v0.3.0

Added

• External source input support for starting runs from prepared publication and reference Parquet files instead of an ADS search/export step.
• Repository utility scripts for preparing source input from Semantic Scholar and INSPIRE exports.

Changed

• The local_gpu preset is now the recommended Colab/GPU road: TranslateGemma for translation, Qwen3 embeddings, and Qwen3 topic labels.
• pipeline.ipynb is now a preset-driven Colab quickstart that loads local_gpu, sets only the example query/run context, and uses notebook-friendly output.
• The previous Gemma embedding/labeling notebook has moved to notebooks/pipeline_gemma_experiment.ipynb as a non-primary experiment.

Improved

• Local Transformers translation now batches TranslateGemma calls, retries smaller batches on memory pressure, and applies dynamic generation limits inside the configured maximum.
• Local model stages now share cleanup helpers so GPU memory is released between translation, embeddings, and topic labeling.
• Notebook runs now pre-load the local models through package paths and keep normal progress output cleaner.

Fixed

• Local topic labeling now uses chat-template based interaction for local chat models, avoiding instruction text leaking into BERTopic labels.
• Optional TorchCodec import failures are handled for the local Hugging Face stack used in Colab.
• Topic-map rendering now falls back cleanly when datamapplot cannot form cluster boundary polygons.
• The colorspacious SyntaxWarning emitted during topic-map setup is filtered at the runtime logging boundary.