A computer-assisted 23/33+ε23/33+\varepsilon bound for the exceptional set
in the binary Goldbach problem

Lorenzo Schiavone

18 July 2026

Abstract

Let E(X)E(X) denote the number of even integers not exceeding XX which are not a sum of two primes. Building on the zero-packet framework of Zhao and the exceptional-set reduction of Pintz, we prove E(X)εX23/33+ε,E(X)\ll_\varepsilon X^{23/33+\varepsilon}, and hence E(X)X69697/100000E(X)\ll X^{69697/100000}. The new ingredient is not a stronger zero-density theorem. It is an exact use of information already present in the fixed-class and unrestricted zero-density inequalities. First, an exhaustive early-or-late split retains the positive density charge supplied by each character class’s own first zero. Second, character classes are kept in their common first-zero order while the RR- and TT-parts of Zhao’s packet are recombined. A cap-and-mass majorization lemma then gives the exact quadratic maximum over the resulting enlarged polytope.

At the exponential coefficient A=33/10A=33/10, exact rational interval arithmetic proves, in every discretized non-near-Siegel branch, 𝒬A<198479200000=0.992395;\mathcal Q_A<\frac{198479}{200000}=0.992395; the directed limiting value is at most 0.9923945476940.992394547694, with slack at least 0.0076054523060.007605452306. The near-Siegel branch has a separate positive gap depending on the fixed lower zero defect. A coefficient-stable form of the Pintz–Zhao bridge gives E(X)εX23/33+ε.E(X)\ll_\varepsilon X^{23/33+\varepsilon}. The exact inequality 696971000002333=13300000>0\frac{69697}{100000}-\frac{23}{33} =\frac1{3300000}>0 then gives the stated exponent. All transcendental comparisons in the finite certificate use outward rational enclosures; floating point is used only to select trial parameters which are subsequently verified exactly. Source identifiers and reproduction commands are included.

1. Introduction

Write E(X):=#{nX:n0(mod2),np+p for all primes p,p}.E(X) := \#\{\,n\leq X:n\equiv0\pmod 2,\ n\neq p+p'\text{ for all primes }p,p'\,\}. Pintz proved E(X)<X0.72E(X)<X^{0.72} for sufficiently large XX (Pintz 2018). Zhao subsequently obtained E(X)=O(X7/10)E(X)=O(X^{7/10})(1.1) and, by the same zero-density architecture, the Linnik-type bound P(q)=O(q5)P(q)=O(q^5) (Zhao 2026). The implicit constants in these exceptional-set results are ineffective.

The purpose of this paper is to refine Zhao’s Goldbach packet while leaving its analytic zero-density inputs unchanged. The refinement has three parts.

  1. Inside a fixed relative-conductor class, the first zero of that class contributes a positive DD-term to Zhao’s fixed-class inequality. An exhaustive partition of its possible location yields a universal class cap without assigning an invalid upper position from a cumulative global count.

  2. The unrestricted inequality orders the possible character classes by their first zeros. This gives rankwise RR-caps, while the unrestricted estimates give total RR- and TT-mass budgets.

  3. The two cap sequences refer to the same ordered classes. They must therefore remain coupled. An exact aligned majorization lemma maximizes i(Ri+Ti)2\sum_i(R_i+T_i)^2 and prevents the loss created by separately maximizing the square and cross terms.

The coefficient in Zhao’s packet is 10/310/3. We work at A=3310.A=\frac{33}{10}.(1.2) This is a strengthening: lowering AA increases every exponential zero weight.

Theorem 1 (Main theorem). Let E(X)E(X) be the binary Goldbach exceptional set defined above. For every ε>0\varepsilon>0, E(X)εX23/33+ε.\boxed{E(X)\ll_\varepsilon X^{23/33+\varepsilon}.}(1.3) The implicit constant is ineffective.

Corollary 2. One has E(X)X69697/100000=X0.69697.E(X)\ll X^{69697/100000}=X^{0.69697}.(1.4)

The exact improvement in the base exponent over (1.1) is 7102333=1330.\frac7{10}-\frac{23}{33}=\frac1{330}.(1.5)

The proof is computer-assisted only in a finite collection of explicit inequalities. The analytic inputs are quoted from Zhao (Zhao 2026, Lemma 3.1, Lemma 3.3, (3.14)–(3.43)) and Pintz (Pintz 2018, sec. 2, Theorems I–K). The elementary majorization argument is proved in full in Section 5; the exact analytic-to-certificate correspondence is stated in Section 7.

Remark 3 (What the theorem does not prove). Theorem 1 still permits a power-sized exceptional set. It does not prove the binary Goldbach conjecture and it gives no effective threshold beyond which every even integer is Goldbach.

2. The zero packet and the exponent bridge

Packet notation

Let QQ be a modulus and let {𝒦ν}νI\{\mathcal K_\nu\}_{\nu\in I} be any finite family of nonempty, pairwise-disjoint sets of Dirichlet characters modulo QQ. We call their union the relevant characters and call the 𝒦ν\mathcal K_\nu packet classes. For fixed truncation height HH, let 𝒵ν\mathcal Z_\nu be the multiset of zeros ρ=β+iγ\rho=\beta+i\gamma, counted with multiplicity, of the primitive LL-functions inducing the characters in 𝒦ν\mathcal K_\nu which satisfy 1HlogQβ1,|γ|H.1-\frac{H}{\log Q}\leq\beta\leq1, \qquad |\gamma|\leq H. Set λρ=(1β)logQ,Sν,A=ρ𝒵νeAλρ,\lambda_\rho=(1-\beta)\log Q, \qquad S_{\nu,A}=\sum_{\rho\in\mathcal Z_\nu}\mathrm e^{-A\lambda_\rho}, and label defects within a nonempty class and the classes themselves by λν,1λν,2,λ1,1λ2,1.\lambda_{\nu,1}\leq\lambda_{\nu,2}\leq\cdots, \qquad \lambda_{1,1}\leq\lambda_{2,1}\leq\cdots. Thus λ1,1\lambda_{1,1} is the distinguished smallest defect and μν:=λν,1\mu_\nu:=\lambda_{\nu,1} is the first defect of class ν\nu. Define the quadratic packet 𝒬A=νSν,A2.\mathcal Q_A=\sum_\nu S_{\nu,A}^{\,2}.(2.1)

Definition 4 (Coefficient-AA packet property). For fixed A>0A>0, write 𝖹(A)\mathsf Z(A) for the following assertion. For c>0c>0, put Hc:=max{5.68,1.09log1c}.H_c:=\max\left\{5.68,\ 1.09\log\frac1c\right\}. For every c>0c>0 there exists κ=κ(A,c)>0\kappa=\kappa(A,c)>0 such that, for every HHcH\geq H_c and C1C\geq1, there exists Q0=Q0(A,c,H,C)Q_0=Q_0(A,c,H,C) with the following property. For every modulus QQ0Q\geq Q_0 and every finite family of nonempty, pairwise-disjoint character sets {𝒦ν}νI\{\mathcal K_\nu\}_{\nu\in I} modulo QQ, if the associated zero multisets satisfy λρc(ρ𝒵ν),maxχ,χ𝒦νcond(χχ¯)C,\lambda_\rho\geq c \quad(\rho\in\mathcal Z_\nu), \qquad \max_{\chi,\chi'\in\mathcal K_\nu} \operatorname{cond}(\chi\overline{\chi'})\leq C,(2.2) for every νI\nu\in I, then 𝒬A1κ.\mathcal Q_A\leq1-\kappa.(2.3)

Proposition 5 (Separation of defect and conductor parameters). Fix A>0A>0 and c>0c>0. Suppose that the limiting coefficient-AA packet calculation obtained from Zhao’s finite argument closes, at zero source error, with a gap κ0=κ0(A,c)>0\kappa_0=\kappa_0(A,c)>0, uniformly for every HHcH\geq H_c. Here uniformity means that all contributions above the finite detector levels are controlled by HH-independent tail majorants and that the finite operations admit a common perturbation tolerance δ=δ(A,c)>0\delta=\delta(A,c)>0. Then the analytic estimates underlying that calculation may be made uniform for every HHcH\geq H_c and every fixed relative-conductor bound CC in the precise order (A,c)(κ0,δ),HHc:Hϵ*(A,c,H),C1:(H,C)Q0.(A,c)\longmapsto(\kappa_0,\delta),\qquad \forall H\geq H_c:\ H\longmapsto\epsilon_*(A,c,H),\qquad \forall C\geq1:\ (H,C)\longmapsto Q_0.(2.4) In particular, one may take the final packet gap κ=κ0/2\kappa=\kappa_0/2, independently of HH and CC; those parameters affect only Q0(A,c,H,C)Q_0(A,c,H,C).

Proof. We distinguish throughout the target perturbation δ>0\delta>0 tolerated by the finite packet calculation from the source conductor exponent ϵ*>0\epsilon_*>0 in Pintz’s density theorems. They are not the same parameter.

The relative-conductor hypothesis MCM\leq C is used to place one class in Zhao’s M=O(1)M=O(1) alternative. In that alternative, Lemma 3.1 uses k=2(ϕ+3x+y+z),ϕ=13,k=2(\phi+3x+y+z),\qquad \phi=\frac13,(2.5) and the fixed-class form of Lemma 3.3 is (Δ2εz)N+2ΔD1.(\Delta^2-\varepsilon_z)N+2\Delta D\leq1.(2.6) After this alternative has been selected, neither (2.5) and (2.6), nor Zhao’s displayed constant 𝒞(x,y,z,Λ,λ0)\mathcal C(x,y,z,\Lambda,\lambda_0) contains the numerical value of MM. The same is true of Zhao’s fixed-class integer consequences, Abel summation, the RR-decomposition, and the two fixed-class DD-alternatives. Thus CC is absent from every limiting finite inequality.

By hypothesis, the exact certificate consists of finitely many rational inequalities, finitely many continuous operations whose denominators are strictly separated from zero, and tail inequalities which are uniform in HH. Its common target tolerance δ=δ(A,c)>0\delta=\delta(A,c)>0 is such that perturbing all source inequalities by at most δ\delta changes the final packet ceiling by less than κ0/2\kappa_0/2. This choice precedes HH and CC.

