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Paper Citation Record · LEDGER

Federated Adversarial Domain Adaptation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1911.02054.

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

pith.paper-citation-record.v1
1911.02054 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:25:54.303109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:36:36.178552Z

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 55d5ce1c-df8c-484c-bd0b-fc242fc27d28 · inbound

Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data cites this paper.

Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data Federated Adversarial Domain Adaptation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T12:25:54.303109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:25:54.303109Z digest=sha256:c277c041b2e8ecbb024551d4e3fcada0e6490abb7a631d764112c17e4155621b

Observation bce5e9e7-4d37-4a5f-994c-d7121ad7f0ae · inbound

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift cites this paper.

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift Federated Adversarial Domain Adaptation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:46:08.254768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:46:08.254768Z digest=sha256:60b4b671a31788658ccad884549cb2ebc786e74c91437dfa69794cb372e64e26

Observation 23e597a3-e703-4367-9114-ba0ddb1b9b25 · inbound

A Survey on Federated Learning in Human Sensing cites this paper.

A Survey on Federated Learning in Human Sensing Federated Adversarial Domain Adaptation

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-10T21:43:59.406899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:43:59.406899Z digest=sha256:bb29e53d7b06dca699dc87de9268638676df288337389293f29ab9d1181f70d2

Observation 63567c5c-dcca-4637-b562-92e7f4bfd6e6 · inbound

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis cites this paper.

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis Federated Adversarial Domain Adaptation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T16:58:40.774331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:58:40.774331Z digest=sha256:65ea41b0e07328e7d8ac53d42604b8151540eb001b90cf8f2d019fc37109edcf

Observation 34272ef0-5070-4ffe-b132-5f1d9c854dda · inbound

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting cites this paper.

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Federated Adversarial Domain Adaptation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:58.181535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:58.181535Z digest=sha256:8f2bf015d6ae15c7ea5049856c3a093ac2d11bd072381519e57d646313d5a996

Observation f51a9878-60b6-464e-ba12-d0acd06c8b03 · inbound

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment cites this paper.

FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Federated Adversarial Domain Adaptation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T14:18:19.032926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:18:19.032926Z digest=sha256:463f8743bf5582281a8b05034179e1452a6d5bad5167527093314ba53df45af1

Observation ba9bc882-4a69-4905-8647-fc4dca9dc5d6 · inbound

Federated Continual Learning: Concepts, Challenges, and Solutions cites this paper.

Federated Continual Learning: Concepts, Challenges, and Solutions Federated Adversarial Domain Adaptation

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-08T13:56:53.849246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:56:53.849246Z digest=sha256:9582ffb573915b9444ff3ab48cf994c8876a155dabc533c590674a208b7c4915

Observation 79cd4bc5-aed3-4399-90b7-50c5a54dec91 · inbound

Clustered Federated Learning via Embedding Distributions cites this paper.

Clustered Federated Learning via Embedding Distributions Federated Adversarial Domain Adaptation

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:23.050411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:23.050411Z digest=sha256:8ed9cf6493aa9dcde23d71128a793fa7afd7f621db39d3b34d792c83de6f1983

Observation 88636bca-9551-4b2a-a78b-cce55d044fbc · inbound

Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm cites this paper.

Cyst-X: A Multi-Center MRI Benchmark and Federated Learning Framework for Malignancy-Risk Stratification of Pancreatic Cystic Neoplasm Federated Adversarial Domain Adaptation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T12:12:12.461528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:12:12.461528Z digest=sha256:77c7bf861bebd90a1aca3b7d70e5fda62233d43420184ef477140a7d0aaf53dc

Observation b14e98ee-8dc7-4136-a4ab-aae043677921 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation Federated Adversarial Domain Adaptation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T20:19:08.558553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:19:08.558553Z digest=sha256:191369919df043779db802e08b8410dc84e6f7c80310178264d0711996dc834a

Observation 4d756df2-356b-4c6f-8501-e012c59c1ada · inbound

Enhanced localized conformal prediction with imperfect auxiliary information cites this paper.

Enhanced localized conformal prediction with imperfect auxiliary information Federated Adversarial Domain Adaptation

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:47:27.391713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T18:00:17.793161Z digest=sha256:09eeb24ab15a748a767c5e395c45954a1a169cb5e9f5d0adb422b16131fab369

Observation e327d421-3822-468c-8748-a700010dd2da · inbound

Robust Federated Learning Under Real-World Client Churn cites this paper.

Robust Federated Learning Under Real-World Client Churn Federated Adversarial Domain Adaptation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-07-09T22:36:36.179896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-09T22:28:05.992944Z digest=sha256:56c336e2f7d0af6728c8dfcc99b236d4516a81250be17390298432f4fcdf1b86