Paper Citation Record · LEDGER

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2502.07968.

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

pith.paper-citation-record.v1
2502.07968 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:21:56.723048Z

measured 19 of 19 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:01:54.194328Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:21:07.085371Z

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy7
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbbbfca6-e2a4-4baa-9afc-176a184d26fd · outbound

This paper cites On the other hand,Photo is a co-purchasing network, with nodes representing specific goods and edges denoting frequent co-purchases of two goods.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs On the other hand,Photo is a co-purchasing network, with nodes representing specific goods and edges denoting frequent co-purchases of two goods

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.898803Z

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 d265c316-e9f2-4a97-8496-e21d3c4e5404 · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs MolGAN: An implicit generative model for small molecular graphs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.661227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfb3adc-c937-4339-a9cc-5e17ca8cd568 · outbound

This paper cites Out-Of-Distribution Generalization on Graphs: A Survey.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Out-Of-Distribution Generalization on Graphs: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.678679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e480bb35-e6b3-4591-bbf5-5e6f2d2415d6 · outbound

This paper cites an unresolved cited work.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:21:56.852939Z

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 e3adcc46-66a0-4205-bdc3-056c7612c087 · outbound

This paper cites A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.695116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b2ca8e-5317-45bd-b0e0-9ebd35ed7e9c · outbound

This paper cites MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:21:56.758742Z

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 bdb2bbb2-cc77-4d43-a38f-ec86b8743819 · outbound

This paper cites Theorem 3.1.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Theorem 3.1

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.911152Z

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 a1b65658-09ae-4b55-8d2c-415ec6a78b77 · outbound

This paper cites We follow the parameter setting in their code and set the learning rate as 0.01.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs We follow the parameter setting in their code and set the learning rate as 0.01

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.863553Z

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 a7ce01be-300b-4525-aabd-69bb91d8c40f · outbound

This paper cites • DRNN (Koh et al., 2021): DRNN aims to tackle the distribution shift problem by ensuring that the distribution minority receives sufficient training.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs • DRNN (Koh et al., 2021): DRNN aims to tackle the distribution shift problem by ensuring that the distribution minority receives sufficient training

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.874753Z

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 4f69d2a5-09b7-4156-882b-b8d30f91be21 · outbound

This paper cites In our experiments, we utilize fourteen networks: John Hopkins, Caltech, Amherst, Bingham, Duke, Princeton, WashU, Brandeis, Carnegie, Cornell, Yale, Penn, Brown, and Texas.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs In our experiments, we utilize fourteen networks: John Hopkins, Caltech, Amherst, Bingham, Duke, Princeton, WashU, Brandeis, Carnegie, Cornell, Yale, Penn, Brown, and Texas

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.886675Z

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 548df58b-b396-4bc6-a252-9490c242d7fc · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Representation Learning with Contrastive Predictive Coding

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.682933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d926560c-22ac-4bf7-bffc-85eaebfa5ab9 · outbound

This paper cites Auto-Encoding Variational Bayes.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Auto-Encoding Variational Bayes

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.670216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0a44fef-b87f-417a-91a3-f2d8d13e0e5b · outbound

This paper cites Graph few-shot class-incremental learning.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Graph few-shot class-incremental learning

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.922653Z

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 05daac58-19cc-4b48-83a5-9314ced353a4 · outbound

This paper cites Invariant Risk Minimization.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Invariant Risk Minimization

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.656300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04d2565-5b43-4b78-9aed-a93c6d42b0b3 · outbound

This paper cites Variational Graph Auto-Encoders.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Variational Graph Auto-Encoders

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.674567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b46ff7b-fdd7-4986-a432-b2f731e6100d · outbound

This paper cites Collective spammer detection in evolving multi-relational social networks.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Collective spammer detection in evolving multi-relational social networks

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:21:56.934011Z

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 3eb2e033-8658-4f4f-b5c3-4e39c2cb5be0 · outbound

This paper cites Safety in Graph Machine Learning: Threats and Safeguards.

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Safety in Graph Machine Learning: Threats and Safeguards

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T11:21:56.690843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5b82349f-476b-4024-92a6-6d976d96cfe7 · inbound

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective cites this paper.

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective Generative Risk Minimization for Out-of-Distribution Generalization on Graphs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T23:01:54.194328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f09a5c8-a4fe-4573-983a-e89fd52ce13a · inbound

On the Safety of Graph Representation Learning cites this paper.

On the Safety of Graph Representation Learning Generative Risk Minimization for Out-of-Distribution Generalization on Graphs

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:21:07.088296Z

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.