{"paper":{"title":"The Hydrostatic Mass Bias and the $\\sigma_8$ Tension: A Multi-Probe Forecast for Stage-IV/V Surveys","arxiv_id":"2602.19478","primary_cat":"astro-ph.CO","submitted_at":"2026-02-23T03:41:14+00:00","version_compiled":"v2"},"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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6 lens and 5 source bins for CSST), we forecast marginalized constraints of $0.98\\%$ for SO+LSST, $1.60\\%$ for CMB-S4+LSST, and $2.40\\%$ for CMB-S4+CSST.","hedge":{"p":0.93,"label":"asserted"},"own_p":0.92,"main_claim_p":0.19,"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":4,"p":0.57,"id":"s4","own":true,"role":"interpretation","text":"Tomography improves $b_{\\mathrm{HSE}}$ precision by factors of approximately three relative to non-tomographic analyses, reflecting the role of redshift information in breaking the $b_{\\mathrm{HSE}}$--$\\sigma_8$ degeneracy.","hedge":{"p":0.98,"label":"asserted"},"own_p":0.88,"main_claim_p":0.18,"quantitative":true,"quantitative_p":0.99,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.43,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.0,"interpretation":0.57}},{"i":5,"p":0.91,"id":"s5","own":true,"role":"result","text":"Optical-only probes provide no direct constraint on $b_{\\mathrm{HSE}}$, whereas inclusion of tSZ-containing spectra enables percent-level calibration under realistic systematic assumptions.","hedge":{"p":1.0,"label":"asserted"},"own_p":0.8,"main_claim_p":0.16,"quantitative":true,"quantitative_p":0.76,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.91,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.0,"interpretation":0.09}},{"i":6,"p":0.99,"id":"s6","own":true,"role":"interpretation","text":"The results demonstrate that multi-probe tomographic analyses with Stage-IV surveys can achieve robust control of hydrostatic mass bias, strengthening cluster-based constraints on structure growth.","hedge":{"p":1.0,"label":"asserted"},"own_p":0.86,"main_claim_p":0.89,"quantitative":false,"quantitative_p":0.06,"role_probabilities":{"gap":0.0,"method":0.0,"result":0.01,"background":0.0,"limitation":0.0,"future_work":0.0,"contribution":0.0,"interpretation":0.99}}]},"compiled":{"main_claim":{"p":1.0,"text":"The results demonstrate that multi-probe tomographic analyses with Stage-IV surveys can achieve robust control of hydrostatic mass bias, strengthening cluster-based constraints on structure growth.","location":"abstract s6","hedge_strength":{"p":1.0,"label":"asserted"}},"provenance":{"route":{"via":"TypeSafe API","model":"classifier-1.13.0","endpoint":"https://api.typesafe.ai/v1/systemone","provider":"TypeSafe"},"packing":"one request per paper","requests":1,"input_tokens":6113,"cost_usd_reported":0.0},"compiled_at":"2026-09-23","bank_version":"abstract-p1-20260923","model_version":"classifier-1.13.0","abstract_states":{"claims_first":0.03,"states_limitation":0.52,"human_participants":0.01,"controlled_comparison":0.53,"randomized_assignment":0.01,"states_quantitative_result":0.99,"compares_with_prior_results":0.86,"mentions_code_or_data_availability":0.02},"evidential_basis":{"p":1.0,"value":"simulation or computation","probabilities":{"argument":0.0,"literature":0.0,"proof_or_derivation":0.0,"analysis_of_existing_data":0.0,"observation_or_experiment":0.0,"simulation_or_computation":1.0}},"contribution_type":{"p":0.79,"value":"simulation study","probabilities":{"review":0.0,"method_or_tool":0.1,"empirical_study":0.0,"simulation_study":0.79,"theoretical_result":0.11,"dataset_or_benchmark":0.0,"position_or_commentary":0.0}},"contribution_statement":{"p":0.82,"text":"We investigate the capability of Stage-IV CMB and optical surveys to calibrate $b_{\\mathrm{HSE}}$ using tomographic cross-correlations between the thermal Sunyaev--Zel'dovich (tSZ) effect, galaxy clustering, and weak lensing.","location":"abstract s1"}},"coverage":{"tier":"abstract","levels_run":["P abstract"],"not_examined":["full text","figures and tables","references and citing sentences","relations to other papers"],"sources_read":["arXiv listing abstract v2"],"levels_not_run":["S sections","T body sentences","C citations","R cross-paper relations"],"sentences_examined":7,"sentences_in_abstract":7},"measured_accuracy":{"url":"https://pith.science/accuracy","measured_on":"2026-10-02","method":"two independent model families labelled a fresh random sample blind; 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