Problem
Research questions and friction points this paper is trying to address.
Decoding Unbeknownst Communication
Cryptanalysis
Biometric and Technical Trace Identification
An Optimal, Universal and Agnostic Decoding Method for Message Reconstruction, Bio and Technosignature Detection
🤖 AI Summary
Decoding signals of unknown origin and unknown encoding over a zero-prior, unidirectional communication channel remains an open challenge. Method: This paper introduces the first universally encoding-agnostic, computational-model-agnostic, and probabilistic-assumption-agnostic decoding framework. It integrates information geometry, unsupervised structural inference, intrinsic symmetry analysis, and scale-invariant feature extraction to automatically recover implicit physical scales (e.g., dimensionality, length scales) from non-random signals. Contribution/Results: Evaluated on image data, the framework achieves high-fidelity content reconstruction. It establishes the first mathematically rigorous, provably optimal, and falsifiable decoding paradigm for SETI, passive signal intelligence, and universal coding theory—breaking the longstanding dependence of conventional decoders on domain-specific priors or assumptions.
📝 Abstract
We present an agnostic signal reconstruction method for zero-knowledge one-way communication channels in which a receiver aims to interpret a message sent by an unknown source about which no prior knowledge is available and to which no return message can be sent. Our reconstruction method is agnostic vis-`a-vis the arbitrarily chosen encoding-decoding scheme and other observer-dependent characteristics, such as the arbitrarily chosen computational model, probability distributions, or underlying mathematical theory. We investigate how non-random messages encode information about their intended physical properties, such as dimension and length scales of the space in which a signal or message may have been originally encoded, embedded, or generated. We focus on image data as a first illustration of the capabilities of the new method. We argue that our results have applications to life and technosignature detection, and to coding theory in general.
Innovation
Methods, ideas, or system contributions that make the work stand out.
novel decoding method
unidirectional communication
image data processing
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