AI Engineer first-party retrieval
Incomplete metadata-heavy preview of retrieval, graph expansion, provenance, and refusal over AI Engineer program evidence.
Read the paperWorking papers · reproducible systems research
Questions, source evidence, experimental design, measured results, charts, failure cases, and limitations—published together so an engineering claim can be inspected and reproduced.
Read the current reports ↓Current working papers
Each paper has a checked receipt, a source-linked figure, a reproducible protocol, and an explicit evidence boundary.
Incomplete metadata-heavy preview of retrieval, graph expansion, provenance, and refusal over AI Engineer program evidence.
Read the paperA reproducible YouTube-to-knowledge-graph bake-off across managed and self-hosted ASR, forced alignment, and speaker diarization.
Read the paperEditorial policy
Source versions, model revisions, checksums, and measurement conditions accompany the claim.
Charts show observed comparable measurements; missing human gold is never replaced by invented accuracy.
Incomplete datasets, provisional labels, missing transcripts, and unsupported conclusions appear beside the results.