diff --git a/docs.feldera.com/docs/literature/papers.md b/docs.feldera.com/docs/literature/papers.md
index ded260e34c1..af942bee94b 100644
--- a/docs.feldera.com/docs/literature/papers.md
+++ b/docs.feldera.com/docs/literature/papers.md
@@ -20,7 +20,7 @@ The following publications and awards describe Feldera's theoretical foundation,
   A shorter and simpler version of the VLDB 2023 DBSP paper.
 
 * [DBSP: Automatic Incremental View Maintenance for Rich Query
-  Languages](/vldb23.pdf)
+  Languages](pathname:///vldb23.pdf)
   *Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, and Val
   Tannen*, Proceedings of the VLDB Endowment (VLDB), Vancouver,
   Canada, August, 2023, pages 1601-1614.
diff --git a/docs.feldera.com/docs/tutorials/basics/part2.md b/docs.feldera.com/docs/tutorials/basics/part2.md
index 6b6d2dce9f6..5000a37a87b 100644
--- a/docs.feldera.com/docs/tutorials/basics/part2.md
+++ b/docs.feldera.com/docs/tutorials/basics/part2.md
@@ -209,7 +209,7 @@ try!).
 This reflects the internal workings of Feldera: instead of reevaluating the
 query from scratch on every new input, it only updates affected outputs by
 propagating input changes through the query execution plan.  We refer to this as
-**incremental query evaluation**.  See our [paper](/vldb23.pdf) for a rigorous
+**incremental query evaluation**.  See our [paper](pathname:///vldb23.pdf) for a rigorous
 description of this technique.
 
 ## Takeaways