Now fix HHcH\geq H_c. At the source of Zhao’s fixed-class estimates, Pintz’s Theorems D and I are applied under cond(χχ¯)Qϵ*.\operatorname{cond}(\chi\overline{\chi'})\leq Q^{\epsilon_*}.(2.7) Pintz’s Theorem D, specifically his (4.3), and Theorem I, specifically his (4.34), enter Zhao’s Lemmas 3.1 and 3.3 with errors of the form OH(ϵ*)+oH,ϵ*(1)(Q);O_H(\epsilon_*)+o_{H,\epsilon_*}(1) \qquad(Q\longrightarrow\infty);(2.8) in particular, the multiplier 1+CD(H)ϵ*1+C_D(H)\epsilon_* in Theorem D is height-dependent. Choose ϵ*=ϵ*(A,c,H)>0\epsilon_*=\epsilon_*(A,c,H)>0 sufficiently small that every OH(ϵ*)O_H(\epsilon_*)-term, after its finitely many uses in the packet calculation, consumes less than δ/2\delta/2.

Only now fix CC. If QC1/ϵ*,Q\geq C^{1/\epsilon_*},(2.9) then MCM\leq C implies (2.7). Enlarge Q0Q_0 until all the oH,ϵ*(1)o_{H,\epsilon_*}(1)-terms in (2.8), together with the fixed-height zero-labeling and Deuring–Heilbronn errors, consume less than δ/2\delta/2. The resulting finite packet ceiling is at most 1κ0/21-\kappa_0/2.

For fixed AA, changing the exponential coefficient affects only fixed numerical weights and detector parameters. None of the limiting conductor reductions introduces the numerical value of CC. This proves the asserted order (2.4) and the quantifiers in Definition 4. ◻

Remark 6. Zhao states the lower-defect and relative-conductor restrictions using one parameter. Proposition 5 records the separation of their roles needed below. It is essential here that CC is fixed as QQ\to\infty; the statement would be false with no further information if C=C(Q)C=C(Q) were allowed to grow.

The Pintz–Zhao bridge

Lemma 7 (Conjugation and common-modulus domination). Let 0<θ<1/A0<\theta<1/A, Y=XθY=\lfloor X^\theta\rfloor, qYq\leq Y, and C01C_0\geq1. Let \mathcal R be a submultiset of the natural ordered Cartesian product of two finite zero multisets: each ordered pair may occur only with the product of its zero multiplicities. Write its elements as (ρi,ρj)(\rho_i,\rho_j), with ρ=β+iγ\rho_\ell=\beta_\ell+i\gamma_\ell belonging to a primitive character χ*\chi_\ell^* of conductor rqr_\ell\mid q, and suppose cond((χi*χj*)*)<C0((ρi,ρj)).\operatorname{cond}\bigl((\chi_i^*\chi_j^*)^*\bigr)<C_0 \qquad ((\rho_i,\rho_j)\in\mathcal R).(2.10) Put Q=qY/qQ=q\lfloor Y/q\rfloor. After conjugating the second zero variable, let 𝒳\mathscr X be the set of distinct primitive characters occurring in either coordinate, induce them to modulus QQ, and partition them into the connected components generated by cond((χ*χ*¯)*)<C0.\operatorname{cond}\bigl((\chi^*\overline{\chi'^*})^*\bigr)<C_0.(2.11) Fix any U1U\geq1 for which the selected and conjugated zeros lie in the Zhao rectangle 1UlogQβ1,|γ|U.1-\frac{U}{\log Q}\leq\beta\leq1,\qquad |\gamma|\leq U. If 𝒵ν(U)\mathcal Z_\nu(U) denotes the full zero multiset of the characters in component ν\nu in that rectangle, and λρ=(1β)logQ\lambda_\rho=(1-\beta)\log Q, then (ρi,ρj)X(1βi)(1βj)ν(ρ𝒵ν(U)eAλρ)2.\sum_{(\rho_i,\rho_j)\in\mathcal R} X^{-(1-\beta_i)-(1-\beta_j)} \leq \sum_\nu \left(\sum_{\rho\in\mathcal Z_\nu(U)} \mathrm e^{-A\lambda_\rho}\right)^2.(2.12) Every component has the fixed within-class bound cond((χ*χ*¯)*)Crel:=C0K1,\operatorname{cond}\bigl((\chi^*\overline{\chi'^*})^*\bigr) \leq C_{\mathrm{rel}}:=C_0^{K-1},(2.13) where K=|𝒳|K=\lvert\mathscr X\rvert (and the assertion is void when 𝒳=\mathscr X=\varnothing).

Proof. If L(ρj,χj*)=0L(\rho_j,\chi_j^*)=0, then L(ρj¯,χj*¯)=0L(\overline{\rho_j},\overline{\chi_j^*})=0. The involution (ρj,χj*)(ρj¯,χj*¯)(\rho_j,\chi_j^*)\longmapsto (\overline{\rho_j},\overline{\chi_j^*})(2.14) preserves 1βj1-\beta_j, height, conductor, multiplicity, and the condition rjqr_j\mid q. It converts (2.10) bijectively into (2.11). This is the reindexing between Pintz’s (2.13) and (2.36)–(2.37).

Since qYq\leq Y, one has qQ,Y/2<QY.q\mid Q,\qquad Y/2<Q\leq Y.(2.15) If χ*\chi^* has conductor dividing QQ, its induction χQ\chi_Q satisfies L(s,χQ)=L(s,χ*)pQpcondχ*(1χ*(p)ps).L(s,\chi_Q)=L(s,\chi^*) \prod_{\substack{p\mid Q\\p\nmid\operatorname{cond}\chi^*}} \left(1-\chi^*(p)p^{-s}\right).(2.16) The primitive LL-function inducing χQ\chi_Q is L(s,χ*)L(s,\chi^*), so the primitive packet zero multiset is unchanged by definition. The additional Euler-factor zeros of the imprimitive function lie on s=0\Re s=0 and do not enter that multiset. Moreover, cond((χQχQ¯)*)=cond((χ*χ*¯)*).\operatorname{cond}\bigl((\chi_Q\overline{\chi'_Q})^*\bigr) = \operatorname{cond}\bigl((\chi^*\overline{\chi'^*})^*\bigr).(2.17)

Conductor submultiplicativity along a simple path of at most K1K-1 edges gives (2.13). For δ=1β\delta_\ell=1-\beta_\ell and B=1/θ>AB=1/\theta>A, (2.15) gives X(δi+δj)QB(δi+δj)=eB(λi+λj)eA(λi+λj).X^{-(\delta_i+\delta_j)} \leq Q^{-B(\delta_i+\delta_j)} =\mathrm e^{-B(\lambda_i+\lambda_j)} \leq\mathrm e^{-A(\lambda_i+\lambda_j)}.(2.18) Every retained ordered occurrence is therefore bounded by the corresponding ordered occurrence in its component square. The Cartesian-product multiplicity hypothesis ensures that no occurrence is used more often than it appears in that square. Enlarging the selected zeros to the full multisets 𝒵ν(U)\mathcal Z_\nu(U) only adds nonnegative terms, which proves (2.12). ◻

Lemma 8 (Explicit-formula positivity ledger). Fix Pintz’s explicit-formula parameter τ>0\tau>0, and let H0,T0H_0,T_0 be fixed truncation parameters. Let KK be an upper bound for the number of selected zeros and let η>0\eta>0 be the small-singular-series cutoff in Pintz’s (2.12). Set 𝔰0:=2p3(11(p1)2)>0.\mathfrak s_0 :=2\prod_{p\geq3}\left(1-\frac1{(p-1)^2}\right)>0.(2.19) For an even m[X/2,X]m\in[X/2,X], let 𝒞X(m)\mathcal C_X(m) be the retained zero–zero sum in Pintz’s (2.21), with its original XX-weights and with the pole–pole pair removed. Assume that no retained pole–zero or zero–pole pair occurs. Then, for all sufficiently large XX, R1(m)𝔖(m)m1(1+ωX)𝒞X(m)2η(K+1)2𝔰02CEF(τ)𝔰0(ecEFH0+1T0+Xτ),\begin{split} \frac{R_1(m)}{\mathfrak S(m)m} \geq{}& 1-(1+\omega_X)\mathcal C_X(m) -\frac{2\eta(K+1)^2}{\mathfrak s_0}\\ &-\frac{2C_{\mathrm{EF}}(\tau)}{\mathfrak s_0} \left( \mathrm e^{-c_{\mathrm{EF}}H_0} +\frac1{\sqrt{T_0}}+X^{-\tau} \right), \end{split}(2.20) where ωX=OH0,T0(1/logX)\omega_X=O_{H_0,T_0}(1/\log X). Consequently, if 𝒞X(m)1κ\mathcal C_X(m)\leq1-\kappa for a fixed 0<κ1/20<\kappa\leq1/2, then the parameters may be chosen in the order κH0,T0KηX0\kappa\longmapsto H_0,T_0 \longmapsto K \longmapsto\eta \longmapsto X_0(2.21) so that R1(m)κ2𝔖(m)m>0(XX0).R_1(m)\geq\frac{\kappa}{2}\mathfrak S(m)m>0 \qquad(X\geq X_0).(2.22)

Proof. For even mm, the Euler product in Pintz’s (2.9) gives 𝔖(m)𝔰0\mathfrak S(m)\geq\mathfrak s_0. The pole–pole term in Pintz’s Theorem A is exactly 𝔖(m)m\mathfrak S(m)m. For every selected non-pole–pole singularity pair, Pintz’s beta-integral estimate (2.20) gives, uniformly over the fixed rectangle, |Γ(ρi)Γ(ρj)Γ(ρi+ρj)|m(δi+δj)(1+ωX)X(δi+δj).\left| \frac{\Gamma(\rho_i)\Gamma(\rho_j)} {\Gamma(\rho_i+\rho_j)} \right| m^{-(\delta_i+\delta_j)} \leq (1+\omega_X)X^{-(\delta_i+\delta_j)}.(2.23) Indeed, if s=δi+δj2H0/logXs=\delta_i+\delta_j\leq2H_0/\log X, then ms2sXs=(1+OH0(1logX))Xs,m^{-s}\leq2^sX^{-s} =\left(1+O_{H_0}\!\left(\frac1{\log X}\right)\right)X^{-s}, which is the precise use of mX/2m\geq X/2.

