Paper Citation Record · LEDGER

Deep Domain Confusion: Maximizing for Domain Invariance

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1412.3474.

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

pith.paper-citation-record.v1
1412.3474 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:14:43.812765Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T12:36:56.823718Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 c4d6045e-9836-40b7-883e-85a9d720d501 · inbound

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network cites this paper.

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network Deep Domain Confusion: Maximizing for Domain Invariance

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:15:47.149197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef40d3ea-61e3-4dce-adbd-d3aa8b24d884 · inbound

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

Remaining Useful Lifetime Prediction via Deep Domain Adaptation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-24T20:26:20.977954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61066b66-b11b-44a3-8197-fc74c6760593 · inbound

Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation cites this paper.

Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:09:39.826500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 39d40eef-0f32-4874-98d3-497b2669f7c6 · inbound

Environment Probing Interaction Policies cites this paper.

Environment Probing Interaction Policies Deep Domain Confusion: Maximizing for Domain Invariance

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-24T15:39:38.198297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d19706c-d80b-49c9-a767-e4246b56dcee · inbound

An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data cites this paper.

An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data Deep Domain Confusion: Maximizing for Domain Invariance

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T17:14:43.812765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e929d521-15f9-4fe8-a0e2-0c665873f83a · inbound

Variance Matters: Improving Domain Adaptation via Stratified Sampling cites this paper.

Variance Matters: Improving Domain Adaptation via Stratified Sampling Deep Domain Confusion: Maximizing for Domain Invariance

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T00:58:46.435051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 227324fb-89fc-4f5e-8bd9-cc285636c249 · inbound

Tunable Domain Adaptation Using Unfolding cites this paper.

Tunable Domain Adaptation Using Unfolding Deep Domain Confusion: Maximizing for Domain Invariance

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:28:16.904307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3a6729f-6484-4058-a2ad-1332445b0a80 · inbound

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method cites this paper.

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method Deep Domain Confusion: Maximizing for Domain Invariance

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T17:14:57.554186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9a7cb5-56ce-45c2-a4a6-a44a09ea7c88 · inbound

PAS: Estimating the target accuracy before domain adaptation cites this paper.

PAS: Estimating the target accuracy before domain adaptation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:20:56.182344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6a77ffd7-2e32-4345-b78e-67468dfd54da · inbound

A General Representation-Based Approach to Multi-Source Domain Adaptation cites this paper.

A General Representation-Based Approach to Multi-Source Domain Adaptation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:11:10.581976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59986235-d832-44bf-a2f9-1e2a096597a2 · inbound

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models cites this paper.

Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models Deep Domain Confusion: Maximizing for Domain Invariance

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:16:11.031351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74e1eaff-ef5f-48db-bc15-0aa0c41e07f6 · inbound

Adaptive Data Compression and Reconstruction for Memory-Bounded EEG Continual Learning cites this paper.

Adaptive Data Compression and Reconstruction for Memory-Bounded EEG Continual Learning Deep Domain Confusion: Maximizing for Domain Invariance

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:20:41.061588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4b88b421-d1e7-4597-90b6-4a2a36a0ea83 · inbound

A Robust Unsupervised Domain Adaptation Framework for Medical Image Classification Using RKHS-MMD cites this paper.

A Robust Unsupervised Domain Adaptation Framework for Medical Image Classification Using RKHS-MMD Deep Domain Confusion: Maximizing for Domain Invariance

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:18.968096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b599863-b09e-4f01-8ba3-e4fa122fc99b · inbound

Effective Knowledge Transfer for Multi-Task Recommendation Models cites this paper.

Effective Knowledge Transfer for Multi-Task Recommendation Models Deep Domain Confusion: Maximizing for Domain Invariance

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:11.800684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e23ba4e3-6a22-4b45-9444-2df867416bd7 · inbound

Bridging Domain Expertise and Generalization for Performance Estimation cites this paper.

Bridging Domain Expertise and Generalization for Performance Estimation Deep Domain Confusion: Maximizing for Domain Invariance

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:36:56.825113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7fffbeef-308f-46f9-8a5d-90c84fc8967e · inbound

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift cites this paper.

Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift Deep Domain Confusion: Maximizing for Domain Invariance

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-11T04:25:30.868527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e65ac9-9584-40c3-995d-feab09904750 · inbound

Variance-reduced Domain Adaptation using Paired Sampling cites this paper.

Variance-reduced Domain Adaptation using Paired Sampling Deep Domain Confusion: Maximizing for Domain Invariance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:08:01.179338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b82cb4-b8ee-4161-a438-7cbf35c2f33c · inbound

Online Variance Reduction for Domain Adaptation on Streaming Data cites this paper.

Online Variance Reduction for Domain Adaptation on Streaming Data Deep Domain Confusion: Maximizing for Domain Invariance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:04:13.410679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa81fd12-f902-4f52-93ed-128a455a8022 · inbound

Probabilistic Residual Learning for Online Recommendations cites this paper.

Probabilistic Residual Learning for Online Recommendations Deep Domain Confusion: Maximizing for Domain Invariance

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T09:14:49.333988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.