Infinity Engine — 100-Test Instrument-Grade Validation Suite (95/100 Pass, version 1.1.0)

About this record: This is a benchmark-template publication from the Infinity Engine. Every Infinity record uses the same 12 sections in the same order with the same classification labels. Classification labels used in this record: [MEASURED] direct observation, [METHODOLOGY] method itself, [INFERRED] deterministic derivation, [VALIDATED] instrument check passed, [PRE-REGISTERED] forward prediction awaiting falsification, [SYNTHESIS] interpretation across results, [HYPOTHESIZED] asserted but not yet validated. 1. Abstract [VALIDATED] Instrument-grade validation ledger for the Infinity Engine's Stage 2 analysis pipeline. 100 tests across five honest categories: A (pure math), B (real physics on live-fetched agency datasets), C (null/random anti-fabrication), D (cross-method consistency), E (edge-case robustness). Pass rate: 95/100 (95.0%) as of 2026-04-11. Per the doctrine, this is validation, not discovery. Recovering known signals from real measured data is the instrument check that has to pass before the engine can be trusted on unknown data. Every failure is documented as either a test design error (with passing redesigns) or a real engine limit (with passing companion tests via alternative methods). 2. Method Statement [METHODOLOGY] The validation suite is a registered list of named tests, each with a stable ID, a fixed expected outcome stated before running, and a deterministic verdict (pass/fail). Every test uses random seed 42. Every test is re-runnable on demand. No result here was tuned to make the test pass. Five test categories: A — Pure math. Synthetic signal with known period; check that the spectral pipeline recovers it. B — Real physics. Live data from one of nine agency endpoints; check that the pipeline recovers a documented textbook signal blind. C — Null/random. White noise or other random input; check that the pipeline returns NO signal (anti-fabrication). D — Cross-method. Same data through two different methods (FFT vs Lomb-Scargle, z-score vs MAD); check they agree on the answer. E — Edge cases. Tiny inputs, all-zero, single spike; check the pipeline handles gracefully without crashing. Pass/fail doctrine: Failures are findings. They are not retroactively loosened to pass. Each documented engine limit has a passing companion test demonstrating that the engine has some method that recovers the signal — just not the one originally tested. 3. Data Provenance [MEASURED] Type B tests use nine independent agency datasets, all live-fetched via urllib + certifi-backed SSL. Each loader caches after first fetch for reproducibility. All datasets are open-license and citable in their own right: GFZ Potsdam Kp index (canonical geomagnetic activity, daily, since 1932) — Matzka et al. 2021, CC-BY 4.0 SILSO daily total sunspot number V2.0 (Royal Observatory of Belgium / SIDC) — Clette & Lefèvre 2016, CC-BY-NC 4.0 NOAA GML Mauna Loa monthly CO2 (the Keeling curve, since 1958) — Keeling et al., NOAA GML, public domain USGS FDSN earthquake catalog (M5+ events, 10 years) — USGS, public domain LISIRD F10.7 solar radio flux (Penticton, daily, 10 years) — Tapping 2013, public NOAA CPC Oceanic Niño Index (monthly, since 1950) — NOAA, public domain USGS NWIS Colorado River at Lees Ferry (daily streamflow, 10 years) — USGS, public domain NOAA CO-OPS Honolulu monthly mean sea level (2010-present) — NOAA, public domain NOAA CPC Standardized Southern Oscillation Index (monthly, since 1951) — NOAA, public domain Total measured input: approximately 26,757 samples across eight independent agencies. 4. Headline Result [VALIDATED] 95 of 100 tests passed (95.0%). 5 tests failed. Of these, the diagnosis distinguishes test design errors (which have passing redesigns documented in the same suite) from real engine limits (which have passing companion tests using alternative methods, and which represent honest characterization of the engine's natural domain). The five-category breakdown is in the next section. 5. Full Results [VALIDATED] Pass / fail by category: TypeTotalPassedFailedA30282B40391C15141D10100E541 The 5 failed tests with their evidence: Test IDTypeNameEvidenceA-PERIOD-002APure 365.25d sine recoveryclosest peak 400.00d vs expected 365.25d (dev 9.51%)A-REGMATCH-001ASynthetic 29.531d → Chandra_orbitalChandra_orbital matched at 1.1195% deviationB-ENSO-SUPER-001BReal ENSO super-Niño anomaly recoveryonly 0 high-conf anomaliesE-SPIKE-001ESingle spike anomaly recoveryflagged indices: [] (must include 50, total ≤3)C-NULL-NOISE-001CWhite noise → no fabricated registry matches4 close-match (≤0.5%) hits from white noise (≤2 = pass) Every passing test result is in the JSON file uploaded with this record (section 11). 6. Reproducibility [METHODOLOGY] Anyone with the source code can re-run this exact computation and verify the result matches the file in this record. Source file: infinity/validation_suite.py Command: python -m infinity.validation_suite Random seed: 42 (fixed for full reproducibility) Dependencies: Python 3.12+ numpy certifi urllib (stdlib) The Infinity engine source code is available in the Infinity repository (linked in the related-identifiers section of this record). 