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Paper Citation Record · LEDGER

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.21839.

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

pith.paper-citation-record.v1
2607.21839 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:40:24.748213Z

measured 64 of 64 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

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Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved55
  • parse uncertain1
  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 7ad5f3b7-4e57-4bc6-b7a6-782e07ca0951 · outbound

This paper cites Deep learning with differential privacy.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Deep learning with differential privacy

Reference 1

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source=pdf_text observed=2026-08-01T06:40:18.494165Z digest=sha256:f7cc095d8ab77e65fa30c6357c47a72daf3b883785f5a57b4dae24cc0447c36f

Observation 394e2070-fd5f-48f3-9cb4-f8ae7bd2da54 · outbound

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

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Zero-knowledge proofs of training for deep neural networks

Reference 2

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Observation 761ba115-e13d-46f8-9165-efb44e5bb798 · outbound

This paper cites Machine bias.ProPublica, May 2016.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Machine bias.ProPublica, May 2016

Reference 3

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Observation c0be8e93-756f-4765-9dba-44d2cd99b232 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-01T06:40:18.719844Z digest=sha256:cb3c3c4fcbc47f81a1f77a5fb1c29efd8976fd8cab0696dec1b5ca22cc0f79c7

Observation e7a88710-d0db-4893-bb70-d17281ff6ec9 · outbound

This paper cites Velox: Scalable fair asynchronous MPC from lightweight cryp- tography.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Velox: Scalable fair asynchronous MPC from lightweight cryp- tography

Reference 5

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source=pdf_text observed=2026-08-01T06:40:18.786225Z digest=sha256:388251f662c8f643f00bb72ef22b6fcc47033eaa73062e487c3a7a051c0aaa22

Observation ad52c609-223b-4381-89e1-90a1e757c1f3 · outbound

This paper cites Joseph, and J.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Joseph, and J

Reference 6

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source=pdf_text observed=2026-08-01T06:40:18.835366Z digest=sha256:1cfa69389ae793bdba0732d969943775296996dac64a656f62fb96a0b0ea5b0a

Observation a6b23ee5-b456-45a9-882c-5fa3a2a8fbf4 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-01T06:40:18.930012Z digest=sha256:e806534203c8ca058e8f6c088c11ca1b73da129448d73781d808426ac26737fe

Observation 5f130b3f-c7ea-43c3-8ba5-dc7a77e46ce8 · outbound

This paper cites Completeness theorems for non-cryptographic fault- tolerant distributed computation (extended abstract).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Completeness theorems for non-cryptographic fault- tolerant distributed computation (extended abstract)

Reference 8

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source=pdf_text observed=2026-08-01T06:40:19.002791Z digest=sha256:fc59e5045939fb896173e190a8a9da389e6b6872ef1f64969282a567985bde36

Observation 943923dd-5a80-4c1f-9bf8-5f030abc2baf · outbound

This paper cites P2NIA: Privacy-Preserving Non-Iterative Auditing.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification P2NIA: Privacy-Preserving Non-Iterative Auditing

Reference 9

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source=pdf_text observed=2026-08-01T06:40:19.085439Z digest=sha256:487bc8d4cc0548d003107c3e9a08e9618105998c5b5e66074258138ee0f8bcea

Observation 4fec5aa0-53cb-4d67-ad77-7074977394eb · outbound

This paper cites Multilinear schwartz- zippel mod N and lattice-based succinct arguments.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Multilinear schwartz- zippel mod N and lattice-based succinct arguments

Reference 10

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source=pdf_text observed=2026-08-01T06:40:19.174548Z digest=sha256:3c18fb075478a2a1ed35d19f4622bd402176aab9ad1c67a30da4892b1c99c26f

Observation 5cf86f6e-9468-444d-be5f-6afd092870d4 · outbound

This paper cites Building classifiers with independency constraints.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Building classifiers with independency constraints

Reference 11

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source=pdf_text observed=2026-08-01T06:40:19.229734Z digest=sha256:26615988cdf4fee0afe1f3595c57610a0eb238ac291b8173e984b8a437dbad5d

