Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparing differentiable logics for learning with logical constraints
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.03847.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:31:53.314848Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T15:46:48.079787Z
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 1928d254-77f4-4651-8a3b-62f583422c60 · inbound
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report cites this paper.
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Comparing differentiable logics for learning with logical constraints
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:31:53.314848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5be9799-be5e-42d0-8afe-01f7a7e4c326 · inbound
Neural Network Verification is a Programming Language Challenge cites this paper.
Neural Network Verification is a Programming Language Challenge Comparing differentiable logics for learning with logical constraints
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:22.150261Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20c27ac4-9674-487d-8ddf-7e18012e8cec · inbound
Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces cites this paper.
Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces Comparing differentiable logics for learning with logical constraints
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T15:46:48.084139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.