Paper Citation Record · LEDGER

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2502.03773.

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

pith.paper-citation-record.v1
2502.03773 v4

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:52:20.218326Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T00:50:06.282690Z

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

62 of 62 outbound references displayed

verified exact1
verified fuzzy40
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3f155ab3-bb72-43aa-be7d-4c1fb881acec · outbound

This paper cites write newline.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.012604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d527ebf6-3368-42b4-9417-9958bd7a1a44 · outbound

This paper cites https://github.com/lyronctk/zator/tree/main, 2023.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs https://github.com/lyronctk/zator/tree/main, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.521860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b742b4f-f326-4b64-a236-70e8dab889f9 · outbound

This paper cites Zero-knowledge proofs of training for deep neural networks.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zero-knowledge proofs of training for deep neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.512011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5c03de50-98ad-4be3-9ffb-b23a85178459 · outbound

This paper cites Fairwashing: the risk of rationalization.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Fairwashing: the risk of rationalization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.501986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3591768c-491e-4050-9a17-0a49db595935 · outbound

This paper cites Keeping up with the language models: Robustness-bias interplay in nli data and models.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Keeping up with the language models: Robustness-bias interplay in nli data and models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.491476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0cc9acfd-a8da-47b8-ac2d-a73bc5cfba3f · outbound

This paper cites and Kohavi, R.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs and Kohavi, R

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.032534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 710d8611-a0a7-42c3-b279-69ad9c90962d · outbound

This paper cites and von Luxburg, U.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs and von Luxburg, U

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.480813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58c46352-92a6-4988-8a1a-eab2ae6f6dcb · outbound

This paper cites Coin flipping by telephone a protocol for solving impossible problems.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Coin flipping by telephone a protocol for solving impossible problems

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.469760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9dbc2cfc-85dd-4648-bc6c-30a12941d839 · outbound

This paper cites Post-hoc explanations fail to achieve their purpose in adversarial contexts.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Post-hoc explanations fail to achieve their purpose in adversarial contexts

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.458645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72289b26-9a23-45b3-82f7-5f4e78f38131 · outbound

This paper cites Zkml: An optimizing system for ml inference in zero-knowledge proofs.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zkml: An optimizing system for ml inference in zero-knowledge proofs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.448252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0932788f-1d36-4bdc-85d8-c3d149d6a8fd · outbound

This paper cites Framework for evaluating faithfulness of local explanations.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Framework for evaluating faithfulness of local explanations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.437946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cc57a6d-3f96-4931-9190-dcb47f41d023 · outbound

This paper cites Validating the integrity of convolutional neural network predictions based on zero-knowledge proof.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Validating the integrity of convolutional neural network predictions based on zero-knowledge proof

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.427935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d44fef7-ed49-4e69-ab9b-1a0c23388e02 · outbound

This paper cites Zen: Efficient zero-knowledge proofs for neural networks.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zen: Efficient zero-knowledge proofs for neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.418368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 11522db5-0e45-4e44-af60-caff47a36aa6 · outbound

This paper cites Experimenting with zero-knowledge proofs of training.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Experimenting with zero-knowledge proofs of training

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.407829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7bc52c8e-423f-497e-9083-6f404a6d9c7d · outbound

This paper cites and Luxburg, U.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs and Luxburg, U

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.397932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1724bb2-8bbe-4da8-87ee-37bbf8a01775 · outbound

This paper cites Looking Deeper into Tabular LIME.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Looking Deeper into Tabular LIME

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.063213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2e977c-1990-4e35-91dc-a4fc63b99509 · outbound

This paper cites Proofs that yield nothing but their validity or all languages in np have zero-knowledge proof systems.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Proofs that yield nothing but their validity or all languages in np have zero-knowledge proof systems

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-09T00:52:20.831369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3893e314-20a9-4af2-a98a-64083c104132 · outbound

This paper cites The knowledge complexity of interactive proof-systems.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs The knowledge complexity of interactive proof-systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.069611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36584ebe-7492-4ba4-aca0-f71ef6eedc90 · outbound

This paper cites Poseidon: A new hash function for Zero-Knowledge proof systems.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Poseidon: A new hash function for Zero-Knowledge proof systems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.388034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da2dd6f4-b96d-431f-ac9e-52a6579833c2 · outbound

This paper cites Statlog (German Credit Data).

