Paper Citation Record · LEDGER

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.15112.

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

pith.paper-citation-record.v1
2506.15112 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:10.282698Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

40 of 40 outbound references displayed

verified exact1
verified fuzzy26
unresolved13
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d6fba255-dd04-41dd-a8b1-97c062d4ad1a · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.802459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03f8abd2-3d09-4c5b-a6d8-96f94aa7e6f3 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Federated Learning for Mobile Keyboard Prediction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.136316Z

Source-reported events for the cited work

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Observation 82fbb0a0-2a32-4016-bbaf-f99aba02e3d0 · outbound

This paper cites Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.789735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 12b9f5c2-6a54-4fa5-965d-e9722a0f6ba0 · outbound

This paper cites Membership inference attacks against machine learning models,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Membership inference attacks against machine learning models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.778101Z

Source-reported events for the cited work

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Observation de1e77c7-b6ca-4dfb-95dd-8e80d34d85ec · outbound

This paper cites Dataset security for machine learn- ing: Data poisoning, backdoor attacks, and defenses,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Dataset security for machine learn- ing: Data poisoning, backdoor attacks, and defenses,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.766410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06d31cbd-ba7d-4424-93da-92a8ce025d07 · outbound

This paper cites Machine unlearning: Solutions and challenges,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Machine unlearning: Solutions and challenges,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.152143Z

Source-reported events for the cited work

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Observation 06685aaf-2092-4cca-9e3b-ebf5b3308df0 · outbound

This paper cites Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.156227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11859623-8f85-4664-802b-aa4101016790 · outbound

This paper cites How to share a secret,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning How to share a secret,

Reference 8

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Source-reported events for the cited work

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Observation a64e7532-0300-45a1-a398-2021142ec26d · outbound

This paper cites A multi-batch l-bfgs method for machine learning,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning A multi-batch l-bfgs method for machine learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.741737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a60ac487-f420-4749-af54-3f9817dc2607 · outbound

This paper cites Machine unlearning,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Machine unlearning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.729931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d48fae70-3957-43ac-8705-94b864b1b66a · outbound

This paper cites The effect of the gdpr on privacy policies: Recent progress and future promise,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning The effect of the gdpr on privacy policies: Recent progress and future promise,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.170812Z

Source-reported events for the cited work

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Observation d922b246-dc5a-45ce-9ba4-8c18b2ff8569 · outbound

This paper cites On the necessity of auditable algorithmic definitions for machine unlearning,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning On the necessity of auditable algorithmic definitions for machine unlearning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.712448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3a155cc-a936-43dd-9745-e80846a0469c · outbound

This paper cites When machine unlearning jeopardizes privacy,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning When machine unlearning jeopardizes privacy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.700901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31e1aa7d-530b-4cd5-b26f-6d93348b6464 · outbound

This paper cites Certified Data Removal from Machine Learning Models.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Certified Data Removal from Machine Learning Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.181072Z

Source-reported events for the cited work

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Observation 6de2752b-c010-4623-8e48-032dc42475c3 · outbound

This paper cites Deltagrad: Rapid retraining of machine learning models,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Deltagrad: Rapid retraining of machine learning models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.689530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecd00106-188e-4ba8-9cdf-6cb5d6d26121 · outbound

This paper cites Eternal sunshine of the spotless net: Selective forgetting in deep networks,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Eternal sunshine of the spotless net: Selective forgetting in deep networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.677453Z

Source-reported events for the cited work

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Observation bb6d1dcc-d724-4438-bc6f-257c39c87995 · outbound

This paper cites Asynchronous federated unlearning,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Asynchronous federated unlearning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.665547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e590ac7-2395-4e54-a135-0d69943f5202 · outbound

This paper cites The right to be forgotten in federated learning: An efficient realization with rapid retraining,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning The right to be forgotten in federated learning: An efficient realization with rapid retraining,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.654599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation beb5bf83-7c2f-4d78-bedc-308eb42784ce · outbound

This paper cites New insights and perspectives on the natural gradient method,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning New insights and perspectives on the natural gradient method,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.643782Z

Source-reported events for the cited work

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Observation 44bc28fc-7ef6-47f3-8ed4-8b4be13a03d9 · outbound

