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GenesisAeon/cosmic-moment: Discrete moments of cosmic emergence – the singular points where modulated entropy duality collapses into conscious frames

Authors: Claude; JohannRömer;

GenesisAeon/cosmic-moment: Discrete moments of cosmic emergence – the singular points where modulated entropy duality collapses into conscious frames

Abstract

• Discrete detection of collapse points where modulated_entropy(S_A, S_V) exceeds threshold • CLI `cm detect` + `cm collapse` – instant observation of conscious frame birth • 99 % Coverage, ruff + mkdocs --strict clean • Full integration: medium-modulation (resonant medium) + entropy-governance + implosive-genesis chronology The mathematical birth of conscious presence is now observable, reproducible and citable." Built directly on medium-modulation, entropy-governance and implosive-genesis chronology. Install pip install cosmic-moment Usage cm detect --threshold 0.618 cm collapse --t 3.14 Quick start (Python) from cosmic_moment.core import CosmicMoment cm = CosmicMoment() moments = cm.detect(threshold=0.618, steps=100) print(f"Detected {len(moments)} cosmic moments") frame = cm.collapse(moments[0]) print(frame)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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