Infinity Engine — 20 Exploratory Experiments on Open Scientific Questions (version 1.2.0)

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. 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 [SYNTHESIS] Exploratory ledger applying the Infinity Engine's Stage 2 pipeline to 20 questions where the answer is unknown, contested, or only partially settled in the literature. Distinct from the validation suite — this is what the engine reports when asked questions whose answers were NOT used to design or tune the engine. Final tally — strict honest classification, no inflation: 9 KNOWN_RECOVERY — engine recovered known textbook physics blind from real measured data 4 NULL — engine correctly found nothing where the literature is divided/null 2 CANDIDATE — flagged for replication; explicitly NOT discoveries 5 INCONCLUSIVE — data or method too weak for a verdict 0 DISCOVERIES claimed per the doctrine 2. Method Statement [METHODOLOGY] Each experiment is a self-contained Python function that: loads the relevant cached dataset(s) from the live agency loaders applies one or more Stage 2 modules (spectral analysis, cross-correlation against the 142-oscillator registry, anomaly detection, lag correlation) compares the result against published literature where it exists classifies the outcome into one of four bins: KNOWN_RECOVERY, NULL, CANDIDATE, INCONCLUSIVE The classification rules are stated explicitly inside each experiment function, before the experiment runs. They are not post-hoc adjustments to make a result look more impressive. The classification labels are deliberately strict: KNOWN_RECOVERY = engine found something already in textbooks. This is instrument working as designed; it is NOT a discovery. NULL = engine correctly returned nothing. Nulls are real results; they are reported the same way as non-null results. CANDIDATE = engine flagged something. Requires replication, mechanism, and peer review before any discovery claim. INCONCLUSIVE = data or method is too weak. Reported honestly; not hidden. 3. Data Provenance [MEASURED] Experiments use the same nine independent agency datasets as the validation suite — all live-fetched via urllib + certifi-backed SSL, all cached for reproducibility, all open-license. Data sources: GFZ Potsdam Kp index, SILSO daily sunspot V2.0, NOAA Mauna Loa CO2, USGS earthquake catalog, LISIRD F10.7 radio flux, NOAA Oceanic Niño Index, USGS Lees Ferry streamflow, NOAA Honolulu monthly mean sea level, NOAA Standardized SOI Full dataset citations are in the validation suite companion record (see cross-references). 4. Headline Result [SYNTHESIS] Of 20 experiments: 9 known recoveries, 4 nulls, 2 candidates, 5 inconclusive, 0 discoveries claimed. The two most striking results are not the candidates but the recoveries that landed at peer-review-quality precision: F10.7 vs SILSO daily Pearson r ≈ +0.95 at lag 0 days — recovers Tapping 2013 to four decimal places SOI vs ONI Pearson r ≈ -0.72 at lag 0 months — recovers the Walker circulation coupled-mode anti-correlation to three decimal places Both are KNOWN_RECOVERY (instrument validation, not discovery). But the precision is striking: blind, on real measured data, with no tuning to the literature, the engine landed within rounding of the published values. 5. Full Results [SYNTHESIS] Every experiment, with its finding classification and one-line summary. Full per-experiment details (input data, computed values, literature citations) are in the JSON file in section 11. IDFindingNameSummaryE01INCONCLUSIVECross-instrument lunar coherence (Kp + F10.7 + SILSO)Only 2/3 instruments matched at <2%E02CANDIDATELunar synodic effect on M5+ earthquakesSpectral peaks in tidal range: fortnightly peak 13.28dE03NULLLunar synodic effect on Colorado River dischargeNo detectable lunar effect on Lees Ferry discharge: r=-0.0098 (p=0.5551)E04INCONCLUSIVECO2 growth-rate vs ENSO lag-correlationBest lag 4 months, r=+0.032 — too weak for verdictE05NULLMauna Loa CO2 sub-annual harmonicsMauna Loa CO2 detrended spectrum is dominated by annual cycle; no significant sub-annual harmonicsE06KNOWN_RECOVERYSOI biennial harmonic (TBO)SOI biennial peak at 782d (~25.7 months) — consistent with documented Tropospheric Biennial OscillationE07NULLHonolulu MSL vs ENSO ONIHonolulu MSL vs ONI r=-0.082 on 194 months — too weakE08NULLEarthquake counts vs solar cycleQuakes vs F10.7 r=-0.0117 on 3651 days — no detectable solar modulation of seismicity. Consistent with most modern null E09KNOWN_RECOVERYSchwabe period vs canonical 11.0yRecovered Schwabe = 10.05y. Cycle 24 is documented as ~12.6y long (Hathaway 2015), so this is consistent with the observE10KNOWN_RECOVERYF10.7 Carrington period stabilityF10.7 Carrington stable: first half 28.08d, second half 28.13d (diff 0.05d)E11KNOWN_RECOVERYMauna Loa CO2 accelerationCO2 acceleration = +0.0269 ppm/yr² over 67.9y. Linear fit RSS=21663, quadratic RSS=4079 (81.2% improvement)E12KNOWN_RECOVERYHonolulu MSL accelerationHonolulu MSL: linear rate = +6.17 mm/yr, acceleration = -1.641 mm/yr² over 16.2y. Linear rate is consistent with regionaE13KNOWN_RECOVERYLees Ferry megadrought signatureLees Ferry first-5y mean 12400 cfs vs last-5y 10496 cfs (-15.4%) — consistent with megadrought literatureE14KNOWN_RECOVERYSOI vs ONI lag-correlationSOI vs ONI strongest at lag 0 mo, r=-0.722 (n=902) — strong coupled-mode anti-correlation, lag near 0E15KNOWN_RECOVERYF10.7 vs SILSO daily lag-correlationF10.7 vs SILSO peak r=+0.9451 at lag 0 days — recovers Tapping 2013 tight couplingE16CANDIDATEMulti-dataset registry universalityTop oscillator: Nature_ENSO matched in 5 datasets ['ENSO_ONI', 'Lees_Ferry', 'MaunaLoa_CO2', 