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Paper Citation Record · LEDGER

Domain Generalization via Invariant Feature Representation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1301.2115.

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

pith.paper-citation-record.v1
1301.2115 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:33.755862Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T04:02:30.532872Z

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 05c6ff25-e304-4716-a74c-c16906f0c939 · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks Domain Generalization via Invariant Feature Representation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-23T04:02:30.535781Z

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.

source=pdf_text observed=2026-05-23T03:58:48.967122Z digest=sha256:87422003b88339020b95bb173e7b6a04de2f72da0dcda103e00a71b218b1edbe

Observation ae1b42a8-32c5-4b4f-a6c4-93bcba3503cc · inbound

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

Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization Domain Generalization via Invariant Feature Representation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:48:33.755862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:48:33.755862Z digest=sha256:247c7ed1713a64ef6143842485acbb4e191df14b4ecaa9e816cd7a38987e818e