18 July 2026
Let denote the number of even integers not exceeding 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 and hence . 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 - and -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 , exact rational interval arithmetic proves, in every discretized non-near-Siegel branch, the directed limiting value is at most , with slack at least . 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 The exact inequality 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.
Write Pintz proved for sufficiently large (Pintz 2018). Zhao subsequently obtained (1.1) and, by the same zero-density architecture, the Linnik-type bound (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.
Inside a fixed relative-conductor class, the first zero of that class contributes a positive -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.
The unrestricted inequality orders the possible character classes by their first zeros. This gives rankwise -caps, while the unrestricted estimates give total - and -mass budgets.
The two cap sequences refer to the same ordered classes. They must therefore remain coupled. An exact aligned majorization lemma maximizes and prevents the loss created by separately maximizing the square and cross terms.
The coefficient in Zhao’s packet is . We work at (1.2) This is a strengthening: lowering increases every exponential zero weight.
Theorem 1 (Main theorem). Let be the binary Goldbach exceptional set defined above. For every , (1.3) The implicit constant is ineffective.
Corollary 2. One has (1.4)
The exact improvement in the base exponent over (1.1) is (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.
Let be a modulus and let be any finite family of nonempty, pairwise-disjoint sets of Dirichlet characters modulo . We call their union the relevant characters and call the packet classes. For fixed truncation height , let be the multiset of zeros , counted with multiplicity, of the primitive -functions inducing the characters in which satisfy Set and label defects within a nonempty class and the classes themselves by Thus is the distinguished smallest defect and is the first defect of class . Define the quadratic packet (2.1)
Definition 4 (Coefficient- packet property). For fixed , write for the following assertion. For , put For every there exists such that, for every and , there exists with the following property. For every modulus and every finite family of nonempty, pairwise-disjoint character sets modulo , if the associated zero multisets satisfy (2.2) for every , then (2.3)
Proposition 5 (Separation of defect and conductor parameters). Fix and . Suppose that the limiting coefficient- packet calculation obtained from Zhao’s finite argument closes, at zero source error, with a gap , uniformly for every . Here uniformity means that all contributions above the finite detector levels are controlled by -independent tail majorants and that the finite operations admit a common perturbation tolerance . Then the analytic estimates underlying that calculation may be made uniform for every and every fixed relative-conductor bound in the precise order (2.4) In particular, one may take the final packet gap , independently of and ; those parameters affect only .
Proof. We distinguish throughout the target perturbation tolerated by the finite packet calculation from the source conductor exponent in Pintz’s density theorems. They are not the same parameter.
The relative-conductor hypothesis is used to place one class in Zhao’s alternative. In that alternative, Lemma 3.1 uses (2.5) and the fixed-class form of Lemma 3.3 is (2.6) After this alternative has been selected, neither (2.5) and (2.6), nor Zhao’s displayed constant contains the numerical value of . The same is true of Zhao’s fixed-class integer consequences, Abel summation, the -decomposition, and the two fixed-class -alternatives. Thus 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 . Its common target tolerance is such that perturbing all source inequalities by at most changes the final packet ceiling by less than . This choice precedes and .
Now fix . At the source of Zhao’s fixed-class estimates, Pintz’s Theorems D and I are applied under (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 (2.8) in particular, the multiplier in Theorem D is height-dependent. Choose sufficiently small that every -term, after its finitely many uses in the packet calculation, consumes less than .
Only now fix . If (2.9) then implies (2.7). Enlarge until all the -terms in (2.8), together with the fixed-height zero-labeling and Deuring–Heilbronn errors, consume less than . The resulting finite packet ceiling is at most .
For fixed , changing the exponential coefficient affects only fixed numerical weights and detector parameters. None of the limiting conductor reductions introduces the numerical value of . 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 is fixed as ; the statement would be false with no further information if were allowed to grow.
Lemma 7 (Conjugation and common-modulus domination). Let , , , and . Let 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 , with belonging to a primitive character of conductor , and suppose (2.10) Put . After conjugating the second zero variable, let be the set of distinct primitive characters occurring in either coordinate, induce them to modulus , and partition them into the connected components generated by (2.11) Fix any for which the selected and conjugated zeros lie in the Zhao rectangle If denotes the full zero multiset of the characters in component in that rectangle, and , then (2.12) Every component has the fixed within-class bound (2.13) where (and the assertion is void when ).