By hypothesis the retained non-pole terms are exactly the zero–zero terms counted by 𝒞X(m)\mathcal C_X(m). There are at most (K+1)2(K+1)^2 non-pole–pole pairs. For every pair failing one of Pintz’s three retention conditions, his (2.12) gives |𝔖(χi,χj,m)|η\lvert\mathfrak S(\chi_i,\chi_j,m)\rvert\leq\eta; after increasing X0X_0, the beta factor in (2.23) is at most two. Their normalized total is therefore at most the second error term in (2.20). Dividing the remainder in Pintz’s Theorem A by 𝔖(m)m𝔰0X/2\mathfrak S(m)m\geq\mathfrak s_0X/2 gives the final line of (2.20).

Choose H0,T0H_0,T_0 so that the first two explicit-formula terms contribute at most κ/16\kappa/16 each. The log-free density bound then fixes K=Oτ(e2H0)K=O_\tau(\mathrm e^{2H_0}). Choose η\eta so that its term is at most κ/16\kappa/16. Finally enlarge X0X_0 until the XτX^{-\tau}-term is at most κ/16\kappa/16 and ωXκ/4\omega_X\leq\kappa/4. Since (1+κ/4)(1κ)13κ4,(1+\kappa/4)(1-\kappa)\leq1-\frac{3\kappa}{4}, (2.20) yields (2.22). ◻

Theorem 9 (Coefficient-stable bridge). Assume 𝖹(A)\mathsf Z(A). If 0<θ<min{25,1A},0<\theta<\min\left\{\frac25,\frac1A\right\},(2.24) then E(X)A,θX1θ.E(X)\ll_{A,\theta}X^{1-\theta}.(2.25) Consequently, for every ε>0\varepsilon>0, E(X)ε,AX1min{2/5,1/A}+ε.E(X)\ll_{\varepsilon,A} X^{1-\min\{2/5,\,1/A\}+\varepsilon}.(2.26) In particular, if A5/2A\geq5/2, then E(X)ε,AX11/A+ε.E(X)\ll_{\varepsilon,A}X^{1-1/A+\varepsilon}.

Proof. It is enough to count exceptions in X/2<mXX/2<m\leq X. Fix, independently of XX, 0<τ<min{τ0,2/5θ2,245},0<\tau< \min\left\{\tau_0,\frac{2/5-\theta}{2},\frac{2}{45}\right\},(2.27) where τ0\tau_0 is the small absolute upper bound in Pintz’s Theorem A. Set Pintz’s preliminary short-interval parameter ε0=2τ\varepsilon_0=2\tau, and apply the explicit formula with ϑP=θ+2τ,εP=τ.\vartheta_{\mathrm P}=\theta+2\tau, \qquad \varepsilon_{\mathrm P}=\tau.(2.28) Its hypotheses hold because τ<ϑP<25<49τ,\tau<\vartheta_{\mathrm P}<\frac25<\frac49-\tau, and it supplies Xθ+τPXθ+2τ.X^{\theta+\tau}\leq P\leq X^{\theta+2\tau}.(2.29) The fact that this one PP works simultaneously for every mXm\leq X, rather than being selected separately for each target, is the uniformity assertion in Pintz’s published Theorem 1 (Pintz 2023). Pintz’s minor-arc estimate (2.6) therefore leaves O(XP1log10X)=o(X1θ)O(XP^{-1}\log^{10}X) =o(X^{1-\theta})(2.30) targets.

Invoke Pintz’s Theorem B with ε=τ\varepsilon'=\tau. If its exceptional real zero exists, then E(X)X3/5+τ=O(X1θ),E(X)\ll X^{3/5+\tau}=O(X^{1-\theta}), because θ+2τ<2/5\theta+2\tau<2/5. We may henceforth work in the complementary alternative. The classical primitive zero-free region (Davenport 2000, Ch. 14), together with the absence of that single possible exceptional real zero, supplies a fixed h=h(τ)>0h=h(\tau)>0 such that every relevant bounded-height zero satisfies 1βhlogX.1-\beta\geq\frac h{\log X}.(2.31) The constant hh is chosen from the absolute zero-free-region constant and Pintz’s Theorem B before any truncation height below is chosen. For every later fixed height UU, log(r(U+2))(2/5)logX+OU(1).\log(r(U+2))\leq(2/5)\log X+O_U(1). Thus taking U=HZU=H_Z below affects only X0X_0, not hh; there is no circular dependence.

Set c=hθ/2c=h\theta/2, and let κ=κ(A,c)>0\kappa=\kappa(A,c)>0 be furnished by 𝖹(A)\mathsf Z(A), decreased if necessary so that κ1/2\kappa\leq1/2. Choose H0,T0,K,ηH_0,T_0,K,\eta in the order (2.21), decreasing η\eta further so that η1\eta\leq1. Write C0=η3,Crel=C0K1.C_0=\eta^{-3}, \qquad C_{\mathrm{rel}}=C_0^{K-1}.(2.32) Here Pintz’s selected labelled-zero multiset is conjugation-stable, and the number of distinct primitive characters is no larger than the number of labelled zeros. Thus the log-free density estimate supplies one K1K\geq1 which bounds both quantities (even if the selected set is empty). These are fixed numbers. If one writes η=εcut/K2\eta=\varepsilon_{\mathrm{cut}}/K^2, then η3=K6/εcut3\eta^{-3}=K^6/\varepsilon_{\mathrm{cut}}^3; this is the reciprocal forced by Pintz’s (2.13) and (2.24), rather than the opposite parenthetical quantity printed in his (2.34).

Pintz partitions the targets into at most 2K2^K subsets according to which selected primitive conductors divide C1(η)mC_1(\eta)m; see his (2.26). For one subset let qq be their least common multiple, with the convention lcm()=1\operatorname{lcm}(\varnothing)=1, and put Y=XθY=\lfloor X^\theta\rfloor. For the empty subset the retained zero sum is empty. If q>Yq>Y, Pintz’s divisibility count (2.29) gives Oη,K(X1θ)O_{\eta,K}(X^{1-\theta}) targets in that subset. We may therefore suppose qYq\leq Y and form the modulus QQ in Lemma 7.

The retained critical sum contains no pole–zero pair once XX is large. Indeed, such a pair would force the zero character to have primitive conductor <C0<C_0. There are only finitely many such primitive LL-functions, and none vanishes at 11; their bounded-height zeros eventually lie outside β1H0/logX\beta\geq1-H_0/\log X. We may therefore apply Lemma 7 to the retained zero–zero pairs. These pairs form a submultiset of the natural ordered zero product, with the multiplicities required there.

Pintz’s horizontal truncation and (2.15) give (1β)logQθH0,|γ|T0.(1-\beta)\log Q\leq\theta H_0, \qquad |\gamma|\leq T_0. Thus the selected zeros lie in a fixed Zhao rectangle with HZ:=max{θH0,T0,5.68,1.09log1c}.H_Z:=\max\left\{ \theta H_0,\ T_0,\ 5.68,\ 1.09\log\frac1c \right\}.(2.33) Moreover, logQ(θ/2)logX\log Q\geq(\theta/2)\log X for all sufficiently large XX, and (2.31) gives λρ=(1β)logQc.\lambda_\rho=(1-\beta)\log Q\geq c.(2.34) The same bound holds for every additional zero of the selected primitive characters in this full Zhao rectangle. In particular, HZHcH_Z\geq H_c, so the moving cutoff required in the near-Siegel branch is contained in the rectangle before 𝖹(A)\mathsf Z(A) is invoked.

All parameters in Q0(A,c,HZ,Crel)Q_0(A,c,H_Z,C_{\mathrm{rel}}) are now fixed, and Q>Y/2Q>Y/2\to\infty. Hence, for sufficiently large XX, 𝖹(A)\mathsf Z(A) and (2.12) give 𝒞X(m)ν(ρ𝒵ν(HZ)eAλρ)21κ.\mathcal C_X(m) \leq \sum_\nu \left(\sum_{\rho\in\mathcal Z_\nu(H_Z)} \mathrm e^{-A\lambda_\rho}\right)^2 \leq1-\kappa.(2.35) Lemma 8 now yields R1(m)>0R_1(m)>0 outside the minor-arc exceptions and the large-qq subsets. Summing their bounds over the at most 2K2^K subsets proves the desired count: indeed, on every remaining target, R1(m)κ2𝔖(m)mκ𝔰04X,R_1(m)\geq\frac{\kappa}{2}\mathfrak S(m)m \geq\frac{\kappa\mathfrak s_0}{4}X, which dominates Pintz’s minor-arc bound |R2(m)|X/logX\lvert R_2(m)\rvert\leq X/\sqrt{\log X}. Hence R(m)=R1(m)+R2(m)>0R(m)=R_1(m)+R_2(m)>0 for sufficiently large XX. This proves (2.25) on [X/2,X][X/2,X], and dyadic summation proves it up to XX.

Finally put α=min{2/5,1/A}\alpha=\min\{2/5,1/A\}. Given ε>0\varepsilon>0, choose once and for all a fixed θ<α\theta<\alpha with αθ<ε\alpha-\theta<\varepsilon. Then X1θX1α+ε,X^{1-\theta}\leq X^{1-\alpha+\varepsilon}, which proves (2.26). No parameter is allowed to vary with XX in this endpoint passage. ◻

Remark 10 (Logical scope of the bridge). Theorem 9 is conditional only on the packet property 𝖹(A)\mathsf Z(A). It does not itself prove the conductor-uniform packet statement. The quantifier order in Definition 4 is used precisely after HZH_Z and CrelC_{\mathrm{rel}} have been fixed and before the final modulus threshold is imposed.

3. Coefficient stability of Zhao’s analytic inputs

εz>0\varepsilon_z>0 denotes Zhao’s auxiliary analytic error. For every fixed positive choice of εz\varepsilon_z, the source estimates below hold once the modulus exceeds a threshold depending on the fixed detector parameters; equivalently, the discarded source errors tend to zero as the modulus tends to infinity. The certificate first works at εz=0\varepsilon_z=0 with strict rational margins and then chooses one common positive value in (7.22).