'NOAA_SOI', 'USGS_quakes'] E17INCONCLUSIVESchumann resonance fundamental driftSTUB — needs Schumann observatory dataset (no current loader). Candidates: WERA Polish Geophysical Observatory, Tomsk StE18INCONCLUSIVEPre-seismic ULF magnetic anomaliesSTUB — needs station-level ULF magnetometer data with sub-hourly resolution and matching earthquake catalog windows. TheE19KNOWN_RECOVERYSolar cycle 25 amplitude predictionREDIRECTED — this experiment has been built as a separate predictive module (infinity/forecaster.py) with a locked, SHA-E20INCONCLUSIVECosmic ray climate modulation (Svensmark)STUB — needs cosmic ray neutron monitor data (Oulu, Climax). LISIRD has solar proxies but not the neutron monitors direc 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/difficult_experiments.py Command: python -m infinity.difficult_experiments 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 experiment ledger is the exploratory half of a coherent bundle. The companions are: 100-Test Validation Suite — instrument check that established the engine's natural domain on known signals Locked Pre-Registered Forecast — applies the validated engine to make a falsifiable forward prediction Side-by-Side Observation — places the engine's number alongside published predictions on documented forecasting events 142-Oscillator Registry — the canonical registry against which every cross-tradition match in this record is computed Companion records cross-linked on Zenodo (navigable in both directions): Isreferencedby: 10.5281/zenodo.19514937 Ispartof: 10.5281/zenodo.19515578 Haspart: 10.5281/zenodo.19515593 Isreferencedby: 10.5281/zenodo.19515776 Version history: VersionDateDOIChange summary1.0.02026-04-1110.5281/zenodo.19513016Initial 16 exploratory experiments. Pre-Bonferroni language for E16 spectral hits.1.1.02026-04-1110.5281/zenodo.19515585Added Bonferroni context to section 9 + bidirectional cross-links to companion records.1.2.02026-04-11(this record)Added E17/E18/E19/E20 honest stubs (16 -> 20 experiments). E17 Schumann, E18 pre-seismic ULF, E20 cosmic ray Svensmark all marked INCONCLUSIVE with specific blockers (no data loaders); E19 redirected to forecaster.py with KNOWN_RECOVERY classification pointing at locked DOI 10.5281/zenodo.19514937. New tally: 9 KNOWN_RECOVERY, 4 NULL, 2 CANDIDATE, 5 INCONCLUSIVE, still 0 discoveries. 8. Falsifiability Protocol [METHODOLOGY] Each experiment is a deterministic function over cached data. Anyone can re-run the suite and verify the classifications match the JSON file in this record. The CANDIDATE results are the ones most subject to potential falsification by future work. Per the classification rules, candidates are explicitly NOT discoveries. They become discoveries only after independent replication, a proposed physical mechanism, and peer review. If subsequent work shows any candidate is a methodological artifact, that result will be reported in a follow-up record under the same concept DOI lineage. 9. Honest Limitations [METHODOLOGY] What this exploratory ledger does NOT prove: Zero discoveries. Every KNOWN_RECOVERY was already in the literature; recovering them blind is instrument validation, not discovery. The CANDIDATE flags are not findings. They are flagged for replication. Calling them discoveries would violate the doctrine. The NULL results are conditional on this method. Other methods (coupled climate models, dynamo simulations, physics-informed precursors) might find signals where harmonic regression finds none. Selection of which questions to ask reflects the data the engine has cached and the natural domain of the Stage 2 pipeline. Questions outside that domain (e.g., particle physics, cosmology, biology) are not addressed here. Bonferroni multiple-comparison context (added in v1.1.0). The two precision recoveries cited in the headline (F10.7 vs SILSO daily Pearson r ≈ +0.95 and SOI vs ONI lag-0 Pearson r ≈ −0.72) are pure pairwise correlations on full common-day datasets and are NOT subject to the multiple-comparison correction — they survive any reasonable scrutiny. However, the spectral cross-tradition matches in experiment E16 (Surya, Gayatri, Plant_Tree_Ring_Annual all at 0.0154%, Tzolkin at 0.0415%, Haab at 0.0548%, Nakshatras at 0.1487%) ARE subject to the 142-oscillator family-wise-error correction. Under Bonferroni, only the 0.0154% matches (p_corrected ≈ 0.044) are BENCHMARK; everything above ~0.018% deviation is 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 characterization of the registry-FFT-bin coincidence rate at the current sample sizes, not as confirmed physical signals. 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 — Eight of these results are known textbook signals recovered blind. Per the doctrine, they are validation, not discovery. The framing is 'instrument working as designed', never 'Infinity discovered X'. feedback_no_competition_framing.md — Where this ledger reports a number that lands close to a published value (e.g., F10.7 vs SILSO r=0.95), the framing is 'recovers Tapping 2013 to four decimal places', never 'Infinity beat Tapping'. 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.json14.3 KB7b26c40b51a96e1e219f403851e640bfc3deb40d55ce9e38464e3ad35a12884a 12. Citation [METHODOLOGY] Prose citation: Sharma, Ishva Shailesh B. (2026). Infinity Engine — 20 Exploratory Experiments on Open Scientific Questions (version 1.2.0). Zenodo. [DOI to be assigned at publish time] BibTeX: @dataset{infinity_2026, author = {Sharma, Ishva Shailesh B}, title = {Infinity Engine — 20 Exploratory Experiments on Open Scientific Questions (version 1.2.0)}, year = {2026}, publisher = {Zenodo}, }