Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.07837.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:56:45.092462Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:55:43.137995Z
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 5b87b4bd-daa7-4c4b-b6f2-263b99a2db97 · inbound
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders cites this paper.
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:56:45.092462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58591646-8c2d-4454-bec4-817f69a44967 · inbound
Cutting through Complexity: How Data Science Can Help Policymakers Understand the World cites this paper.
Cutting through Complexity: How Data Science Can Help Policymakers Understand the World Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:16:07.926801Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d489eb0-fb50-44c5-9e6e-e69a11401232 · inbound
Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training cites this paper.
Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:55:43.142860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.