Fix a cutoff Λ\Lambda, and decompose one class as Ti=ρ𝒵ieAmax(λρ,Λ),Ri=ρ𝒵i(eAλρeAmax(λρ,Λ)).\begin{split} T_i&=\sum_{\rho\in\mathcal Z_i} \mathrm e^{-A\max(\lambda_\rho,\Lambda)},\\ R_i&=\sum_{\rho\in\mathcal Z_i} \left(\mathrm e^{-A\lambda_\rho} -\mathrm e^{-A\max(\lambda_\rho,\Lambda)}\right). \end{split}(3.1) Then Si,A=Ri+TiS_{i,A}=R_i+T_i and 𝒬A=i(Ri+Ti)2.\mathcal Q_A=\sum_i(R_i+T_i)^2.(3.2) When the cutoff is variable, we write explicitly Ti(L)=ρ𝒵ieAmax(λρ,L).T_i(L)=\sum_{\rho\in\mathcal Z_i} \mathrm e^{-A\max(\lambda_\rho,L)}.

Lemma 11 (TT-stability). Suppose Zhao’s Lemma 3.1 gives jekmax(λj,Λ)(1+εz)𝒞(x,y,z,Λ,λ0)\sum_j \mathrm e^{-k\max(\lambda_j,\Lambda)} \leq(1+\varepsilon_z)\mathcal C(x,y,z,\Lambda,\lambda_0)(3.3) with kAk\leq A. Then TA(Λ)(1+εz)e(Ak)Λ𝒞(x,y,z,Λ,λ0).T_A(\Lambda) \leq (1+\varepsilon_z)\mathrm e^{-(A-k)\Lambda} \mathcal C(x,y,z,\Lambda,\lambda_0).(3.4)

Proof. For every λ\lambda, eAmax(λ,Λ)=e(Ak)max(λ,Λ)ekmax(λ,Λ)e(Ak)Λekmax(λ,Λ).\mathrm e^{-A\max(\lambda,\Lambda)} = \mathrm e^{-(A-k)\max(\lambda,\Lambda)} \mathrm e^{-k\max(\lambda,\Lambda)} \leq \mathrm e^{-(A-k)\Lambda} \mathrm e^{-k\max(\lambda,\Lambda)}. Sum and apply (3.3). ◻

Zhao’s fixed-class tail gives 100e2.22Λ100\mathrm e^{-2.22\Lambda} at A0=10/3A_0=10/3 for Λ5.2\Lambda\geq5.2. Reapplying Zhao’s Lemma 3.1 with the same detector parameters and using Lemma 11, at AA0A\leq A_0 we obtain the adjusted tail x=291000,y=831000,z=521000,k=2(13+3x+y+z)=833750,x=\frac{29}{1000},\quad y=\frac{83}{1000},\quad z=\frac{52}{1000},\quad k=2\left(\frac13+3x+y+z\right)=\frac{833}{750}, for which A0k=1667/750>2.22A_0-k=1667/750>2.22. Hence the adjusted tail is 100exp([2.22(103A)]Λ).100\exp\left( -\left[2.22-\left(\frac{10}{3}-A\right)\right]\Lambda \right).(3.5)

Lemma 12 (RR-stability). Zhao’s RR-comparison remains valid at coefficient AA provided the detector parameter satisfies x>max{2A,4λ05}.x> \max\left\{\frac2A,\frac{4\lambda_0}{5}\right\}.(3.6)

Proof. The kernel support is 0u2/x0\leq u\leq2/x. For d=Λλj0d=\Lambda-\lambda_j\geq0, Zhao compares eud1\mathrm e^{ud}-1 with eAd1\mathrm e^{Ad}-1. For 0uA0\leq u\leq A, deud1eAd1d\longmapsto\frac{\mathrm e^{ud}-1}{\mathrm e^{Ad}-1} is nonincreasing. Thus 2/xA2/x\leq A supplies the ratio monotonicity, while Zhao’s density inequality independently requires x4λ0/5x\geq4\lambda_0/5. Every certified detector is chosen strictly above both thresholds, which is also the strict support hypothesis in Pintz’s Theorem K. ◻

No interpolation in AA is used. Every detector selected numerically is substituted back into (3.4) and (3.6), and Zhao’s RR-formulas using outward rational arithmetic.

4. The positional fixed-class cap

Zhao uses the compactly supported kernel g(u)=(2u)3(4+6u+u2)30(0u2),g(u)=\frac{(2-u)^3(4+6u+u^2)}{30} \quad(0\leq u\leq2),(4.1) and g(u)=0g(u)=0 otherwise. Let G(s)=02g(u)esudu.G(s)=\int_0^2g(u)\mathrm e^{-su}\,du. For fixed x,λ0x,\lambda_0, define ψ(v)=G((vλ0)/x)G(λ0/x).\psi(v)= \frac{G((v-\lambda_0)/x)}{G(-\lambda_0/x)}.(4.2) Put fx(u)=xg(xu)f_x(u)=xg(xu), Fx(s)=G(s/x)F_x(s)=G(s/x), and ξ=ϕfx(0)2Fx(λ0)=8ϕx15G(λ0/x),ϕ=13.\xi= \frac{\phi f_x(0)}{2F_x(-\lambda_0)} =\frac{8\phi x}{15G(-\lambda_0/x)}, \qquad \phi=\frac13. For a fixed character class ii and detector level uu, write Ni(u)=#{ρ𝒵i:λρu},Di(u)=ρ𝒵iλρu(ψ(λρ)ψ(u)),Δ(u)=ψ(u)ξ.\begin{split} N_i(u)&=\#\{\,\rho\in\mathcal Z_i:\lambda_\rho\leq u\,\},\\ D_i(u)&=\sum_{\substack{\rho\in\mathcal Z_i\\\lambda_\rho\leq u}} \bigl(\psi(\lambda_\rho)-\psi(u)\bigr),\\ \Delta(u)&=\psi(u)-\xi. \end{split}(4.3) Since g0g\geq0, G(s)<0G'(s)<0, and hence ψ\psi is decreasing.

At a detector level uu, Zhao’s fixed-class inequality is (Δ(u)2εz)Ni(u)+2Δ(u)Di(u)1.(\Delta(u)^2-\varepsilon_z)N_i(u)+2\Delta(u)D_i(u)\leq1.(4.4)

Lemma 13 (Directed positional count). Take λ0=a\lambda_0=a in (4.2) and (4.3). Assume every zero in one fixed class has defect at least aa, and that the class contains zeros at positions at most v1,,vmuv_1,\ldots,v_m\leq u. Then Di(u)j=1m(ψ(vj)ψ(u)).D_i(u)\geq \sum_{j=1}^m\bigl(\psi(v_j)-\psi(u)\bigr).(4.5) Let BB be a nonnegative integer. If rational lower enclosures 0<ΔΔ(u)0<\Delta_-\leq\Delta(u) and 0DDi(u)0\leq D_-\leq D_i(u) satisfy (B+1)Δ2+2ΔD1>0,(B+1)\Delta_-^2+2\Delta_-D_- -1>0,(4.6) then, after taking εz>0\varepsilon_z>0 sufficiently small, Ni(u)B.N_i(u)\leq B.(4.7)

Proof. Every certified zero contributes at least ψ(vj)ψ(u)\psi(v_j)-\psi(u) because ψ\psi is decreasing. If Ni(u)B+1N_i(u)\geq B+1, the left side of (4.4) exceeds one by (4.6) for all sufficiently small εz>0\varepsilon_z>0, a contradiction. ◻

Definition 14 (Certified Abel cap). Fix an interval [a,b][0.92,Λ][a,b]\subseteq[0.92,\Lambda]. Choose a finite rational mesh Λ=w0<w1<<wL=5.2.\Lambda=w_0<w_1<\cdots<w_L=5.2. At every ww_\ell, set the detector base parameter λ0=a\lambda_0=a, use the same-class first-zero position bb, and choose a rational detector xx_\ell in Lemma 13 to certify Ni(w)BN_i(w_\ell)\leq B_\ell. Replace these raw bounds by the nondecreasing suffix-minimum envelope B̃=minjBj.\widetilde B_\ell=\min_{j\geq\ell}B_j. This remains valid because Ni(w)Ni(wj)BjN_i(w_\ell)\leq N_i(w_j)\leq B_j for jj\geq\ell. Relabel B̃\widetilde B_\ell as BB_\ell. The resulting directed cap is cA(Λ;a,b):=B0eAΛ+=1L(BB1)eAw1+100exp([2.22(103A)]5.2).\begin{split} c_A(\Lambda;a,b) :=\;&B_0\mathrm e^{-A\Lambda} +\sum_{\ell=1}^L(B_\ell-B_{\ell-1}) \mathrm e^{-Aw_{\ell-1}}\\ &+100\exp\left( -\left[2.22-\left(\frac{10}{3}-A\right)\right]5.2 \right). \end{split}(4.8) Every exponential in the certificate is replaced by an outward rational enclosure. The definition of cA(Λ)c_A^\infty(\Lambda) is identical, except that the same-class first-zero charge is omitted and every zero has lower defect Λ\Lambda.

Proposition 15 (Universal early-or-late cap). Let μi\mu_i be the first zero in a high class, and suppose μi0.92\mu_i\geq0.92. Set Λ=733500=1.466\Lambda=\frac{733}{500}=1.466(4.9) and use the partition 0.92,1,1.05,1.10,1.15,1.20,1.25,1.30,1.40,1.466.0.92,\ 1,\ 1.05,\ 1.10,\ 1.15,\ 1.20,\ 1.25,\ 1.30,\ 1.40,\ 1.466.(4.10) Let 𝒫\mathcal P denote the nine consecutive closed intervals determined by this list. For the caps of Definition 14, every high class satisfies TiCA(Λ):=max{cA(Λ),max[a,b]𝒫cA(Λ;a,b)}.T_i\leq C_A(\Lambda) := \max\left\{ c_A^\infty(\Lambda), \max_{[a,b]\in\mathcal P} c_A(\Lambda;a,b) \right\}.(4.11)

Proof. If μi[a,b]\mu_i\in[a,b], every zero in the class is at least aa, and the class itself supplies a zero no later than bb. Thus Lemma 13 applies with the positive charge ψ(b)ψ(u)\psi(b)-\psi(u). Abel summation of the resulting certified integer envelope gives cA(Λ;a,b)c_A(\Lambda;a,b). If μi>Λ\mu_i>\Lambda, the ordinary cap at lower defect Λ\Lambda applies. The cases in (4.10), together with this late case, exhaust every possible μi\mu_i. ◻

Remark 16 (Direction of information). The cumulative unrestricted zero count gives rankwise lower bounds for first zeros. It does not give an upper position for an individual class. In Proposition 15, the actual first zero selects its own interval; no upper position is inferred from a global count.

