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Paper Citation Record · LEDGER

Unsupervised Domain Adaptation with Residual Transfer Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1602.04433.

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

pith.paper-citation-record.v1
1602.04433 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:49.200339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T18:03:18.053233Z

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 a0aa946c-2ce7-4c02-8f2e-a317b34b2901 · inbound

Navigating Distribution Shifts in Medical Image Analysis: A Survey cites this paper.

Navigating Distribution Shifts in Medical Image Analysis: A Survey Unsupervised Domain Adaptation with Residual Transfer Networks

Reference 150

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:03:18.056925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T18:02:49.355045Z digest=sha256:b4494465e68876247cf7bea1d48373fe5a3fff6ee8f96acac4058c36ea5e7375

Observation ca840c7a-d021-4782-9297-f07619f2a2b4 · inbound

Making deep neural networks work for medical audio: representation, compression and domain adaptation cites this paper.

Making deep neural networks work for medical audio: representation, compression and domain adaptation Unsupervised Domain Adaptation with Residual Transfer Networks

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:49.200339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:49.200339Z digest=sha256:1ceaf25421725ca272b9739cc644842571e80515d0b1cd882ec9362498d16a3d