Loop provenance
How observation, revision, feedback, and stopping conditions evolve inside a loop.
Formal definition
Loop provenance. A canonical LLMography term. See the formal definition in the article below.
Formal definition
Loop provenance records how a decision cycle iterates: what was observed, what was revised, why it continued, and why it stopped.
In plain language
Loop provenance is not a dashboard widget. It is a way of naming a part of Human–AI work that otherwise disappears into logs, chat history, or an unexamined final answer.
Why it matters
As systems move from prompts to agents and loops, decisions are produced across many steps. Without this concept, those steps remain difficult to reconstruct, compare, or audit.
Diagram
The signature object of LLMography is a trajectory: human, model, tool, observation, verification, revision, decision. Loop provenance occupies a distinct position on that object.
Related metrics
See the proposed measures for loop autonomy, verification strength, and decision-trace completeness. These are research indicators, not certified scores.
Example
A recommendation is issued after a tool call fails verification and a human requests a narrower claim. Reconstructing that path is an instance of this concept in use.
Citation
Bousmah, M. LLMography concept note: Loop provenance. LLMography research site.