Proof. If , then . The involution (2.14) preserves , height, conductor, multiplicity, and the condition . It converts (2.10) bijectively into (2.11). This is the reindexing between Pintz’s (2.13) and (2.36)–(2.37).
Since , one has (2.15) If has conductor dividing , its induction satisfies (2.16) The primitive -function inducing is , so the primitive packet zero multiset is unchanged by definition. The additional Euler-factor zeros of the imprimitive function lie on and do not enter that multiset. Moreover, (2.17)
Conductor submultiplicativity along a simple path of at most edges gives (2.13). For and , (2.15) gives (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 only adds nonnegative terms, which proves (2.12). ◻
Lemma 8 (Explicit-formula positivity ledger). Fix Pintz’s explicit-formula parameter , and let be fixed truncation parameters. Let be an upper bound for the number of selected zeros and let be the small-singular-series cutoff in Pintz’s (2.12). Set (2.19) For an even , let be the retained zero–zero sum in Pintz’s (2.21), with its original -weights and with the pole–pole pair removed. Assume that no retained pole–zero or zero–pole pair occurs. Then, for all sufficiently large , (2.20) where . Consequently, if for a fixed , then the parameters may be chosen in the order (2.21) so that (2.22)
Proof. For even , the Euler product in Pintz’s (2.9) gives . The pole–pole term in Pintz’s Theorem A is exactly . For every selected non-pole–pole singularity pair, Pintz’s beta-integral estimate (2.20) gives, uniformly over the fixed rectangle, (2.23) Indeed, if , then which is the precise use of .
By hypothesis the retained non-pole terms are exactly the zero–zero terms counted by . There are at most non-pole–pole pairs. For every pair failing one of Pintz’s three retention conditions, his (2.12) gives ; after increasing , 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 gives the final line of (2.20).
Choose so that the first two explicit-formula terms contribute at most each. The log-free density bound then fixes . Choose so that its term is at most . Finally enlarge until the -term is at most and . Since (2.20) yields (2.22). ◻
Theorem 9 (Coefficient-stable bridge). Assume . If (2.24) then (2.25) Consequently, for every , (2.26) In particular, if , then
Proof. It is enough to count exceptions in . Fix, independently of , (2.27) where is the small absolute upper bound in Pintz’s Theorem A. Set Pintz’s preliminary short-interval parameter , and apply the explicit formula with (2.28) Its hypotheses hold because and it supplies (2.29) The fact that this one works simultaneously for every , 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 (2.30) targets.
Invoke Pintz’s Theorem B with . If its exceptional real zero exists, then because . 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 such that every relevant bounded-height zero satisfies (2.31) The constant 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 , Thus taking below affects only , not ; there is no circular dependence.
Set , and let be furnished by , decreased if necessary so that . Choose in the order (2.21), decreasing further so that . Write (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 which bounds both quantities (even if the selected set is empty). These are fixed numbers. If one writes , then ; 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 subsets according to which selected primitive conductors divide ; see his (2.26). For one subset let be their least common multiple, with the convention , and put . For the empty subset the retained zero sum is empty. If , Pintz’s divisibility count (2.29) gives targets in that subset. We may therefore suppose and form the modulus in Lemma 7.
The retained critical sum contains no pole–zero pair once is large. Indeed, such a pair would force the zero character to have primitive conductor . There are only finitely many such primitive -functions, and none vanishes at ; their bounded-height zeros eventually lie outside . 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 Thus the selected zeros lie in a fixed Zhao rectangle with (2.33) Moreover, for all sufficiently large , and (2.31) gives (2.34) The same bound holds for every additional zero of the selected primitive characters in this full Zhao rectangle. In particular, , so the moving cutoff required in the near-Siegel branch is contained in the rectangle before is invoked.
All parameters in are now fixed, and . Hence, for sufficiently large , and (2.12) give (2.35) Lemma 8 now yields outside the minor-arc exceptions and the large- subsets. Summing their bounds over the at most subsets proves the desired count: indeed, on every remaining target, which dominates Pintz’s minor-arc bound . Hence for sufficiently large . This proves (2.25) on , and dyadic summation proves it up to .
