Paper Citation Record · LEDGER

Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.06607.

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

pith.paper-citation-record.v1
2106.06607 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:43.880306Z

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

44
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 e7f21376-1be8-4057-a5e2-5858b60736b7 · inbound

Robust Invariant Representation Learning by Distribution Extrapolation cites this paper.

Robust Invariant Representation Learning by Distribution Extrapolation Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:43.880306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cefb4f98-daf0-4ba6-bc78-291eca6f75c6 · inbound

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

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:29.387746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97aaf0bf-43af-42fd-9df2-ecb7b969a6c2 · inbound

The Statistical Cost of Adaptation in Multi-Source Transfer Learning cites this paper.

The Statistical Cost of Adaptation in Multi-Source Transfer Learning Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:21:21.284244Z

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 c8a25f23-aff0-4325-b4a7-882988538960 · inbound

Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting cites this paper.

Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:28:50.317664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.