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Paper Citation Record · LEDGER

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning

As of 18 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.06616.

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

pith.paper-citation-record.v1
2607.06616 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:38:16.853216Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy56
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf627cd3-dbcf-4d40-abe9-c2227e41d90e · outbound

This paper cites Artificial intelligence and statistics , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Artificial intelligence and statistics , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.501454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:17ebe6e3e610fb8b86f437cd121e2efea4f494a0b9406400252688ae76bea037

Observation 373bedf1-cc07-44be-ba2d-179725110bd2 · outbound

This paper cites Federated Learning with Non-IID Data.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Federated Learning with Non-IID Data

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:48.042676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:bdd576425cd41873118fa0b4ff0eb4763fa07574ccdfc3eec5b7857def1aec9a

Observation c651fd64-cf2d-497a-8a93-306aac87aa23 · outbound

This paper cites Proceedings of Machine learning and systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of Machine learning and systems , volume=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.696926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:43a83223bd56e0d7ffbab07da1092352f637e143f8606c649cde7eba1794ed02

Observation a7cbb3da-dd7a-4311-a858-95c0b5e1b38b · outbound

This paper cites International conference on machine learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International conference on machine learning , pages=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.694400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:dcc4ff2e31932f4d1263ae2d269477021bcb0c153ef74933e34fbed76cb6bcd5

Observation 28d33c90-2f14-4557-be23-7c02afa4dccf · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.021791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:0604e80f5fd4953e5b4bfea377b346ad8cdf65aa16af8c457f8f26d31f3e69b1

Observation ecfd498d-94af-4e15-bb76-b11d27fceacf · outbound

This paper cites International conference on machine learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International conference on machine learning , pages=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.779735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:b2b5b71d5cede32d682d1c53085313e22037edbe61afaea35cf18266174a0551

Observation 6bc895a7-98f6-43f4-8246-190aaa47c3bb · outbound

This paper cites Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:48.000576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:656a4ad6db49e3c7a964993d6d5eebf16916c2dbe9d374e425bc58daeb7ff54a

Observation b81558c7-674a-469b-b8fd-15d3aad84b8d · outbound

This paper cites Advances in neural information processing systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in neural information processing systems , volume=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.341499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c92798b9912c9a02e5becdc77230b665c339a6fc9bdf9b376ba33ce32a5cebfe

Observation 4a819ee9-0a26-4075-bc6f-aaabc91d8b34 · outbound

This paper cites The 11th International Conference on Learning Representations (ICLR 2023)(01/05/2023-05/05/2023, Kigali, Rwanda) , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning The 11th International Conference on Learning Representations (ICLR 2023)(01/05/2023-05/05/2023, Kigali, Rwanda) , year=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.427060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:88c29dc2bf8afaf8e55ccf19084979888337aade1ca4f25fa0e5f488e241e710

Observation 830a3e4b-6806-4caf-91f3-fe6af82e61b3 · outbound

This paper cites Transactions on Machine Learning Research , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Transactions on Machine Learning Research , year=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.981950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:072c28efc841e549ea6f71fd411dd8ab0f10583891fb88b1fabaf962a30f3f4d

Observation bac43858-7585-4e6f-81ee-bc00663f5c20 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining , pages=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.474834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:4707d169356f24ae21656d0050f6556dedbcc52284d664401d8d175ec4ff3b7a

Observation 8c57c926-7ca5-4013-8e51-ca4bbb47a600 · outbound

This paper cites International Conference on Machine Learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Machine Learning , pages=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.369706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:b5e87b5486478d759987842f0be464c3d41fc0c49ebad768bf030cb04706dc12

Observation 05383d73-5baf-44b1-9fe4-a5534a38e369 · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.936133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:2db793d0b2fa3c0f416f8418e3307dfeca072096ad820ec015c6ae30981f3009

Observation 920480c5-4201-4309-97fa-7e55ed3ed4fe · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.277669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:1f32029e52d66ba683539a1dfc9aa2117efa9e45e8b1bbdf77cfd7f2d0a96c88

Observation 9ed227a6-b473-414b-8a79-965b5342e2a0 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.896592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:98d8e44082474c004dcbb3d95613e55b56a844e7410f59dd1876f208c8a65389

