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Paper Citation Record · LEDGER

Out-Of-Distribution Generalization on Graphs: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.07987.

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

pith.paper-citation-record.v1
2202.07987 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:21:56.678679Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs cites this paper.

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.

source=pdf_text observed=2026-08-08T11:21:56.678679Z digest=sha256:51f1e299999d540ec1795b9421101b5b74bee7e0776586c6395bb7b37977fe65

Observation ff78a7f7-f3ce-4e68-ad9d-13546bab17a4 · inbound

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem cites this paper.

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem Out-Of-Distribution Generalization on Graphs: A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:39:29.264996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:29.264996Z digest=sha256:aa84716c6b1dbc1b7e39b5847070f79c22101bdc98ac48b807dc812f4f21c048

Observation e5eb3463-43e3-44f0-89e7-9c53d769507b · inbound

Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures cites this paper.

Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures Out-Of-Distribution Generalization on Graphs: A Survey

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T21:41:37.883069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:41:37.883069Z digest=sha256:589340fd11121ad4095672d23c462f9a6256cc1edb646f511f5c0636e0c9c15d

Observation d92f895e-5fae-42bf-b3cb-3284d2236f3e · inbound

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization cites this paper.

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization Out-Of-Distribution Generalization on Graphs: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:01.634425Z

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.

source=pdf_text observed=2026-05-10T17:00:51.046061Z digest=sha256:d30aa97f2227c864ef37cbb0cab77f68682c23ec2a7704d50bb601eef9be2354

Observation fe24cc9d-68b2-498e-8bb3-28115ae3f45c · inbound

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States cites this paper.

Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States Out-Of-Distribution Generalization on Graphs: A Survey

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:49:28.136989Z

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.

source=pdf_text observed=2026-05-08T05:27:17.695647Z digest=sha256:57de6796a88eb6ebcb8eba5cf35aea897d960ba65667695be1ef4c51a2161d03