Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeurASP: Embracing Neural Networks into Answer Set Programming
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.07700.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T09:59:08.626059Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T05:51:24.292614Z
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 34bb2909-693a-4995-a6eb-41d223978ee7 · inbound
DeepLog: A Software Framework for Modular Neurosymbolic AI cites this paper.
DeepLog: A Software Framework for Modular Neurosymbolic AI NeurASP: Embracing Neural Networks into Answer Set Programming
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:51:24.299689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0b77608e-0c8b-492b-995c-f078053339e1 · inbound
SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data cites this paper.
SoftReason: A Fully Differentiable Neuro-Soft-Symbolic Deductive Reasoning Architecture over High-Dimensional Perceptual Data NeurASP: Embracing Neural Networks into Answer Set Programming
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:59:08.626059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5465f8e-efa0-4409-a1df-91c965fcd778 · inbound
A Fuzzy Rule-based Neuro-Symbolic Approach for Pipe Severity Prediction in Sewer Networks cites this paper.
A Fuzzy Rule-based Neuro-Symbolic Approach for Pipe Severity Prediction in Sewer Networks NeurASP: Embracing Neural Networks into Answer Set Programming
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T06:00:23.116955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.