Observation dd9e0c68-a397-4ffd-b098-62ec6582b411 · outbound

This paper cites {HOLMES}: Efficient distribution testing for secure collaborative learning.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification {HOLMES}: Efficient distribution testing for secure collaborative learning

Reference 12

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source=pdf_text observed=2026-08-01T06:40:19.350406Z digest=sha256:e8dc51e4ae42af152031e39ebe22b960487dfdc3bd72d3d5d5178b50317f9f86

Observation 5ef47096-a000-4159-af46-62b7f41d6ebb · outbound

This paper cites Multiparty unconditionally secure protocols (abstract).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Multiparty unconditionally secure protocols (abstract)

Reference 13

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source=pdf_text observed=2026-08-01T06:40:19.440684Z digest=sha256:ce7204b8486e15b00e337a71cc61d9e7acaaa2ec3ccf2af8e26728f35b1ff1fa

Observation 1c7612dd-3fab-4f95-9dfd-5d3b6384c6d9 · outbound

This paper cites Xgboost: A scal- able tree boosting system.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Xgboost: A scal- able tree boosting system

Reference 14

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source=pdf_text observed=2026-08-01T06:40:19.521045Z digest=sha256:e65efac8a3a1ca7c66d6cf711a5340ae3c90cc87fa7dbc63cfaacf1fd8ee2968

Observation 49098c62-5097-4ef1-8bb5-d0eda5eabf42 · outbound

This paper cites Scalable and un- conditionally secure multiparty computation.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Scalable and un- conditionally secure multiparty computation

Reference 16

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source=pdf_text observed=2026-08-01T06:40:19.690665Z digest=sha256:b23c94f9f4b9b2bd33825ffa1a86fd20fc4a8b0a7a15fa85b44279d63abf371b

Observation 212f86cd-fa15-4601-a128-67ca02403501 · outbound

This paper cites Retiring adult: New datasets for fair machine learning.Advances in Neural Information Processing Systems, 34, 2021.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Retiring adult: New datasets for fair machine learning.Advances in Neural Information Processing Systems, 34, 2021

Reference 17

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source=pdf_text observed=2026-08-01T06:40:19.775962Z digest=sha256:6da35b71fdaa17288f285fd1666392bdb0c8c74850230f02c230efa87e3774fc

Observation 36b57faa-a76a-4ffa-bf1d-330281d7b91f · outbound

This paper cites Attesting distributional properties of training data for machine learning.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Attesting distributional properties of training data for machine learning

Reference 18

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source=pdf_text observed=2026-08-01T06:40:19.827113Z digest=sha256:aa01bcb2189bdd9132280b6412041e2a8e263000543c82a82ac199ae9b0abcb5

Observation b9b98152-48ee-424b-94f9-63cb58d6ef94 · outbound

This paper cites The algorithmic foundations of differential privacy.Foundations and trends® in theoretical computer science, 9(3–4):211– 407, 2014.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The algorithmic foundations of differential privacy.Foundations and trends® in theoretical computer science, 9(3–4):211– 407, 2014

Reference 19

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source=pdf_text observed=2026-08-01T06:40:19.918961Z digest=sha256:9e6f3aa72b0becd177e34e87cfe056ead3a7d22d4357c55afa1c37715abb0d6d

Observation 55f08ec2-15ea-4f42-82fb-3db1fd15475c · outbound

This paper cites Towards scalable YOSO MPC via packed secret-sharing.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Towards scalable YOSO MPC via packed secret-sharing

Reference 20

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source=pdf_text observed=2026-08-01T06:40:20.017917Z digest=sha256:26018e9d71972cb306fa01b8dd5a92b963c53c41f5550b6e011c785e2e258fd3

Observation 294b766a-0325-4aaf-9103-b776249605dc · outbound

This paper cites Oath: Efficient and flexible zero-knowledge proofs of end-to-end ml fairness.arXiv preprint arXiv:2410.02777, 2024.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Oath: Efficient and flexible zero-knowledge proofs of end-to-end ml fairness.arXiv preprint arXiv:2410.02777, 2024

