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Paper Citation Record · LEDGER

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.23849.

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

pith.paper-citation-record.v1
2505.23849 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:22.244838Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

50 of 50 outbound references displayed

  • verified exact6
  • verified fuzzy26
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbcd7034-b9c0-4828-9963-dd60fdd59ca6 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T13:02:28.569568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:17.639019Z digest=sha256:1b6436638dc426984e04fe980a78c0aaa97bb058d1c2857261c925cf4f849f33

Observation 6e9d17d3-b324-4fb1-9c45-67398f08e13d · outbound

This paper cites Federated learning: Challenges, methods, and future directions,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Federated learning: Challenges, methods, and future directions,

Reference 2

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source=pdf_text observed=2026-08-07T13:02:17.721210Z digest=sha256:121fa765846ce7b9329d593b3c456a8bb96a990617ac2c566236c90840ef38bd

Observation 8b585ec5-6291-413b-a77b-e66a987db3a4 · outbound

This paper cites Data pipeline challenges in privacy-preserving federated learn- ing,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data pipeline challenges in privacy-preserving federated learn- ing,

Reference 3

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raw_fallback, observed 2026-08-07T13:02:28.393619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:17.807193Z digest=sha256:9dcf260087d4a74c1b58d69fb91bacc32a55bbc9014351b8c67eac04831b256d

Observation 676c115e-be26-46d6-bacb-62c8116f7a6a · outbound

This paper cites The impact of data quality on federated versus centralized learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning The impact of data quality on federated versus centralized learning,

Reference 4

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raw_fallback, observed 2026-08-07T13:02:28.237609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:17.902807Z digest=sha256:930c34b11e2d6ea34f782ac183fb0333b7ca54f0215ab7453886739dcb67fcea

Observation feb8cd33-3fe9-4315-ac11-7501e2459a07 · outbound

This paper cites The role of the data quality on model efficiency: An exploratory study on centralised and federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning The role of the data quality on model efficiency: An exploratory study on centralised and federated learning,

Reference 5

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raw_fallback, observed 2026-08-07T13:02:28.058784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:18.011777Z digest=sha256:7364afe04b91e7c7e2626d20b008d09af82e5c7f52dae6a9731a86a0051509f3

Observation cb4d05b1-abcc-4457-931d-dd3c3c316d72 · outbound

This paper cites Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Enhancing Data Quality in Federated Fine-Tuning of Foundation Models

Reference 6

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source=pdf_text observed=2026-08-07T13:02:18.104783Z digest=sha256:0ea44490a10a290caa08b65fd5bc327bc3d381da76cf5ae763c1c44cdb016993

Observation f5c9ea82-eb79-4a7a-9c18-059a09df5020 · outbound

This paper cites EIFFeL: Ensuring Integrity for Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning EIFFeL: Ensuring Integrity for Federated Learning

Reference 7

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verified exact
local_arxiv, observed 2026-08-07T13:02:23.903866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:18.188610Z digest=sha256:f3e2109619cc41ad1c70f8f1553a52a605d3638d065b0adb26a996fde0a5d22c

Observation ade46f66-f0af-4bb8-97ea-344f18eafbec · outbound

This paper cites FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Reference 8

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source=pdf_text observed=2026-08-07T13:02:18.285608Z digest=sha256:4cdcab6a4ee8c2a4f846f39c3aec29f28e1eeb9ff534896a8548173d2d720f55

Observation 0dcc4916-66d7-4648-b04a-0982cb24c2f7 · outbound

This paper cites Data readiness for ai: A 360-degree survey,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness for ai: A 360-degree survey,

Reference 9

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source=pdf_text observed=2026-08-07T13:02:18.357865Z digest=sha256:e8cec3f42ea2f4e0a4fb215edf789a4f1f4c1c84afe03d6848737545a04889d1

Observation dfa72f97-ef61-44b3-b311-b4e2440f347e · outbound

This paper cites Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai,

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:02:18.456772Z digest=sha256:e9f4b093300844d30b541f26a0ed51ac8be7b328bb34a52cf12eda805bdf7ce9

Observation 5ec969a6-fad3-4106-8d8e-39bab1882857 · outbound

This paper cites Enabling end-to- end secure federated learning in biomedical research on heterogeneous computing environments with appflx,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Enabling end-to- end secure federated learning in biomedical research on heterogeneous computing environments with appflx,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:18.566247Z digest=sha256:3afb1bca7092598ea9cdcdc1206b38376d61d666c4c39b57d911a418a41f6373

Observation 23034032-7953-4eea-b210-966652fd6a78 · outbound

This paper cites Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Reference 12

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source=pdf_text observed=2026-08-07T13:02:18.645579Z digest=sha256:da7e2d18c8de9b800bc6c802cbd28a8fcf078a3cb7f22c7235772f299e52f84c

