Paper Citation Record · LEDGER

Handling Distribution Shifts on Graphs: An Invariance Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.02466.

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

pith.paper-citation-record.v1
2202.02466 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:02.393129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:59:50.838985Z

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 4c55ab6b-d3f7-4080-b0fc-5fc86a0fbaa5 · inbound

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks cites this paper.

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:02.393129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bcfc322-dbe5-4d9b-8ea9-5616e0879d97 · inbound

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization cites this paper.

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:31.465793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae14531b-e91e-45b5-b00b-ecafb59bbd9f · inbound

A Recipe for Causal Graph Regression: Confounding Effects Revisited cites this paper.

A Recipe for Causal Graph Regression: Confounding Effects Revisited Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:22:24.777904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0269b09f-9cfb-42c2-9589-3506ab2a663e · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:53:17.656576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6a7f2240-a5a5-4884-9118-48dfadde1646 · inbound

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs cites this paper.

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:59:50.841053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72813482-b513-4731-8eee-ed3a96f40331 · inbound

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation cites this paper.

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T03:30:09.207707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.