In (4.8), every unresolved jump is deliberately placed at the adverse left endpoint. The adaptive tolerance measures only the excess of this safe placement; it is not an unaccounted numerical error.

5. Aligned cap-and-mass majorization

The next elementary lemma is responsible for the decisive saving in the secondary branches.

Theorem 17 (Aligned cap-and-mass lemma). Let a1a20,b1b20,a_1\geq a_2\geq\cdots\geq0, \qquad b_1\geq b_2\geq\cdots\geq0, on a finite or countable index set. Suppose 0riai,iriU,0tibi,itiV.0\leq r_i\leq a_i,\quad \sum_i r_i\leq U, \qquad 0\leq t_i\leq b_i,\quad \sum_i t_i\leq V.(5.1) Define the left-greedy fills giR=min{ai,(Uj<iaj)+},giT=min{bi,(Vj<ibj)+}.\begin{split} g_i^R&=\min\left\{a_i, \left(U-\sum_{j<i}a_j\right)_+\right\},\\ g_i^T&=\min\left\{b_i, \left(V-\sum_{j<i}b_j\right)_+\right\}. \end{split}(5.2) Then i(ri+ti)2i(giR+giT)2.\sum_i(r_i+t_i)^2 \leq \sum_i(g_i^R+g_i^T)^2.(5.3) The right side is attained in the enlarged polytope (5.1).

Proof. We first prove the bilinear statement iritiigiRgiT.\sum_i r_it_i\leq\sum_i g_i^Rg_i^T.(5.4) Decreasing rearrangement preserves feasibility. Indeed, if the kk-th largest coordinate of rr exceeded aka_k, then at least kk original coordinates would exceed aka_k, while only the first k1k-1 cap positions can do so. The same holds for tt. The rearrangement inequality gives iritiiriti.\sum_i r_it_i\leq\sum_i r_i^\downarrow t_i^\downarrow. For every kk, ikrimin{U,ikai}=ikgiR.\sum_{i\leq k}r_i^\downarrow \leq\min\left\{U,\sum_{i\leq k}a_i\right\} =\sum_{i\leq k}g_i^R.(5.5) Abel summation against the decreasing nonnegative sequence tt^\downarrow gives iritiigiRti.\sum_i r_i^\downarrow t_i^\downarrow \leq\sum_i g_i^Rt_i^\downarrow. Apply the corresponding b,Vb,V prefix majorization against the decreasing sequence gRg^R to obtain (5.4).

Apply (5.4) to two copies of rr, two copies of tt, and to r,tr,t. Adding the resulting bounds proves (5.3). The greedy pair itself is feasible, so the bound is attained. The countable case follows by truncation, using the finite mass budgets. ◻

If an explicit finite prefix is followed by a repeated tail cap, the tail is included before taking the right-to-left suffix maximum. This produces the least nonincreasing coordinatewise majorant and avoids lowering a raw tail cap. Each residual mass is then filled by complete tail caps and at most one remainder.

6. Ordering the character classes

For a chosen unrestricted detector, write N(u)=#{ρ:λρu},D(u)=λρu(ψ(λρ)ψ(u)),N(u)=\#\{\,\rho:\lambda_\rho\leq u\,\}, \qquad D(u)=\sum_{\lambda_\rho\leq u} \bigl(\psi(\lambda_\rho)-\psi(u)\bigr), where the sums run over all packet classes. In the active branch, the at most two zeros certified at or below 0.920.92 are called the designated low zeros, and the classes containing them are the low classes. Every remaining nonempty class is a high class and has first defect at least 0.920.92. Order these high classes by their first defects.

In the active branch, let 0.92=u0<u1<<uJ=1.24,ujuj1=1200.0.92=u_0<u_1<\cdots<u_J=1.24, \qquad u_j-u_{j-1}=\frac1{200}.(6.1) The unrestricted form of Zhao’s Lemma 3.3 is (Δ2ξεz)N(u)+2ΔD(u)1ξ.(\Delta^2-\xi-\varepsilon_z)N(u)+2\Delta D(u)\leq1-\xi.(6.2) For an active box aλ1,1ba\leq\lambda_{1,1}\leq b, use aa for every adverse lower-defect or exponential estimate, and use bb only for the positive positional term.

If (6.2) certifies N(uj)BjN(u_j)\leq B_j, subtract the explicitly known low zeros. The number of additional high classes beginning by uju_j is then bounded by a nondecreasing integer envelope HjH_j. Ranks Hj1<iHjH_{j-1}<i\leq H_j may be assigned first-zero lower endpoint uj1u_{j-1}. Zhao’s fixed-class RR-formula supplies a raw cap at that endpoint. A right-to-left suffix maximum, formed together with the repeated uJu_J-tail, gives a decreasing coordinatewise majorant.

The unrestricted estimates give total budgets iTiVT,iRiVR.\sum_iT_i\leq V_T, \qquad \sum_iR_i\leq V_R.(6.3) Because Zhao introduces the unrestricted RR-formula under N3N\geq3, VRV_R is replaced by the maximum of that unrestricted bound and 2(e0.92AeAΛ)2\left(\mathrm e^{-0.92A}-\mathrm e^{-A\Lambda}\right)(6.4) to cover N2N\leq2. The ordered caps and (6.3) are now exactly the hypotheses of Theorem 17.

Allocation-compatible low classes

In the active range, Zhao’s alternatives allow at most two low zeros. There are exactly three allocations: allocationglobal known positionssame-class positionstwo classes, two zeros(b,0.92)(b)and(0.92)one class, one zero(b)(b)one class, two zeros(b,0.92)(b,0.92).\begin{array}{c|c|c} \text{allocation}&\text{global known positions} &\text{same-class positions}\\ \hline \text{two classes, two zeros}&(b,0.92)&(b)\ \text{and}\ (0.92)\\ \text{one class, one zero}&(b)&(b)\\ \text{one class, two zeros}&(b,0.92)&(b,0.92). \end{array}(6.5) The two-class case never assigns (b,0.92)(b,0.92) to a single class. Applying Lemma 13 separately to each identified low class gives its TT-cap; the compatible fixed RR-cap then gives the exact low-class square. The high-class square is bounded by Theorem 17.

Proposition 18 (Exhaustion of Zhao’s alternatives). Let HHcH\geq H_c. The following rows cover every cλ1,1Hc\leq\lambda_{1,1}\leq H. The middle column is the applicable consequence of Zhao’s Lemma 2.4; the last column records where the corresponding packet is certified.

range of λ1,1\lambda_{1,1} zero alternative certificate branch
[c,0.01][c,0.01] N(max{5.68,1.09log(1/λ1,1)})1N(\max\{5.68,1.09\log(1/\lambda_{1,1})\})\leq1 near-Siegel
[0.01,0.10][0.01,0.10] N(3.08)1N(3.08)\leq1 scalar
[0.10,0.30][0.10,0.30] N(1.58)1N(1.58)\leq1 scalar
[0.30,0.40][0.30,0.40] N(1.29)1N(1.29)\leq1 scalar
[0.40,0.60][0.40,0.60] N(0.92)2N(0.92)\leq2 active 6363 rows
[0.60,0.62][0.60,0.62] N(0.85)1N(0.85)\leq1 or N(0.91)2N(0.91)\leq2 secondary
[0.62,0.64][0.62,0.64] N(0.85)2N(0.85)\leq2 secondary
[0.64,0.68][0.64,0.68] N(0.74)2N(0.74)\leq2 secondary
[0.68,0.702][0.68,0.702] N(0.702)2N(0.702)\leq2 secondary
[0.702,H][0.702,H] λi,10.857\lambda_{i,1}\geq0.857 for i5i\geq5 aligned suffix

Proof. The zero alternatives are precisely Zhao’s Lemma 2.4, including its three unconditional final assertions. If c>Hc>H, the packet is empty and there is nothing to prove. Otherwise, intersect the displayed closed intervals with [c,H][c,H] and discard empty intersections; the resulting rows cover [c,H][c,H], with harmless overlaps at their endpoints. In the active interval, (6.5) exhausts the possible placements of the at most two low zeros. In every secondary interval the verifier checks each admissible allocation (m,k)(m,k), where mm is the number of known low zeros and kk the number of classes which contain them. The remaining cases are the four scalar rows and the near-Siegel majorant (7.18). ◻

7. The finite packet theorem

Theorem 19 (Computer-assisted packet theorem at A=33/10A=33/10). The coefficient-33/1033/10 packet property 𝖹(33/10)\mathsf Z(33/10) holds. More precisely, every discretized non-near-Siegel branch satisfies 𝒬33/10<198479200000=0.992395,\mathcal Q_{33/10} <\frac{198479}{200000}=0.992395,(7.1) while the near-Siegel branch has a positive gap depending only on the fixed lower zero defect cc.

The proof uses Zhao’s inequalities in the forms transcribed in Section 11, the branch exhaustion in Proposition 18, and the exact certificate described below.

