Record Zenodo DOI for the v0.15.0 software archive

CHANGELOG.md

@@ -409,8 +409,8 @@ latent operator contract are unchanged (`koopman=None` still selects
 
 - Factory defaults are unchanged vs 0.14.0 (`koopman=None` →
   `"pernode"`; `sparsity="dense"`; AMP off). `FORMAT_VERSION` stays 1.
-- The Zenodo DOI remains `10.5281/zenodo.21926723` until a new version
-  DOI is minted at the 0.15 tag.
+- Zenodo version DOI:
+  [10.5281/zenodo.22045904](https://doi.org/10.5281/zenodo.22045904).
 
 ## [0.14.0] - 2026-08-13
 

CITATION.cff

@@ -15,10 +15,10 @@ url: "https://koopmangraph.readthedocs.io/"
 license: Apache-2.0
 version: 0.15.0
 date-released: 2026-08-19
-doi: 10.5281/zenodo.21926723
+doi: 10.5281/zenodo.22045904
 identifiers:
   - type: doi
-    value: 10.5281/zenodo.21926723
+    value: 10.5281/zenodo.22045904
     description: "Archived software (version DOI)"
 keywords:
   - koopman-operator

README.md

@@ -9,7 +9,7 @@
 **Topology-aware Koopman autoencoders for forecasting and analyzing networked dynamics**
 
 [![Tests](https://github.com/tjkessler/KoopmanGraph/actions/workflows/ci.yml/badge.svg)](https://github.com/tjkessler/KoopmanGraph/actions/workflows/ci.yml)
-[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.21926723.svg)](https://doi.org/10.5281/zenodo.21926723)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.22045904.svg)](https://doi.org/10.5281/zenodo.22045904)
 [![PyPI version](https://img.shields.io/pypi/v/koopman-graph)](https://pypi.org/project/koopman-graph/)
 [![codecov](https://codecov.io/gh/tjkessler/KoopmanGraph/graph/badge.svg)](https://codecov.io/gh/tjkessler/KoopmanGraph)
 [![Documentation Status](https://readthedocs.org/projects/koopmangraph/badge/?version=latest)](https://koopmangraph.readthedocs.io/en/latest/?badge=latest)
@@ -180,7 +180,7 @@ If you use KoopmanGraph in research, please cite:
   title        = {KoopmanGraph: Topology-Aware Koopman Autoencoders for Networked Dynamics},
   year         = {2026},
   publisher    = {Zenodo},
-  doi          = {10.5281/zenodo.21926723},
+  doi          = {10.5281/zenodo.22045904},
   url          = {https://github.com/tjkessler/KoopmanGraph},
   version      = {0.15.0},
 }

paper.bib

@@ -211,8 +211,8 @@ @misc{koopmangraph2026
   title = {{KoopmanGraph}: Topology-Aware {Koopman} Autoencoders for Networked Dynamics},
   year = {2026},
   publisher = {Zenodo},
-  doi = {10.5281/zenodo.21926723},
-  url = {https://doi.org/10.5281/zenodo.21926723},
+  doi = {10.5281/zenodo.22045904},
+  url = {https://doi.org/10.5281/zenodo.22045904},
   version = {0.15.0}
 }
 

paper.md

@@ -55,9 +55,9 @@ Tutorials under `examples/` cover synthetic dynamics, IEEE 118-bus, METR-LA, and
 
 # Research impact statement
 
-`KoopmanGraph` is research software with no publications or downstream adoptions to cite at submission. Impact is shown through reproducible tutorials on synthetic, IEEE 118-bus, METR-LA, and epidemic graphs---per-horizon evaluation, topology-versus-vector baselines in the spirit of prior GNN-versus-Koopman power-grid studies [@Nandanoori2022], dynamic topology, spectral/stability analysis, and latent-space control---plus v0.5.0 tooling and notebooks for deep-ensemble / latent-Gaussian uncertainty, hierarchical multi-resolution forecasting, auxiliary-spectral continuous generators, and sparsity / worst-case reconstruction losses (with a GNN encoder zoo). Open artifacts include PyPI releases through v0.14.0, CI with coverage and notebook smoke tests, Sphinx docs, and a security policy.
+`KoopmanGraph` is research software with no publications or downstream adoptions to cite at submission. Impact is shown through reproducible tutorials on synthetic, IEEE 118-bus, METR-LA, and epidemic graphs---per-horizon evaluation, topology-versus-vector baselines in the spirit of prior GNN-versus-Koopman power-grid studies [@Nandanoori2022], dynamic topology, spectral/stability analysis, and latent-space control---plus v0.5.0 tooling and notebooks for deep-ensemble / latent-Gaussian uncertainty, hierarchical multi-resolution forecasting, auxiliary-spectral continuous generators, and sparsity / worst-case reconstruction losses (with a GNN encoder zoo). Open artifacts include PyPI releases through v0.15.0, CI with coverage and notebook smoke tests, Sphinx docs, and a security policy.
 
-The author uses the library to experiment with Koopman forecasting on networked systems and to lower the barrier for topology-aware Koopman models on standard PyG workflows. Zenodo archives are available through v0.14.0 (DOI: \url{https://doi.org/10.5281/zenodo.21926723}; earlier version DOIs are linked from that record).
+The author uses the library to experiment with Koopman forecasting on networked systems and to lower the barrier for topology-aware Koopman models on standard PyG workflows. Zenodo archives are available through v0.15.0 (DOI: \url{https://doi.org/10.5281/zenodo.22045904}; earlier version DOIs are linked from that record).
 
 # Conclusion
 

tests/package/test_docs.py

@@ -414,7 +414,7 @@ def test_release_metadata_versions_agree() -> None:
     assert "## [Unreleased]" in changelog
     assert f"## [{version}]" in changelog
     assert _cff_top_level_field(cff_text, "version") == version
-    assert _cff_top_level_field(cff_text, "doi") == "10.5281/zenodo.21926723"
+    assert _cff_top_level_field(cff_text, "doi") == "10.5281/zenodo.22045904"
     assert f"version      = {{{version}}}" in readme
     assert f"Version **{version}**" in index
     bib_version = _bib_field(_bib_entry(bib_text, _SOFTWARE_BIB_KEY), "version")