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Paper Citation Record · LEDGER

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.11120.

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

pith.paper-citation-record.v1
2402.11120 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:16:40.492300Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 e0cf0902-1bb2-4f57-a727-c7e24d08e625 · inbound

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning cites this paper.

A Step Towards Robust Unsupervised Domain Adaptation via Fine-Tuning and Reinforcement Learning DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T01:16:40.492300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:16:40.492300Z digest=sha256:4d06931da80fbff223a1319b4faa62ef335f1dcb6e9f804dae8cafbe716ffeb0