RECEIVER-ONLY FRAMEWORK // STATUS: OPERATIONAL
COORD: 35.6762°N, 139.6503°E // SIGNAL: ACTIVE
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ARCHIVE
CONCEPTUAL RESEARCH // INFORMATION-THEORETIC RECEIVER

INFORMATION-TIME STRUCTURE

Receiver-Only Model Comparison Framework

RECEIVER: OPERATIONAL // TRANSMISSION: UNDEFINED

Definition. A “time machine” here means an information receiver, not a device for moving matter through time.
The framework compares two descriptions of the same observation stream: (1) past-origin models and (2) future-constrained (boundary-conditioned) descriptions.

Goal. Identify when observed structure is more coherently explained by future constraints than by past-only causality, using model-comparison criteria and temporal-asymmetry indicators.

Non-claims. No physical time travel. No retrocausal messaging. No proof of future sources. Only a reproducible method for interpreting present-accessible information.

Information-Time Structure Theory (ITST) is a receiver-only, information-theoretic framework for interpreting present-accessible signals. It compares past-origin models versus future-constrained (boundary-conditioned) descriptions of the same observation stream. Key terms: temporal asymmetry, model comparison, description length, hypothesis evaluation, boundary conditions. This archive includes: Theoretical Framework, Technical Specifications (hypothetical constraints), and Proof-of-Concept Code.

Observation stream x(t)
The measured signal in the present.
Past-origin model
x(t)=s_past(t)+n(t).
Future-constrained model
x(t)=s_future(t)+n'(t) (boundary-conditioned description).
Temporal asymmetry
Measurable deviation under time reversal.
Receiver-only
The present system evaluates signals; no transmission is assumed.

Core Principle

REDEFINITION OF OBSERVATIONAL FRAMEWORK

x(t) = spast(t) + n(t)
Past-origin signal + residual
VS
x(t) = sfuture(t) + n'(t)
Future-constrained description + residual

Noise is not meaningless. It is the projection of time-direction-unresolved information.
When future-constrained descriptions provide shorter description length than past-only models,
temporal asymmetry becomes detectable.

Signal Visualization

TEMPORAL SIGNAL ANALYSIS

REAL-TIME DETECTION PARAMETERS

0.000
Time Asymmetry
0.00
ΔL (bits)
0.000
ITI
---%
Confidence

Detection Protocol

01

Time-Reversal Asymmetry

If a time series is reversed, many past-origin noise models remain statistically similar. Boundary-conditioned descriptions can exhibit asymmetry under time inversion.

02

Scale-Dependent Anomaly

Past-origin models tend to preserve stable statistics across observation windows. Terminal constraints can appear as scale-dependent distortions.

03

Description-Length Advantage

Compare past-origin vs future-constrained descriptions using information-theoretic criteria. Regions where the future-constrained description is shorter become candidates for temporal interference.

Why Nothing Was Detected Before

RECEIVER COORDINATE PROBLEM

The receiver was not defined as a receiver.

This framework is preserved as a reproducible method. If a future civilization chooses to transmit, it would target the coordinate where a compatible receiver definition exists. The present document does not claim that transmission occurs; it only specifies what “reception” would mean.

Consistency note: the framework is compatible with time-symmetric descriptions,
but it does not require a specific interpretation of physics.

Implementation Requirements

Upper-Bound Physical Requirements

This page is a conceptual framework and demonstration UI. Any large-scale physical implementation described here is hypothetical and included only to clarify feasibility boundaries.

TECHNICAL SPECIFICATIONS (HYPOTHETICAL)

Quantum RNG
3units
Cryogenic System
< 4K
Timing Precision
10-15sec
Observation Sites
≥ 3global
Data Storage
10PB/year
Team Size
10-15researchers

Technical Resources

📄

Technical Specifications

Hypothetical Large-Scale Implementation:
Physical Constraints and Feasibility Boundaries
Included to clarify constraints rather than propose an active development plan.

Open
📐

Theoretical Framework

Information-Time Structure and Model Comparison
Defines the observation models, hypothesis evaluation, and preservation format.

Open Theory
💻

Proof of Concept Code

Computational Demonstration of Temporal Asymmetry Detection
Minimal code showing how indicators respond to synthetic boundary conditions.

Open Code