Exact arithmetic model

Every terminating decimal used as an input denotes the exact corresponding rational number. All final comparisons are made in \mathbb Q. Displayed packet bounds are rounded upward, while displayed positive separations and slacks are rounded downward. For x0x\geq0, the verifier encloses ex=k=0mxkk!+Rm(x)\mathrm e^x=\sum_{k=0}^{m}\frac{x^k}{k!}+R_m(x) using the rational bound 0Rm(x)3xxm+1(m+1)!.0\leq R_m(x) \leq 3^{\lceil x\rceil}\frac{x^{m+1}}{(m+1)!}.(7.2) Negative arguments are handled by reciprocating a positive enclosure. For the kernel transform, write G(s)=k0(s)kmkk!,G(s)=\sum_{k\geq0}\frac{(-s)^km_k}{k!}, where the moments are the exact rationals mk=130(322k+1k+1402k+3k+3+202k+4k+42k+6k+6).m_k= \frac1{30}\left( \frac{32\,2^{k+1}}{k+1} -\frac{40\,2^{k+3}}{k+3} +\frac{20\,2^{k+4}}{k+4} -\frac{2^{k+6}}{k+6} \right).(7.3) The omitted series is bounded by 89j>m(2|s|)jj!.\frac89\sum_{j>m}\frac{(2|s|)^j}{j!}.(7.4) Floating point performs only coarse scans and one-dimensional searches for detector parameters. The selected decimal rational is accepted only after exact substitution into all support, positivity, and next-integer separation inequalities.

Active branches

The active interval is covered by [0.40,0.405],[0.405,0.41],[0.41,0.42],,[0.59,0.60].[0.40,0.405],\ [0.405,0.41],\ [0.41,0.42],\ldots,[0.59,0.60].(7.5) Each of the 2121 boxes is checked in all three allocations from (6.5), for 6363 directed rows.

The common high-class quantities are CA(Λ)0.066553314396,VT6.650837008243,VR0.455946922433.\begin{split} C_A(\Lambda)&\leq0.066553314396,\\ V_T&\leq6.650837008243,\\ V_R&\leq0.455946922433. \end{split}(7.6) The exhaustive cap split in Proposition 15 is recorded in Table 1.

Table 1: Universal high-class TT-cap case split. Every displayed decimal is rounded outward.
[a,b][a,b] cA(Λ;a,b)c_A(\Lambda;a,b) nodes minimum separation
[0.92,1][0.92,1] 0.0665533143960.066553314396 203 0.000019922993\geq0.000019922993
[1,1.05][1,1.05] 0.0657494018580.065749401858 195 0.000019546894\geq0.000019546894
[1.05,1.10][1.05,1.10] 0.0654345753060.065434575306 191 0.000018216157\geq0.000018216157
[1.10,1.15][1.10,1.15] 0.0651222106660.065122210666 185 0.000055196136\geq0.000055196136
[1.15,1.20][1.15,1.20] 0.0648189142590.064818914259 182 0.000004433480\geq0.000004433480
[1.20,1.25][1.20,1.25] 0.0645115145660.064511514566 177 0.000013802128\geq0.000013802128
[1.25,1.30][1.25,1.30] 0.0642142546580.064214254658 174 0.000007323372\geq0.000007323372
[1.30,1.40][1.30,1.40] 0.0642927235070.064292723507 170 0.000058651699\geq0.000058651699
[1.40,1.466][1.40,1.466] 0.0634493994400.063449399440 162 0.000038035052\geq0.000038035052
μi>1.466\mu_i>1.466 0.0651033936380.065103393638 173 0.000000293236\geq0.000000293236

The active maxima, separated by allocation, are recorded in Table 2.

Table 2: Maximal active packets, separated by low-zero allocation.
allocation packet upper bound slack
two classes/two zeros 0.9820405419930.982040541993 0.017959458007\geq0.017959458007
one class/one zero 0.7740227033910.774022703391 0.225977296609\geq0.225977296609
one class/two zeros 0.9613003153470.961300315347 0.038699684653\geq0.038699684653

All three maxima occur in the first half-box.

Secondary branches

If mm known low zeros occupy kk classes, the number of classes is at most Nzeros(mk),N_{\mathrm{zeros}}-(m-k),(7.7) because mkm-k excess zeros cannot begin new classes. The positional count therefore constructs a common ordered TT-cap list. In the same order, the RR-caps have the form (aR,,aRk,r2,r2,).(\underbrace{a_R,\ldots,a_R}_{k},r_2,r_2,\ldots).(7.8) Here NzerosN_{\mathrm{zeros}} is the certified unrestricted count N(u)N(u) at the branch’s separation level uu, r2r_2 is the fixed-class RR-cap when every defect is at least uu, and aRa_R is the compatible cap for a class containing designated low zeros.

For a secondary lower endpoint \ell, let r11fixedr_{11}^{\mathrm{fixed}} be the larger of (A.2) and (A.3) with prescribed lower endpoints (,)(\ell,\ell), and let r12fixedr_{12}^{\mathrm{fixed}} be the analogous cap with endpoints (,u)(\ell,u). Let U11U_{11} and U12U_{12} denote the maximum of, respectively, the corresponding unrestricted bound from (A.1) and the direct two-zero guard. The endpoint uu in the 1212-bound represents the worst possible next zero when only one low zero is known; an absent next zero only decreases the true sum. For allocations (m,k)=(1,1),(2,1),(2,2)(m,k)=(1,1),(2,1),(2,2), respectively, the compatible fixed cap and unrestricted budget are (r12fixed,U12),(r11fixed,U11),(r12fixed,U11).(r_{12}^{\mathrm{fixed}},U_{12}),\quad (r_{11}^{\mathrm{fixed}},U_{11}),\quad (r_{12}^{\mathrm{fixed}},U_{11}).(7.9) Applying Theorem 17 gives Table 3.

Table 3: Certified upper bounds for the full secondary packet.
branch (1,1)(1,1) (2,1)(2,1) (2,2)(2,2)
[0.60,0.62][0.60,0.62], N(0.91)2N(0.91)\leq2 0.9413357955260.941335795526 0.9793882575440.979388257544 0.9812396147970.981239614797
[0.60,0.62][0.60,0.62], N(0.85)1N(0.85)\leq1 0.9679629779970.967962977997 inadmissible inadmissible
[0.62,0.64][0.62,0.64], N(0.85)2N(0.85)\leq2 0.9398950625270.939895062527 0.9670387270550.967038727055 0.9723564299120.972356429912
[0.64,0.66][0.64,0.66] 0.9768680131400.976868013140 0.9879833792600.987983379260 0.9923945476940.992394547694
[0.66,0.68][0.66,0.68] 0.9508216755380.950821675538 0.9576091812210.957609181221 0.9623921754590.962392175459
[0.68,0.702][0.68,0.702] 0.9559982838910.955998283891 0.9566404964750.956640496475 0.9581013582310.958101358231

The limiting row is [0.64,0.66][0.64,0.66], (m,k)=(2,2)(m,k)=(2,2), with 𝒬33/100.992394547694,1𝒬33/100.007605452306.\mathcal Q_{33/10}\leq0.992394547694, \qquad 1-\mathcal Q_{33/10}\geq0.007605452306.(7.10)

Remark 20 (Necessity of alignment). If the T2T^2-energy and the R2+2RTR^2+2RT terms are maximized separately, the [0.64,0.66][0.64,0.66] rows (2,1)(2,1) and (2,2)(2,2) have negative slacks 0.005953317963-0.005953317963 and 0.010066017325-0.010066017325. Theorem 17 changes the latter full packet to 0.9923945476940.992394547694. Thus simply replacing 10/310/3 by 33/1033/10 in Zhao’s scalar table does not prove the result.

The final scalar and near-Siegel branches

For λ1,10.702\lambda_{1,1}\geq0.702, Zhao’s class separation allows at most four classes before the later level 0.8570.857. Use aligned cap lists t(v)=the certified fixed-class T-cap under μiv,r(v)=the corresponding fixed-class R-cap,t(v)=\text{the certified fixed-class \(T\)-cap under }\mu_i\geq v, \qquad r(v)=\text{the corresponding fixed-class \(R\)-cap}, after replacing each raw list, together with its repeated tail, by the coordinatewise suffix-maximum majorant. Thus 𝒕=(t(0.702),t(0.702),t(0.702),t(0.702),t(0.857),),𝒓=(r(0.702),r(0.702),r(0.702),r(0.702),r(0.857),).\begin{split} \mathbf t&=(t(0.702),t(0.702),t(0.702),t(0.702),t(0.857),\ldots),\\ \mathbf r&=(r(0.702),r(0.702),r(0.702),r(0.702),r(0.857),\ldots). \end{split}(7.11) The old separated scalar is 1.0024626573421.002462657342; the aligned packet is 𝒬33/100.981677779591.\mathcal Q_{33/10}\leq0.981677779591.(7.12) The remaining distinguished-zero branches are listed in Table 4.

Table 4: Aligned suffix and distinguished-zero scalar branches.
branch packet upper bound slack
[0.702,H][0.702,H] (aligned) 0.9816777795910.981677779591 0.018322220409\geq0.018322220409
[0.01,0.10][0.01,0.10] 0.9467411436460.946741143646 0.053258856354\geq0.053258856354
[0.10,0.30][0.10,0.30] 0.8840755251380.884075525138 0.115924474862\geq0.115924474862
[0.30,0.40][0.30,0.40] 0.9747988969030.974798896903 0.025201103097\geq0.025201103097

For the near-Siegel branch, set bA=2.22(103A).b_A=2.22-\left(\frac{10}{3}-A\right). Write L=Λ(λ)=max{5.68,1.09log1λ},𝒯Aall(L)=iTi(L).L=\Lambda(\lambda) =\max\left\{5.68,\ 1.09\log\frac1\lambda\right\}, \qquad \mathcal T_A^{\mathrm{all}}(L)=\sum_i T_i(L). If cλ=λ1,10.01c\leq\lambda=\lambda_{1,1}\leq0.01, Zhao’s first-zero alternative gives N(L)1.N(L)\leq1. Indeed, Lmax{5.68,1.09log1c}=HcH,L\leq \max\left\{5.68,\ 1.09\log\frac1c\right\} =H_c\leq H, so this cutoff lies inside the packet rectangle. Consequently, in the decomposition (3.1), R1=eAλeAL,Ri=0(i2).R_1=\mathrm e^{-A\lambda}-\mathrm e^{-AL}, \qquad R_i=0\quad(i\geq2).(7.13) It follows that 𝒬A=R12+2R1T1(L)+iTi(L)2e2Aλ+(maxiTi(L))(2+iTi(L)).\begin{split} \mathcal Q_A &=R_1^2+2R_1T_1(L)+\sum_iT_i(L)^2\\ &\leq \mathrm e^{-2A\lambda} +\left(\max_iT_i(L)\right) \left(2+\sum_iT_i(L)\right). \end{split}(7.14)

