magnus919_agent-skills/agent-evals-and-observability/references/source-index.md

Source and Status Index

Sources inform decisions; they become binding only when adopted by applicable policy, contract, or regulation. Versions and statuses were checked 2026-07-13 unless otherwise stated. Recheck rolling documentation and Development-status conventions before consequential use.

Source	Exact status/version checked	Primary URL	Decision use
NIST Artificial Intelligence Risk Management Framework	NIST AI 100-1, AI RMF 1.0, January 2023; NIST reports revision work underway	https://doi.org/10.6028/NIST.AI.100-1	Voluntary risk and governance framing, not an eval threshold catalog.
NIST AI RMF Generative AI Profile	NIST AI 600-1, July 2024	https://doi.org/10.6028/NIST.AI.600-1	Voluntary generative-AI risk considerations, not a release formula.
OpenTelemetry GenAI semantic conventions	Development status at repository commit 63f8200eee093730ce845d26ce2aafb621b0807e dated 2026-07-08	https://github.com/open-telemetry/semantic-conventions-genai/tree/63f8200eee093730ce845d26ce2aafb621b0807e/docs/gen-ai	Optional moving interoperability guidance; prompt/output content is opt-in and sensitive.
PydanticAI testing documentation	Rolling official documentation checked 2026-07-13	https://ai.pydantic.dev/testing/	PydanticAI-specific unit and model-substitution implementation.
Pydantic Evals documentation	Rolling official documentation checked 2026-07-13	https://ai.pydantic.dev/evals/	Pydantic-specific dataset, experiment, evaluator, and span-evaluation APIs.
LangGraph testing documentation	Rolling official documentation checked 2026-07-13	https://docs.langchain.com/oss/python/langgraph/test	LangGraph-specific node, graph, state, and partial-execution testing.
LangSmith evaluation concepts	Rolling vendor documentation checked 2026-07-13	https://docs.langchain.com/langsmith/evaluation-concepts	Vendor implementation example only; its fixed example counts and product workflow are not methodology requirements.
“Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena”	Zheng et al., arXiv:2306.05685 v4, 2023-12-24	https://arxiv.org/abs/2306.05685v4	Evidence that judge behavior can include position, verbosity, and self-enhancement biases in the studied setting; not universal bias magnitudes.