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Paper Citation Record · LEDGER

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.07766.

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

pith.paper-citation-record.v1
2206.07766 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:43.896239Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:58:45.045106Z

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 875dcf57-1c49-46fa-81ce-1d28b5d9d79f · inbound

Robust Invariant Representation Learning by Distribution Extrapolation cites this paper.

Robust Invariant Representation Learning by Distribution Extrapolation Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:43.896239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:43.896239Z digest=sha256:86de5a06ee28992a37b71d1868845b0bac37fe09141cc111cd11c5bae2747c72

Observation 9e00c426-979d-45d4-878d-73620d0f4f66 · inbound

Data Heterogeneity Modeling for Trustworthy Machine Learning cites this paper.

Data Heterogeneity Modeling for Trustworthy Machine Learning Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:58:45.179184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:58:33.743063Z digest=sha256:a5010bd5425cb05e7da205dd24f9207c978e9e0f91e2dcd362b1c497aa19bd9c