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Statlog (German Credit Data)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.076511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7620afc8-ebba-45d5-aa41-c86a3a731523 · outbound

This paper cites zkmlaas: a verifiable scheme for machine learning as a service.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs zkmlaas: a verifiable scheme for machine learning as a service

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.377219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c4d7d5c-f1f4-4ea7-b0b0-d15288fac970 · outbound

This paper cites an unresolved cited work.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:52:21.367126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0bd90c2-e639-4e9a-ac2e-8cc752b32cc8 · outbound

This paper cites Scaling up trustless dnn inference with zero-knowledge proofs, 2022.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Scaling up trustless dnn inference with zero-knowledge proofs, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.356777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7b72b01-4a8c-4c64-a5e6-1bb0ab00f53d · outbound

This paper cites A survey of algorithmic recourse: Contrastive explanations and consequential recommendations.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs A survey of algorithmic recourse: Contrastive explanations and consequential recommendations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.090085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ffc8d10-d760-42ed-ba03-1edd97b9b478 · outbound

This paper cites a stner, L., Langer, M., Lazar, V., Schom \.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs a stner, L., Langer, M., Lazar, V., Schom \

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.347560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae7c4dfc-de15-4b5f-8f60-c0061529ee3a · outbound

This paper cites M., and Goldberg, I.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs M., and Goldberg, I

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.337167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3dded532-f1ec-4ccd-b49a-c62617c7bfaa · outbound

This paper cites An interior-point method for large-scale _1 -regularized least squares.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs An interior-point method for large-scale _1 -regularized least squares

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.100469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525e3daa-4645-4516-9f87-0be927044f47 · outbound

This paper cites ezkl: Efficient zero-knowledge machine learning.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs ezkl: Efficient zero-knowledge machine learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.326635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 616069e3-c0f7-499e-9d00-addaafbb1412 · outbound

This paper cites What do we want from explainable artificial intelligence (xai)?--a stakeholder perspective on xai and a conceptual model guiding interdisciplinary xai research.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs What do we want from explainable artificial intelligence (xai)?--a stakeholder perspective on xai and a conceptual model guiding interdisciplinary xai research

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.315446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3244da78-e80f-4f57-8ed8-6ef107362e8a · outbound

This paper cites Comparison-based inverse classification for interpretability in machine learning.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Comparison-based inverse classification for interpretability in machine learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.304910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8ceb395d-3f40-493b-b7c9-a232d1c806e9 · outbound

This paper cites Defining Locality for Surrogates in Post-hoc Interpretablity.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Defining Locality for Surrogates in Post-hoc Interpretablity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.113805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff700cad-fa94-4ff3-a94d-f0680efab4d0 · outbound

This paper cites Explainable ai as evidence of fair decisions.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Explainable ai as evidence of fair decisions

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.293789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e9ce108-0781-40e8-a64c-3bfba105a4d0 · outbound

This paper cites vcnn: Verifiable convolutional neural network.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs vcnn: Verifiable convolutional neural network

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.283260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3883be16-0f24-473d-ab6f-251a287379cf · outbound

This paper cites Human-Centered Explainable AI (XAI): From Algorithms to User Experiences.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.124504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff262409-9af3-412d-a3c4-0565debfe7ea · outbound

This paper cites zkcnn: Zero knowledge proofs for convolutional neural network predictions and accuracy.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs zkcnn: Zero knowledge proofs for convolutional neural network predictions and accuracy

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.271991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63081420-cd61-4743-9799-e9a0e460479c · outbound

This paper cites RoFL: Robustness of Secure Federated Learning.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs RoFL: Robustness of Secure Federated Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.132306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8704df98-4bd8-4146-a404-e5ef4266d2f0 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Pytorch: An imperative style, high-performance deep learning library

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.135644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfea6e5-8761-4732-8e99-e039b8a85cb3 · outbound

This paper cites Scikit-learn: Machine learning in python.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Scikit-learn: Machine learning in python

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.138944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7a1daa-e1d4-415f-b41c-6515840bd08e · outbound

This paper cites why should i trust you?.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs why should i trust you?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.142563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952f23f3-63ef-4fb8-ae09-be9f720bb0fb · outbound

This paper cites Fairness, integrity, and privacy in a scalable blockchain-based federated learning system.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Fairness, integrity, and privacy in a scalable blockchain-based federated learning system

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.241660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0b3e47a-37a3-429d-9e45-b157e5beeab5 · outbound

This paper cites Washing the unwashable: On the (im) possibility of fairwashing detection.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Washing the unwashable: On the (im) possibility of fairwashing detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.230959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 215f7560-fbf3-451a-934b-e8df80c18ba7 · outbound

