diff --git a/MANIFEST.in b/MANIFEST.in
index e0e32117b..213a3a44a 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,6 +1,5 @@
-include README.rst
-include LICENSE.txt
-include NOTICE.txt
+include README.md
+include LICENSE
 
 include moabb/datasets/summary_*.csv
 
diff --git a/docs/prepare_paper_results_tables.py b/docs/prepare_paper_results_tables.py
index bec52442d..35b3418c5 100644
--- a/docs/prepare_paper_results_tables.py
+++ b/docs/prepare_paper_results_tables.py
@@ -34,8 +34,8 @@
     "EEGTCNet": "Keras_EEGITNet.yml",
     "FilterBank+SVM": "FBCSP.py",
     "FgMDM": "FgMDM.yml",
-    "LogVariance+LDA": "LogVar_grid.yml",
-    "LogVariance+SVM": "LogVar_grid.yml#L7",
+    "LogVariance+LDA": "LogVar.yml",
+    "LogVariance+SVM": "LogVar_grid.yml",
     "MDM": "MDM.yml",
     "ShallowConvNet": "Keras_ShallowConvNet.yml",
     "TRCSP+LDA": "WTRCSP.py",
diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst
index 8c3560fd7..724db02fa 100644
--- a/docs/source/whats_new.rst
+++ b/docs/source/whats_new.rst
@@ -61,6 +61,7 @@ Requirements
 
 Bugs
 ~~~~
+- Fix the ``LogVariance+LDA`` row of the benchmark results page (:doc:`paper_results`) linking to ``pipelines/LogVar_grid.yml``, which is the ``Log Variance SVM grid`` pipeline and classifies with ``SVC``. It now links to ``pipelines/LogVar.yml``, the ``Log Variance LDA`` pipeline the row reports. The ``LogVariance+SVM`` row keeps ``LogVar_grid.yml`` and loses its ``#L7`` fragment, which highlighted the shared ``LogVariance`` step rather than the ``SVC`` one (by `Bhargav Kowshik`_).
 - Fix :class:`moabb.datasets.BNCI2022_001` epoching its instantaneous waypoint markers as 90-second trials: only ``trajectory_start`` is a trial event now (32 bounded, non-overlapping 90 s epochs per subject), and the loader annotates each trigger pulse once (rising edge) instead of once per held sample, which had inflated subject 1 to 33,114 annotations and a 364 GiB allocation. Waypoint and trajectory-end markers stay available as annotations on the loaded raws (:gh:`1143` by `Bruno Aristimunha`_)
 - Retag :class:`moabb.datasets.Kaneshiro2015` from ``p300`` to ``imagery`` so its declared default paradigm accepts it: its six visual object categories carry no Target/NonTarget pair, so the P300 paradigm rejected every subject. The catalog row and documentation grouping move with it (:gh:`1143` by `Bruno Aristimunha`_)
 - Allow :class:`moabb.paradigms.RestingStateToP300Adapter` to be constructed with defaults: ``events=None`` now means all of the dataset's events, matching how every in-repo usage builds it (:gh:`1143` by `Bruno Aristimunha`_)
@@ -104,6 +105,7 @@ Bugs
 
 Code health
 ~~~~~~~~~~~
+- Point ``MANIFEST.in`` at the files the repository actually ships. Three of its six directives named ``README.rst``, ``LICENSE.txt`` and ``NOTICE.txt``; the repository has ``README.md`` and ``LICENSE``, and no notice file at all, so every ``python -m build --sdist`` printed three ``warning: no files found matching ...`` lines. The sdist contents are unchanged -- setuptools already picked up the readme and the license through ``project.readme`` and its default ``license-files`` -- only the warnings go away (by `Bhargav Kowshik`_).
 - Bump the ``ruff-pre-commit`` hook from ``v0.15.9`` to ``v0.15.20`` (quarterly ``pre-commit.ci`` autoupdate). The bump is lint-neutral on the current tree: ``ruff check`` and ``ruff format --check`` return identical results at both pins across all 229 tracked ``*.py`` / ``*.pyi`` files, and ``pre-commit run --all-files`` rewrites no file (:gh:`1119` by `pre-commit-ci`_).
 - Fix deprecated ``pyriemann.utils.{mean,covariance,base}`` import paths: bump the minimum ``pyriemann`` to ``0.12`` and update all import sites in ``moabb/pipelines/csp.py``, ``moabb/pipelines/classification.py``, ``moabb/datasets/preprocessing.py``, and the Riemannian artifact rejection example to use ``pyriemann.geometry.*`` (introduced in pyriemann 0.12, removal of the old paths scheduled for 0.14), and import ``Potato``/``PotatoField`` from ``pyriemann.artifact_detection`` (moved from ``pyriemann.clustering`` in 0.12) (by `copilot-swe-agent`_).
 - Install CPU-only PyTorch wheels in CI by setting ``UV_TORCH_BACKEND=cpu`` in the test, braindecode, and docs workflows, so runners no longer download multi-GB CUDA builds of ``torch`` (pulled transitively via the ``deeplearning`` extra / braindecode) (:gh:`1083` by `Bhargav Kowshik`_).