Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.01900.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-14T22:17:48.826690Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-14T22:17:48.999393Z
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 1fda14fd-0ff6-4249-9e44-28f8af758f04 · inbound
How Powerful are Graph Neural Networks? cites this paper.
How Powerful are Graph Neural Networks? Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:34:22.130690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20e89481-b4cc-4d0e-b65b-de0674907599 · inbound
Neural Operator: Graph Kernel Network for Partial Differential Equations cites this paper.
Neural Operator: Graph Kernel Network for Partial Differential Equations Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Reference 136
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-14T22:17:49.002944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d85b1a15-8c72-488e-bd3b-f5c3ec0e0045 · inbound
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:39:29.831241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.