Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Radiative, two-temperature simulations of low luminosity black hole accretion flows in general relativity
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1605.03184.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-30T00:54:06.821557Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
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- malformed identifier0
- metadata mismatch0
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 b584b910-ebee-4cec-961f-4b125da2703c · inbound
Polarization Signatures from GRMHD Simulations of Black Hole Accretion cites this paper.
Polarization Signatures from GRMHD Simulations of Black Hole Accretion Radiative, two-temperature simulations of low luminosity black hole accretion flows in general relativity
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T03:08:59.406165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f584a916-7108-4e6b-98d4-d50036ba86fa · inbound
Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning cites this paper.
Identifying Observational Signatures of Flux Eruption Events in Supermassive Black Hole Accretion Flows with Machine Learning Radiative, two-temperature simulations of low luminosity black hole accretion flows in general relativity
Reference 184
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T00:54:06.822872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.