Causal effects are identifiable from a single proxy of the unobserved confounder under the SPICE completeness assumption, supported by a neural estimation framework.
year = 2021
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Radiative-transfer simulations with common dust models generate a range of spectral indices but cannot reach the lowest observed emissivity indices in protostars without invoking unexpectedly large millimeter-sized grains.
citing papers explorer
-
Identifying Causal Effects Using a Single Proxy Variable
Causal effects are identifiable from a single proxy of the unobserved confounder under the SPICE completeness assumption, supported by a neural estimation framework.
-
Pristine composition or size evolution: Can current dust models reproduce emissivities observed in nearby protostars?
Radiative-transfer simulations with common dust models generate a range of spectral indices but cannot reach the lowest observed emissivity indices in protostars without invoking unexpectedly large millimeter-sized grains.