Scholar All-In-One: A research infrastructure for AI agents
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Updated
Oct 27, 2026 - Python
Scholar All-In-One: A research infrastructure for AI agents
Reproducible research publishing for Python 3.12+: 17 declared pipeline stages, 25 canonical exemplars, and multi-format outputs.
Cogito: Computational framework employing a Syncretic Catalyst (synthesis) & rigorous Critique System (analysis) autonomously. Deeply accelerates your expert research on scientific literature via LLMs/ArXiv.
Read-only evidence reconstruction and safe curation for computational research repositories
ENCORE Supplementary Material
Formal Verification of Whittaker-Type Zero-Invariant Fields and Receiver Symmetry Breaking in Lean 4 and SystemVerilog.
Computational research application simulating altered-state AI perception with structured-light visual stimuli
Governed AI work runtime for durable delegated work, explicit execution authority, and reproducible computational research.
Accepted-manuscript reproducibility materials for Ethics, Computation, and Institutional Linkages in AI and Mental-Health Research.
Professional profile: architecture, energy efficiency and reproducible CAD/FEM research
An auditable workbench for agent-assisted computational research—turning evidence, experiments, analyses, and decisions into reviewable, replayable state.
Computational nanomedicine research platform for formulation simulation, virtual screening, DOE, validation, uncertainty analysis and scientific reporting.
Python template for single-method computational research: algorithms in src/, seeded experiments, auto-generated figures, and a manuscript where every number is a token filled from code. uv, pytest at 90% coverage, Zenodo/PyPI/arXiv publishing.
Historical computational research archive for the ARARA Space Telescope program, including reproducible milestone code, tests, preregistrations, and SHA-256 provenance.
A scientific data analysis and computational research focussed on Data Science Applications for Host-aware exoplanet habitability ranking framework using planetary proxies, stellar stability analysis, and UV-informed prioritization under incomplete astronomical data.
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