Observation 2d03c7db-d8eb-4ab4-8dbc-9364f135ceff · outbound

This paper cites Appfl: open-source software framework for privacy-preserving federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Appfl: open-source software framework for privacy-preserving federated learning,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:18.712654Z digest=sha256:6740d98c97fa95b296af3964328d268a0e0e1d2d30eae5111660601918d662b4

Observation ca257a04-2d1c-4c5e-b645-2590137e1aa0 · outbound

This paper cites Dqlearn: A toolkit for structured data quality learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Dqlearn: A toolkit for structured data quality learning,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T13:02:27.607726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:18.815532Z digest=sha256:0f9ff9f942ea981bdeb55204e58624e8f30ad3489cbf376efb6a78f330f8dfd7

Observation d92aec5c-460c-40d6-a976-0c1f5b8e7637 · outbound

This paper cites Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

Reference 15

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source=pdf_text observed=2026-08-07T13:02:18.929205Z digest=sha256:c64d4a9b40e01bef316257e4bcda61a6066db2cc4af50870f75b52c894a41b92

Observation 1cda2b3b-c29e-457c-a3ed-ee4248dc933f · outbound

This paper cites Data readiness report,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness report,

Reference 16

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raw_fallback, observed 2026-08-07T13:02:27.472074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.008115Z digest=sha256:aaafa6417248716829fc6c522681966c350ef96141f55200984fe06e626f22b9

Observation a65fd493-7a46-4b9e-90ff-c617ad912e24 · outbound

This paper cites Automating large-scale data quality verification,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Automating large-scale data quality verification,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.098417Z digest=sha256:b048dab5aa50e67a5e7c68ed6202c50fbde703fe4dc650945affa896fe8754dc

Observation 0ea65fd4-75bf-48e4-b705-530948fb6860 · outbound

This paper cites Holoclean: holistic data repairs with probabilistic inference,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Holoclean: holistic data repairs with probabilistic inference,

Reference 18

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source=pdf_text observed=2026-08-07T13:02:19.162613Z digest=sha256:44130facfab51139d00335e688ae77d1f7e24c91d080cc2b3fdf3aaebd45a680

Observation 61dce4d8-d2dc-41f8-87eb-cdf5adb7c89a · outbound

This paper cites Data quality sla rule compliance and remediation,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data quality sla rule compliance and remediation,

Reference 19

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raw_fallback, observed 2026-08-07T13:02:27.174596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.248183Z digest=sha256:1e9e713c91cf1c59e69297dc38d04d365c89a122e88debd7ed14f523872438cd

Observation a9ea94de-ff1c-4086-91f2-e0ad78b34f9c · outbound

This paper cites Tackling noisy clients in federated learning with end-to-end label correction,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Tackling noisy clients in federated learning with end-to-end label correction,

Reference 20

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source=pdf_text observed=2026-08-07T13:02:19.382682Z digest=sha256:7a629f3767cfbbf65c7255cd6a35788a38691ace0d557fe2bef39336683bd745

Observation 84a886aa-1cfc-41af-835a-fd4393dd7eb5 · outbound

This paper cites Feddqa: A novel regularization-based deep learning method for data quality assessment in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Feddqa: A novel regularization-based deep learning method for data quality assessment in federated learning,

Reference 21

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source=pdf_text observed=2026-08-07T13:02:19.454607Z digest=sha256:4cf9cb799c87c5cdf347e81e1829c84ae30ed1fb31d126136a487ba9ba58ac22

Observation 5a3a7804-263a-4fae-8b72-ca4da55379d7 · outbound

This paper cites LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation

Reference 22

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local_arxiv, observed 2026-08-07T13:02:23.108424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.554763Z digest=sha256:387fd7961af107edf486a4b7d766aa3318edef20caa8d1d42b243b7570dd6165

Observation 4939f75a-12c6-4ef4-b7e8-1de41dcf9360 · outbound

This paper cites Data Quality Control in Federated Instruction-tuning of Large Language Models.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data Quality Control in Federated Instruction-tuning of Large Language Models

Reference 23

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local_arxiv, observed 2026-08-07T13:02:22.918227Z

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source=pdf_text observed=2026-08-07T13:02:19.618930Z digest=sha256:dc609a9156c3d41b00beb954f31054cc464d2fb73ee8ee9126620f23cb411a13

Observation 3fd111a5-6604-415e-9a59-74fe0b52302d · outbound

This paper cites Industry 5.0,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Industry 5.0,

Reference 24

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.705397Z digest=sha256:d1fd41b2970ef8e099f1d603674561cbe3186266c75ed9011f34e5c82a814cfd

