Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
$\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.07618.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:24:36.247841Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, 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
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 587adf49-9899-4ab6-8b66-bb36dc78a119 · inbound
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data cites this paper.
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data $\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility
Reference 119
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:24:36.247841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 041dbe39-f84c-4389-b433-cd633ce09939 · inbound
The ZTF-ULTRASAT experiment: Characterizing the non-transients in ULTRASAT's high cadence survey cites this paper.
The ZTF-ULTRASAT experiment: Characterizing the non-transients in ULTRASAT's high cadence survey $\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:10:47.198955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.