igerber · igerber · Sep 8, 2026 · Sep 8, 2026
diff --git a/CHANGELOG.md b/CHANGELOG.md
diff --git a/CITATION.cff b/CITATION.cff
@@ -7,8 +7,8 @@ authors:
     family-names: Gerber
     orcid: "https://orcid.org/0009-0009-3275-5591"
 license: MIT
-version: "3.11.1"
-date-released: "2026-08-30"
+version: "3.12.0"
+date-released: "2026-09-08"
 doi: "10.5281/zenodo.19646175"
 url: "https://github.com/igerber/diff-diff"
 repository-code: "https://github.com/igerber/diff-diff"

diff --git a/changelog.d/20260830-alpha-mislabel-guard.md b/changelog.d/20260830-alpha-mislabel-guard.md
diff --git a/changelog.d/20260903-fractional-confidence-label.md b/changelog.d/20260903-fractional-confidence-label.md
diff --git a/changelog.d/20260904-sdid-shape-only-fit-rmse.md b/changelog.d/20260904-sdid-shape-only-fit-rmse.md
diff --git a/changelog.d/20260905-bad-controls-dml.md b/changelog.d/20260905-bad-controls-dml.md
diff --git a/changelog.d/20260905-bad-controls-paper-review.md b/changelog.d/20260905-bad-controls-paper-review.md
diff --git a/changelog.d/20260905-deaner-ku-paper-review.md b/changelog.d/20260905-deaner-ku-paper-review.md
diff --git a/changelog.d/20260905-hc2-leverage-one.md b/changelog.d/20260905-hc2-leverage-one.md
diff --git a/changelog.d/20260905-wooldridge-unsupported-period-action.md b/changelog.d/20260905-wooldridge-unsupported-period-action.md
diff --git a/changelog.d/20260906-duration-did.md b/changelog.d/20260906-duration-did.md
diff --git a/changelog.d/20260907-bad-controls-tutorial.md b/changelog.d/20260907-bad-controls-tutorial.md
diff --git a/diff_diff/__init__.py b/diff_diff/__init__.py
@@ -373,7 +373,7 @@ def __getattr__(name: str) -> _Any:
     raise AttributeError(f"module 'diff_diff' has no attribute {name!r}")
 
 
-__version__ = "3.11.1"
+__version__ = "3.12.0"
 __all__ = [
     # Estimators
     "DifferenceInDifferences",

diff --git a/diff_diff/guides/llms-full.txt b/diff_diff/guides/llms-full.txt
@@ -2,7 +2,7 @@
 
 > A Python library for Difference-in-Differences causal inference analysis. Provides sklearn-like estimators with statsmodels-style output for econometric analysis.
 
-- Version: 3.11.1
+- Version: 3.12.0
 - Repository: https://github.com/igerber/diff-diff
 - License: MIT
 - Dependencies: numpy, pandas, scipy (no statsmodels dependency)

diff --git a/diff_diff/results.py b/diff_diff/results.py
@@ -1284,7 +1284,7 @@ def __setstate__(self, state: Dict[str, Any]) -> None:
         if "placebo_effects" in state and "variance_effects" not in state:
             state = dict(state)
             state["variance_effects"] = state.pop("placebo_effects")
-        # Pre-v3.11.2 pickles: ``pre_treatment_fit`` was the LEVEL-inclusive
+        # Pre-v3.12.0 pickles: ``pre_treatment_fit`` was the LEVEL-inclusive
         # RMSE and the shape-only / placebo-reference fields did not exist.
         # Never relabel the stale value as shape-only: recompute both
         # statistics from the stored trajectories when they are present