VOLE-Field: Deterministic Multimodal Field-State Representation, Inverse Compilation, Entropy-Native Persistence, and Late Materialization — Broad Prior-Art Technical Disclosure and Research Architecture
David Ha, Jürgen Schmidhuber · arXiv (Cornell University) · 2018
Abstract Conventional media systems usually make frames, samples, surfaces, or sensor arrays the normative observation domain, even when the physical bitstream uses prediction, transforms, entropy coding, object reuse, or other internal structure. Cameras persist frame-oriented captures, audio systems expose pulse-code samples, graphics pipelines persist baked textures and render products, simulations often dump snapshots, and filesystems make logical byte strings the normative application-visible object while generally hiding their physical representation beneath that interface. These choices are often correct: the generating state may be unknown, unstable, expensive to recover, or more costly than the observations themselves. They are not, however, laws of representation. This paper discloses VOLE-Field, a general architecture for treating persistent, deterministic, multimodal field state and its evolution as first-class computational objects, while treating raster frames, pixels, audio samples, sensor samples, rendered views, executable machine-code regions, and other externally consumed values as observations that may be materialized when required. The architecture combines five ideas: (1) bounded deterministic field state and explicit state transitions; (2) typed observation requests over space, time, modality, endpoint, and executable target context; (3) explicit residual closure for information not reproduced by the chosen field explanation; (4) inverse compilation from observations into candidate deterministic explanations; and (5) entropy-native persistence that stores explanations, references, configuration, and residual innovation rather than presuming that materialized observations are the privileged durable form. VOLE-Field is intentionally broader than a graphics scene graph, neural radiance field, video codec, procedural texture system, event log, simulator checkpoint format, digital twin, or content-addressed filesystem. It may incorporate ideas from all of these while imposing a different architectural boundary: the durable representation is a bounded field description; the decoder/materializer is deterministic; search or learned inference may propose representations but receives no normative decoding authority; and any exact profile closes the difference between explanation and required observation explicitly through residual information or a literal fallback. The architecture is grounded in separate native-Rust research implementations and disclosures. Those sibling artifacts report deterministic procedural video state, graphics observation courts, audio sample-window materialization, representation-aware persistence, and residual-observer experiments. This paper cites those reports as project evidence, not as independent third-party validation. VOLE-Camera defines the sensor-native acquisition boundary but remains deliberately at an earlier simulator-first implementation stage; physical-camera field reconstruction is therefore disclosed here as a research direction, not an established result. The claim of this paper is architectural rather than universal-performance based. It does not assert that all observations have compact explanations, that a unique physical world can be recovered from sensors, that binaries imply recoverable original source, that procedural state always beats conventional codecs, or that short seeds encode arbitrary information. It establishes and develops the broader design space in which state, evolution, observation, innovation, persistence, materialization, evidence, and trajectory are separated explicitly, and it specifies falsifiable methods by which implementations can be judged. Keywords deterministic field-state representation; multimodal state; procedural storage; inverse proceduralization; inverse compilation; late materialization; observation surfaces; residual closure; entropy-native persistence; content-addressed storage; deterministic replay; procedural media; simulation-native storage; executable field state; binary lifting; instruction materialization; agent-native representation; evidence-native validation; trajectory-native state; exact reconstruction; bounded representation; residual-guided search.