Reference 21

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source=pdf_text observed=2026-08-01T06:40:20.118575Z digest=sha256:eaa6750300b014cd3dacf39f36a7fe0d18afe8988b257536c6b421f983fdb37e

Observation 57a95b2b-bcf2-4646-a81d-45860a3d8009 · outbound

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

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Experimenting with zero- knowledge proofs of training

Reference 22

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source=pdf_text observed=2026-08-01T06:40:20.200311Z digest=sha256:630ecf24d8b60ba975c4e743dca60547f69534186d44696a9b6e524c7e7a4c6d

Observation b8ab1e22-bedb-4b91-a7ad-97aeafca798d · outbound

This paper cites The exact round complex- ity of secure computation.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The exact round complex- ity of secure computation

Reference 23

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source=pdf_text observed=2026-08-01T06:40:20.282082Z digest=sha256:5376f625ab3faa27219c7575a01cc2c999bfce6079d5fbbe7c8ed47e20fc6f2e

Observation 244841bb-df87-4090-b5be-f567ccf3c961 · outbound

This paper cites YOSO: you only speak once - secure MPC with stateless ephemeral roles.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification YOSO: you only speak once - secure MPC with stateless ephemeral roles

Reference 24

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source=pdf_text observed=2026-08-01T06:40:20.405159Z digest=sha256:5723a7677f0590ed63090f9c6ad52cb10a22d693ff545a7bff362de64ea51fcc

Observation 3441140a-63fb-4378-a082-ae08d577ddb8 · outbound

This paper cites How to play any mental game or A completeness theorem for protocols with honest majority.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification How to play any mental game or A completeness theorem for protocols with honest majority

Reference 25

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source=pdf_text observed=2026-08-01T06:40:20.515633Z digest=sha256:cc8332d746f90bf84b01e77a658c9efb92cfb512b41a568e5498ea46db46ef1d

Observation 5e6ac5e6-541f-4116-9ad5-ceee53113d44 · outbound

This paper cites The knowledge complexity of interactive proof- systems (extended abstract).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The knowledge complexity of interactive proof- systems (extended abstract)

Reference 26

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source=pdf_text observed=2026-08-01T06:40:20.651454Z digest=sha256:e733446608f093025512b7d9530c3dcdde876dfdf8bbd95bb8e4f6546a44e6ca

Observation bd730af6-68fa-45c9-af86-122cd930d2eb · outbound

This paper cites Blockchains enable non-interactive MPC.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Blockchains enable non-interactive MPC

Reference 27

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source=pdf_text observed=2026-08-01T06:40:20.715329Z digest=sha256:eb91584a2142749e07905528c9911facc542a6ea36691ce73372fa3cfaf2db91

Observation 85c58716-0adb-4518-8cf6-39369f762335 · outbound

This paper cites How one of apple’s key privacy safeguards falls short.Wired.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification How one of apple’s key privacy safeguards falls short.Wired

Reference 28

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source=pdf_text observed=2026-08-01T06:40:20.762658Z digest=sha256:6f11fb72b2a57c9ec84ab444adc3249b36e77f7bbb2ea2483fb24346e6be4ac6

Observation 2b46253d-a37e-477f-869c-2866dd2efad0 · outbound

This paper cites The emerging science of machine learn- ing benchmarks.Manuscript.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The emerging science of machine learn- ing benchmarks.Manuscript

Reference 29

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source=pdf_text observed=2026-08-01T06:40:20.821034Z digest=sha256:dd966f995c95963fce62874905be854a5b0e1bc5124b095bd109c817bdbb0cc0

Observation e05187fe-32c8-4dde-bc6c-9cc485466a82 · outbound

This paper cites Statlog (German Credit Data).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Statlog (German Credit Data)

