Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.00026.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:16:06.145795Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 08d318a6-640a-4b5e-97da-feb868925166 · inbound
Cosmological Simulations of Galaxies cites this paper.
Cosmological Simulations of Galaxies 3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:16:06.145795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e5d95fc-dd17-44eb-b044-44b81d165267 · inbound
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database cites this paper.
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database 3D-Spatiotemporal Forecasting the Expansion of Supernova Shells Using Deep Learning toward High-Resolution Galaxy Simulations
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-01T15:48:26.996793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.