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Benchmark Reproduction and Data Provenance

A bootstrap benchmark is reproduced only when a clean environment regenerates the stated observable from frozen scientific inputs and an independent evaluator confirms the certificate or residual within a preregistered tolerance. Matching a published number after manually adjusting conventions is useful diagnosis, but not yet a reproducible record.

Required background. Extremal Functionals, Navigators, and Spectrum Reconstruction define reconstructed observables. Precision, Convergence, and Numerical Error Budgets define refinement evidence. Helpful background. Solver Certificates and Independent Verification define certificate checks.

Evidence cutoff: 2026-08-23. Software versions, archived files, and published targets can change or disappear. Every real benchmark needs a dated, source-specific record. This page claims an executed exact-rational verifier fixture and a planned synthetic generalized-free-field protocol; it claims no production solver or interacting-CFT reproduction.

Archive or regenerate from versioned source:

  • the exact correlator and crossing convention;
  • external data, spectral assumptions, sector and tensor-basis order;
  • block-generator source revision and all parameters;
  • canonical block tables and conic inputs with cryptographic hashes;
  • solver source or release, build flags, dependencies, and container or environment digest;
  • precision, deterministic seeds, resource-neutral settings, and stopping criteria;
  • certificate, logs, convergence rows, reconstructed data, and output hashes; and
  • license or rights information for code and archived inputs.

Hardware details matter when they change numerical ordering or performance, but a scientific acceptance target should be hardware-neutral: residuals, signs, hashes of deterministic artifacts, and observable tolerances rather than an exact wall time.

The solver-level inputs and termination quantities that must be preserved are defined explicitly in Simmons-Duffin 2015, §§2–3.

  1. Verify downloaded or generated source hashes before execution.
  2. Build in a clean pinned environment and record the dependency graph.
  3. Regenerate crossing and block inputs rather than trusting copied solver files.
  4. Run at least two functional/block truncations and two precision values, with deterministic seeds where randomness is present.
  5. Evaluate the exported certificate or crossing residual using a separate implementation.
  6. Compare the observable to the preregistered target and decompose any difference by convention, truncation, solver, or environment.
  7. Publish machine-readable inputs, outputs, hashes, and a human-readable discrepancy report.

A byte-identical solver log is not required if parallel reductions are nondeterministic. The canonical scientific arrays and verified quantities must nonetheless agree within their declared rounding and tolerance policy. Release-aware conformal-block software and bootstrap frameworks are reviewed in Rychkov and Su 2024, §§2.1–2.2, pp. 2–3.

The saved exact certificate contains the cone v(x)=(1,x,x2)v(x)=(1,x,x^2), a feasible control, a rational separator, its half-line Gram matrix, and the exact polynomial matrices for the Δϕ=1\Delta_\phi=1 derivative functional. The independent verification record binds the input and result hashes and records three rejected defects. This validates serialization, exact rational algebra, and the verifier’s fail-closed behavior without floating-point ambiguity.

The next fixture is a checksum-frozen generalized-free-boson correlator: regenerate blocks, verify crossing with a tail bound, construct a finite certificate, and recover selected low data within a declared truncation envelope. It remains prospective.

A three-dimensional Ising island or spectrum estimate is a different evidence class. It must name the precise paper and target table, translate conventions, freeze software and blocks, and record the evidence cutoff. No such reproduction is claimed here.

Numerical certificate and provenance table

Section titled “Numerical certificate and provenance table”
ProblemApproximationSolver buildPrecisionCertificateResidualError budgetInput hashOutput hashIndependent rerunEvidence cutoff
Rational cone and 1D lower-envelope fixtureno floating-point approximation; analytic rΔr_\Delta inequality stated separatelyindependent exact-rational Node evaluatorexact fractionsfinite Farkas separator, half-line SOS, normalized CFT functional, and K/PK/P Gram matriceszero coefficient residuals; exact nonnegative PSD minorsnone for serialized algebra; analytic lemma proved on the functional page25d2c0ba…0bc8237dfc99…a4b1exact agreement; 3/3 defects rejectedexecuted 2026-08-23; no solver-version claim
Generalized-free-boson crossingplanned derivative, block, tail, and precision ladderssource revision and dependency digest requiredat least two valuesnot yet producedseparate evaluator requiredpreregistered truncation envelope requirednot yet recordednot yet recordedrequiredplanned, unrun as of 2026-08-23
Named interacting-CFT benchmarkabsent until source-specific record existsabsentabsentnonenonenonenonenonenoneno reproduction claim as of 2026-08-09

The first row is an executed verifier fixture. It proves only its declared toy-cone and one-dimensional lower-envelope statements; the remaining rows are acceptance requirements, not completed computations.

SymptomLikely classFirst independent check
Crossing residual before solvingconvention or generator mismatchexact permutation and normalization identities
Correct blocks, different boundassumption, sector, or search mismatchdiff canonical physical specifications
Same input, different terminationbuild, precision, scaling, or toleranceverify certificate independently
Stable bound, unstable spectrumextremal degeneracy or primal conditioningtrack zeros and singular values across cutoffs
Matching headline number onlypossible accidental agreementcompare full convergence and certificate records

The generalized-free fixture above is the baseline for reproduction. A real three-dimensional benchmark should not be reported until a dated record satisfies the stated requirements.

Mutable-input test. Replace a frozen block table by an unversioned download. Reproducibility status must be withdrawn.

Hash test. Change a sector order without changing numerical values. Canonical input hashes and the independent evaluator must detect the mismatch.

Headline test. Match one reported digit while convergence rows disagree. The reproduction fails its full target.

  • Rychkov, Slava, and Ning Su. “New Developments in the Numerical Conformal Bootstrap.” Reviews of Modern Physics 96 (2024): 045004. DOI. Open PDF
  • Simmons-Duffin, David. “A Semidefinite Program Solver for the Conformal Bootstrap.” Journal of High Energy Physics 06 (2015): 174. DOI. Open PDF