Paper Citation Record · LEDGER

Domain-Adversarial Training of Neural Networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1505.07818.

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

pith.paper-citation-record.v1
1505.07818 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:50:07.922334Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

75
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6db263a9-203b-43ce-a29e-43dfec30adf2 · inbound

MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis cites this paper.

MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis Domain-Adversarial Training of Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:32:26.255596Z

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 9e9e3daa-1b85-46b0-914d-81ee5a97e1ba · inbound

From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping cites this paper.

From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping Domain-Adversarial Training of Neural Networks

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T03:57:02.992374Z

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 c0d691fc-06dc-4f3e-bb18-761364967281 · inbound

Feature-Weighted Maximum Representative Subsampling cites this paper.

Feature-Weighted Maximum Representative Subsampling Domain-Adversarial Training of Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T19:50:07.922334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b1ed69c-e944-4d3d-8913-22dd4aeed72a · inbound

Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy cites this paper.

Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy Domain-Adversarial Training of Neural Networks

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T15:56:13.451252Z

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 f85cffa2-8bd5-44de-afd8-e4d5010e9170 · inbound

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation cites this paper.

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation Domain-Adversarial Training of Neural Networks

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:07.790238Z

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 5b6d0f67-63d4-49da-97aa-7675ed5c6c65 · inbound

Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI cites this paper.

Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI Domain-Adversarial Training of Neural Networks

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:36:06.108710Z

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 01b38ab7-539d-470b-ac11-5d951b613376 · inbound

Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties cites this paper.

Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties Domain-Adversarial Training of Neural Networks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:46:07.262397Z

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 3c04ff5a-c1c3-4789-a159-1b8b4d5cd83d · inbound

YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts cites this paper.

YOTOnet: Zero-Shot Cross-Domain Fault Diagnosis via Domain-Conditioned Mixture of Experts Domain-Adversarial Training of Neural Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:11:05.247206Z

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 23535d1e-6570-4317-8ec9-3ae88de47c60 · inbound

Vector Linking via Cross-Model Local Isometric Consistency cites this paper.

Vector Linking via Cross-Model Local Isometric Consistency Domain-Adversarial Training of Neural Networks

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T22:42:46.991982Z

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 61e43125-dbe4-47be-8f47-ecde8cc20df0 · inbound

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models cites this paper.

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models Domain-Adversarial Training of Neural Networks

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-28T19:22:34.252599Z

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 00f8f28b-f5ce-445d-8050-a7f9f5dd030e · inbound

Identifying Gems from Roman RAPIDly cites this paper.

Identifying Gems from Roman RAPIDly Domain-Adversarial Training of Neural Networks

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T07:21:45.095454Z

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 72f95089-e591-4730-89d5-a31c01a761b5 · inbound

A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding cites this paper.

A cross-process welding penetration status prediction algorithm based on unsupervised domain adaptation in laser and TIG welding Domain-Adversarial Training of Neural Networks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-27T05:20:35.554645Z

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 5884541b-d76f-4ddb-b714-bf0443c985b4 · inbound

PGUDA: Pressure-Guided Unsupervised Domain Adaptation with Cross-Modal Knowledge Distillation for sEMG-Based Gesture Recognition cites this paper.

PGUDA: Pressure-Guided Unsupervised Domain Adaptation with Cross-Modal Knowledge Distillation for sEMG-Based Gesture Recognition Domain-Adversarial Training of Neural Networks

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-01T11:25:45.870903Z

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 0006fb81-ce5b-4b5f-9013-40f8f4244066 · inbound

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification cites this paper.

DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification Domain-Adversarial Training of Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T11:22:18.921560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.