This paper cites Federated Unlearning with Knowledge Distillation.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Federated Unlearning with Knowledge Distillation

Reference 20

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Source-reported events for the cited work

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Observation 37671ceb-bda8-4afd-8bda-b2b8ac21d51b · outbound

This paper cites Federaser: Enabling efficient client-level data removal from federated learning models,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Federaser: Enabling efficient client-level data removal from federated learning models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.632985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3b35f8b-6ff9-40aa-8622-1cbe9d5a1bfc · outbound

This paper cites Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:48:10.404951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5880c487-2dcf-489c-a9d9-5d7184060656 · outbound

This paper cites Confident federated learning to tackle label flipped data poisoning attacks,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Confident federated learning to tackle label flipped data poisoning attacks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.622152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0df00500-3e6a-4c33-bd02-3672bdf8d8b5 · outbound

This paper cites Poison Attack and Defense on Deep Source Code Processing Models.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Poison Attack and Defense on Deep Source Code Processing Models

Reference 24

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Source-reported events for the cited work

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Observation 81549a69-1eec-43d8-b00c-56f38174a1b8 · outbound

This paper cites Poisoning attack in federated learning using generative adversarial nets,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Poisoning attack in federated learning using generative adversarial nets,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.611394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a21e8e43-953f-478c-ada3-84395648670b · outbound

This paper cites Nightshade: Prompt-specific poisoning attacks on text-to-image gener- ative models,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Nightshade: Prompt-specific poisoning attacks on text-to-image gener- ative models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.600538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4de5544-ae69-435e-b4ca-3dc1f701c510 · outbound

This paper cites Spectre: Defending against backdoor attacks using robust statistics,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Spectre: Defending against backdoor attacks using robust statistics,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.589578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e542ec52-7ee5-46eb-a003-89442cae9445 · outbound

This paper cites Demon in the variant: Statistical analysis of dnns for robust backdoor contamination detection,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Demon in the variant: Statistical analysis of dnns for robust backdoor contamination detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.579060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ac5fc35b-cc11-43fe-b518-f12457250ad8 · outbound

This paper cites Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Reference 29

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Source-reported events for the cited work

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Observation 26b5ad4a-3e89-4d26-8096-0d5590c1dcc9 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Fine-pruning: Defending against backdooring attacks on deep neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.568081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76568bc8-fa5a-4ef4-9e3f-14383e05b9c5 · outbound

This paper cites Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.247142Z

Source-reported events for the cited work

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Observation 883bc229-3d22-49a4-a05e-943a92e1ec22 · outbound

This paper cites Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.556482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 201fb78b-2c80-48a8-bee6-d2febdb02f43 · outbound

This paper cites Local model poisoning attacks to byzantine-robust federated learning,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Local model poisoning attacks to byzantine-robust federated learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.542130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 718564a0-7c4b-4a0c-9b9e-5fb0ffbb84c2 · outbound

This paper cites Byzantine resistant secure blockchained federated learning at the edge,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Byzantine resistant secure blockchained federated learning at the edge,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.528703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56aa3952-ca89-4d9a-95bb-82a517b22db7 · outbound

This paper cites Fedrecover: Recovering from poisoning attacks in federated learning using historical information,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Fedrecover: Recovering from poisoning attacks in federated learning using historical information,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.510470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 988b894c-c0a3-4882-b0e2-b31d50a2f623 · outbound

This paper cites Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.267255Z

Source-reported events for the cited work

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Observation 0a2aed45-de94-40b6-95ac-c3a9948f86c2 · outbound

This paper cites BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.271365Z

Source-reported events for the cited work

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Observation 2311fe80-476c-46b4-a1f9-4db39a744025 · outbound

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

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Communication-efficient learning of deep networks from decentralized data,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.496186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c223e349-6202-4d3b-b59f-2921bc0c1083 · outbound

This paper cites The solution of nonlinear finite element equations,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning The solution of nonlinear finite element equations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:48:10.482245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc54cac4-45f2-4056-bd81-60c66c5b217e · outbound

This paper cites Fedrecov- ery: Differentially private machine unlearning for federated learning frameworks,.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Fedrecov- ery: Differentially private machine unlearning for federated learning frameworks,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:48:10.282698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.