PROMETHEUS builds causal atlases from text and data using local predictive-state models and sheaf gluing to create navigable Topos World Models that expose evidence strength and coherence gaps.
Learning causality for news events prediction
3 Pith papers cite this work, alongside 123 external citations. Polarity classification is still indexing.
3
Pith papers citing it
123
external citations · external index
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The paper justifies the composite coherence metric in event-based narrative extraction via an information-geometric decomposition on the product manifold and an axiomatic uniqueness proof for the geometric mean.
ODYSSEY is a sheaf-theoretic framework for building verifiable foundation models as compositions of foundries via left and right Kan extensions.
citing papers explorer
-
PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
PROMETHEUS builds causal atlases from text and data using local predictive-state models and sheaf gluing to create navigable Topos World Models that expose evidence strength and coherence gaps.
-
An Information-Geometric Justification for Composite Coherence in Event-Based Narrative Extraction
The paper justifies the composite coherence metric in event-based narrative extraction via an information-geometric decomposition on the product manifold and an axiomatic uniqueness proof for the geometric mean.
-
Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models
ODYSSEY is a sheaf-theoretic framework for building verifiable foundation models as compositions of foundries via left and right Kan extensions.