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# Reference Graph
-As a new feature, fuzzy-matched references are available on an "inbound" and
-"outbound" basis in the web interface.
+Since 08/2021 references are available on an "inbound" and "outbound" basis in
+the web interface.
The backend reference graph is available via the [Search API](./search_api.md)
under the `fatcat_ref` index.
+## Background and Mode of Operation
+
+Release entities in fatcat have a [refs fields](./entity_release.md) which
+contains citations, which in turn may be identified in different ways. Another
+source of reference metadata is provided by structured data extraction from PDF
+with tools such as [GROBID](https://grobid.readthedocs.io). The raw reference data combined
+amounts to over 2B documents which we take as input for a batch process, that
+derives the graph structure.
+
+Two main modes of citation matching are employed: identifier based matching and
+fuzzy matching. Identifier based matching currently works with DOI, Arxiv ids,
+PMID and PMCID and ISBN. Fuzzy matching employs a scalable way to cluster
+documents (with pluggable clustering algorithms). For each cluster of match
+candidates we run a more extensive verification process, which yields a match
+confidence category, ranging from weak over strong to exact. Strong and exact
+matches are included in the graph.
+
+The current reference search index contains both matches and yet unmatched
+references. We expect this dataset to be iterated over regularly as there are
+a few dimensions along which the dataset can be improved and extended.