# Dated sources Research and access date: **2026-07-23**. Only official project, package-index, repository, publisher, and provider sources were used for behavioral claims. Parallel web search/extract identified the canonical pages; GitHub and PyPI APIs were used to verify exact refs, metadata, file hashes, and source files. ## Package and source 1. [PyPI: hypogenic](https://pypi.org/project/hypogenic/) — latest stable `0.3.5`, released 2025-07-16; Python requirement, beta classifier, dependencies, files, SHA-256 values, project links, trusted-publisher provenance, source tag/commit. Accessed 2026-07-23. 2. [ChicagoHAI/hypothesis-generation](https://github.com/ChicagoHAI/hypothesis-generation) — official repository, README, license, default branch, package layout, examples, task-config instructions, and current project links. Repository default commit checked 2026-07-23. 3. [Release v0.3.5 source tree](https://github.com/ChicagoHAI/hypothesis-generation/tree/8c3800ccae155e333fac5b530afa8abdaac38300) — immutable source used for API/CLI review. Commit dated 2025-07-16; accessed 2026-07-23. 4. [GitHub releases](https://github.com/ChicagoHAI/hypothesis-generation/releases) — release/tag history through `v0.3.5`. Accessed 2026-07-23. 5. [Master commit history](https://github.com/ChicagoHAI/hypothesis-generation/commits/master) — four post-tag logging/debug commits ending at `bd37a3129a2f98ee586f545a57b10b59496eedad` on 2025-07-17. Accessed 2026-07-23. 6. [Pinned pyproject.toml](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/pyproject.toml) — version, Python requirement, dependencies, optional `dev` dependencies, console entry points, license, and project URLs. Accessed 2026-07-23. 7. [Pinned generation CLI](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic_cmd/generation.py) and [inference CLI](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic_cmd/inference.py) — exact parser flags, defaults, execution flow, logging, output, and metric behavior. Accessed 2026-07-23. 8. [Pinned task loader](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/tasks.py) and [prompt implementation](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/prompt.py) — YAML fields, split-path resolution, sampling, and prompt-template access. Accessed 2026-07-23. 9. [Pinned model wrappers](https://github.com/ChicagoHAI/hypothesis-generation/tree/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/LLM_wrapper) — OpenAI, Anthropic, Transformers, vLLM, local registration, cost table, and model-loading behavior. Accessed 2026-07-23. 10. [Pinned output serializer](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/algorithm/update/base.py) and [SummaryInformation](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/algorithm/summary_information.py) — hypothesis-bank JSON shape and stored statistics. Accessed 2026-07-23. 11. [Pinned Redis cache](https://github.com/ChicagoHAI/hypothesis-generation/blob/8c3800ccae155e333fac5b530afa8abdaac38300/hypogenic/LLM_cache.py) — local Redis prompt/response caching and pickle serialization. Accessed 2026-07-23. ## Datasets 12. [ChicagoHAI/HypoBench-datasets](https://github.com/ChicagoHAI/HypoBench-datasets) — current official GitHub data/config repository; no releases. Default revision `7e4bbc341ee90b7efaa607f67a81543cd68cdf2e`, dated 2025-07-09; accessed 2026-07-23. 13. [Pinned HypoBench dataset tree](https://github.com/ChicagoHAI/HypoBench-datasets/tree/7e4bbc341ee90b7efaa607f67a81543cd68cdf2e) — task families, configs, and split files used for the manifest example. Accessed 2026-07-23. 14. [ChicagoHAI/HypoGeniC-datasets on Hugging Face](https://huggingface.co/datasets/ChicagoHAI/HypoGeniC-datasets) — official alternate dataset publication. Observed revision `613860dcbcda9e522a6163ee9edf78c261ebe4bb`, last modified 2025-04-23; accessed 2026-07-23. ## Papers and evaluation scope 15. [Hypothesis Generation with Large Language Models](https://aclanthology.org/2024.nlp4science-1.10/) — Zhou et al., Proceedings of the 1st Workshop on NLP for Science, November 2024, DOI `10.18653/v1/2024.nlp4science-1.10`. Data-driven HypoGeniC algorithm, classification evaluations, and paper claims. Accessed 2026-07-23. 16. [Literature Meets Data: A Synergistic Approach to Hypothesis Generation](https://arxiv.org/abs/2410.17309) — Liu et al.; submitted 2024-10-22, version 3 dated 2025-01-08. HypoRefine, literature/data integration, union methods, five-dataset evaluation, and human decision-support study. Accessed 2026-07-23. 17. [HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation](https://arxiv.org/abs/2504.11524) — Liu et al.; submitted 2025-04-15, version 2 dated 2026-02-10. Seven real-world tasks, five synthetic task families, 194 datasets, evaluation dimensions, and documented remaining limitations. Accessed 2026-07-23. 18. [HypoBench OpenReview record](https://openreview.net/forum?id=cizEoSePyT) — TMLR submission metadata and revisions; submitted 2025-08-31, modified 2026-02-25, recorded as rejected. Used only to distinguish publication status from the arXiv version. Accessed 2026-07-23. ## Provider authentication and privacy 19. [OpenAI developer quickstart](https://developers.openai.com/api/docs/quickstart) — `OPENAI_API_KEY` and automatic SDK environment lookup. Accessed 2026-07-23. 20. [OpenAI enterprise privacy](https://openai.com/enterprise-privacy/) — business/API training defaults, up-to-30-day API retention, exceptions, and eligible ZDR requests. Page search result dated 2026-01-08; accessed 2026-07-23. 21. [Anthropic get started](https://docs.anthropic.com/en/docs/get-started) — `ANTHROPIC_API_KEY` and automatic SDK environment lookup. Accessed 2026-07-23. 22. [Anthropic API and data retention](https://docs.anthropic.com/en/docs/build-with-claude/zero-data-retention) — standard policy links, eligible ZDR, feature exclusions, legal/misuse exceptions, HIPAA readiness, and model-specific retention. Accessed 2026-07-23. 23. [Anthropic commercial data retention](https://privacy.anthropic.com/en/articles/7996866-how-long-do-you-store-personal-data) — automatic API input/output deletion within 30 days. Updated 2026-07-01; accessed 2026-07-23. 24. [Anthropic covered-model retention](https://support.claude.com/en/articles/15425996-data-retention-practices-for-covered-models) — 30-day retention requirement for designated covered models, including effects on ZDR arrangements. Updated 2026-07-09; accessed 2026-07-23. ## Local model behavior 25. [Transformers installation and offline mode](https://huggingface.co/docs/transformers/installation) — Hub downloads, caches, pre-download workflows, and local reload. Accessed 2026-07-23. 26. [Transformers pipelines](https://huggingface.co/docs/transformers/en/main_classes/pipelines) — model/path loading and `trust_remote_code` warning. Accessed 2026-07-23.