{"paper":{"title":"$\\texttt{BilbyFlow}$: user-friendly neural posterior estimation for gravitational-wave astronomy","arxiv_id":"2609.00766","primary_cat":"astro-ph.IM","submitted_at":"2026-09-01T05:54:41+00:00","version_compiled":"v1"},"notice":"Every quoted sentence is the authors' text from the arXiv listing abstract. Labels and probabilities are the outputs of classifier-1.13.0 on the question bank abstract-p1-20260923, exactly as returned. 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1.5 hours.","hedge":{"p":1.0,"label":"asserted"},"own_p":0.97,"main_claim_p":0.29,"quantitative":true,"quantitative_p":0.99,"role_probabilities":{"gap":0.0,"method":0.0,"result":1.0,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.0,"interpretation":0.0}},{"i":8,"p":0.53,"id":"s8","own":true,"role":"limitation","text":"For the other events, with importance-sampling efficiency $\\ll$1%, the run time can be as long as 35 hours.","hedge":{"p":0.73,"label":"asserted"},"own_p":0.94,"main_claim_p":0.06,"quantitative":true,"quantitative_p":0.98,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.47,"background":0.0,"limitation":0.53,"future_work":0.0,"contribution":0.0,"interpretation":0.0}},{"i":9,"p":0.99,"id":"s9","own":true,"role":"result","text":"We achieve a median importance-sampling efficiency of 7%, which is roughly comparable to the $\\texttt{DINGO}$ package.","hedge":{"p":1.0,"label":"asserted"},"own_p":0.95,"main_claim_p":0.18,"quantitative":true,"quantitative_p":0.99,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.99,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.0,"interpretation":0.01}},{"i":10,"p":1.0,"id":"s10","own":false,"role":"future_work","text":"We aim to significantly improve this efficiency with further development to make the runtime more reliably $O(\\text{min})$.","hedge":{"p":0.53,"label":"hedged_possibility"},"own_p":0.16,"main_claim_p":0.13,"quantitative":true,"quantitative_p":0.73,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.0,"background":0.0,"limitation":0.0,"future_work":1.0,"contribution":0.0,"interpretation":0.0}},{"i":11,"p":0.97,"id":"s11","own":true,"role":"contribution","text":"$\\texttt{BilbyFlow}$ is open source and $\\texttt{pip}$-installable.","hedge":{"p":1.0,"label":"asserted"},"own_p":0.68,"main_claim_p":0.04,"quantitative":false,"quantitative_p":0.03,"role_probabilities":{"gap":0.0,"method":0.02,"result":0.01,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.97,"interpretation":0.0}}]},"compiled":{"main_claim":{"p":0.75,"text":"For 29 events (76\\%), we obtained an importance-sampling efficiency $>$1%, allowing us to produce reliable posterior distributions within 3 min - 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