Finally put . Given , choose once and for all a fixed with . Then which proves (2.26). No parameter is allowed to vary with in this endpoint passage. ◻
Remark 10 (Logical scope of the bridge). Theorem 9 is conditional only on the packet property . It does not itself prove the conductor-uniform packet statement. The quantifier order in Definition 4 is used precisely after and have been fixed and before the final modulus threshold is imposed.
denotes Zhao’s auxiliary analytic error. For every fixed positive choice of , 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 with strict rational margins and then chooses one common positive value in (7.22).
Fix a cutoff , and decompose one class as (3.1) Then and (3.2) When the cutoff is variable, we write explicitly
Lemma 11 (-stability). Suppose Zhao’s Lemma 3.1 gives (3.3) with . Then (3.4)
Proof. For every , Sum and apply (3.3). ◻
Zhao’s fixed-class tail gives at for . Reapplying Zhao’s Lemma 3.1 with the same detector parameters and using Lemma 11, at we obtain the adjusted tail for which . Hence the adjusted tail is (3.5)
Lemma 12 (-stability). Zhao’s -comparison remains valid at coefficient provided the detector parameter satisfies (3.6)
Proof. The kernel support is . For , Zhao compares with . For , is nonincreasing. Thus supplies the ratio monotonicity, while Zhao’s density inequality independently requires . Every certified detector is chosen strictly above both thresholds, which is also the strict support hypothesis in Pintz’s Theorem K. ◻
No interpolation in is used. Every detector selected numerically is substituted back into (3.4) and (3.6), and Zhao’s -formulas using outward rational arithmetic.
Zhao uses the compactly supported kernel (4.1) and otherwise. Let For fixed , define (4.2) Put , , and For a fixed character class and detector level , write (4.3) Since , , and hence is decreasing.
At a detector level , Zhao’s fixed-class inequality is (4.4)
Lemma 13 (Directed positional count). Take in (4.2) and (4.3). Assume every zero in one fixed class has defect at least , and that the class contains zeros at positions at most . Then (4.5) Let be a nonnegative integer. If rational lower enclosures and satisfy (4.6) then, after taking sufficiently small, (4.7)
Proof. Every certified zero contributes at least because is decreasing. If , the left side of (4.4) exceeds one by (4.6) for all sufficiently small , a contradiction. ◻
Definition 14 (Certified Abel cap). Fix an interval . Choose a finite rational mesh At every , set the detector base parameter , use the same-class first-zero position , and choose a rational detector in Lemma 13 to certify . Replace these raw bounds by the nondecreasing suffix-minimum envelope This remains valid because for . Relabel as . The resulting directed cap is (4.8) Every exponential in the certificate is replaced by an outward rational enclosure. The definition of is identical, except that the same-class first-zero charge is omitted and every zero has lower defect .
Proposition 15 (Universal early-or-late cap). Let be the first zero in a high class, and suppose . Set (4.9) and use the partition (4.10) Let denote the nine consecutive closed intervals determined by this list. For the caps of Definition 14, every high class satisfies (4.11)
Proof. If , every zero in the class is at least , and the class itself supplies a zero no later than . Thus Lemma 13 applies with the positive charge . Abel summation of the resulting certified integer envelope gives . If , the ordinary cap at lower defect applies. The cases in (4.10), together with this late case, exhaust every possible . ◻
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.
The next elementary lemma is responsible for the decisive saving in the secondary branches.
Theorem 17 (Aligned cap-and-mass lemma). Let on a finite or countable index set. Suppose (5.1) Define the left-greedy fills (5.2) Then (5.3) The right side is attained in the enlarged polytope (5.1).
Proof. We first prove the bilinear statement (5.4) Decreasing rearrangement preserves feasibility. Indeed, if the -th largest coordinate of exceeded , then at least original coordinates would exceed , while only the first cap positions can do so. The same holds for . The rearrangement inequality gives For every , (5.5) Abel summation against the decreasing nonnegative sequence gives Apply the corresponding prefix majorization against the decreasing sequence to obtain (5.4).
Apply (5.4) to two copies of , two copies of , and to . 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.