For the fixed-class detector x=291000,y=831000,z=521000,k=833750,x=\frac{29}{1000},\qquad y=\frac{83}{1000},\qquad z=\frac{52}{1000},\qquad k=\frac{833}{750}, the exact rational enclosure used by the verifier gives 𝒞(x,y,z,5.2,0)<99.729.\mathcal C(x,y,z,5.2,0) <99.729.(7.15) For λ0=0\lambda_0=0, the source kernel simplifies to (t,L,0)=ϕ21e2LtL+(1eLtL)2.\mathcal B(t,L,0) =\frac{\phi}{2}\frac{1-\mathrm e^{-2Lt}}L +\left(\frac{1-\mathrm e^{-Lt}}L\right)^2. Both terms are nonincreasing in L>0L>0, since 1eaLL=0aeLudu\frac{1-\mathrm e^{-aL}}L=\int_0^a\mathrm e^{-Lu}\,du is nonincreasing. Thus 𝒞(x,y,z,L,0)\mathcal C(x,y,z,L,0) is nonincreasing in its cutoff. Moreover, (1+103)99.729=99.828729<100,AkbA=1375>0.(1+10^{-3})\,99.729=99.828729<100, \qquad A-k-b_A=\frac1{375}>0. Hence, for 0<εz1030<\varepsilon_z\leq10^{-3}, Zhao’s fixed-class estimate and the coefficient shift of Lemma 11 give maxiTi(L)100ebAL.\max_iT_i(L)\leq100\mathrm e^{-b_AL}.(7.16) The unrestricted exact enclosure, with the same source-error allowance, gives 𝒯Aall(L)𝒯Aall(5.68)<0.016308621213<150.\mathcal T_A^{\mathrm{all}}(L) \leq\mathcal T_A^{\mathrm{all}}(5.68) <0.016308621213<\frac1{50}.(7.17) Substitution in (7.14) proves 𝒬Ae2Aλ+202ebAΛ(λ).\mathcal Q_A \leq \mathrm e^{-2A\lambda} +202\mathrm e^{-b_A\Lambda(\lambda)}.(7.18)

The exact verifier establishes bA=16475,1.09bA=44691875>2,d0:=2A2A2+202200=5481110000>0,e2A/200+202e5.68bA0.968353823265<1.\begin{gathered} b_A=\frac{164}{75},\qquad 1.09b_A=\frac{4469}{1875}>2,\\ d_0:=2A-\frac{2A^2+202}{200} =\frac{54811}{10000}>0,\\ \mathrm e^{-2A/200}+202\mathrm e^{-5.68b_A} \leq0.968353823265<1. \end{gathered}(7.19) For 0<λ1/2000<\lambda\leq1/200, L1.09log(1/λ)L\geq1.09\log(1/\lambda), so e2Aλ12Aλ+2A2λ2,λ1.09bAλ2,\mathrm e^{-2A\lambda} \leq1-2A\lambda+2A^2\lambda^2, \qquad \lambda^{1.09b_A}\leq\lambda^2, give 𝒬A1d0λ.\mathcal Q_A\leq1-d_0\lambda.(7.20) On 1/200λ1/1001/200\leq\lambda\leq1/100, no monotonicity assertion is needed: termwise, e2Aλe2A/200,ebALe5.68bA,\mathrm e^{-2A\lambda}\leq\mathrm e^{-2A/200}, \qquad \mathrm e^{-b_AL}\leq\mathrm e^{-5.68b_A}, and the last line of (7.19) applies. Thus the explicit fixed-cc gap κNS(33/10,c):=min{5481110000min(c,1200),6329235347200000000000}>0\kappa_{\mathrm{NS}}(33/10,c) := \min\left\{ \frac{54811}{10000}\min\left(c,\frac1{200}\right), \ \frac{6329235347}{200000000000} \right\} >0(7.21) is valid. No uniformity as c0c\downarrow0 is claimed; the exceptional-real-zero alternative is removed in Theorem 9 before this estimate is used.

Absorbing the auxiliary error

The certificate evaluates the limiting εz=0\varepsilon_z=0 formulas only after proving a finite collection of strict separations: Ak>0,Δ2ξ>0,(B+1)(Δ2ξ)+2ΔD(1ξ)>0,(B+1)Δ2+2ΔD1>0,1𝒬Aupper>0.\begin{gathered} A-k>0,\qquad \Delta^2-\xi>0,\\ (B+1)(\Delta^2-\xi)+2\Delta D-(1-\xi)>0,\\ (B+1)\Delta^2+2\Delta D-1>0,\\ 1-\mathcal Q_A^{\mathrm{upper}}>0. \end{gathered}(7.22) Every bound is continuous in εz\varepsilon_z, with denominators separated from zero. Since the list is finite, one may choose a common εz*>0\varepsilon_z^*>0 for which every non-near-Siegel row remains valid. Choose once and for all 0<εzmin{εz*,103},0<\varepsilon_z\leq\min\left\{\varepsilon_z^*,10^{-3}\right\}, and only then take the maximum of the finitely many modulus thresholds. This same positive source-error parameter is used in the near-Siegel bounds (7.16) and (7.17). Since 1250=0.004<0.007605452306,\frac1{250}=0.004<0.007605452306, the non-near-Siegel branches retain gap 1/2501/250. Together with the near-Siegel gap κNS(A,c)>0\kappa_{\mathrm{NS}}(A,c)>0, this gives 𝒬33/101min{1250,κNS(33/10,c)}.\mathcal Q_{33/10} \leq1-\min\left\{\frac1{250}, \kappa_{\mathrm{NS}}(33/10,c)\right\}.(7.23) The finite detector levels and the tail estimate (A.6) are independent of the outer rectangle height HH. Hence (7.23) is a common zero-source gap for every HHcH\geq H_c, and the strict separations in (7.22) provide the common perturbation tolerance required by Proposition 5. Applying that proposition for an arbitrary fixed C1C\geq1 moves all conductor dependence into Q0(33/10,c,H,C)Q_0(33/10,c,H,C). This is precisely the quantifier order in Definition 4, and proves Theorem 19.

8. Proof of the main theorem

Proof of Theorem 1. By Theorem 19, the packet property 𝖹(33/10)\mathsf Z(33/10) holds. Apply Theorem 9: E(X)εX110/33+ε=X23/33+ε.E(X)\ll_\varepsilon X^{1-10/33+\varepsilon} =X^{23/33+\varepsilon}.(8.1) Let γ=69697100000.\gamma=\frac{69697}{100000}. The exact margins are γ2333=13300000>0,11γ3310=1303030>0.\gamma-\frac{23}{33}=\frac1{3300000}>0, \qquad \frac1{1-\gamma}-\frac{33}{10} =\frac1{303030}>0.(8.2) This is Theorem 1. Choose the ε\varepsilon in (8.1) smaller than 1/33000001/3300000. Then E(X)XγE(X)\ll X^\gamma, proving Corollary 2. ◻

9. Reproducibility and source correspondence

Verifier architecture

The release separates parameter search, exact verification, witness export, and witness checking. Table 5 records the proof-to-code correspondence.

Table 5: Analytic-to-code correspondence.
Analytic object Implementation
release integrity and orchestration verify_release.py
active 6363-row packet zhao_069697_full_active_audit.py
independent active/scalar optimization check export_active_scalar_witness.py, check_active_scalar_witness.py
secondary aligned construction zhao_secondary_aligned_trial.py
independent secondary optimization check export_secondary_aligned_witness.py, check_secondary_aligned_witness.py
final scalar rows zhao_secondary_scalar_audit.py
near-Siegel branch zhao_near_siegel_exact.py
early-or-late cap zhao_high_class_positional_trial.py
aligned majorization and tail fill zhao_aligned_rt_staircase.py
same-class positional caps zhao_positional_fixed_density.py
outward rational kernel arithmetic zhao_packet_certificate.py

Commands

From the project root, the complete manifest-driven release check is

python3 -u \
  preprints/goldbach-exception-069697/verify_release.py

A fast integrity-only pass is

python3 -u \
  preprints/goldbach-exception-069697/verify_release.py --hash-only

The three standard-library witness checks can also be run directly:

python3 -u experiments/check_active_scalar_witness.py \
  preprints/goldbach-exception-069697/active-scalar-witness.json

python3 -u experiments/check_secondary_aligned_witness.py \
  preprints/goldbach-exception-069697/secondary-aligned-witness.json

python3 -u experiments/zhao_near_siegel_exact.py \
  --witness preprints/goldbach-exception-069697/\
near-siegel-witness.json

The exact primary command-line arguments are stored in certificate-manifest.json, rather than duplicated in the paper. The entry points refuse to run when sys.flags.optimize is nonzero: the verifier must not be invoked with python -O, because Python optimization removes assertions used as proof guards.

Frozen release identifiers

The machine-readable file certificate-manifest.json records the exact constants, the complete source dependency closure, every theorem-critical command and argument, expected row counts, success markers, and SHA-256 digests of the exact standard output. The companion MANIFEST.sha256 identifies the manuscript and all release artifacts. Keeping these identifiers in machine-readable files avoids an unaudited discrepancy between a printed hash table and the executable release.

The cold runs were performed on macOS arm64 with Python 3.9.6 and NumPy 2.0.2. NumPy is used for detector search, but every accepted detector is substituted into outward rational inequalities. The active/scalar, secondary, and near-Siegel witness checkers use only the Python standard library.

Verification boundary

The finite witnesses contain the exact ordered class coordinates, raw R/TR/T caps, suffix majorants, mass budgets, greedy fills, objectives, and slacks for all 1616 rows in Table 3, all 6363 active rows, and all four scalar rows. Their standard-library checkers import none of the detector, staircase, interval-kernel, or optimization modules. They first verify that the witness has exactly the theorem row cover, then recompute the class-count recurrences, majorants, fills, and objectives from the exported boundary data. The active/scalar checker also executes an adversarial upward-tail test; both finite-row checkers reject a missing row. The near-Siegel checker independently recomputes the rational enclosures and the gap in (7.21).

