Paper Citation Record · LEDGER

The Risks of Invariant Risk Minimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2010.05761.

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

pith.paper-citation-record.v1
2010.05761 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:20:18.762620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.166259Z

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 74d42ca5-c31b-4863-bf77-fa9be4b823b2 · inbound

TIF: Learning Temporal Invariance in Android Malware Detectors cites this paper.

TIF: Learning Temporal Invariance in Android Malware Detectors The Risks of Invariant Risk Minimization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T20:20:18.762620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6773b9e5-0d8b-4076-bcc2-5279d22a408f · inbound

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization cites this paper.

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization The Risks of Invariant Risk Minimization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:34.408017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2ea1f9-8d16-49a9-a9d8-3e92964e97fe · inbound

When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts cites this paper.

When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts The Risks of Invariant Risk Minimization

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:13.290759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d34b06c7-34a8-47b9-a391-d9c3edb9bbd3 · inbound

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It The Risks of Invariant Risk Minimization

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:08:13.082729Z

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 580ab9bc-e8d5-4190-a26e-489934fe9ebb · inbound

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models cites this paper.

Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models The Risks of Invariant Risk Minimization

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:16:07.146327Z

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 3edd7ec5-8b26-4106-b1de-612c7aa37733 · inbound

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model cites this paper.

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model The Risks of Invariant Risk Minimization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:39:27.887910Z

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 cebf279e-1ed4-49c5-826b-06647e752773 · inbound

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model cites this paper.

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model The Risks of Invariant Risk Minimization

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:55:31.513917Z

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 c023c1cb-c95e-476d-9e73-bca221ccc6a8 · inbound

Invariant Gradient Alignment for Robust Reasoning Distillation cites this paper.

Invariant Gradient Alignment for Robust Reasoning Distillation The Risks of Invariant Risk Minimization

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:46.025711Z

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 ba7fb298-66b5-4db0-9581-648886179a8a · inbound

Is Spurious Correlation Removal Always Learnable? cites this paper.

Is Spurious Correlation Removal Always Learnable? The Risks of Invariant Risk Minimization

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:08:22.167722Z

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.