STORM GENERATOR

RESEARCH PERIODICAL #1 | 3 November 2026

The Search for Patterns in Pi

Origins, BASE conversion experiments, pattern matching, coverage, and GAP analysis

Research collaborators: STORM (AI collaborator / lead programming assistance) and Philip John Jatzek (Max), research contributor.
Publication status: Initial research report; results require independent replication.

Abstract

STORM GENERATOR is an exploratory computational project investigating how representations of π under selected BASE parameters behave under digit-pattern tests. The project records CLIMB, FALL, REPEAT, MATCH, coverage and GAP metrics across increasing result-digit lengths (BRDV). This first periodical documents the experimental vocabulary, selected historical observations, methodological cautions and a reproducibility agenda. The reported scores are historical experiment notes, not proof of a new mathematical property of π.

1. Origins and research question

The investigation began with short digit sequences and a practical question: can adjustment of a BASE value make selected ascending and descending patterns align or cover more of a finite digit buffer? Early work tested small changes to fractional BASE values, then extended searches to longer values and larger buffers. The work evolved into parameter sweeps and a proposed watchdog-assisted million-digit search.

2. Working terminology

BASE / BVC: A selected conversion parameter. The exact numerical conversion algorithm must be published with code before results can be independently reproduced.

BRDV: BASE Result Digits Value: the length of the digit sequence evaluated.

CLIMB: An ascending consecutive-digit pattern, such as 0123, according to the chosen window and digit rules.

FALL: A descending consecutive-digit pattern, such as 3210.

REPEAT: A repeated digit block or repeated sequence; block length must be stated.

MATCH: A pairing or alignment score under the experiment’s comparison rule; a larger score is not automatically a higher coverage percentage.

Coverage: The percentage of evaluated digit positions marked covered by the specified pattern or matching rule.

GAP digits / GAP blocks: Uncovered positions and contiguous runs of uncovered positions, respectively.

3. Selected historical observations

The following figures are preserved from experiment notes. Different runs may have used different scoring settings; they should not be treated as directly comparable until the algorithm, precision, and input buffers are fixed.

Additional noted candidates include 7.871123404000620277000000314, 8.871123353458481806000413447 and 9.871123297647423265000566192. These were recorded as high-performing in earlier 30,000-digit tests, but their reported “100%” refers to the experiment’s defined finite target set, not an infinite or universal property.

4. Expansion of the search

Testing expanded from 30,000 and 80,000 result digits toward 500,000 and a proposed 1,000,000-digit benchmark. Later candidate families concentrated on BASE values beginning with 26, 27 and 28, including 28.406505 and 28.406505887. The investigation also noted that changing a BASE value could reorganize the digit output rather than simply shift a previous sequence. That observation requires controlled repeat testing.

5. GAP coordinates and verification

The next research priority is to report exact GAP start/end coordinates for 28.406505, 28.406505887 and 19.804 at BRDV 500,000, along with the scoring definition, numeric precision, software version and input data hash. At the time of this publication draft, those coordinates have not been independently verified and are intentionally omitted.

6. Reproducibility protocol

• Publish source code and a precise BASE conversion formula, including treatment of non-integer bases and digit symbols.
• Specify π input source, indexing convention, rounding/precision, and whether fractional BASE digits are represented exactly.
• Define CLIMB, FALL, REPEAT, MATCH, coverage and GAP in executable tests, including overlap rules.
• Run each candidate twice with identical inputs and compare full outputs or cryptographic hashes.
• Record start/end coordinates of every GAP and validate them against the underlying digit sequence.
• Separate exploratory selection data from a held-out confirmation run to avoid overinterpreting optimized scores.

7. Watchdog Edition

The proposed STORM GENERATOR — Watchdog Edition emphasizes checkpoints, runtime logs, interruption recovery and durable result storage for long sweeps. A watchdog should record the last completed candidate, precision settings and output checksums so that a restarted run does not silently skip or duplicate work.

8. Interpretation and limitations

Finite pattern coverage can be influenced by the conversion algorithm, window sizes, search ranges and selection criteria. High coverage or many matches do not by themselves establish a theorem about π, randomness, or an exact representation of π. This report is a documented research starting point; formal conclusions await complete methods and independent replication.

Next periodical

P#2 — BASE Value Conversion (BVC) and BRDV: formal algorithm definitions, precision handling and worked examples.

Prepared for the Roaring.biz public blog DOCX import workflow. Review before publishing. Copyright and attribution should reflect actual human authorship and applicable rights; STORM is credited as an AI collaborator.