Paper · S7595
Information-Based Physics, Influence, and Forces
Walsh and Knuth extend an influence-network model to conditional force relations. Observer coordination, rate assignments and approximations underlie the calculation. They acknowledge incomplete understanding of a required connectivity condition. No empirical UAP mechanism is demonstrated.
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Root read all ten pages and21,876 extracted characters in four complete returns, viewed every page, and reviewed38 numbered equations, two figure groups, five footnotes and15 references. Submission is November8,2014; PDF timestamps are October9,2018. Original submitted bytes and final proceedings were not compared.
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- The model covers1+1 dimensions with coordinated chains. A small-step expansion and continuum window are assumed. The cited unpublished connectivity proof was not received. Model paths are not experimental observations.
- Force and energy-rate expressions retain their proper-time convention. External derivations and empirical validation remain unreviewed. Font substitutions qualify exact appearance; government access, UAP propulsion and full3+1 dynamics are not established.
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James Lyons Walsh, Kevin H. Knuth. Information-Based Physics, Influence, and Forces. November 8, 2014. BioParity S7595. https://bioparity.io/sources/S7595Record data (JSON)