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CAF-7M

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CAF-7M is a 7-million-sample dataset for context-aided forecasting, introduced by researchers in a new arXiv paper.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.

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How to read this: the white-ringed node is CAF-7M. Surrounding nodes are direct relationships; the second ring is what those neighbors connect to. Edge thickness scales with source-article evidence. Click any node and choose Center graph here to walk the graph.