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Paper Citation Record · LEDGER

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.12169.

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

pith.paper-citation-record.v1
2002.12169 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:17:31.770124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:21:09.747849Z

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 ee086d2c-c823-478e-8a30-4fb734f508e9 · inbound

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review cites this paper.

Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:31.770124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:31.770124Z digest=sha256:7c19e095db1545ed056508a7c9fdd04e30330959f5eb2513e110028e433fcfad

Observation b6b8f783-b5b3-4059-a3f0-8e4289ed8e74 · inbound

Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift cites this paper.

Locality-aware Private Class Identification for Domain Adaptation with Extreme Label Shift Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:21:09.749726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T12:03:35.820897Z digest=sha256:0e5b6d0b0220ea950c659e2b23dfebaf204e9ada3c4fb7341f7b30c059948a0c