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arXiv AI By Andrew Miracle, Phyl Georgiou, Christine Okoth, Ese Monday

Toward a Compositional Knowledge Architecture for a Shared Organizational Cortex

Read the original on arXiv AI →

The paper proposes a four‑layer architecture—Signals, Domains, Claims, and Dimensions—to preserve and revise organizational interpretations of evidence. It introduces a truth‑maintenance network that updates the standing of interpretations as new evidence arrives and uses validated, versioned Dimensions to position these interpretations along named axes. Experiments show that incorporating Dimensions improves retrieval performance, with a 0.028 nDCG@10 gain for the Dimension term and overall nDCG@10 increases of 0.081 and 0.053 over baseline configurations.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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