research-document PRODUCT-ARCH-FRONTIER
Research product architecture frontier
Research product architecture: research frontier
Scope and source artifacts
research/product-architecture/clarity-object-model-v0.1.mdresearch/product-architecture/uncertainty-to-action-flow.mdresearch/product-architecture/research-product-boundary.md
These files are treated as one analysis unit because they share an evidence base or form one accepted/current package. Generated derivatives, templates, prompts, private working packets, and superseded runs are not counted as independent conclusions.
Knowledge extraction
- Primary objective: Model uncertainty, evidence, decisions, and commitments across research-product boundaries.
- Primary claims: Clarity can be modeled as belief management and EDF as a downstream execution layer.
- Methodology: Conceptual object and flow architecture.
- Accepted hypotheses/findings: The architecture is a useful provisional integration model.
- Rejected or unsupported hypotheses: ECR-000003 validates Clarity, EDF, or HelixNote.
- Assumptions: Explicit uncertainty and provenance improve human/machine decisions. Objects transfer without unacceptable representation loss.
- Limitations: No usability, accessibility, operational, or economic validation.
- Known uncertainties: Cognitive load; Accessible equivalence; Operational ROI; Security of evidence flow.
- Confidence: bounded by the source package; no confidence is promoted by this frontier analysis.
Adversarial challenge
The architecture is comparatively specific while product efficacy is explicitly unsupported. Evidence that would materially change the assessment includes independent replication, preregistered negative controls, matched causal comparison, or a demonstrated failure of the current measurement instruments. The analysis deliberately treats planned validation as a dependency, not as completed evidence.
Top five opportunities
| Rank | Record | Opportunity | Category | Frontier score |
|---|---|---|---|---|
| 1 | RFR-2026-012 | Cognitive-load and usability study | Human Factors | 184 |
| 2 | RFR-2026-013 | Accessible representation equivalence study | Accessibility | 138 |
| 3 | RFR-2026-011 | Lifecycle cost and return-on-investment model | Economics | 185 |
| 4 | RFR-2026-014 | Adversarial provenance and evidence-integrity study | Security | 136 |
| 5 | RFR-2026-003 | Matched incremental-utility experiment | Experimentation | 490 |
Semantic duplicates were merged into the linked repository-wide records. The five selections maximize uncertainty reduction and repository reuse, rather than creating five unique labels for each source package.