The finite-row checkers deliberately treat the analytic derivation of the raw caps, integer count inequalities, and mass budgets from Zhao’s estimates as their trusted boundary. That derivation is specified in Section 3, Section 4, Section 6, and Section 11 and checked by the primary rational verifier; it is not made independent merely by orchestration through verify_release.py. Likewise, the computer certificate does not replace the source-level argument in Proposition 5 and Theorem 9. These boundaries are recorded so that an independent specialist audit can target the remaining analytic correspondence rather than repeat the elementary polytope calculation.

10. Concluding remarks

The gain from 7/107/10 to 0.696970.69697 is not obtained from a new density theorem. It comes from preserving dependence which is lost when character classes or the R/TR/T decomposition are decoupled. This distinction matters: the old separated estimates actually cross one in two branches at A=33/10A=33/10, whereas the aligned common-order polytope remains below one with visible room.

The next substantial improvement is unlikely to come from a still finer scalar mesh alone. It would require either a stronger within-class two-zero density statement, a new restriction on cross-class concentration, or a different use of the common class geometry. Eliminating the exceptional set altogether remains a qualitatively different problem.

11. Analytic formulas used by the certificate

This appendix records the limiting forms of the Zhao inequalities which are evaluated by the certificate. It fixes the direction of every endpoint substitution and makes the dependence on AA explicit.

Fix x>0x>0, 0λ0<Λ0\leq\lambda_0<\Lambda, and set Fx(s)=G(s/x),ψ(v)=Fx(vλ0)Fx(λ0),ξ=ϕxg(0)2Fx(λ0),ϕ=13.F_x(s)=G(s/x),\qquad \psi(v)=\frac{F_x(v-\lambda_0)}{F_x(-\lambda_0)}, \qquad \xi=\frac{\phi xg(0)}{2F_x(-\lambda_0)},\quad \phi=\frac13. Assume Δ=ψ(Λ)ξ>0.\Delta=\psi(\Lambda)-\xi>0. Let wA(v)=eAveAΛ,0vΛ,w_A(v)=\mathrm e^{-Av}-\mathrm e^{-A\Lambda}, \qquad 0\leq v\leq\Lambda, and suppose m{1,2}m\in\{1,2\} zeros have prescribed lower endpoints λ1,,λmλ*<Λ\lambda_1,\ldots,\lambda_m\leq\lambda^*<\Lambda, while every later zero satisfies λjλ*\lambda_j\geq\lambda^*.

The unrestricted RR-bound used in the certificate is RA(Λ)j=1mwA(λj)+wA(λ*)ψ(λ*)ψ(Λ){1ξ2Δj=1m(ψ(λj)ψ(Λ))}.\begin{split} R_A(\Lambda)\leq& \sum_{j=1}^m w_A(\lambda_j)\\ &+ \frac{w_A(\lambda^*)} {\psi(\lambda^*)-\psi(\Lambda)} \left\{ \frac{1-\xi}{2\Delta} -\sum_{j=1}^{m} \bigl(\psi(\lambda_j)-\psi(\Lambda)\bigr) \right\}. \end{split}(A.1) Inside one fixed class, choose an integer N*2N^*\geq2. In the alternative NN*N\leq N^*, RA(Λ)j=1mwA(λj)+(N*m)wA(λ*).R_A(\Lambda) \leq \sum_{j=1}^m w_A(\lambda_j) +(N^*-m)w_A(\lambda^*).(A.2) In the alternative NN*+1N\geq N^*+1, RA(Λ)j=1mwA(λj)+wA(λ*)ψ(λ*)ψ(Λ){1(N*+1)Δ22Δj=1m(ψ(λj)ψ(Λ))}.\begin{split} R_A(\Lambda)\leq& \sum_{j=1}^m w_A(\lambda_j)\\ &+ \frac{w_A(\lambda^*)} {\psi(\lambda^*)-\psi(\Lambda)} \left\{ \frac{1-(N^*+1)\Delta^2}{2\Delta} -\sum_{j=1}^{m} \bigl(\psi(\lambda_j)-\psi(\Lambda)\bigr) \right\}. \end{split}(A.3) At positive εz\varepsilon_z, the numerator in the final fraction is 1(N*+1)(Δ2εz).1-(N^*+1)(\Delta^2-\varepsilon_z).(A.4) The fixed-class cap is the larger of (A.2) and (A.3); the unrestricted mass uses (A.1) and the direct small-NN guard.

Write N=N(Λ)=#{j:λjΛ},D=D(Λ)=λjΛ(ψ(λj)ψ(Λ)).N=N(\Lambda)=\#\{j:\lambda_j\leq\Lambda\}, \qquad D=D(\Lambda)= \sum_{\lambda_j\leq\Lambda} \bigl(\psi(\lambda_j)-\psi(\Lambda)\bigr). The zero-count inequalities are, respectively, (Δ2ξεz)N+2ΔD1ξ,unrestricted,(Δ2εz)N+2ΔD1,one fixed class.\begin{split} (\Delta^2-\xi-\varepsilon_z)N+2\Delta D&\leq1-\xi, &&\text{unrestricted},\\ (\Delta^2-\varepsilon_z)N+2\Delta D&\leq1, &&\text{one fixed class}. \end{split}(A.5) The positive DD-term is retained only when the corresponding zeros are known to lie in that same class. Global known positions are used only in the unrestricted line.

For completeness, define Zhao’s auxiliary function (with continuous extension at removable singularities) by (t,λ,λ0):=ϕ21e2(λ+λ0)tλ+λ0+1eλtλ(λ+λ0)+e2(λ+λ0)teλt(λ+λ0)(λ+2λ0),\begin{split} \mathcal B(t,\lambda,\lambda_0) :=\;&\frac{\phi}{2} \frac{1-\mathrm e^{-2(\lambda+\lambda_0)t}}{\lambda+\lambda_0}\\ &+\frac{1-\mathrm e^{-\lambda t}}{\lambda(\lambda+\lambda_0)} +\frac{\mathrm e^{-2(\lambda+\lambda_0)t}-\mathrm e^{-\lambda t}} {(\lambda+\lambda_0)(\lambda+2\lambda_0)}, \end{split} and 𝒞(x,y,z,Λ,λ0)=1xz(12+ϕ+xy)(ϕ+x+y,Λ,λ0)(z,Λ,λ0).\mathcal C(x,y,z,\Lambda,\lambda_0) = \frac1{xz}\left(\frac12+\frac{\phi+x}{y}\right) \sqrt{ \mathcal B(\phi+x+y,\Lambda,\lambda_0) \mathcal B(z,\Lambda,\lambda_0)}. Finally, Zhao’s Lemma 3.1 supplies jekmax(λj,Λ)(1+εz)𝒞(x,y,z,Λ,λ0),\sum_j\mathrm e^{-k\max(\lambda_j,\Lambda)} \leq(1+\varepsilon_z)\mathcal C(x,y,z,\Lambda,\lambda_0),(A.6) with k={2(ϕ+3x+y+z),fixed class,2(2ϕ+3x+y+z),unrestricted union.k= \begin{cases} 2(\phi+3x+y+z),&\text{fixed class},\\ 2(2\phi+3x+y+z),&\text{unrestricted union}. \end{cases}(A.7) The smaller coefficient is never used for an unrestricted mass. Lemma 11 converts (A.6) to coefficient AA.

12. Tail filling and branch inventory

Suppose the explicit cap prefix is followed by constant tail caps α,β>0\alpha,\beta>0, and the residual masses after the prefix are R=qα+ρ,T=pβ+σ,0ρ<α,0σ<β.R=q\alpha+\rho,\qquad T=p\beta+\sigma, \qquad 0\leq\rho<\alpha,\quad0\leq\sigma<\beta. The exact tail contribution to the aligned cross term is Ctail={qαβ+ρσ,q=p,qαβ+ρβ,q<p,pαβ+ασ,p<q.C_{\mathrm{tail}}= \begin{cases} q\alpha\beta+\rho\sigma,&q=p,\\ q\alpha\beta+\rho\beta,&q<p,\\ p\alpha\beta+\alpha\sigma,&p<q. \end{cases}(B.1) This is obtained by writing out the two left-greedy fills. The same construction simultaneously gives the two square terms.

For raw listed caps c1,,cKc_1,\ldots,c_K and repeated tail dd, the decreasing coordinatewise majorant is formed as (c̃1,,c̃K,d̃)=suffixmax(c1,,cK,d).(\widetilde c_1,\ldots,\widetilde c_K,\widetilde d) = \operatorname{suffixmax}(c_1,\ldots,c_K,d).(B.2) The tail must be inserted before this operation; replacing it by the minimum of the last listed cap and dd can lower a valid raw cap.

The complete branch inventory checked by the manifest-driven release is: active directed rows63,secondary aligned rows16,scalar rows4,near-Siegel analytic branch1.\begin{array}{lr} \text{active directed rows}&63,\\ \text{secondary aligned rows}&16,\\ \text{scalar rows}&4,\\ \text{near-Siegel analytic branch}&1. \end{array}(B.3) The active driver asserts the 2121-box cover and all three low-zero allocations. The secondary theorem command must explicitly request the full scope, as recorded in Section 9.

99

H. Davenport, Multiplicative Number Theory, 3rd ed., revised by H. L. Montgomery, Graduate Texts in Mathematics 74, Springer, 2000.

J. Pintz, A new explicit formula in the additive theory of primes with applications II. The exceptional set in Goldbach’s problem, arXiv:1804.09084v2 (2018). https://arxiv.org/abs/1804.09084v2.

J. Pintz, A new explicit formula in the additive theory of primes with applications I. The explicit formula for the Goldbach problem and the generalized twin prime problem, Acta Arith. 210 (2023), no. 1, 53–94. https://doi.org/10.4064/aa220728-31-3.

G. Zhao, The exceptional set of Goldbach problem and Linnik’s constant, arXiv:2511.05631v2 (2026). https://arxiv.org/abs/2511.05631v2.