Paper Citation Record · LEDGER

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2203.00199.

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

pith.paper-citation-record.v1
2203.00199 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:08:06.974752Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-29T08:33:15.262815Z

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 4d4c01c5-6bbc-46e1-9ce1-04c07ab0f369 · inbound

Eigenvalue gaps of the Laplacian of random graphs cites this paper.

Eigenvalue gaps of the Laplacian of random graphs Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T23:08:06.974752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da3672b-4c08-4daf-a4ae-464ba3a7ad37 · inbound

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding cites this paper.

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-10T22:49:45.122119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f3c58e-406c-452f-9c09-3da0342b9139 · inbound

Image Segmentation: Inducing graph-based learning cites this paper.

Image Segmentation: Inducing graph-based learning Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.060148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec7e475-acf2-45f4-8403-6c5692dea5d8 · inbound

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations cites this paper.

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:04.755544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45ad7f4e-9740-470c-955c-ba7d6d1e863d · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:23.838613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e47c625-158f-4dcf-971c-4b0e1c936124 · inbound

OpenGT: A Comprehensive Benchmark For Graph Transformers cites this paper.

OpenGT: A Comprehensive Benchmark For Graph Transformers Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:37:17.884128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ff625c-9baa-44dd-834a-cbd31407ffa8 · inbound

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment cites this paper.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:44:53.304734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5fa3396-45cc-4088-b619-a0e34fce7381 · inbound

When Do Graph Foundation Models Transfer? A Data-Centric Theory cites this paper.

When Do Graph Foundation Models Transfer? A Data-Centric Theory Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:15.264228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.