For a chosen unrestricted detector, write where the sums run over all packet classes. In the active branch, the at most two zeros certified at or below 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 . Order these high classes by their first defects.
In the active branch, let (6.1) The unrestricted form of Zhao’s Lemma 3.3 is (6.2) For an active box , use for every adverse lower-defect or exponential estimate, and use only for the positive positional term.
If (6.2) certifies , subtract the explicitly known low zeros. The number of additional high classes beginning by is then bounded by a nondecreasing integer envelope . Ranks may be assigned first-zero lower endpoint . Zhao’s fixed-class -formula supplies a raw cap at that endpoint. A right-to-left suffix maximum, formed together with the repeated -tail, gives a decreasing coordinatewise majorant.
The unrestricted estimates give total budgets (6.3) Because Zhao introduces the unrestricted -formula under , is replaced by the maximum of that unrestricted bound and (6.4) to cover . The ordered caps and (6.3) are now exactly the hypotheses of Theorem 17.
In the active range, Zhao’s alternatives allow at most two low zeros. There are exactly three allocations: (6.5) The two-class case never assigns to a single class. Applying Lemma 13 separately to each identified low class gives its -cap; the compatible fixed -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 . The following rows cover every . 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 | zero alternative | certificate branch |
|---|---|---|
| near-Siegel | ||
| scalar | ||
| scalar | ||
| scalar | ||
| active rows | ||
| or | secondary | |
| secondary | ||
| secondary | ||
| secondary | ||
| for | aligned suffix |
Proof. The zero alternatives are precisely Zhao’s Lemma 2.4, including its three unconditional final assertions. If , the packet is empty and there is nothing to prove. Otherwise, intersect the displayed closed intervals with and discard empty intersections; the resulting rows cover , 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 , where is the number of known low zeros and the number of classes which contain them. The remaining cases are the four scalar rows and the near-Siegel majorant (7.18). ◻
Theorem 19 (Computer-assisted packet theorem at ). The coefficient- packet property holds. More precisely, every discretized non-near-Siegel branch satisfies (7.1) while the near-Siegel branch has a positive gap depending only on the fixed lower zero defect .
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.
Every terminating decimal used as an input denotes the exact corresponding rational number. All final comparisons are made in . Displayed packet bounds are rounded upward, while displayed positive separations and slacks are rounded downward. For , the verifier encloses using the rational bound (7.2) Negative arguments are handled by reciprocating a positive enclosure. For the kernel transform, write where the moments are the exact rationals (7.3) The omitted series is bounded by (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.
The active interval is covered by (7.5) Each of the boxes is checked in all three allocations from (6.5), for directed rows.
The common high-class quantities are (7.6) The exhaustive cap split in Proposition 15 is recorded in Table 1.
| nodes | minimum separation | ||
|---|---|---|---|
| 203 | |||
| 195 | |||
| 191 | |||
| 185 | |||
| 182 | |||
| 177 | |||
| 174 | |||
| 170 | |||
| 162 | |||
| 173 |
The active maxima, separated by allocation, are recorded in Table 2.
| allocation | packet upper bound | slack |
|---|---|---|
| two classes/two zeros | ||
| one class/one zero | ||
| one class/two zeros |
All three maxima occur in the first half-box.
If known low zeros occupy classes, the number of classes is at most (7.7) because excess zeros cannot begin new classes. The positional count therefore constructs a common ordered -cap list. In the same order, the -caps have the form (7.8) Here is the certified unrestricted count at the branch’s separation level , is the fixed-class -cap when every defect is at least , and is the compatible cap for a class containing designated low zeros.
For a secondary lower endpoint , let be the larger of (A.2) and (A.3) with prescribed lower endpoints , and let be the analogous cap with endpoints . Let and denote the maximum of, respectively, the corresponding unrestricted bound from (A.1) and the direct two-zero guard. The endpoint in the -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 , respectively, the compatible fixed cap and unrestricted budget are (7.9) Applying Theorem 17 gives Table 3.
| branch | |||
|---|---|---|---|
| , | |||
| , | inadmissible | inadmissible | |
| , | |||
The limiting row is , , with (7.10)
Remark 20 (Necessity of alignment). If the -energy and the terms are maximized separately, the rows and have negative slacks and . Theorem 17 changes the latter full packet to . Thus simply replacing by in Zhao’s scalar table does not prove the result.
