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Sprint projectSep 11, 2026Kiel, Germany

QENDROVA: An Executable Decision-Boundary Protocol for AI Incident Evidence

Flamur Koca · Team QENDROVA

Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: QENDROVA: An Executable Decision-Boundary Protocol for AI Incident Evidence

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QENDROVA makes the boundary between incident evidence and decision executable. Applied to the public OpenAI-Hugging Face incident, it separates 20 atomic claims across five decision rooms, preserves named source scope and unresolved remainder, and keeps system proposals distinct from human decisions. Four resolvable questions bind an input, a check defenders can run immediately, a resolution condition, a HOLD boundary, and a falsifiable prediction. A local dossier retains source binding, support scope, rationale, proposal, human action, revision, final state, and integrity fingerprint; later evidence enters append-only. Deterministic suites establish repeatable protocol behavior inside frozen fixtures, not incident truth, reviewer competence, control effectiveness, or universal product superiority.

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  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
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  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
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  1. I like the idea of forcing incident decisions to have explicit evidence requirements and a clear HOLD state when the evidence is not sufficient. The protocol feels practical rather than purely conceptual. My main question is how well it works outside this specific incident. Testing it with different incidents and with independent reviewers would make the results much more convincing.

  2. Very useful framework for establishing baselines and comparing them with future incidents. I'm curious to see how such incident evals can apply pressure to labs regarding incident disclosure.

Cite this project

@misc{koca2026qendrova,
  title = {{QENDROVA: An Executable Decision-Boundary Protocol for AI Incident Evidence}},
  author = {Flamur Koca},
  year = {2026},
  month = sep,
  note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/qendrova-an-executable-decisionboundary-protocol-for-ai-incident-evidence-cbdd}},
  url = {https://apartresearch.com/sprints/projects/qendrova-an-executable-decisionboundary-protocol-for-ai-incident-evidence-cbdd}
}

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