately comes from assuming a fixed zero-free strip.

The exponent must emerge from large-value / zero-density / exceptional-set arithmetic alone.


24. Campaign 37 hard rejects

Reject:

delta fixed while being described as shrinking;
A=A(X) inside an O_A theorem without uniformity;
J growing while T is still treated as X^(1-alpha+o(1)) without checking;
fixed zero-free strip input;
only logarithmic threshold;
power exceptional set with constant relative error;
new transformed prime observable without dyadic observability.

25. External calibration

The Campaign-36 audit uses the following current facts.

  1. Guth–Maynard 2026 prove

    N(σ,T)≤T30(1−σ)/13+o(1)N(\sigma,T) \le T^{30(1-\sigma)/13+o(1)}

    and short-interval prime asymptotics at the 17/3017/30 all-interval scale.

  2. Gafni–Tao 2026 quantify exceptional-set exponents and recover almost-all PNT for

    θ>215.\theta>\frac{2}{15}.

    Their exceptional-set definitions and proof fix the relative threshold δ\delta before taking X→∞X\to\infty.

  3. Matomäki–Radziwiłł–Shao–Tao–Teräväinen 2026 give arbitrary fixed logarithmic precision for Λ−Λ♯\Lambda-\Lambda^\sharp on almost all polynomial short intervals in their range.

  4. Current PNT remainder improvements based on Vinogradov–Korobov zero-free regions remain of the class $$ x\exp[-o(\log x)]

    x^{1-o(1)}. $$

  5. Fixed-power estimates do exist for some transformed von-Mangoldt observables, such as the quotient transform, demonstrating why root observability is a necessary extra gate condition.


26. State transition

CSM_RH v1.27
  ->
CSM_RH v1.28

with:

Campaign 36
  CLOSED_WITH_NO_ADMITTED_FIXED_POWER_THEOREM

O-RH-086
  QUOTIENT_TRANSFORM_DYADIC_OBSERVABILITY_FAILURE
  CREATED / CERTIFIED

O-RH-087
  FIXED_POWER_WITHOUT_ROOT_OBSERVABILITY_NOT_ADMISSIBLE
  CREATED / CERTIFIED

B-RH-012
  SHRINKING_THRESHOLD_EXCEPTIONAL_SET_TO_MLEPG
  CREATED / CERTIFIED

F-RH-010
  PESC
  REMAINS OPEN / ROOT TARGET

F-RH-016
  MLEPG
  REMAINS OPEN

Campaign 37
  SHRINKING_THRESHOLD_TAIL_ATTACK
  READY

27. Final status

RH = OPEN

PESC = OPEN

MLEPG = OPEN

BREAKTHROUGH GATE = ACTIVE

CURRENT ADMITTED FIXED-POWER PRIME THEOREM = NONE

FIXED-POWER TRANSFORMED PRIME THEOREMS = NOT ENOUGH WITHOUT ROOT OBSERVABILITY

GUTH-MAYNARD = RANGE BREAKTHROUGH, NOT FIXED-PRECISION BREAKTHROUGH

GAFNI-TAO = POWER EXCEPTIONAL-SET TECHNOLOGY AT FIXED RELATIVE THRESHOLD

SHRINKING-THRESHOLD POWER EXCEPTIONAL SET = OPEN

NEXT CAMPAIGN = 37

The one theorem shape which now matters is:

∣{x:∣UH(x)∣>HX−η}∣≪X1−c.\boxed{ \left| \{ x: |U_H(x)|>HX^{-\eta} \} \right| \ll X^{1-c}. }

If proved for any fixed positive η\eta and cc at one polynomial scale H=XαH=X^\alpha, it passes the gate and feeds directly into MLEPG.

Everything else remains calibration.