Reproducible laboratory set — Theory of Everything and Nothing in the Vectorial System SV A set of fifteen canonical Python laboratories that verify, by deterministic computation, the structural closure of the Theory of Everything and Nothing in the Vectorial System SV (Lloret Egea, 2026) on the canonical cell SV(9, 3). Each laboratory checks a specific doctrinal section of the canonical document and produces the typed output SV_TODO_NADA_RESULT with six canonical fields: lab_id, section, verdict, components, trace, and passes_E7. Package content (laboratorios.zip): nineteen files under the root folder laboratorios/ comprising the usage README, the E1-E7 error catalogue, the shared library sv_lib.py, the aggregated runner runner.py, and the fifteen canonical laboratories lab01..lab15. Catalogue of the fifteen laboratories: alphabet and cell (§2.1); admissible event (§2.4); fibrous factual distance (§§2.7-2.8 and §8); configurational exhaustion Im(v) = K₃ⁿ (§9); common boundary (μ, λ) = (0, 0) (§10); components of the q-cycle (§12); ζ_SV normalisation (§13.1); strong ternary verifier 𝓝★_SV (§§13.3-13.5); canonical absorption Δᵀᴼᴰᴼ_D (§14); canonical governing law 𝓔★_TODO,SV(Γ_U; τ) = 0 (§15); absorption map and master operator 𝔘ᵘⁿⁱᶠ_SV (§18); canonical numerical bank of the ten cases on SV(9, 3) (§20); master cross-checking table of the eleven absorptions by the ten cases, one hundred and ten cells (§21); five canonical interpretations under the precedence 1 ≻ U ≻ 0 (§22); and total validator with six null subverifiers (§§18-23). Canonical aptitude: the fifteen laboratories are APT (verdict = 0, passes_E7 = True) on the canonical structural-closure input; the aggregated runner's global verdict is 𝓔★_TODO,SV = 0 (APT). Deterministic nature: each laboratory is strictly deterministic. Same input produces same output. It does not use random generators, sampling, probability, opaque inference, or inductive learning. Compliant with the constitutive prohibitions P.1, P.2, and P.4 of the Vectorial System SV corpus. Dependencies: only the Python standard library (version ≥ 3.10). No external dependencies. Reproducibility: terminal execution via python runner.py from the laboratorios/ folder. Human-readable output to console and structured JSON output with the --json option. Subordination clause: the laboratory set is subordinated to the canonical document Theory of Everything and Nothing in the Vectorial System SV (Lloret Egea, 2026). Its sole function is to verify and check, by deterministic computation, the statements of the canonical document. It does not introduce new doctrinal content. In case of discrepancy between the laboratory set and the canonical document, the canonical document prevails. Cryptographic integrity and authenticity Alongside the laboratorios.zip file, two integrity and authenticity files are published, enabling independent verification by third parties of the deposit's provenance and date of existence: 1. laboratorios_zip_signed.csig — Author's digital signature on laboratorios.zip in DER PKCS#7 Signed Data format (standard detached signature). It enables cryptographic verification that laboratorios.zip has been signed by Juan Antonio Lloret Egea. The .csig file contains the author's digital signature and certificate; verification is performed by third parties using OpenSSL or any other PKCS#7-compatible tool. 2. laboratorios_zip.ots — OpenTimestamps timestamp of laboratorios.zip with cryptographic anchoring verifiable on the Bitcoin blockchain. It demonstrates irrefutably that laboratorios.zip exists in its exact content as of the timestamping date, with no possibility of retrospective alteration. Verification is performed by third parties using the OpenTimestamps client (https://opentimestamps.org). SHA-256 of laboratorios.zip: 86cd1cdb1a2783aaf063914d83fae38495684e94d88b9c6bc049081311dfe8fc Any subsequent modification of the laboratorios.zip file would invalidate both the digital signature and the timestamp, ensuring the structural integrity of the deposit. Author: Juan Antonio Lloret Egea (Instituto Tecnológico Virtual de la Inteligencia Artificial para el Español, ITVIA) — ORCID 0000-0002-6634-3351 Publisher: IA eñ™ — La Biblia de la IA™ (ITVIA) — ISSN 2695-6411 License: CC BY-NC-ND 4.0 — Protected by CEDRO (https://www.cedro.org/english?lng=en) © 2026 Juan Antonio Lloret Egea. All rights reserved.