Reference 30

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source=pdf_text observed=2026-08-01T06:40:20.883289Z digest=sha256:bb71e67bea2d4e259b484103160203be9252c45216ced79d724e00b4da39abce

Observation 4538a9b9-4f10-4108-9bfa-9f2997ac79a1 · outbound

This paper cites Membership in- ference attacks on machine learning: A survey.ACM Computing Surveys (CSUR), 54(11s):1–37, 2022.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Membership in- ference attacks on machine learning: A survey.ACM Computing Surveys (CSUR), 54(11s):1–37, 2022

Reference 31

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source=pdf_text observed=2026-08-01T06:40:20.980182Z digest=sha256:4458eb62915eef06f16c990527ac3d3416d6e33607c2449ffe2741c37ec923c9

Observation 64155523-b96b-4f12-8fef-0e496fa2e7e0 · outbound

This paper cites Found- ing cryptography on oblivious transfer - efficiently.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Found- ing cryptography on oblivious transfer - efficiently

Reference 32

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source=pdf_text observed=2026-08-01T06:40:21.078058Z digest=sha256:0b4906a886449ed142efb8db41f43b0c06236530a7f7dda6f82d713369b3f9bf

Observation 83c942a1-f7e8-4771-a046-f3a6676d4de7 · outbound

This paper cites Scaling up Trustless DNN Inference with Zero-Knowledge Proofs.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

Reference 33

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source=pdf_text observed=2026-08-01T06:40:21.172039Z digest=sha256:8da294e61e04b86949477784265edad7e1aefb18003765068cc06e33e51bfc56

Observation 6a0c8ab0-553f-4523-a48f-37cc0319c015 · outbound

This paper cites Billion-gate secure computation with malicious adversaries.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Billion-gate secure computation with malicious adversaries

Reference 34

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source=pdf_text observed=2026-08-01T06:40:21.235307Z digest=sha256:2a8ff2d10e0231b4c2f9da47b66fa77224b3b7ece4b45eb2bb9c7f210e5c76ab

Observation c773a57d-9cbb-4d53-9a5b-c0375e07e734 · outbound

This paper cites zkcnn: Zero knowledge proofs for convolutional neural network pre- dictions and accuracy.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification zkcnn: Zero knowledge proofs for convolutional neural network pre- dictions and accuracy

Reference 35

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source=pdf_text observed=2026-08-01T06:40:21.317337Z digest=sha256:fb4ce55034f1c648339e4861ef271d2a0d88318bb8893dc3fd4c29e4dd9bc116

Observation 32b848af-3a4c-43a8-9a60-b578c62deea4 · outbound

This paper cites Model cards for model reporting.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Model cards for model reporting

Reference 36

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source=pdf_text observed=2026-08-01T06:40:21.389364Z digest=sha256:9f630e836c43849f8289c192dfe36caa0668ec01b22d68c09d4c79498644abab

Observation 40a0f45d-ca07-4909-92f9-a3c94baa7255 · outbound

This paper cites PhD thesis, ETH Zurich, 10 2022.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification PhD thesis, ETH Zurich, 10 2022

Reference 37

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source=pdf_text observed=2026-08-01T06:40:21.489252Z digest=sha256:1077153cf5da1d15b6c8a89da73d0c6f151b70ec3ac012756af8a3ae182fc9b1

Observation 2d7510e0-1854-4729-a5c3-a9058876721a · outbound

This paper cites Sparrow: Space-efficient zksnark for data-parallel cir- cuits and applications to zero-knowledge decision trees.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Sparrow: Space-efficient zksnark for data-parallel cir- cuits and applications to zero-knowledge decision trees

Reference 38

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source=pdf_text observed=2026-08-01T06:40:21.642232Z digest=sha256:4c2c0a87d771c343db58180444bc91a3f2b733b43722ae90562b57809fe2ebef

Observation 7cb47319-637c-4001-bdae-50b7f808762f · outbound

This paper cites Communities and Crime.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Communities and Crime

