Paper Citation Record · LEDGER

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.11463.

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

pith.paper-citation-record.v1
2412.11463 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:57:45.152462Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact3
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1750248-958e-414b-ade9-84b657b1a145 · outbound

This paper cites semanticscholar.org/CorpusID:220831008.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning semanticscholar.org/CorpusID:220831008

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.979818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94da999b-a89a-4776-a31a-dfd0e39ca2ff · outbound

This paper cites FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning FGAN: Federated Generative Adversarial Networks for Anomaly Detection in Network Traffic

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T14:57:45.673008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07991755-fb42-4048-92ee-59bb6fe3e839 · outbound

This paper cites In: Peng, Y., Liu, Q., Lu, H., Sun, Z., Liu, C., Chen, X., Zha, H., Yang, J.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: Peng, Y., Liu, Q., Lu, H., Sun, Z., Liu, C., Chen, X., Zha, H., Yang, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.962475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7e88a38-7bca-4943-9994-7171277dee98 · outbound

This paper cites IEEE Transactions on Medical Imaging 42(7), 2010–2021 (2023).https://doi.org/10.1109/TMI.2022.3202106.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning IEEE Transactions on Medical Imaging 42(7), 2010–2021 (2023).https://doi.org/10.1109/TMI.2022.3202106

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:45.026007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61a9e6a-4089-4faf-8b0c-e7261795adb3 · outbound

This paper cites Communications of the ACM63, 139 – 144 (2014),https://api.semanticscholar.org/CorpusID: 1033682.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Communications of the ACM63, 139 – 144 (2014),https://api.semanticscholar.org/CorpusID: 1033682

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.945390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 857a1145-008e-4ef5-8a40-abea32bc7245 · outbound

This paper cites 2019 IEEE International Paral- lel and Distributed Processing Symposium (IPDPS) pp.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning 2019 IEEE International Paral- lel and Distributed Processing Symposium (IPDPS) pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.928040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7726c96-4625-4ebf-ab65-14f4c42c354d · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2019), https://api.semanticscholar.org/CorpusID:58981871.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: AAAI Conference on Artificial Intelligence (2019), https://api.semanticscholar.org/CorpusID:58981871

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.907703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6611ccdb-a8a0-4943-922e-a2bc4cbdef87 · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2021), https://api.semanticscholar.org/CorpusID:245353364.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: AAAI Conference on Artificial Intelligence (2021), https://api.semanticscholar.org/CorpusID:245353364

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.881011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 198b4bf2-c0b6-421e-a8e0-01cee57dd34e · outbound

This paper cites 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.863712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8aa34582-1d67-4341-ad9e-721bb3ef5f23 · outbound

This paper cites In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:45.063542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0813ef5-1362-4374-a2bb-e1f37f1bf853 · outbound

This paper cites Federated Learning with GAN-based Data Synthesis for Non-IID Clients.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Federated Learning with GAN-based Data Synthesis for Non-IID Clients

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:57:45.264267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4c85882-201b-48ec-8c53-c1ba3e0dadac · outbound

This paper cites In: International Conference on Artificial Intelligence and Statistics (2016), https: //api.semanticscholar.org/CorpusID:14955348.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: International Conference on Artificial Intelligence and Statistics (2016), https: //api.semanticscholar.org/CorpusID:14955348

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.846365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d2e2f1c-e412-486e-855c-bb2e10714638 · outbound

This paper cites Scientific Data9 (2020), https://api.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Scientific Data9 (2020), https://api

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.828354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ceb795c1-3300-44ee-85c9-74178e76c380 · outbound

This paper cites In: International Conference on Learning Representations (2020),https: //openreview.net/forum?id=HJezF3VYPB.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: International Conference on Learning Representations (2020),https: //openreview.net/forum?id=HJezF3VYPB

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.808535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e1d774e-17cb-483e-9539-da5cd877c358 · outbound

This paper cites 406–417 (04 2020).

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning 406–417 (04 2020)

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:57:45.787358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7150485-f6e2-46dd-a909-7f152536d843 · outbound

This paper cites FedGAN: Federated Generative Adversarial Networks for Distributed Data.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning FedGAN: Federated Generative Adversarial Networks for Distributed Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:45.099458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f7ea474-d835-4e0b-ab85-520a196882c2 · outbound

This paper cites In: International Confer- ence on Learning Representations (2021), https://openreview.net/forum?id= LkFG3lB13U5.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: International Confer- ence on Learning Representations (2021), https://openreview.net/forum?id= LkFG3lB13U5

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.769556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68b83ee4-f475-4556-abde-b50dcde74f98 · outbound

This paper cites Mathematics 11(19) (2023).

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning Mathematics 11(19) (2023)

Reference 18

Resolution: verified exact; doi, observed 2026-08-11T14:57:45.238166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb251808-9d15-4643-902a-bea868c5208c · outbound

This paper cites In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR).

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.744074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3878a23b-8513-4979-acbe-5e005ff4e21a · outbound

This paper cites IEEE Transactions on Medical Imaging 42, 1955–1968 (2022), https://api.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning IEEE Transactions on Medical Imaging 42, 1955–1968 (2022), https://api

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.721952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca272b01-6daa-4caa-8264-1a030a78b5f7 · outbound

This paper cites FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T14:57:45.445107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e44426d4-76ee-4423-803c-30597095109b · outbound

This paper cites arXiv: Learning (2019),https: //api.semanticscholar.org/CorpusID:208264682.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning arXiv: Learning (2019),https: //api.semanticscholar.org/CorpusID:208264682

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:57:45.696731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e45be5a-299d-408b-b7ac-9592e3db03b8 · outbound

This paper cites The Computer Journal66(11), 2758–2772 (09 2022).https://doi.org/10.1093/comjnl/bxac118, https://doi.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning The Computer Journal66(11), 2758–2772 (09 2022).https://doi.org/10.1093/comjnl/bxac118, https://doi

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T14:57:45.199837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc669998-0699-4d8e-b15c-5ed10d39d635 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 26(9), 4635–4644 (2022).

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning IEEE Journal of Biomedical and Health Informatics 26(9), 4635–4644 (2022)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:45.152462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f96a0102-55ef-4b03-a292-49ba932ad91e · outbound

This paper cites https:// doi.org/10.1109/CVPR.2017.369, https://doi.ieeecomputersociety.org/10.

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning https:// doi.org/10.1109/CVPR.2017.369, https://doi.ieeecomputersociety.org/10

Reference 3471

Resolution: unresolved; no resolver link, observed 2026-08-11T14:57:45.122745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.