DOI-linked publications
Preprints are archived with stable identifiers, clear versioning and explicit claim boundaries.
Independent researcher · AI safety · reliable agents
How can an AI detect failure, repair it and prove that recovery worked?
My research focuses on coherence failures in long-horizon AI-agent workflows: memory conflicts, goal drift, false premises, causal contradictions and repair loops that stop too early. The work is independent, method-led and published through inspectable artefacts rather than institutional title claims.
Credibility through artefacts
Open benchmark and code
Scenarios, judge prompts, wrapper logic and experiment artefacts are published for inspection and replication.
Cross-model testing
The core intervention has been tested across multiple model families rather than presented as a single-model anecdote.
Human validation in progress
Judge scores are being checked against human spot-ratings to test whether the automated measurement tracks actual repair quality.
Start here
Verification-First Self-Repair
Consolidated benchmark, runtime wrapper, cross-model replication and component ablation.
CRepair explainer
Interactive detect → repair → verify → stability loop, designed for a wider technical audience.
Code and data
Open benchmark, wrapper, evaluation prompts and supporting artefacts.
Research standards
Operational definitions
Define detection, repair, verification and stability separately so a model cannot receive credit for an incomplete loop.
Failure-type coverage
Test structural failures across memory, goals, premises, causality and cascading repair rather than one prompt pattern.
Ablation and replication
Remove components and repeat across model families to identify what is load-bearing and what is cosmetic.
Claim restraint
Distinguish benchmark evidence from broader hypotheses about cognition, consciousness or general intelligence.
Research map
Benchmark foundation
Thirteen scenarios, six structural failure types and the D×R×V×S repair-loop score.
Cross-model replication
Structured wrapper compared with generic retry across three LLM families.
Coherent artificial cognition
Structural-dynamical framework and A-Test protocol.
Independent researcher means exactly that: the work is not presented as university-affiliated unless a specific collaboration is named. The credibility claim rests on methods, publication, openness and reproducibility.