7. Cross-References [METHODOLOGY] This validation suite is the instrument-check half of a coherent bundle. The companion records are: Locked Pre-Registered Forecast — applies the validated engine to make a falsifiable forward prediction 16 Exploratory Experiments — applies the validated engine to open scientific questions, with strict honest classification of results Side-by-Side Observation — places the engine's number alongside published predictions from other methods on documented events with known truth 142-Oscillator Registry — the canonical registry against which every cross-tradition match in this record is computed All records carry related-identifiers links between them on Zenodo so a reader can navigate the full bundle from any entry point. Companion records cross-linked on Zenodo (navigable in both directions): Isreferencedby: 10.5281/zenodo.19514937 Haspart: 10.5281/zenodo.19513016 Haspart: 10.5281/zenodo.19513020 Version history: VersionDateDOIChange summary1.0.02026-04-1110.5281/zenodo.19513014Initial 100-test validation suite. 95/100 pass. Pre-Bonferroni-correction language for cross-tradition matches.1.1.02026-04-11(this record)Same 95/100 test results. Adds (a) Bonferroni multiple-comparison context to section 9 explaining that most cited cross-tradition matches are mathematically WEAK under strict 142-oscillator FWE correction, only Lees Ferry/Surya at 0.015% is BENCHMARK; (b) hasPart and isReferencedBy cross-links to companion records on Zenodo. No test results changed. 8. Falsifiability Protocol [VALIDATED] This validation suite is the falsification mechanism for the engine itself. Every test has a deterministic verdict; every test is re-runnable on demand by anyone with the source code. How to falsify the claims in this record: Clone the Infinity engine source code (related-identifiers). Run python -m infinity.validation_suite. Compare the output to the JSON file uploaded with this record. If any test result has changed, the engine has been modified and the older record's claims may no longer hold. Test data sources are live-fetched and cached, so the very first run on a new machine will produce slightly different real-physics test results if the upstream agency has updated its data since this record was published. This is expected and is a feature, not a bug — it means the test continually re-checks against current agency data. 9. Honest Limitations [METHODOLOGY] What this validation suite does NOT prove: Passing validation is not discovery. Every type-B test recovers a known textbook signal. Recovering them blind is the instrument check; finding them in the first place was the original scientific work, by other people. The five known engine limits (documented in the failed tests above) are real and not loosened to pass. They map the natural envelope of the engine's methods. The pass rate depends on the test design. A different test designer would write different tests; the specific number is meaningful only against the specific suite. The suite is not exhaustive. 100 tests is a useful threshold but not a complete characterization. New kinds of input could reveal new behaviors. Bonferroni multiple-comparison context (added in v1.1.0). The cross-tradition recovery numbers cited in earlier sections (e.g., GFZ Kp ↔ Chandra_orbital at 0.07% deviation, SILSO sunspot ↔ Nakshatra_Ashwini at 0.149%, Mauna Loa CO2 ↔ Haab at 0.276%, Lees Ferry ↔ Surya_orbital at 0.015%) are correct as raw deviations but most do NOT survive a strict 142-oscillator family-wise-error correction at the conventional 5% threshold. Under Bonferroni (p_corrected ≈ 2 × deviation × 142 / 100), only the Lees Ferry ↔ Surya_orbital match at 0.015% (p_corrected ≈ 0.043) is BENCHMARK; the others are mathematically WEAK and could plausibly arise by chance given the registry size. The engine's cross_correlate.match_spectrum_to_registry function now labels every match as BENCHMARK or WEAK accordingly. Users of this record should treat the WEAK matches as honest characterizations of the engine's natural-domain limit at the current sample sizes, not as confirmed physical signals. The instrument-grade threshold can be reached by either (a) using longer time series (smaller FFT bin spacing → smaller observed deviations) or (b) restricting the comparison to a smaller physically-motivated subset of oscillators (which reduces the Bonferroni correction factor). This caveat was added in v1.1.0 of this record after the Bonferroni FDR correction was added to the engine itself. 10. Doctrine [METHODOLOGY] This record's framing is governed by the following durable doctrine principles, which apply to all Infinity publications regardless of kind: feedback_validation_vs_discovery.md — Recovering known signals is instrument validation, not discovery. The honest framing is 'instrument validated against benchmark', never 'Infinity discovered X'. feedback_no_competition_framing.md — When this validation record is shown alongside outputs from other methods or agencies, the framing stays neutral: same data, same moment, different methods, different numbers. 11. File Manifest [MEASURED] Every file in this upload, with size and SHA-256 hash. Any reviewer can download a file and verify it matches the hash here. If the hash differs, the file has been altered after publication and the description's claims may not apply. FilenameSizeSHA-256latest.json48.0 KB3f07adde2ee6500a26b0de8065dff2c1b239711ec5e9a5d0de367268017eb96b 12. Citation [METHODOLOGY] Prose citation: Sharma, Ishva Shailesh B. (2026). Infinity Engine — 100-Test Instrument-Grade Validation Suite (95/100 Pass, version 1.1.0). Zenodo. [DOI to be assigned at publish time] BibTeX: @dataset{infinity_2026, author = {Sharma, Ishva Shailesh B}, title = {Infinity Engine — 100-Test Instrument-Grade Validation Suite (95/100 Pass, version 1.1.0)}, year = {2026}, publisher = {Zenodo}, }