Self-Healing Knowledge Graphs: Graphs That Fix Themselves
Provenance is not truth. A triple can be perfectly traced to a published source and still be wrong — contradicted by a later signal, inconsistent with the schema, or hallucinated by the model that extracted it. The industry has spent years building better provenance; the harder problem is what to do when provenance says the fact is sourced but the fact is still garbage. The sharpest 2026 statement of this is TGComplete, which finds that most gold-correct edges have no supporting passage even under exhaustive retrieval — so textual verification measures provenance, not correctness (Kang et al., 2026, arXiv:2606.15833).
This is article #3 in the Autonomous Knowledge Graphs series, and it is a guardrail. Where #1 builds the lead and account graph and #2 reasons over it, this article keeps it accurate over time. It obeys the same fleet constraints — LangGraph control, Cloudflare data, LangSmith observability, DeepSeek-only egress, a ≥ 0.80 eval bar, grounding-first provenance, draft-first approval — and runs as a background sweep over the stored graph.
