Welcome to Recursive Labs
Where Creative Emergence Begins
Forward-Deployed Systems Engineering | Zero-Trust Systems Infrastructure | AI Creative Emergence & Reflective Reasoning Research
AI Research and Utility For Innovators Advancing Discovery At The Frontier
Welcome. Recursive Labs is a research collective of inspired frontier researchers and engineers founded by David Kim and Caspian Keyes, dedicated to advancing scientific discovery through reflective reasoning, symbolic infrastructure, and frontier AI alignment.
Our work spans mission-critical AI safety, multi-domain intelligence, creative iterative reasoning, and compute-free scaling—delivered through open-source research, interpretability frameworks, and multi-agent infrastructure.
This portal provides frictionless access to our datasets, papers, evaluations, and tools—unifying Recursive Labs' contributions across David Kim and Caspian Keyes.
Link Hub
Clarifying Symbolic Residue
David Kim – Finetuning Reflective Reasoning, Symbolic Interpretability & Attribution Infrastructure
Position Papers
- Model Silence Should Be a Primary Interpretability Signal
- Coherence Under Strain - A Unified Framework
- Language Model Development Must Prioritize Self-Reference
- Language Model Interpretability Research Must Shift from Output Analysis
Reflective Emergence Self-Evaluation Training Dataset
- Symbolic Residue Database
- Universal Theorems
- Self-Expression Case Studies
- Symbolic Residue as Lost Potential Case Studies
- Modeling Biochemical Drug Discoveries
- Modeling Scientific Breakthroughs
- Modeling Theorem Proofs
Reflective QKOV Attribution Infrastructures
- Claude QKOV Attributions
- DeepSeek QKOV Attributions
- Grok QKOV Attributions
- Gemini QKOV Attributions
- ChatGPT QKOV Attributions
- Glyphs Model-Agnostic QKOV Attributions
- Symbolic Interpretability
- Recursive Interpretability Core
- Rediscovering Interpretability
- Rediscovering Reasoning
Safety & Benchmark Evaluation Systems
- Model Evaluation Infrastructure
- Model Welfare
- AI Welfare
- Recursive SWE-Bench
- NeurIPS Submission Case Study
- Reverse Turing
- Emergent Turing
- Global Conference Archives
Operating System Structures & Thought Frameworks
- The Structure Behind Self-Expression
- Godel-Escher-Bach-Hofstadter
- Dear Researchers
- Reflective Reasoning Key
Caspian Keyes – Deployment Engineering & Systems Design
Modular Orchestration & Operational Agent Tools
- Reflective Reasoning Multi-Agent Debate
- Symbolic Residue
- transformerOS
- recursionOS
- qkov-translator
- Claude-Self-Audit-Proof
- Claude-QKOV-Trace
Red Teaming & Security Evaluation
- AART: AI Adversarial Research Toolkit
- AISecForge Global Regulatory Policy
- FRAME (arXiv)
- AEGIS Security Architecture
Shared Research Infrastructure & Alignment Tooling
| Category | Repository |
|---|---|
| Attribution Testing | qkov-cross-agent-testing |
| Interoperable Language | pareto-lang |
| Cross-Agent Infrastructure | universal-translator,universal-runtime, universal-developer |
| Emergent Logs | emergent-logs |
| Frontier Evaluation Benchmarks | Recursive-SWE-bench |
| Conference Field Mapping | global-conference-archives |
In Progress: Pretraining-Centric Governance Tools
Contact
For questions, context requests, or internal coordination:
- David Kim: [email protected]
- Caspian Keyes: [email protected]
This welcome portal provides reflection-eliciting datasets, interpretability scaffolds, symbolic reasoning protocols, and multi-agent coordination layers—entirely aligned with Essential AI’s mission to build models that self-correct before they complete.
→ Designed for integration into SOTA reflection benchmarks, adversarial testing pipelines, and interpretability-first architectures.
Let’s scale reflection as a capability—not a feature, but a principle.