Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2603.20431.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T08:04:25.273338Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T08:14:26.054967Z
Reference resolution
0 of 0 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 065b06cc-4638-45c1-bce4-2d72206542b2 · inbound
labrador: A domain-optimized machine-learning tool for gravitational wave inference cites this paper.
labrador: A domain-optimized machine-learning tool for gravitational wave inference Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:34:23.634812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b69cff69-9fc2-4e23-89b9-af7a16a12abb · inbound
Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.
Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Reference 110
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:34:23.634812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c889f07a-c4fc-4b69-b0d3-3ca918102592 · inbound
Pre-localization of Massive Black Hole Binaries in the Millihertz Band cites this paper.
Pre-localization of Massive Black Hole Binaries in the Millihertz Band Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:34:23.634812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56e2000c-923c-4926-9682-534709098fda · inbound
Neural posterior estimation of Galactic Binary signals for the LISA mission cites this paper.
Neural posterior estimation of Galactic Binary signals for the LISA mission Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-08-05T01:34:23.634812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.