BDPD: an opinionated annotated bibliography

An opinionated annotated bibliography for the BDPD project. Each entry contains a full citation, the original abstract (where available, reproduced as academic fair use), and an AI Note — a single-paragraph annotation structured around three frames: what the work argues and with what method; why it is relevant to BDPD (referencing specific BDPD papers, lessons, or empirical findings); and one caveat or scope limit worth keeping in mind. The AI Note annotations are generated by a large language model from the original text of each work; entries cited in the project's published deliverables received a per-citation cross-check audit, with stretched uses flagged and corrected in the corresponding paper text. The bibliography is generated dynamically from the project's master BibTeX file and reflects the state of the BDPD literature at the time of publication.