This paper cites S., Wyllie, S.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs S., Wyllie, S

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.220180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9aa2bc35-74c4-48cc-a5d2-f722b89b3ec2 · outbound

This paper cites Zero knowledge proofs towards verifiable decentralized ai pipelines.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zero knowledge proofs towards verifiable decentralized ai pipelines

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.209759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33f5deed-6d8d-49ba-bd0e-94fc27b0697e · outbound

This paper cites Fooling lime and shap: Adversarial attacks on post hoc explanation methods.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Fooling lime and shap: Adversarial attacks on post hoc explanation methods

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.159829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 279ee708-1f45-42fe-bcea-3c3f539ce7b7 · outbound

This paper cites Counterfactual explanations can be manipulated.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Counterfactual explanations can be manipulated

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.192064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8291b08-e34d-4cc8-ba26-e5670a3e3e61 · outbound

This paper cites an unresolved cited work.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:52:21.153303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b6dff0d-379e-4e97-9831-fd49ffa23c26 · outbound

This paper cites and Zhang, H.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs and Zhang, H

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.112052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa58cfe2-31ad-4fcc-a9cc-4f9542594307 · outbound

This paper cites zkllm: Zero knowledge proofs for large language models.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs zkllm: Zero knowledge proofs for large language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.091011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8101ba8c-713f-4d72-a6b1-f0531558ebe2 · outbound

This paper cites Verifiable fairness: Privacy-preserving computation of fairness for machine learning systems.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Verifiable fairness: Privacy-preserving computation of fairness for machine learning systems

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.078930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 784188d8-a9ab-46a6-962a-55f1f98037a4 · outbound

This paper cites an unresolved cited work.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:52:21.053034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e01c644c-852b-4790-a36d-ae9cbc6d557e · outbound

This paper cites Counterfactual explanations without opening the black box: Automated decisions and the gdpr.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Counterfactual explanations without opening the black box: Automated decisions and the gdpr

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.032758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b2ad00b-bc6f-43a5-bd7b-c17e5d075b69 · outbound

This paper cites Trustless audits without revealing data or models.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Trustless audits without revealing data or models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:21.012791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1cc4f996-ecae-461c-b6da-abaa399ce28e · outbound

This paper cites Pvcnn: Privacy-preserving and verifiable convolutional neural network testing.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Pvcnn: Privacy-preserving and verifiable convolutional neural network testing

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.187355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb38ee8c-ecd9-4af3-b79a-65248c7914bb · outbound

This paper cites Right to explanation, 2025.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Right to explanation, 2025

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.996580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87766fe2-0b63-4848-a252-04804da6508b · outbound

This paper cites R., Boneh, D., and Chaudhuri, K.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs R., Boneh, D., and Chaudhuri, K

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.970312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bda530d-cfa3-4ef0-a3c6-5396c3be8cb6 · outbound

This paper cites Xaudit: A learning-theoretic look at auditing with explanations.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Xaudit: A learning-theoretic look at auditing with explanations

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.942816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be9d3ec0-7791-4fb5-a45e-e1f64aef804f · outbound

This paper cites Influence-based Attributions can be Manipulated.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Influence-based Attributions can be Manipulated

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-09T00:52:20.405551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60762f06-4171-4045-9b24-7619ede1c223 · outbound

This paper cites and Zhang, C.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs and Zhang, C

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.927650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bab36cea-f53e-4a6d-b5ff-f5e88589eea9 · outbound

This paper cites default of credit card clients.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs default of credit card clients

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.207755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291f305f-6987-4943-bd39-7fc40d32652b · outbound

This paper cites Halo2: A Plonkish zk-SNARK implemented in Rust , 2023.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Halo2: A Plonkish zk-SNARK implemented in Rust , 2023

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.914643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1066ce8e-11f4-496b-a359-d68aa17cbf54 · outbound

This paper cites Zero knowledge proofs for decision tree predictions and accuracy.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zero knowledge proofs for decision tree predictions and accuracy

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T00:52:20.214776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e677e4-08b9-467f-b278-d52223db4d8b · outbound

This paper cites Zero knowledge proofs for decision tree predictions and accuracy.

ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Zero knowledge proofs for decision tree predictions and accuracy

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:52:20.878549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation fee35557-0e1c-462f-84c9-e3f25ce90882 · inbound

QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity cites this paper.

QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity ExpProof : Operationalizing Explanations for Confidential Models with ZKPs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-30T00:54:06.210047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.