For , Zhao’s class separation allows at most four classes before the later level . Use aligned cap lists after replacing each raw list, together with its repeated tail, by the coordinatewise suffix-maximum majorant. Thus (7.11) The old separated scalar is ; the aligned packet is (7.12) The remaining distinguished-zero branches are listed in Table 4.
| branch | packet upper bound | slack |
|---|---|---|
| (aligned) | ||
For the near-Siegel branch, set Write If , Zhao’s first-zero alternative gives Indeed, so this cutoff lies inside the packet rectangle. Consequently, in the decomposition (3.1), (7.13) It follows that (7.14)
For the fixed-class detector the exact rational enclosure used by the verifier gives (7.15) For , the source kernel simplifies to Both terms are nonincreasing in , since is nonincreasing. Thus is nonincreasing in its cutoff. Moreover, Hence, for , Zhao’s fixed-class estimate and the coefficient shift of Lemma 11 give (7.16) The unrestricted exact enclosure, with the same source-error allowance, gives (7.17) Substitution in (7.14) proves (7.18)
The exact verifier establishes (7.19) For , , so give (7.20) On , no monotonicity assertion is needed: termwise, and the last line of (7.19) applies. Thus the explicit fixed- gap (7.21) is valid. No uniformity as is claimed; the exceptional-real-zero alternative is removed in Theorem 9 before this estimate is used.
The certificate evaluates the limiting formulas only after proving a finite collection of strict separations: (7.22) Every bound is continuous in , with denominators separated from zero. Since the list is finite, one may choose a common for which every non-near-Siegel row remains valid. Choose once and for all 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 the non-near-Siegel branches retain gap . Together with the near-Siegel gap , this gives (7.23) The finite detector levels and the tail estimate (A.6) are independent of the outer rectangle height . Hence (7.23) is a common zero-source gap for every , and the strict separations in (7.22) provide the common perturbation tolerance required by Proposition 5. Applying that proposition for an arbitrary fixed moves all conductor dependence into . This is precisely the quantifier order in Definition 4, and proves Theorem 19.
Proof of Theorem 1. By Theorem 19, the packet property holds. Apply Theorem 9: (8.1) Let The exact margins are (8.2) This is Theorem 1. Choose the in (8.1) smaller than . Then , proving Corollary 2. ◻
The release separates parameter search, exact verification, witness export, and witness checking. Table 5 records the proof-to-code correspondence.
| Analytic object | Implementation |
|---|---|
| release integrity and orchestration | verify_release.py |
| active -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 |
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.
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.
The finite witnesses contain the exact ordered class coordinates, raw caps, suffix majorants, mass budgets, greedy fills, objectives, and slacks for all rows in Table 3, all 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.
The gain from to is not obtained from a new density theorem. It comes from preserving dependence which is lost when character classes or the decomposition are decoupled. This distinction matters: the old separated estimates actually cross one in two branches at , 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.
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 explicit.
Fix , , and set Assume Let and suppose zeros have prescribed lower endpoints , while every later zero satisfies .
The unrestricted -bound used in the certificate is (A.1) Inside one fixed class, choose an integer . In the alternative , (A.2) In the alternative , (A.3) At positive , the numerator in the final fraction is (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- guard.
Write The zero-count inequalities are, respectively, (A.5) The positive -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 and Finally, Zhao’s Lemma 3.1 supplies (A.6) with (A.7) The smaller coefficient is never used for an unrestricted mass. Lemma 11 converts (A.6) to coefficient .
Suppose the explicit cap prefix is followed by constant tail caps , and the residual masses after the prefix are The exact tail contribution to the aligned cross term is (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 and repeated tail , the decreasing coordinatewise majorant is formed as (B.2) The tail must be inserted before this operation; replacing it by the minimum of the last listed cap and can lower a valid raw cap.
The complete branch inventory checked by the manifest-driven release is: (B.3) The active driver asserts the -box cover and all three low-zero allocations. The secondary theorem command must explicitly request the full scope, as recorded in Section 9.
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