Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Permutation Invariant Representations with Applications to Graph Deep Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.07546.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:34.233374Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T20:10:34.802852Z
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 f3c956c2-2183-4055-a4f5-88457629258e · inbound
On the (Non) Injectivity of Piecewise Linear Janossy Pooling cites this paper.
On the (Non) Injectivity of Piecewise Linear Janossy Pooling Permutation Invariant Representations with Applications to Graph Deep Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:11:34.233374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938c2b23-3990-4fc3-917b-273402a0f766 · inbound
Estimating the Euclidean distortion of an orbit space cites this paper.
Estimating the Euclidean distortion of an orbit space Permutation Invariant Representations with Applications to Graph Deep Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:54:14.205336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90c77c33-ff00-453a-9dff-6476faa79da5 · inbound
Monotone and Separable Set Functions: Characterizations and Neural Models cites this paper.
Monotone and Separable Set Functions: Characterizations and Neural Models Permutation Invariant Representations with Applications to Graph Deep Learning
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T20:10:34.805652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2de6eda5-d1b8-469f-8f59-1577090c007d · inbound
Monotone and Separable Set Functions: Characterizations and Neural Models cites this paper.
Monotone and Separable Set Functions: Characterizations and Neural Models Permutation Invariant Representations with Applications to Graph Deep Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:28:39.747389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9710340-add3-4677-ba2e-aebe7fd97c72 · inbound
Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layouts cites this paper.
Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layouts Permutation Invariant Representations with Applications to Graph Deep Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T17:28:26.015103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.