Paper Citation Record · LEDGER

Domain-Adversarial Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1412.4446.

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

pith.paper-citation-record.v1
1412.4446 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:35:08.437243Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T20:26:20.980569Z

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 ffbe6e7d-80b1-40f7-8a96-76990e8e3f22 · inbound

Concrete Problems in AI Safety cites this paper.

Concrete Problems in AI Safety Domain-Adversarial Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:16:32.855324Z

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.

Observation d87af4e2-f9a3-4827-b288-0186dc482353 · inbound

Remaining Useful Lifetime Prediction via Deep Domain Adaptation cites this paper.

Remaining Useful Lifetime Prediction via Deep Domain Adaptation Domain-Adversarial Neural Networks

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:26:20.983025Z

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.

Observation f1fff226-a2bc-4e22-98f4-4f97de33adf9 · inbound

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

Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence Domain-Adversarial Neural Networks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:14:52.938342Z

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.

Observation ad1dee4f-2162-4fea-b191-67ee47a341c2 · inbound

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

Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning Domain-Adversarial Neural Networks

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T21:35:08.437243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838b9648-ebf0-4a2f-a9fa-f88a7a2197e0 · inbound

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments cites this paper.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Domain-Adversarial Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.885871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc25776-a611-4f1d-a19e-9a786a49acfc · inbound

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene cites this paper.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Domain-Adversarial Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T14:45:08.323500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105e0b9e-6100-4478-a794-b52f6b42b260 · inbound

When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame Domain-Adversarial Neural Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:40:14.869811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d18ebc1-c976-4842-9f6b-4dc23e58fd8b · inbound

Human Heterogeneity Invariant Stress Sensing cites this paper.

Human Heterogeneity Invariant Stress Sensing Domain-Adversarial Neural Networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:30:21.664987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54235055-b9af-472c-8814-625da86b49ff · inbound

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation cites this paper.

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation Domain-Adversarial Neural Networks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:07:39.226167Z

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.

Observation 054f9efb-c27a-4768-a27e-0966ab2842d0 · inbound

CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization cites this paper.

CrossFlowDG: Bridging the Modality Gap with Cross-modal Flow Matching for Domain Generalization Domain-Adversarial Neural Networks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:52:13.806202Z

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.