Observation 7b2fa00b-716d-4d51-8ca2-8f868e2dd0d0 · outbound

This paper cites Available: https://research-and-innovation.ec.europa.eu/ research-area/industrial-research-and-innovation/industry-50 en.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Available: https://research-and-innovation.ec.europa.eu/ research-area/industrial-research-and-innovation/industry-50 en

Reference 25

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raw_fallback, observed 2026-08-07T13:02:26.823062Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:19.777859Z digest=sha256:1bd49b26ccd5f15243e53645431bdcd64ca069580a4eadad844d18c53d1e4150

Observation 13fc100b-1cec-4e21-bd5d-9e597d2902ab · outbound

This paper cites On lines and planes of closest fit to systems of points in space,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning On lines and planes of closest fit to systems of points in space,

Reference 26

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source=pdf_text observed=2026-08-07T13:02:19.863662Z digest=sha256:6e44769912afc03af28f8209261efad9f58ccdd43105e80745040c119a90da6f

Observation 382ab74d-ff8d-4bdb-bd3f-9fb0e7ab22e3 · outbound

This paper cites A Survey on Class Imbalance in Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning A Survey on Class Imbalance in Federated Learning

Reference 27

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source=pdf_text observed=2026-08-07T13:02:19.953404Z digest=sha256:5f733e986e002c23be4fe7c5e30f07a0abb733694eba9bd4740f9bfff0ae4467

Observation 374cf6d5-6b4c-4d0c-8f03-08495f1160b8 · outbound

This paper cites Kohavi, “Adult,” UCI Machine Learning Repository, 1996, dOI: 10.24432/C5GP7S.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Kohavi, “Adult,” UCI Machine Learning Repository, 1996, dOI: 10.24432/C5GP7S

Reference 28

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source=pdf_text observed=2026-08-07T13:02:20.056478Z digest=sha256:28911eb5594ca9b7c8ca9ae684531223249513f4c21e62867bd811086730a313

Observation 4da047f7-03ca-4834-9e4b-ef46923c434a · outbound

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

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 29

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source=pdf_text observed=2026-08-07T13:02:20.154025Z digest=sha256:0283b989e1a8e6de2fa4ee9b2dbd0faa8bd209cfd8d73039dbb86d48dbff856b

Observation 170cfd71-c937-4d92-b774-44cb99499f8c · outbound

This paper cites Federated learning with buffered asynchronous aggregation,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Federated learning with buffered asynchronous aggregation,

Reference 30

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source=pdf_text observed=2026-08-07T13:02:20.243807Z digest=sha256:c85d51c20c70efca82632d3adba00b0e913059eb9ba7233156c7af25366001a8

Observation d3751365-1bb0-4681-aef7-338e81a6862b · outbound

This paper cites FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler

Reference 31

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local_arxiv, observed 2026-08-07T13:02:22.774577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.330769Z digest=sha256:a66c00fda62227e87cd323736dbcc131716296ff19a8e0bcedbe3eea0156530d

Observation bc9ce94a-fe72-4248-83df-dadde3cae328 · outbound

This paper cites Differential privacy,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Differential privacy,

Reference 32

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source=pdf_text observed=2026-08-07T13:02:20.416300Z digest=sha256:923d565a52cc5346c344eab26c822f05f9c486b1c10cc179478b827992bf8fb4

Observation afdead26-3946-4b06-8d52-791ab0b1232a · outbound

This paper cites Data readiness assurance framework in appfl,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Data readiness assurance framework in appfl,

Reference 33

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raw_fallback, observed 2026-08-07T13:02:26.669785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.580740Z digest=sha256:558bfef4ad91ce8d4af884ecfebc422761a6a58294ac4d5d1f192af193d1324a

Observation b2a80bd5-fe7d-42af-8866-5b60a0c1304f · outbound

This paper cites An experimental study of class imbalance in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning An experimental study of class imbalance in federated learning,

Reference 34

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raw_fallback, observed 2026-08-07T13:02:26.472105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.679208Z digest=sha256:dc2af88980068ff14075e978b2bb72c7d7c65ad78419c11228746ea4d758302a

Observation b039441e-dc84-42f9-9092-46eb6e49ddc5 · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Smote: Synthetic minority over-sampling technique,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:26.348564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.745459Z digest=sha256:685af10f8e0e9e55bf3bb4aa1ae41db89b318f760bfd07f174f873126cfdb28d

Observation c9baa99e-8a82-4efd-9b2d-a750d92bab5d · outbound

This paper cites Fairness through awareness,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fairness through awareness,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:26.190244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.814503Z digest=sha256:bf87a31523f0d438420210fd76240c37607c66ec1a9efd63b403f435ab5b2801

Observation b5129602-c330-43a9-8a57-1c2505fc321f · outbound

This paper cites Stratified sam- pling meets machine learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Stratified sam- pling meets machine learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:26.063316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:20.979947Z digest=sha256:f9978b2dcd789c300a3b28f71c137692983d96ce64d6966e6c44b9c4a57a8874