Observation 129f7813-4d4d-4878-822b-642e1975a4ba · outbound

This paper cites International Conference on Learning Representations , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , volume=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.808163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:6062b3b5e474c8b06c7d1c538e59eb67ae2bf019c83fc652f98693de7873ffc8

Observation d1525205-0a1c-4250-80ef-3e0380d981cd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.394665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:056647b748feb00efa99410bb04c1bf89460b45f6177fa64b5bc1841f34b417c

Observation 65c3f70a-92d8-46ec-a57e-dfcc683fd288 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.183791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:7e39eb55f7cbc3384cc7ce60c4d6eb6e917b83096e03002fb6ae109772c4bcee

Observation a06bb593-e1e3-494b-b2e4-908c064545ca · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.180202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:62b4d91befceba313e75a235521d0568c7b5210a724074fe09ccbc6b503abde5

Observation ea911a01-bffc-4d32-8a59-471604e64f0a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.111073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:1f0f88c27f3bbaf51d3b7f876c46ea0125475693849105f70e5aff6ecc0b1ddb

Observation 1434d986-eed6-4bdf-b2d0-df69d7d5f6f2 · outbound

This paper cites an unresolved cited work.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-07-11T02:17:57.037404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:9937edd3911fd26b3c6ddbc942a3fee517f9f06d410b65ea1123d7a9417428ba

Observation 735c3613-98a5-48f0-a92a-62cd69a7b5d4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.310234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c622e3ff82d894bef19be074b0e44ba1a2d35f7effd0cb5a354018fa3b378e60

Observation d0a5a82c-7fae-4054-b5ba-bb589f51e48e · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Differentially Private Diffusion Models Generate Useful Synthetic Images

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:47.926104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:04cf6f703a1d835889f6d6f0fc28e5ffecba93e5c57d51deb1c62761009b5cc9

Observation 01a3c974-88f8-4b91-b6e0-336e0f7961a6 · outbound

This paper cites Foundations and trends in machine learning , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Foundations and trends in machine learning , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.637368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:9c1cc6f1a0e2bdce078dad8fe2ab2e94966a2f73f7fdc9ba13595e22dea22ea2

Observation a5ef1a31-6d9c-4ccd-8599-2c04d5ed23c2 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:47.950481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:a46dabe0090769b669379b24f9f67dedf48b9ce1cb078e3d8045908c36acc590

Observation ded0ee4d-ec48-43a2-b9e3-19289fca2db1 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Transactions on Machine Learning Research , issn=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.215944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:7206f0693eab9f1c5516eab375cf3bb49766d8869a5b4f4a09c43a5638179b8f

Observation ca64462b-5118-4d0b-82e7-23c4dc8f3288 · outbound

This paper cites 2022 IEEE 38th international conference on data engineering (ICDE) , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning 2022 IEEE 38th international conference on data engineering (ICDE) , pages=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.531112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:8aed653e3e894a13da57f1310d32ba770d2af907faeb54443a8d9034ff4d87f7

Observation 1f18324f-beb2-4482-8a35-668c19158fc9 · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.099806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:3ae881d13841544c7d1a979e971c830069529387df3512b26e48c500a09caa51

Observation 88769d3a-eaf4-455f-9bcf-cf0455b0e2e5 · outbound

This paper cites Advances in neural information processing systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in neural information processing systems , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.244150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:0cb6a4fc9bd2e52321199e493319d69f4ba4cad2138ef2317c26ee0641f68d48

Observation c6a66389-9ab2-4459-9900-f55fcafd3069 · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.598774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:f3b9673ceaf431494202a22cff898020cc6b4c2e2fcf3617963c7eae646969ed

Observation 1736e1df-832a-4b84-a426-93a9ed6d6123 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.993847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:7cbfd923e7a952141ec35481b9a0b3dc3bb4778b74ff4b3757ed40c76cd44c99

Observation 18cde4bf-39c2-4d2c-a96c-0c3c6db95ee1 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.214382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c3e17d8972d152833029fd869ed763fe98315437b7daed16fb093ba730b7c156

Observation 4ead6e88-ec91-4b47-b6fe-99524ba698aa · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.126662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:d56ef834a0b2b9f66b24ee228f172e7a94e16c4b02c0398fd75e341505182c8a

