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Paper Citation Record · LEDGER

NVIDIA FLARE: Federated Learning from Simulation to Real-World

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2210.13291.

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

pith.paper-citation-record.v1
2210.13291 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:07:02.542974Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

58
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 712d9831-118f-473c-acb6-5c3b6f053b70 · inbound

Privacy Drift: Evolving Privacy Concerns in Incremental Learning cites this paper.

Privacy Drift: Evolving Privacy Concerns in Incremental Learning NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T20:54:26.658593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:54:26.658593Z digest=sha256:15373796ea1b9e69833b852267f8932255b99652ceec3866466e96a33d7962fe

Observation babf39e9-021e-4ede-b121-625188733540 · inbound

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System cites this paper.

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:24:42.837784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:24:42.837784Z digest=sha256:56cbeb1e511b01d9d0ad951d9fcaa917c7ab3ff15dd3fcc9b8a4a924c519d8a4

Observation 4194786f-af0a-428c-bc5c-7616115cc84c · inbound

Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis cites this paper.

Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 4157

Resolution
unresolved
no resolver link, observed 2026-08-10T21:42:32.088147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:42:32.088147Z digest=sha256:2dad2b84c352a5c3f0a3bcd27992bfd067bb6c47de5dde05a4e6af07336fe5b0

Observation 8d60c5fc-d42a-430f-8e63-4d45b2166216 · inbound

A Federated Random Forest Solution for Secure Distributed Machine Learning cites this paper.

A Federated Random Forest Solution for Secure Distributed Machine Learning NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T22:07:02.542974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:07:02.542974Z digest=sha256:3dec4a476c98b297bf4d429bdc6518c687d7052c00dd0d3b900bd590d98d35c0

Observation 159c3a30-e963-4810-8fce-1ef9c30efb90 · inbound

Modular Federated Learning: A Meta-Framework Perspective cites this paper.

Modular Federated Learning: A Meta-Framework Perspective NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 224

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:23.265672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:23.265672Z digest=sha256:c3bc785711f6d276e6edb8ceb9149b8f14b11b58c0b1935c72e2f69f50a34a74

Observation 2449db9e-25bf-40c1-b09b-dcf0ef52cb1e · inbound

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems cites this paper.

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:31.594274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:42:31.594274Z digest=sha256:ed5ec829c0917ea842db363c26191be89b2f1602589b6c0d0e5f68bd1b7a3abf

Observation 86837bfc-f495-43ce-9759-08711a0b878f · inbound

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems cites this paper.

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:39.414041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:39.414041Z digest=sha256:26332edb6dc6c03351ab67f8ede37c3a5ea26769b9d0bf8ed1a27c6d4b19a546

Observation 7b446025-0d94-49ab-8778-0a26587e85a3 · inbound

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios cites this paper.

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T01:02:28.515340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:02:28.515340Z digest=sha256:ff98e9957e0f74ade5973606718e98cba7794055bb4b71883040df5e3908c76c

Observation f463972b-d646-4c59-8871-de7428634fca · inbound

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research cites this paper.

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:33:33.339894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T21:31:35.045436Z digest=sha256:7ec247f1a6eb3a319bee2c7460257bf3f42593c4d76c60d0f9ec522d20b3e501

Observation bd15dccc-be44-487c-9ba5-ce730515dae8 · inbound

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research cites this paper.

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-03T15:33:25.890801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:33:25.890801Z digest=sha256:d1b38d91919d5fc907004fa8f5790b672921e0c376f2655505c841ce3088b571

Observation 38416e5b-9268-4b63-8d52-c95b8134e5b6 · inbound

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy cites this paper.

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:05:50.961082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T01:01:18.837912Z digest=sha256:0ff29669018f179db6735d053e6d149b1fea8d24ad8e41cf3def2eff1d336125

Observation e3542640-b500-484c-9afe-f75f956e6e8b · inbound

A Typed Tensor Language for Federated Learning cites this paper.

A Typed Tensor Language for Federated Learning NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:34:00.659284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-21T06:33:24.400786Z digest=sha256:4ba37cc50fed400efa1dd812724b72c9a684990f464f56b2e6650898b07cdaf9

Observation 0d5bac93-0801-42ca-b93f-d01fd8a42980 · inbound

Auto-FL-Research: Agentic Search for Federated Learning Algorithms cites this paper.

Auto-FL-Research: Agentic Search for Federated Learning Algorithms NVIDIA FLARE: Federated Learning from Simulation to Real-World

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:38:55.128423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-03T20:33:30.815266Z digest=sha256:c4599e572acf1afa2d4f2ce709b41981a8b1bc50ccd1e4f24e4eb18248e98853