Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1906.00084.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:55:23.414632Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T23:57:47.984681Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- 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 32400df0-31c2-4435-9379-24b69fb5b391 · inbound
Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves cites this paper.
Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:48:58.103396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2962a95-c284-4f66-a74c-c574c7dcfe80 · inbound
Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves cites this paper.
Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:43:23.540463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7760646a-04d4-4e17-b25a-63e177e44391 · inbound
Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors cites this paper.
Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:26:11.725829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 82a51f85-1f58-42e8-a084-b547ba33b8eb · inbound
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T03:33:56.184110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 02f4de72-247d-4435-945c-658647ffa355 · inbound
Effects of Rotation on 3D Core-Collapse Supernova Models for Low-Mass Progenitors cites this paper.
Effects of Rotation on 3D Core-Collapse Supernova Models for Low-Mass Progenitors Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 191
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T23:57:48.001155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 236989f3-bad5-4bf1-998a-3342877e4b7b · inbound
Unveiling the Milky Way with a Gaia DR3 census of OB-type stars within 2 kpc. I. Tracing local Galactic structure, massive star-forming regions and core-collapse supernova progenitors cites this paper.
Unveiling the Milky Way with a Gaia DR3 census of OB-type stars within 2 kpc. I. Tracing local Galactic structure, massive star-forming regions and core-collapse supernova progenitors Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 146
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T20:56:34.305392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation be96486f-ef0b-49cd-87ab-f3be97a594a2 · inbound
Parameter Estimation Horizon of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors cites this paper.
Parameter Estimation Horizon of Core-Collapse Supernovae with a Network of Gravitational-Wave Detectors Detection Prospects of Core-Collapse Supernovae with Supernova-Optimized Third-Generation Gravitational-wave Detectors
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:55:23.414632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.