Observation c8976594-f491-455c-a42d-33620ffce062 · outbound

This paper cites Exploratory data analysis,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Exploratory data analysis,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.921662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.054473Z digest=sha256:03e14bb3ad7f5f0aabe8747437a6fd289514d6d2aee30beabe33eff8f42e5640

Observation bac20301-7672-4d58-ba99-209118b9c37e · outbound

This paper cites Protecting privacy when disclosing in- formation: k-anonymity and its enforcement through generalization and suppression,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Protecting privacy when disclosing in- formation: k-anonymity and its enforcement through generalization and suppression,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.758141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.147830Z digest=sha256:1ce53cfcfef5c2ac2c07d95126dff1dc39ee1aa41984ed120b7d145f85c4ebcf

Observation f0356ddd-2766-4bf7-a775-9e908f15fae9 · outbound

This paper cites Mnist handwritten digit database,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Mnist handwritten digit database,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.579848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.254280Z digest=sha256:acec1d7401dd4e08a5ff8ea82b571b67f532b988591d1ee54d8d2aa39aa2ef1b

Observation 0772529a-9b85-40e2-9a76-7baa64f072d1 · outbound

This paper cites Learning multiple layers of features from tiny images,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Learning multiple layers of features from tiny images,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:21.349870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:02:21.349870Z digest=sha256:b4cae163e7dac12841c692acb2177f58abf66a1c3b63c1dd88c2e1ba721288e8

Observation 1b4e3e1c-4f63-4ad8-87c4-145b3e975d9d · outbound

This paper cites FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:02:22.591631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.463250Z digest=sha256:8491c18f49795c912d2a463e0a6c76060f30c3d44fd851ea5cee20077e4a6b60

Observation 3c009d52-056f-451e-86d8-9fadaa39d0bf · outbound

This paper cites Flagship dataset of type 2 diabetes from the ai-readi project (1.0.0),.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Flagship dataset of type 2 diabetes from the ai-readi project (1.0.0),

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.368465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.546445Z digest=sha256:6eb550b4dda6e9ea44f2254516398b7fe0818109c3f04a1c0d5840a1945f9a45

Observation aa97ebb9-1026-4391-886f-c7fdb77797cb · outbound

This paper cites Delta: Balancing gpu performance with advanced system interfaces,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Delta: Balancing gpu performance with advanced system interfaces,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.168065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.647152Z digest=sha256:78168b68c2d32833cf542aab8cf8b777c23571fedfa172fb245df1f9068a2a14

Observation 4d96bb49-eb0a-4157-9e34-5ab5cbfab554 · outbound

This paper cites FLamby IXI Dataset,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning FLamby IXI Dataset,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.917435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.758070Z digest=sha256:c717bee37f8f5852c822e06d30e93e070121c83cee82700ae3fddec6244d8fff

Observation 2de9b7be-b956-4912-b512-d2851686bac7 · outbound

This paper cites An Experimental Study of Class Imbalance in Federated Learning.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning An Experimental Study of Class Imbalance in Federated Learning

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:02:22.404003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.851075Z digest=sha256:36a7777142333484b1d74226e934331b5199e7e974e3542d3dfe11041b2e8497

Observation e84cc434-c5fb-450f-84b7-0ac786131767 · outbound

This paper cites an unresolved cited work.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:24.736573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:21.967350Z digest=sha256:86d064be13d839bf08f9bfe425d028a8c4ea3ddfad434834db9ca2de2bd69c2f

Observation 2b372fe3-8c1f-4d4e-904c-6e39c692a884 · outbound

This paper cites Fairness and accuracy in federated learning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fairness and accuracy in federated learning,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.516571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:22.068606Z digest=sha256:362285c8d5e990076c4b2cf87dde9bc1d214c87ae9fca8cf6adcf620a69ab684

Observation 5b062b41-5205-4eaa-b3f9-cc0b75f103d0 · outbound

This paper cites Partially-federated learning: A new approach to achieving privacy and effectiveness,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Partially-federated learning: A new approach to achieving privacy and effectiveness,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.279339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:22.175514Z digest=sha256:fec11f8512501c8b33955f74d9705c6db4c23b2e78591205db9babb89ea3afd0

Observation 6c0681a6-ede3-405e-b6b9-4660eb324c56 · outbound

This paper cites Fedmef: Towards memory-efficient federated dynamic pruning,.

CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning Fedmef: Towards memory-efficient federated dynamic pruning,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.077552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:02:22.244838Z digest=sha256:f7f04e6350788bcfe6f77e9fb4b5427ada62c31b28c8ff54bbea2307715df32d

Pith citing papers

No inbound Pith citation observations are available.