Paper Citation Record · LEDGER

Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2202.06856.

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

pith.paper-citation-record.v1
2202.06856 v2

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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:47:10.504332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T01:03:55.869074Z

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 b9613f47-2e45-43e2-8a5e-79b372bdde29 · inbound

Elastic Representation: Mitigating Spurious Correlations for Group Robustness cites this paper.

Elastic Representation: Mitigating Spurious Correlations for Group Robustness Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T20:23:58.662465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ff0042-ff71-4ec0-b4d7-9547ac6ba1f7 · inbound

AI for the Open-World: the Learning Principles cites this paper.

AI for the Open-World: the Learning Principles Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 148

Resolution: unresolved; no resolver link, observed 2026-08-16T11:47:10.504332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11bea96-7025-4552-92a8-cfc2d0edb95e · inbound

When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:21.264749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a20dad2b-6336-470d-9ad9-120c9484d6ca · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 145

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:31.817245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6fe9db2-ae60-4786-8ce5-ce8aaf132aed · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:03:56.012455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 508bfb08-907b-41f6-aa8e-bf891d98ac92 · inbound

ODD: Overlap-aware Estimation of Model Performance under Distribution Shift cites this paper.

ODD: Overlap-aware Estimation of Model Performance under Distribution Shift Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:46.488447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.