GREP · Software mentions — f14 (CPU)

Reads scientific PDFs and pulls out every software name, tool and library the authors used, with its location in the text, a type and a purpose. This leaf runs f14, the strongest of the three models on its own. GREP runs three independently trained models over the same papers; a mention enters the final record only when at least two of the three find the same span. A work unit is about ten papers, roughly 5 MB in and one small JSON out. Every unit goes to three different volunteers and the head accepts it once two produce matching output. Runs on any machine with 6 GB of free memory and 15 GB of free disk; a single core is enough, though more cores finish a unit faster. The model ships inside a one-time 5.6 GB image download, after which the work runs entirely offline.

Measured accuracy (character-level F1; higher is better):

Model dev test Softcite SoFAIR clean

f14 0.823 0.819 0.8653 0.8909 <- this leaf f13 0.814 0.807 0.8637 0.8854 V1 0.800 0.781 0.8096 0.7950 crowd (2-of-3) 0.833 0.828 0.8648 0.8940