Results

PaperS7595

Information-Based Physics, Influence, and Forces

James Lyons Walsh, Kevin H. Knuth. arxiv.org. November 8, 2014.

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.

Complete supplied ten-page preprint read
PaperS7588

Information-Based Physics and the Influence Network

Kevin H. Knuth. arxiv.org. August 15, 2013.

Knuth develops an influence-network model that conditionally reproduces familiar1+1-dimensional physics relations. Coordinated observers and rate assignments are assumptions. He acknowledges a microscopic coordination problem; gravity extensions remain suggestions. The essay provides no UAP observation or independent empirical validation.

Complete supplied eleven-page essay read; external derivations unreviewed
PaperS7575

Modeling a Sensor to Improve its Efficacy

Nabin K. Malakar, Daniil Gladkov, Kevin H. Knuth. arxiv.org. March 18, 2013.

A calibrated light-sensor model helps a robot locate a known white circle with fewer reported measurements. The task uses fixed lighting, distance and prior shape assumptions. Supplied uncertainty values are missing, and native equation, count and date discrepancies remain unresolved. These results do not establish general object recognition or UAP performance.

Complete supplied18-page preprint read; final version and raw gaps
PaperS7635

Inferences about Interactions: Fermions and the Dirac Equation

Kevin H. Knuth. arxiv.org. December 11, 2012.

Knuth connects ordered-event projections and measurement-sequence inference to an at-rest 1+1-dimensional Dirac checkerboard model. Coordinated observers, local flatness and chosen amplitudes condition the construction. A mass relationship is hypothesized and higher-dimensional extension proposed. This theoretical lineage supplies context rather than independent UAP observations.

Complete supplied preprint text and selected native diagrams read
PaperS7576

Entropy-Based Search Algorithm for Experimental Design

N. K. Malakar, K. H. Knuth. arxiv.org. August 29, 2010.

Nested Entropy Sampling searches for informative experiments in synthetic two-dimensional landscapes. Small sample counts can become trapped at local peaks, while higher counts reduce compression. The robot example is a simulation, and reported computation savings count entropy evaluations. Finite successes do not establish global convergence or physical measurement validation.

Complete supplied8-page preprint read; final proceedings and implementation gaps
PaperS7752

Measuring on Lattices

Kevin H. Knuth. arxiv.org. September 21, 2009.

Knuth develops valuation and inference rules on ordered lattices under stated assumptions. This formal methods paper supplies no empirical UAP observations; proof, normalization and later-rendering issues remain explicit.

Complete supplied thirteen-page manuscript; formal inference framework
PaperS7754

Deriving laws from ordering relations

Kevin H. Knuth. arxiv.org. March 3, 2004.

Knuth develops formal valuation rules with probability, geometry and quantum examples. The supplied manuscript is fully reviewed; open conditions, prior assignments and external physical constraints remain explicit, with no empirical UAP data or independently authenticated proofs.

Complete supplied32page manuscript; glyph, proof and original-version gaps

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