Paper Citation Record · LEDGER

Permutation Invariant Representations with Applications to Graph Deep Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2203.07546.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.07546 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:45:11.625997Z

measured 0 of 1 external citation measurements

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 73976933-33dd-45f2-a10a-3fed2bcb6f39 · inbound

MOLPIPx: an end-to-end differentiable package for permutationally invariant polynomials in Python and Rust cites this paper.

MOLPIPx: an end-to-end differentiable package for permutationally invariant polynomials in Python and Rust Permutation Invariant Representations with Applications to Graph Deep Learning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:11.625997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e223df05-a95e-4a66-b9eb-224ca0c37050 · inbound

The Spectral Barycentre of a Set of Graphs with Community Structure cites this paper.

The Spectral Barycentre of a Set of Graphs with Community Structure Permutation Invariant Representations with Applications to Graph Deep Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:59.340659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+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.