Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2405.14606.
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 2026-08-05T22:59:41.725605Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T22:59:42.532653Z
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 c2dfeb30-3930-438a-a3be-1bc5d4684e23 · inbound
Aggregate-Combine-Readout GNNs Are More Expressive Than Logic C2 cites this paper.
Aggregate-Combine-Readout GNNs Are More Expressive Than Logic C2 Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T22:59:42.587169Z
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.