Reference 39

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source=pdf_text observed=2026-08-01T06:40:21.763665Z digest=sha256:02ff09825afd7adaf54ecaf75c5837ea5015266d44e5a0c05f8eb62c8f359009

Observation 4870cb47-3e41-41e7-b1dd-013b120d3790 · outbound

This paper cites Aequitas: A Bias and Fairness Audit Toolkit.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Aequitas: A Bias and Fairness Audit Toolkit

Reference 40

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source=pdf_text observed=2026-08-01T06:40:21.925169Z digest=sha256:6b3b23511d92a57db87e0371e05b731b2253167207eb1fe8b0062ad8460d6850

Observation 65f96377-d8ad-407e-9f7c-7489ed1be93c · outbound

This paper cites Confidential-dpproof: Confidential proof of differentially private training.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Confidential-dpproof: Confidential proof of differentially private training

Reference 41

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source=pdf_text observed=2026-08-01T06:40:22.031814Z digest=sha256:95399aabaef834b53e294090750d52438aeafc3ffb315368994b388921e23a30

Observation bb3803ed-9b57-43ad-9c7b-71185f83b0ce · outbound

This paper cites Confidential- profitt: confidential proof of fair training of trees.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Confidential- profitt: confidential proof of fair training of trees

Reference 42

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source=pdf_text observed=2026-08-01T06:40:22.181385Z digest=sha256:c4cc8d35d520ba6b746750aca1e19e4cb07e120b972a28fc564b351277dc5860

Observation 80027cbc-65f4-43de-801b-b6bd2f3a4624 · outbound

This paper cites Stochastic gradient descent with differentially private updates.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Stochastic gradient descent with differentially private updates

Reference 43

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source=pdf_text observed=2026-08-01T06:40:22.333909Z digest=sha256:b0915aa6d32084e48bbc6a2b5c30de79c673fac300efd072111a253adf74f34f

Observation 6686b969-cdd3-4d5b-81ea-c56caf342c6d · outbound

This paper cites Certi- fied defenses for data poisoning attacks.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Certi- fied defenses for data poisoning attacks

Reference 44

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source=pdf_text observed=2026-08-01T06:40:22.439030Z digest=sha256:0c16f8ff9e8fb83763e4dfd3237d9688a7337d088ca0edf6eb3ba099401d7f25

Observation 7303da32-a931-4bcf-bf49-59ebca2ead46 · outbound

This paper cites Zkdl: Efficient zero-knowledge proofs of deep learning training.IEEE Transactions on Information Forensics and Security, 2024.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Zkdl: Efficient zero-knowledge proofs of deep learning training.IEEE Transactions on Information Forensics and Security, 2024

Reference 45

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source=pdf_text observed=2026-08-01T06:40:22.549833Z digest=sha256:4da64d0d95e79f3af200722a9068f29e4fd3bc8a5ebe05694edb0824c10af64c

Observation 1db7eded-4179-4122-bcb0-b7036eb45ba9 · outbound

This paper cites Distill-and-compare: Auditing black-box models using transparent model distillation.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Distill-and-compare: Auditing black-box models using transparent model distillation

Reference 46

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source=pdf_text observed=2026-08-01T06:40:22.720803Z digest=sha256:d96cec27d2b86b7731bb8652f8efd4406c7ea2caf6a8149d17e60e0e3e74818a

Observation fae18a68-5f29-4abd-89cf-89f1f760f459 · outbound

This paper cites Fairtest: Discovering unwar- ranted associations in data-driven applications.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Fairtest: Discovering unwar- ranted associations in data-driven applications

Reference 47

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source=pdf_text observed=2026-08-01T06:40:22.832090Z digest=sha256:acf3b5dcd9ec3d59f4b7717e31ce9cd2d16e4051bdf2eb5dedb67feddfac72cf

Observation 3a8ccdc3-7960-4bae-bcf1-c1b09b0e00a5 · outbound

This paper cites ezdps: An ef- ficient and zero-knowledge machine learning in- ference pipeline.Proc.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification ezdps: An ef- ficient and zero-knowledge machine learning in- ference pipeline.Proc

