diff --git a/docs/src/guide/derivative.md b/docs/src/guide/derivative.md
index 8e6a342d4..0e7368bdb 100644
--- a/docs/src/guide/derivative.md
+++ b/docs/src/guide/derivative.md
@@ -1,6 +1,6 @@
 ```@meta
 DocTestFilters = [r"≥|>=", r" == | = ", r" ∈ | in ", r" for all | ∀ ", r"d|∂", 
-                  r"integral|∫", r".*scalar_parameters.jl:807"]
+                  r"integral|∫", r".*scalar_parameters\.jl:\d+"]
 ```
 
 # [Derivative Operators](@id deriv_docs)
diff --git a/docs/src/tutorials/resolves.md b/docs/src/tutorials/resolves.md
index a5ba35245..ef89c8e21 100644
--- a/docs/src/tutorials/resolves.md
+++ b/docs/src/tutorials/resolves.md
@@ -232,7 +232,7 @@ julia> set_parameter_value(Tsp, Tsp_new);
     The new function must have the same infinite parameter format as the original parameter function.
 
 Now we can call `optimize!` again to solve our updated model! 
-```jldoctest quick
+```jldoctest quick; filter = r"\d+"
 julia> optimize!(model)
 
 julia> barrier_iterations(model)
@@ -252,7 +252,7 @@ julia> set_optimizer_attribute(model, "bound_frac", 1e-8); # Desired minimum rel
 julia> set_optimizer_attribute(model, "mu_init", 1e-11); # Initial barrier parameter value
 ```
 Note that the chosen values here are not always good, as optimal values are problem dependent. Moving on, solving with these new solver options reduces the number of iterations:
-```jldoctest quick
+```jldoctest quick; filter = r"\d+"
 julia> optimize!(model)
 
 julia> barrier_iterations(model)