Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inductive Learning of Answer Set Programs from Noisy Examples
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1808.08441.
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 2026-08-07T22:16:04.214843Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:55:57.138889Z
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 d2b458e0-be64-46bf-b833-092e1f980dd5 · inbound
Bridging Logic Programming and Deep Learning for Explainability through ILASP cites this paper.
Bridging Logic Programming and Deep Learning for Explainability through ILASP Inductive Learning of Answer Set Programs from Noisy Examples
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:16:04.214843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67d903bb-6eb2-4605-9623-554e9c64050c · inbound
Defining neurosymbolic AI cites this paper.
Defining neurosymbolic AI Inductive Learning of Answer Set Programs from Noisy Examples
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:22:44.862285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 464543aa-170c-4447-9f2e-5eb6d02253f9 · inbound
Explaining Neural Networks in Preference Learning: a Post-hoc Inductive Logic Programming Approach cites this paper.
Explaining Neural Networks in Preference Learning: a Post-hoc Inductive Logic Programming Approach Inductive Learning of Answer Set Programs from Noisy Examples
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T23:00:30.694630Z
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.