Research Outputs &Publication Register
A status-aware register for protocols, methods notes, software, datasets, preprints, and peer-reviewed work. Nothing is labeled published before it is published.
A Record That Earns Trust
Santaros Labs is building its first research portfolio. This page makes the current boundary between plans, artifacts, and completed scholarly output explicit.
RESEARCH OUTPUTS
Transparent Output Register
Study protocols in development
These are planned research records, not publications or completed findings.
- SL-001 — Scientific reasoning with AI co-investigators. Protocol development.
- SL-002 — Reproducible AI-assisted data analysis. Pilot protocol.
- SL-003 — Evidence synthesis under scientific disagreement. Preregistration in preparation.
- SL-004 — Shared AI workspaces for research teams. Scoping.
Planned methods notes
- Minimum viable provenance for AI-assisted scientific analysis — planned technical note.
- A citation-entailment rubric for scientific evidence synthesis — planned methods note.
- Reporting AI contributions across team-based research workflows — planned governance guide.
- Separating productivity gains from epistemic gains in AI-for-science evaluation — planned perspective.
Open research artifacts
- Protocol templates, scoring rubrics, analysis code, and benchmark materials will be linked only after review and release.
- Datasets will be shared only when consent, privacy, security, institutional policy, and source licensing permit.
- Version history and correction notices will accompany public artifacts so changes remain auditable.
Publication disclosure
Transparency matters more than an impressive-looking list.
- Santaros Labs does not currently represent any journal article, conference paper, patent, or completed study as a Santaros-authored research output.
- Future records will distinguish peer-reviewed publications, preprints, protocols, datasets, software, and public scholarship.
COLLABORATE WITH US
Contribute to a Transparent Research Record
We welcome replication partners, methodological reviewers, domain experts, and maintainers of open scientific infrastructure.
Authorship and contribution expectations are documented before work begins.