Observation 8511747a-8350-451f-a657-d26df1c96927 · outbound

This paper cites Advances in neural information processing systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in neural information processing systems , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.020134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:295d3a10f5262674fee282d0439c33dca14f4d0ef89378e5870bf1bd250ced0f

Observation 2df8276d-087c-4cf4-94ce-da0ce209ff84 · outbound

This paper cites NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications , year=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.366186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:a07d4935a46f02747b58dd07213ef4b461df1ebc036b5ae16224a1b705772340

Observation 7d3f5815-1b1d-454a-ab3e-4b62da37d888 · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.722051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:d25e5fb053e41b6f89e9fbcd5a776e8757432237b5eff40117828d8ff0415697

Observation 4a9acc49-66a1-4a20-adf8-e5788be841a9 · outbound

This paper cites IEEE signal processing magazine , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning IEEE signal processing magazine , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.340704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:cade45dec148ff13529e0f74dcf68ccc95e74a15cc45b9457f8f4faa8701d26a

Observation 25c47047-3635-4994-b1d8-d24e85009f17 · outbound

This paper cites International conference on machine learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International conference on machine learning , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.752758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:2ac37206aab015e1f74d7d1eecceeaf0e3c44b67c0cee2231d818b14ea4b6e71

Observation c65b2a93-dd33-42d6-8c92-cb6c0b9cafe9 · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.836061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:667c4aafda91c62be9da093bd5a1199fe9ba8cf55c01c3b6abb16d6a7778a20e

Observation 505a82b1-6f62-4d72-95cf-ce0a146cf620 · outbound

This paper cites Communications of the ACM , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Communications of the ACM , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.399219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c8e17a3ce0d119c42f2423a99be08a6a42f45039b8a45dc4bff4b915510ba3d8

Observation 79c05591-6816-48df-bcc7-ef9cd62e5e9c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.139187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:2648f67377aa99ff22f6fa2f6cb8866bfe6d37a656d3a0675fb74a34af4d996b

Observation 6cc0fa4b-8974-4731-992d-94ef03c81f02 · outbound

This paper cites European Conference on Computer Vision , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning European Conference on Computer Vision , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.926488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:1db0a72ee07b0eabcfb38b25bd34397597a99ca05a819b4172aa03c922205e48

Observation e3a1bf19-7934-437b-b80b-7d4aac9dc57f · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.503681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c1d40089f8463f777ea2342cd92195a6f52dacaade3ac4a5860fdb0a2c370575

Observation 5d689d17-8914-4f10-86cd-292ff1801905 · outbound

This paper cites 2009 , institution=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning 2009 , institution=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.428520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:f5dbbab4aaa6414d57e831db8b10b13fe197f086ebfe6d1341f0c985cd8c08d7

Observation 55c07618-50b9-4fb6-9ef5-6bcd864da23c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.588425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c8633bdfb8aaaa0bdf37dcb5925528c94b2913498c0b301872ca2030e3aae882

Observation c489bb9f-a0b9-4b32-b084-5883a4393c23 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.850310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:0e7e4018039d26ebabfeac07584e6acc0234532ca17dd3a270629f35e5277745

Observation b685be83-9772-47cb-ad3c-3dc21497689c · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Improved Regularization of Convolutional Neural Networks with Cutout

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:48.063874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:0ebaee13b4c2257fec2db73e83985e54a00300f893ec76005d3bf23e6773a541

Observation 5c98ffb4-6961-4b68-be19-62d629700c1c · outbound

This paper cites Journal of big data , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Journal of big data , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.067063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:d3248b3e4d9675771accd455e9d44f31217beb0532c63d17bb5328c172157ced

Observation 2a05f284-72cb-4c03-9b0e-e246c10a4bb7 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.880751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c5f21cee2fdfe6ba7f09adf67889f94e5defaa883d25cd1fa624b269340add79

Observation 3b7c4f32-fde6-44fb-8149-b82b05bc584c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.954092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:ea50ea5b4d1eb3595d53a6718b07c1c76e72219b4dbfc9cda5d3e14ad3580c5f

