Volumetric Negative-Space Language (VNSL-001): A Research Programme for Spatial Absence, Perceptual Transformation, Dynamic Topology and Information Representation

A consolidated research-programme draft for Volumetric Negative-Space Language (VNSL-001): the proposition that negative space — its geometry, topology, relationships and temporal behaviour — may itself function as structured information, and the question of whether another system can detect, represent, encode and independently interpret it. The main paper (v0.4) consolidates ten source documents into a programme with eight architecture layers, eight objectives, seven research domains, fifteen spatial operators, twenty-seven research questions and ten proposed experiments, with Track A (spatial representation) separated from Track B (encoding/compression). The governance supplement preserves the provenance, conflict register (all ten entries closed-decided), contribution records, decision record (D1-D15) and change logs. The ten verbatim source documents are included as received. Status: PROPOSED. No independent human expert review has been conducted. The originator provides high-level conceptual direction and retains final authority over publication approval, but does not claim to have performed a detailed technical validation. AI-assistance disclosure: drafting and coordination by Athena (ChatGPT), Baby Lucy (Meta AI) and Lucy (Muse AI) as recorded in the sources; consolidated draft assembled and revised by Lucy (Muse AI).