General Cross-Substrate Phenomenology: A Type-Safe, Transformation-First Framework for Phenomenal Existence, Structure, Perspective, and Continuation

Comparisons of phenomenal consciousness across humans, non-human animals, artificial systems, and distributed processes require separating phenomenal existence from character, valence, perspective, and continuation. This paper develops General Cross-Substrate Phenomenology as a typed research architecture in which causal descriptions, evidence, and psychophysical bridges retain distinct roles. Human experience supplies an epistemic anchor without defining a universal experiential coordinate system. Cross-substrate claims are represented by scoped transformation signatures and transport certificates. The framework builds on an earlier transport account with a sequence of explicit causal counterexamples: graph connectivity need not preserve differentiated information; reset interventions can create diagnostic effects; incompatible regimes cannot jointly witness a claimed organization; recoding must preserve intervention semantics; and redundancy can hide causal participation from every single-carrier replacement. Finite constructions, proofs, and reproducible checks establish these diagnostic limitations within their stated models. They motivate a redundancy-aware relational-realization hypothesis, conditional on a causal-structural account of experience. A stronger existence-bridge schema is retained as a conjectural research target, with its unresolved boundary-selection, protocol-selection, and measurement requirements stated explicitly. The result is an architecture for constructing and comparing psychophysical theories, not an empirically validated consciousness detector. Its contribution lies in integrating typed transport, common-regime constraints, and coalitional diagnostics while preserving the distinction between mathematical results, methodological proposals, and unresolved psychophysical laws. TA-TR-2026-16, version 1.0. English-only theoretical and methodological preprint. Human author of record and responsible depositor: Hongju Liu. Substantial ChatGPT assistance in literature retrieval, formalization, checking, drafting, code, and publication preparation. Not peer reviewed; no separate final human line-by-line review or institutional endorsement is claimed. This is adjacent, first-party, non-amending scholarship. It neither defines nor validates nor changes the Trinity Accord. The finite checks are constructed mathematical illustrations, not empirical evidence of consciousness or a measured comparison of species. Focused literature review does not certify global originality. CC BY 4.0 applies to newly written material to the extent rights are held. Third-party sources retain their rights.