diff --git a/src/sdr/_detection/_approximation.py b/src/sdr/_detection/_approximation.py
index c74580ed5..c2fcb58b9 100644
--- a/src/sdr/_detection/_approximation.py
+++ b/src/sdr/_detection/_approximation.py
@@ -49,8 +49,10 @@ def albersheim(p_d: npt.ArrayLike, p_fa: npt.ArrayLike, n_nc: npt.ArrayLike = 1)
         detectors in minimal, so Albersheim's equation finds wide use.
 
     References:
-        - https://radarsp.weebly.com/uploads/2/1/4/7/21471216/albersheim_alternative_forms.pdf
-        - https://bpb-us-w2.wpmucdn.com/sites.gatech.edu/dist/5/462/files/2016/12/Noncoherent-Integration-Gain-Approximations.pdf
+        - `Mark Richards, Alternative Forms of Albersheim's Equation.
+          <https://radarsp.weebly.com/uploads/2/1/4/7/21471216/albersheim_alternative_forms.pdf>`_
+        - `Mark Richards, Non-Coherent Gain and its Approximations.
+          <https://bpb-us-w2.wpmucdn.com/sites.gatech.edu/dist/5/462/files/2016/12/Noncoherent-Integration-Gain-Approximations.pdf>`_
         - https://www.mathworks.com/help/phased/ref/albersheim.html
 
     Examples:
@@ -157,6 +159,10 @@ def peebles(p_d: npt.ArrayLike, p_fa: npt.ArrayLike, n_nc: npt.ArrayLike) -> npt
 
         Peebles' equation approximates the non-coherent integration gain using a square-law detector.
 
+    References:
+        - `Mark Richards, Non-Coherent Gain and its Approximations.
+          <https://bpb-us-w2.wpmucdn.com/sites.gatech.edu/dist/5/462/files/2016/12/Noncoherent-Integration-Gain-Approximations.pdf>`_
+
     Examples:
         Compare the theoretical non-coherent gain for a square-law detector against the approximation from Peebles's
         equation. This comparison plots curves for various post-integration probabilities of detection.
diff --git a/src/sdr/_farrow.py b/src/sdr/_farrow.py
index c5e32fd28..a428e0a79 100644
--- a/src/sdr/_farrow.py
+++ b/src/sdr/_farrow.py
@@ -18,7 +18,8 @@ class FarrowResampler:
 
     References:
         - Michael Rice, *Digital Communications: A Discrete Time Approach*, Section 8.4.2.
-        - https://wirelesspi.com/fractional-delay-filters-using-the-farrow-structure/
+        - `Qasim Chaudhari, Fractional Delay Filters Using the Farrow Structure.
+          <https://wirelesspi.com/fractional-delay-filters-using-the-farrow-structure/>`_
 
     Examples:
         Create a sine wave with angular frequency $\omega = 2 \pi / 5.179$. Interpolate the signal by
diff --git a/src/sdr/_modulation/_pulse_shapes.py b/src/sdr/_modulation/_pulse_shapes.py
index baac66533..f6bbd4ebd 100644
--- a/src/sdr/_modulation/_pulse_shapes.py
+++ b/src/sdr/_modulation/_pulse_shapes.py
@@ -175,7 +175,8 @@ def gaussian(
 
     References:
         - https://www.mathworks.com/help/signal/ref/gaussdesign.html
-        - https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470041956.app2
+        - `Appendix B: Gaussian Pulse-Shaping Filter.
+          <https://onlinelibrary.wiley.com/doi/pdf/10.1002/9780470041956.app2>`_
 
     Examples:
         .. ipython:: python
diff --git a/src/sdr/_sequence/_lfsr.py b/src/sdr/_sequence/_lfsr.py
index 0a83e9508..ceb65e4f6 100644
--- a/src/sdr/_sequence/_lfsr.py
+++ b/src/sdr/_sequence/_lfsr.py
@@ -76,8 +76,8 @@ class FLFSR:
         $S = [y_{t+n-1}, y_{t+n-2}, \dots, y_{t+2}, y_{t+1}]$.
 
     References:
-        - Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”.
-          https://hdl.handle.net/2134/21932.
+        - `Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”.
+          <https://hdl.handle.net/2134/21932>`_
 
     See Also:
         berlekamp_massey
@@ -812,8 +812,8 @@ class GLFSR:
         In the Galois configuration, the shift register taps are $T = [c_0, c_1, \dots, c_{n-2}, c_{n-1}]$.
 
     References:
-        - Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”.
-          https://hdl.handle.net/2134/21932.
+        - `Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”.
+          <https://hdl.handle.net/2134/21932>`_
 
     See Also:
         berlekamp_massey
@@ -1493,10 +1493,12 @@ def berlekamp_massey(sequence, output="minimal"):
         minimal polynomial.
 
     References:
-        - Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”. https://hdl.handle.net/2134/21932.
-        - Sachs, J. Linear Feedback Shift Registers for the Uninitiated, Part VI: Sing Along with the
-          Berlekamp-Massey Algorithm. https://www.embeddedrelated.com/showarticle/1099.php
-        - https://crypto.stanford.edu/~mironov/cs359/massey.pdf
+        - `Gardner, D. 2019. “Applications of the Galois Model LFSR in Cryptography”.
+          <https://hdl.handle.net/2134/21932>`_
+        - `Jason Sachs, Linear Feedback Shift Registers for the Uninitiated, Part VI: Sing Along with the
+          Berlekamp-Massey Algorithm. <https://www.embeddedrelated.com/showarticle/1099.php>`_
+        - `James Massey, Shift-Register Synthesis and BCH Decoding.
+          <https://crypto.stanford.edu/~mironov/cs359/massey.pdf>`_
 
     Examples:
         The sequence below is a degree-4 linear recurrent sequence over $\mathrm{GF}(7)$.
diff --git a/src/sdr/_synchronization/_agc.py b/src/sdr/_synchronization/_agc.py
index 607cee801..c17add949 100644
--- a/src/sdr/_synchronization/_agc.py
+++ b/src/sdr/_synchronization/_agc.py
@@ -39,7 +39,8 @@ class AGC:
 
     References:
         - Michael Rice, *Digital Communications: A Discrete-Time Approach*, Section 9.5.
-        - https://wirelesspi.com/how-automatic-gain-control-agc-works/
+        - `Qasim Chaudhari, How Automatic Gain Control (AGC) Works.
+          <https://wirelesspi.com/how-automatic-gain-control-agc-works/>`_
 
     Examples:
         Create an example received signal with two bursty signals surrounded by noise.