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Paper Citation Record · LEDGER

Domain Generalization by Mutual-Information Regularization with Pre-trained Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.10789.

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

pith.paper-citation-record.v1
2203.10789 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:54.041421Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:06:17.382693Z

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 40f362c7-8a8f-4507-b7ba-879df371404b · inbound

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes cites this paper.

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Domain Generalization by Mutual-Information Regularization with Pre-trained Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:06:17.387502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T13:06:16.741103Z digest=sha256:dc5ba71dceab1632b3a781479ae64253f973917be2166df6fdd14cee0376fff6

Observation f8bb760d-3a78-49e7-9e72-a0f33ff93c15 · inbound

PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization cites this paper.

PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization Domain Generalization by Mutual-Information Regularization with Pre-trained Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:54.041421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:54.041421Z digest=sha256:231a0e9afbcc516ee6f2730eb110d0f9dbbd5d8ce90cc693fb2f63dcb5ca3093