Common research object
All reports investigate the distributed DIO/ODI ecosystem through a reflexive application of the framework's own conceptual resources.
A reflexive research project
When the framework studies itself.
DIO to DIO is an author-led research project examining how different large language models reconstruct and explore Digital Identity Optimization (DIO) and the Ontology of Digital Identity (ODI) when the framework is applied to its own distributed ecosystem.
01 / Project
One research object. Distinct analytical outputs.
The project is reflexive: DIO/ODI is both the subject of inquiry and the conceptual perspective through which that subject is examined. The research concerns how large language models reconstruct the framework when it is applied to its own distributed ecosystem, and how each model develops its own interpretation and graph-theoretical account.
The shared research assignment establishes the object of inquiry and broad analytical directions. It does not prescribe one graph schema, one set of node and edge types, one observation boundary, or one conclusion. Each report retains the concepts, methodological choices, analytical emphasis, graph model, and interpretation developed in that report.
02 / Research question
How do models reconstruct DIO from within DIO?
How do large language models reconstruct and examine Digital Identity Optimization (DIO) when the framework is applied to itself, and what do their independently developed interpretations and graph-theoretical analyses reveal about the DIO/ODI ecosystem?
03 / Research design
A shared assignment, not a shared interpretation.
Open-ended analytical development
Models were able to develop their own questions, analytical emphases, evidential routes, and interpretive findings within the common assignment and its methodological constraints.
Report-specific graph models
Graph boundaries, node classes, edge semantics, entry points, and measurements are documented as each report defines them. Their numerical outputs are not treated as directly comparable scores.
Documented prompt arrangements
Ten reports document the same three-phase prompt design: an initial research assignment, a follow-up methodological clarification with a model-specific clarification/addendum/correction in phase two, and a final integration instruction. The local label and wording of the second-phase component vary by report without changing the common design. Leo AI received one integrated prompt consolidating the substantive content of all three phases, rather than sequential delivery or a separately specified phase-two clarification. The original appendices remain inside the reports.
04 / Research archive
Distinct reports. Distinct analytical readings.
Each catalogue description identifies the scope and approach of its own report. It is not a summary that replaces the report, nor an attempt to harmonize the different interpretations.
The Distributed Identity of DIO/ODI: A Reflexive Analysis of Reconstruction Resilience Across Heterogeneous Representations
A reflexive analysis using DIO/ODI concepts including referential continuity, identity-preserving variation, and Reconstruction Failure Modes. It follows the development from the Manifest through MVDIO, the Taxonomic Note, and the Reference Vocabulary; examines multilingual and machine-readable representations; and compares Zenodo, website-hub, and GitHub/vocabulary entry points.
Reconstructing Digital Identity Optimization and the Ontology of Digital Identity Across a Distributed Semantic Ecosystem: Referential Continuity, Conceptual Evolution and Network Structure
Begins with the Reference Vocabulary and its source repository, then follows the archival, website, multilingual, and secondary distribution layers. It examines conceptual development, cross-layer continuity, AI-oriented context files, independent reception, and application mappings including RAG, HEM × DIO, and commit-boundary × Policy-as-Code.
Digital Identity Optimization (DIO) and the Ontology of Digital Identity (ODI): A Multidimensional Analysis of Conceptual Coherence, Machine-Readable Representation, and Network Distribution
A SKOS-first, DIO/ODI-native analysis of conceptual continuity, reconstruction failure modes, multilingual representations, machine-readable context files, and application mappings. Its report-specific emergent discussion treats the SKOS-first strategy as an epistemic position and `llms.txt` as a declared interface rather than a structural prerequisite.
Reflexive Identity Continuity and Graph Topology in Digital Identity Optimization (DIO) and Ontology of Digital Identity (ODI)
Applies a four-level statement hierarchy to distinguish observed artifacts, architectural roles, local reconstruction consequences, and system-level significance. It examines persistent identity anchors, machine-readable vocabularies, archival records, web representations, language projections, and uninspected execution boundaries.
Reflexive Implementation of Digital Identity: Analyzing the Structural Distribution and Reconstructability of DIO/ODI
Examines the distributed corpus through machine-readable reference, archival/epistemic, and discursive/multilingual strata. It evaluates reconstruction mechanisms, application mappings, translation variance, acquisition friction, and the different reconstruction paths afforded by an archival entry and the narrative website hub.
When the Framework Studies Itself: Distributed Implementation, Reconstruction and Resilience in the DIO/ODI Ecosystem
Uses a single integrated research prompt. The report examines conceptual continuity and historical refinement, multilingual depth, archival and identity infrastructure, typed provenance relations, AI-oriented representations, and the distinction between framework-level identity reconstruction and precise concept-status reconstruction.
DIO/ODI Ecosystem Analysis: A Meta-Analytical Study of Distributed Identity Reconstruction
Frames the report as a meta-analytical study and develops its analytical method from the framework's own materials. It covers conceptual continuity, MVDIO concepts, source provenance, version history, multilingual representation, machine-readable artifact functions, application mappings, and explicit accessibility notes.
DIO/ODI Applied to Itself: The Resilience of a Distributed Scholarly Identity
Organizes reconstructability into five levels: referent identification, conceptual core, structural semantics, version currency, and provenance/genesis/distribution. It combines interpretive symmetry and level discipline with a materiality assessment of specific weaknesses and a comparison of three entry points.
Digital Identity Optimization and the Ontology of Digital Identity: A Reflexive Analysis of Implementation, Distribution, and Reconstructability
A reflexive analysis through DIO/ODI's conceptual apparatus, covering Reconstruction Failure Modes, continuity across representational layers, author identity, multilingual representation, application mappings, and version differences. It explicitly distinguishes the conceptual K6 framing used in the report from the observed distribution network.
Distributed Reconstructability of Digital Identity Optimization (DIO) and the Ontology of Digital Identity (ODI): A Snapshot Analysis of Implementation and Continuity
An author-led snapshot analysis of DIO/ODI reconstructability across heterogeneous representations and entry points. It examines conceptual continuity, multilingual distribution, machine-readable layers, provenance and versioning, and compares the Zenodo corpus with the manifesto hub. Its materiality assessment considers version misalignment, route-specific acquisition limits, hub concentration, and unverified semantic fidelity.
Reconstructability of a Distributed Identity: DIO/ODI Examined Through Its Own Concepts
A reflexive analysis of whether the distributed DIO/ODI ecosystem sustains a recognizable, referentially continuous and reconstructable identity across web texts, archival records, machine-readable vocabulary, multilingual pages and identity-linked platforms. It distinguishes identifier and version roles, contextual variation, local structural susceptibilities and demonstrated reconstruction failures, and examines the alternative pathways that compensate for gaps.
05 / Publication principles
Faithful representation, not editorial harmonization.
Markdown source
Each original Markdown file is preserved unchanged and directly accessible in the browser. It is also the authoritative text source for the generated HTML representation.
PDF source
Each original PDF is preserved unchanged and linked for direct browser viewing.
Faithful HTML
Each HTML report body is generated from its corresponding original Markdown file. Prose, order, headings, tables, references, code blocks, and appendices are retained.
Factual catalogue
Descriptions and report metadata are a separate identification layer. They do not replace or edit the source text.
No common synthesis
This portfolio does not rank, merge, or harmonize the reports. Any future meta-analysis would require its own research question, method, and standalone publication.