Paper Citation Record · LEDGER

Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.01313.

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

pith.paper-citation-record.v1
2302.01313 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:51.938796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:08.715845Z

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 0a39b974-980c-41a4-b112-20f0e4a884de · inbound

Graph Foundation Models: A Comprehensive Survey cites this paper.

Graph Foundation Models: A Comprehensive Survey Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Reference 278

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:51.938796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e9c7be-2a72-4b2d-a555-2a288d1bec29 · inbound

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering cites this paper.

Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:47:36.115558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0153e60-1f3c-4c60-9529-4deca9bf8eb8 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:48.348331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e66fa620-6a52-4794-8431-d1b2af9b334e · inbound

Bridging Input Feature Spaces Towards Graph Foundation Models cites this paper.

Bridging Input Feature Spaces Towards Graph Foundation Models Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:41:08.718516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.