diff --git a/AUTHORS b/AUTHORS
index 7217cd3c88a06d06902c034e5b918c12e3ff246f..594c40914a38bffd1801722a523d12c9bdb491f9 100644
--- a/AUTHORS
+++ b/AUTHORS
@@ -5,8 +5,8 @@ Authors of Kwant
 The principal developers of Kwant are
 
 * Christoph W. Groth (SPSMS-INAC-CEA Grenoble)
-* Michael Wimmer (Leiden University)
-* Anton R. Akhmerov (Harvard University, Leiden University)
+* Michael Wimmer (TU Delft)
+* Anton R. Akhmerov (TU Delft)
 * Xavier Waintal (SPSMS-INAC-CEA Grenoble)
 
 The authors can be reached at authors@kwant-project.org.
diff --git a/CITING b/CITING
index d8727eb25115f19cd3807fec14fd742a56eebc0e..22bcc553aaf95dcd04cb047c75cf6f0f6bf42c11 100644
--- a/CITING
+++ b/CITING
@@ -1,28 +1,38 @@
-==========================
-Suggested acknowledgements
-==========================
+============
+Citing Kwant
+============
 
 We provide Kwant as free software under a :doc:`BSD license <license>` as a
-service to the physics community.  If you have used Kwant for work that has lead
-to a scientific publication, please mention this explicitly in the text body.
-In addition, we ask you to cite the main paper that introduces Kwant:
+service to the physics community.  If you have used Kwant for work that has
+lead to a scientific publication, please mention the fact that you used it
+explicitly in the text body.  For example, you may add
 
-  The reference is provided at the `Kwant website
-  <http://kwant-project.org/paper>`_.
+  *the numerical calculations were performed using the Kwant code*
+
+to the description of your numerical calculations.  In addition, we ask you to
+cite the main paper that introduces Kwant:
+
+  C. W. Groth, M. Wimmer, A. R. Akhmerov, X. Waintal,
+  *Kwant: a software package for quantum transport*,
+  `New J. Phys. 16, 063065 (2014)
+  <http://iopscience.iop.org/1367-2630/16/6/063065/article>`_.
+
+
+Other references we ask you to consider
+---------------------------------------
 
 If you have profited from the quantum transport functionality of Kwant, please
 also cite the upcoming paper that describes the relevant algorithms. The
-reference will be added to this document later, and will also be available at
-`<http://kwant-project.org/citing>`_.
+reference will also be added here once it is available.
 
 Kwant owes much of its current performance to the use of the `MUMPS
 <http://graal.ens-lyon.fr/MUMPS/>`_ library for solving systems of sparse linear
 equations.  If you have done high-performance calculations, we suggest citing
 
   P. R. Amestoy, I. S. Duff, J. S. Koster, J. Y. L’Excellent, SIAM. J. Matrix
-  Anal. & Appl. **23** (1), 15 (2001).
+  Anal. & Appl. 23 (1), 15 (2001).
 
 Finally, if you use the routine for generation of circular ensembles of random
 matrices, please cite
 
-  \F. Mezzadri, Notices Am. Math. Soc. **54**, 592 (2007).
+  \F. Mezzadri, Notices Am. Math. Soc. 54, 592 (2007).
diff --git a/doc/source/pre/whatsnew/1.0.rst b/doc/source/pre/whatsnew/1.0.rst
index 7bbcb32ded1b990728682db17ff88e0ffa8c0535..ed775f1e5ead756c16f6b4907cfc89861d84eeb6 100644
--- a/doc/source/pre/whatsnew/1.0.rst
+++ b/doc/source/pre/whatsnew/1.0.rst
@@ -1,8 +1,11 @@
 What's new in Kwant 1.0
 =======================
 
-This article explains the user-visible changes in Kwant 1.0, released on 9
-September 2013.
+This article explains the new features in Kwant 1.0 compared to Kwant 0.2.
+Kwant 1.0 was released on 9 September 2013.  Please consult the project's
+version control system for the `full list of changes leading to Kwant 1.0.1
+<http://git.kwant-project.org/kwant/log/?h=v1.0.1>`_, the most recent 1.0
+series bugfix release.
 
 
 Lattice and shape improvements
diff --git a/kwant/linalg/mumps.py b/kwant/linalg/mumps.py
index f6fa3844c1396627b35dcf15154b8741763f3a1c..a30f38b05ce7aa4a5e22863921840ee41cfcb15b 100644
--- a/kwant/linalg/mumps.py
+++ b/kwant/linalg/mumps.py
@@ -156,7 +156,7 @@ class MUMPSContext(object):
     Solving a small system of equations.
 
