Science reported on the tension surrounding the publication of AlphaFold3. Google DeepMind and Nature have come under fire for offering only restricted access to the program and failing to release the computational code underlying it. In November of the same year, Google DeepMind released an accessible version of AlphaFold3, which mitigated this tension.

Building on the supplementary principles articulated in the mini-review, a new research software initiative began to take shape. In the following months, a growing number of stakeholders expressed interest in engaging in dialogue.

The objectives of the first coordinated discussion were achieved. Subsequent discussions on Evidence Chain Formalization focused on its applicability across different academic fields, and how it may help mitigate trust gaps when external disclosure barriers arise.

In addressing education and evaluation supports, as well as potential increasing computational and storage demands, implementation partners were engaged, including NVIDIA and Digital Science.