Reference 48

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verified exact
doi, observed 2026-08-01T06:43:40.762099Z

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=2026-08-01T06:40:22.984009Z digest=sha256:c6764b649c3fb12062bb9ed41be59e81b7e2a41db0036c2a79e1bf5c15c23bb9

Observation 5a2ca85a-e286-456e-a898-36e9ed782a9c · outbound

This paper cites The generalization of ‘stu- dent’s’problem when several different population var- lances are involved.Biometrika, 34(1-2):28–35, 1947.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The generalization of ‘stu- dent’s’problem when several different population var- lances are involved.Biometrika, 34(1-2):28–35, 1947

Reference 49

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source=pdf_text observed=2026-08-01T06:40:23.173214Z digest=sha256:afb83da8c0dae6ace2619eb1f75d259369f4798c06d4ca43a7bee97ad4428b79

Observation 0a7dca7f-83c7-46a3-b90e-1a0e2182dcc5 · outbound

This paper cites Differentially private sql with bounded user contribution.Proceedings on Privacy Enhancing Technologies, 2020.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Differentially private sql with bounded user contribution.Proceedings on Privacy Enhancing Technologies, 2020

Reference 50

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source=pdf_text observed=2026-08-01T06:40:23.316022Z digest=sha256:492d41454731c73a16b2b805cc3568adb1a7f39ce2cd1aa4dd87014421cea94b

Observation 3d6d7ff3-4df3-421b-b2c4-7f9f6eaf5cf4 · outbound

This paper cites FairProof : Confidential and Certifiable Fairness for Neural Networks.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification FairProof : Confidential and Certifiable Fairness for Neural Networks

Reference 51

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source=pdf_text observed=2026-08-01T06:40:23.390306Z digest=sha256:296dea06d51b00c569aebf13e4b8e06f4aa735b0a455d80fc1a0d03afaf5c7ec

Observation 64446d3b-6b7f-4019-b377-151738c04c8c · outbound

This paper cites Protocols for secure computa- tions (extended abstract).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Protocols for secure computa- tions (extended abstract)

Reference 52

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source=pdf_text observed=2026-08-01T06:40:23.449833Z digest=sha256:24671049aa3e292cfa563bf0042c837b048334fa904e3b02003953c5648949b3

Observation d2414820-3ed2-43e1-9e88-8c5bec52ed27 · outbound

This paper cites How to generate and exchange secrets (extended abstract).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification How to generate and exchange secrets (extended abstract)

Reference 53

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source=pdf_text observed=2026-08-01T06:40:23.500000Z digest=sha256:9e9979d1bd00da41239d7c909db577918453c23bf42812a478f31dd178d32ec3

Observation 8b4ac495-137a-455a-b55e-67941bf5bb1f · outbound

This paper cites The comparisons of data mining techniques for the predictive accu- racy of probability of default of credit card clients.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification The comparisons of data mining techniques for the predictive accu- racy of probability of default of credit card clients

Reference 54

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source=pdf_text observed=2026-08-01T06:40:23.561718Z digest=sha256:b4c502ad8ab9034058efe4eab715437900bb8322d22983c2cdd73745a182edcd

Observation 497f56ee-452b-4e85-b947-3c7cecea0230 · outbound

This paper cites How Benchmark Prediction from Fewer Data Misses the Mark.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification How Benchmark Prediction from Fewer Data Misses the Mark

Reference 55

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source=pdf_text observed=2026-08-01T06:40:23.654993Z digest=sha256:44f4ff77eeea0a920a50bcad447a02eaaf3733c2bdb59a4354740266a55b61cb

Observation 445d229a-eab1-4c3a-9fb4-bcb11f395150 · outbound

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

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Zero knowledge proofs for decision tree predictions and accuracy

Reference 56

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source=pdf_text observed=2026-08-01T06:40:23.725952Z digest=sha256:19e3d932ec79c92b40bd141498066ed040059b245b07c5c742cc9877d1d091b5