     >>> import scipy.sparse as sp
-    >>> sp.coo_matrix([[1.,0],[0,2.]])
+    >>> a = sp.coo_matrix([[1.,0],[0,2.]], dtype=complex)
     >>> ctx = kwant.linalg.mumps.MUMPSContext()
     >>> ctx.factor(a)
     >>> ctx.solve([1., 1.])
diff --git a/kwant/plotter.py b/kwant/plotter.py
index e53cf0681d46eac97da9d1c7b84aa626f4665b88..87c534526a6886abeeb353557b06b9dbd733044a 100644
--- a/kwant/plotter.py
+++ b/kwant/plotter.py
@@ -1029,7 +1029,7 @@ def plot(sys, num_lead_cells=2, unit='nn',
         Linewidth of the lead symbols.
     lead_hop_lw : number or `None`
         Linewidth of the lead hoppings.
-    cmap : `matplotlib` color map or a tuple of two color maps or `None`
+    cmap : `matplotlib` color map or a sequence of two color maps or `None`
         The color map used for sites and optionally hoppings.
     pos_transform : function or `None`
         Transformation to be applied to the site position.
@@ -1257,11 +1257,12 @@ def plot(sys, num_lead_cells=2, unit='nn',
         lead_hop_lw = (hop_lw if not isarray(hop_lw)
                        else defaults['hop_lw'][dim])
 
-    if isinstance(cmap, tuple):
-        hop_cmap = cmap[1]
-        cmap = cmap[0]
-    else:
-        hop_cmap = None
+    hop_cmap = None
+    if not isinstance(cmap, basestring):
+        try:
+            cmap, hop_cmap = cmap
+        except TypeError:
+            pass
 
     # make a new figure unless axes specified
     if not ax:
diff --git a/kwant/solvers/common.py b/kwant/solvers/common.py
index f25fbe3486b7517b6ba91eff1cdb8cb4964a7cc0..c1ddc9c079699a7686710acbb6e2bd6ed0eaf59a 100644
--- a/kwant/solvers/common.py
+++ b/kwant/solvers/common.py
@@ -468,7 +468,7 @@ class SparseSolver(object):
                                       "is not implemented yet.")
 
         for lead in sys.leads:
-            if not hasattr(lead, 'modes'):
+            if not hasattr(lead, 'modes') and hasattr(lead, 'selfenergy'):
                 # TODO: fix this
                 raise NotImplementedError("ldos for leads with only "
                                           "self-energy is not implemented yet.")
diff --git a/kwant/solvers/tests/_test_sparse.py b/kwant/solvers/tests/_test_sparse.py
index e3d2e1e2a7a6038d907210c5b61c0e84cd8f66ae..737c720d58122792a5edd6808151d7d764b25981 100644
--- a/kwant/solvers/tests/_test_sparse.py
+++ b/kwant/solvers/tests/_test_sparse.py
@@ -356,7 +356,7 @@ def test_selfenergy_reflection(greens_function, smatrix):
     fsys = system.finalized()
     for sys in (fsys.precalculate(what='selfenergy'),
                 fsys.precalculate(what='all')):
-        sol = greens_function(fsys, 0, (), [0], [0])
+        sol = greens_function(sys, 0, (), [0], [0])
         assert_almost_equal(sol.transmission(0,0), t.transmission(0,0))
     assert_raises(ValueError, greens_function, fsys.precalculate(what='modes'),
                   0, (), [0], [0])
diff --git a/kwant/system.py b/kwant/system.py
index caa254029e98ac34e224f0c457b5c3cee11d97ad..3c98295cdc0826dc834f66ff09ac4596066fd318 100644
--- a/kwant/system.py
+++ b/kwant/system.py
@@ -73,7 +73,7 @@ class FiniteSystem(System):
     For lead ``n``, the method leads[n].selfenergy must return a square matrix
     whose size is ``sum(len(self.hamiltonian(site, site)) for site in
     self.lead_interfaces[n])``. The output of ``leads[n].modes`` has to be a
-    tuple of `~kwant.physics.PropatatingModes, ~kwant.physics.StabilizedModes`.
+    tuple of `~kwant.physics.PropagatingModes, ~kwant.physics.StabilizedModes`.
 
     Often, the elements of `leads` will be instances of `InfiniteSystem`.  If
     this is the case for lead ``n``, the sites ``lead_interfaces[n]`` match