Observation 3729a3c5-f037-4eff-9d84-26180f20bc6b · outbound

This paper cites Advances in neural information processing systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in neural information processing systems , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.156237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:86cc5940429edc4c735b3464454f9423af8d16b151238dd0aa4cef736a4e6ab9

Observation 048fef8a-85b0-4d61-ab4e-4feffd3aa2ae · outbound

This paper cites International conference on machine learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International conference on machine learning , pages=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.558913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:b027725b4a11f1174f58ab5fcde95b9740e057b5b562302e8e3a9a447ab92688

Observation 1d58112c-b6ad-435b-a5fa-5c2f1859db72 · outbound

This paper cites International conference on machine learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International conference on machine learning , pages=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.788929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:4fcb72d122452a1001653e0231a86e8707b5984afd8fe3dc6618122ba60695cd

Observation ca694b2a-3018-4d3a-9f5e-f9b6701d7f25 · outbound

This paper cites Personalized Federated Learning: A Meta-Learning Approach.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Personalized Federated Learning: A Meta-Learning Approach

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:48.021975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:10c9f3a979bb4e88fd31d0f0a2a00547dd414bd8cd97c7ebbbe126a157696285

Observation 34175923-bca9-435c-905f-1cdcaabb8043 · outbound

This paper cites Advances in neural information processing systems , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Advances in neural information processing systems , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.907996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:195fbcace97e7c1ff745437a4f0af449177e3de54c21149e45f43c9040c7deef

Observation 6563c9c9-4ee7-472a-bee0-d201ae62263a · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.726304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:c0725ef1126691f6a8d9adbcef47da456cd8faf9c54d01db1bb7944e0e164ffd

Observation bf3e2497-a7e0-4873-8381-e8318be8f701 · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.613552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:be6af99d2073de36856f91bca94aa95ef80e82bf9bcdab9c7cfec0662a272024

Observation 0fbe45d0-3682-4f58-b48e-a84b629b3def · outbound

This paper cites International Conference on Learning Representations , year=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International Conference on Learning Representations , year=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.867541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:065f8d884e55365d1b1b6c43ca9afbdae1db5ae3e109ca683c16c3dbfc57fef0

Observation 3a676996-4fa8-445c-8aa7-1f5492a0ae62 · outbound

This paper cites International workshop on trustworthy federated learning , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning International workshop on trustworthy federated learning , pages=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:57.009763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:91c756282bcb90a10f60b1998d0b6a3f54e63c00adeb06042ed03d910dbbbfb3

Observation 804c30ec-aebe-4372-acde-9fbe355d660e · outbound

This paper cites Chinese Conference on Pattern Recognition and Computer Vision (PRCV) , pages=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Chinese Conference on Pattern Recognition and Computer Vision (PRCV) , pages=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.667578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:f1ef4e665552fc881a77f893fb33592d8e45737c31b31d6be4af625060c19105

Observation 90c107a5-3ef9-41cb-ac81-7a2b1e2de61c · outbound

This paper cites IEEE Access , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning IEEE Access , volume=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.663497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:13e76458cd96b1cdc19cabf5a71c3e974c2a9c3d4cf72d4c6b9655ae12dc40d4

Observation 28dbbb8f-08b9-493f-a835-e53f3d53abc0 · outbound

This paper cites IEEE Transactions on Mobile Computing , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning IEEE Transactions on Mobile Computing , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:55.565193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:7df252374a1d1b5b253e45a64d3f92aa0242c007a46e186d2d7a140301041f27

Observation 60a7c0b7-853a-496c-b9d0-fcf91b11871c · outbound

This paper cites Federated Learning Empowered by Generative Content.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning Federated Learning Empowered by Generative Content

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T01:47:47.978621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:9e28e417aa8f8e4e016199c1914511a6378a467b8186f4026b982d53f6533bc0

Observation bb3773f6-aa0c-4e18-b3fa-2328b091b054 · outbound

This paper cites IEEE Transactions on Mobile Computing , volume=.

WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning IEEE Transactions on Mobile Computing , volume=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T02:17:56.115173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-11T01:38:16.853216Z digest=sha256:e24af7716ff36d379272e3ff668ee436b109e48e03533f41c3ad5473eb130d2a

Pith citing papers

No inbound Pith citation observations are available.