Observation fab47a91-7c8f-41ed-a37d-cb4537f1f413 · outbound

This paper cites With respect to a private datasetchosen by the model provider, the committed model satisfies certain fairness guarantees.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification With respect to a private datasetchosen by the model provider, the committed model satisfies certain fairness guarantees

Reference 57

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no resolver link, observed 2026-08-01T06:40:23.772262Z

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source=pdf_text observed=2026-08-01T06:40:23.772262Z digest=sha256:46521299d4f4b12449952d49ee2b18b97d21a0b52b18d6161d98d3f66dd5bc6c

Observation 8b43403e-a046-45f2-aa0b-0a67f692bcfd · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 58

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no resolver link, observed 2026-08-01T06:40:23.848551Z

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source=pdf_text observed=2026-08-01T06:40:23.848551Z digest=sha256:948a2e25c4facec6f8141377e68ae8d50a0c2745fb361f7d58bcd8eb594eaa98

Observation 7835a38a-9cd1-45f3-9549-fd090e5116a9 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 59

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source=pdf_text observed=2026-08-01T06:40:23.928048Z digest=sha256:1eef766370bb31cbd00e10770b7a8a63bbe2c8ec39ab763e918eba69dbd9647e

Observation c8675527-c929-4a2e-9098-f1a68f85a67d · outbound

This paper cites Run EP (x;r E ) to extract the witness (h,ρ).

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Run EP (x;r E ) to extract the witness (h,ρ)

Reference 60

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no resolver link, observed 2026-08-01T06:40:24.036464Z

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source=pdf_text observed=2026-08-01T06:40:24.036464Z digest=sha256:40de3a5f5689d98f29cc85372b033b0671cd906ff3bf9fa2203d610309af227c

Observation b3e325c7-6662-4e3f-8526-fdbe6f8a50d1 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 61

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no resolver link, observed 2026-08-01T06:40:24.168397Z

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source=pdf_text observed=2026-08-01T06:40:24.168397Z digest=sha256:45508512525584e8b2ce74bc974fc07b32fe6e2dfe9ce1cf6ca1500bd8d8424f

Observation 0724a2d9-7b68-4d82-98ba-5c241a5b9863 · outbound

This paper cites 12We require this to realize negligible distinguishing advantage as in the standard zero-knowledge definition.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification 12We require this to realize negligible distinguishing advantage as in the standard zero-knowledge definition

Reference 62

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source=pdf_text observed=2026-08-01T06:40:24.298119Z digest=sha256:7707078e20155a041f99f88196ac841d2678b8733815bf4ebab550404a11f7bd

Observation 7adb20b8-ef99-4e35-83c7-4f49b23e9143 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 63

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no resolver link, observed 2026-08-01T06:40:24.442898Z

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source=pdf_text observed=2026-08-01T06:40:24.442898Z digest=sha256:710436ca2c97f5d8b0e6135a5f91739d6b3575f303c9561fec3de1f0f13591bb

Observation b87dc4de-cf2c-405d-b508-ea31b295ed15 · outbound

This paper cites an unresolved cited work.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Unresolved cited work

Reference 64

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no resolver link, observed 2026-08-01T06:40:24.594749Z

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source=pdf_text observed=2026-08-01T06:40:24.594749Z digest=sha256:2111ff789789c1c04be15db785d6d0729c183ab741bcd36624c63b62153a2a6d

Observation 68f99672-6e20-4dfc-a2be-26c0e6cf7516 · outbound

This paper cites Since Commit is hiding, the dummy commitment is indistin- guishable from a real commitment.

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification Since Commit is hiding, the dummy commitment is indistin- guishable from a real commitment

Reference 65

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source=pdf_text observed=2026-08-01T06:40:24.748213Z digest=sha256:1f192a0cc61079d6c4673dc8bb16cb561c682750b5386f8804cd4da0bc4dd819

Pith citing papers

No inbound Pith citation observations are available.