Pith. sign in

Paper Citation Record · LEDGER

A Survey of Unsupervised Deep Domain Adaptation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1812.02849.

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

pith.paper-citation-record.v1
1812.02849 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:15:55.205038Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T20:14:52.940816Z

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 417c38cd-e872-49b9-91b5-97286eda8939 · inbound

Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence cites this paper.

Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence A Survey of Unsupervised Deep Domain Adaptation

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-24T20:14:52.943581Z

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=2026-05-24T20:13:33.776091Z digest=sha256:2ed160a943dfd06437a97bff6693c6d4009bc7881279996d2bac0eb6c10d81d1

Observation 983f957c-5bb9-45a5-9472-278e475e875b · inbound

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems cites this paper.

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems A Survey of Unsupervised Deep Domain Adaptation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T13:15:55.205038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:15:55.205038Z digest=sha256:530b7ad8e05d8608afd6d78547ad46253a9b7855a9c6303ede91c0f0b82b982a

Observation e5420036-6dda-4ce4-80c9-cf46c9321a73 · inbound

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning cites this paper.

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning A Survey of Unsupervised Deep Domain Adaptation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T21:35:08.560744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:35:08.560744Z digest=sha256:c999d2d1be4461e9710a73bf26aeb82add37dea742535d3165be73c940c3179d