Paper Citation Record · LEDGER

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2502.03692.

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

pith.paper-citation-record.v1
2502.03692 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:11:59.896263Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy15
unresolved11
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5292b97f-28d0-4115-aa06-36733e36f6ea · outbound

This paper cites Deep learning with differential privacy.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Deep learning with differential privacy

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.794025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1bc712-aafa-476f-9cac-2ba6c2381dde · outbound

This paper cites Practical Blind Membership Inference Attack via Differential Comparisons.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Practical Blind Membership Inference Attack via Differential Comparisons

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.806746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c02bdad-91c3-44e4-b1e2-ad7d84393945 · outbound

This paper cites an unresolved cited work.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Unresolved cited work

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T04:12:00.056014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c89f7fe-e93c-44d9-83e0-0c6743030574 · outbound

This paper cites an unresolved cited work.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:12:00.044900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e1df3a0-91f5-4a7d-85a3-2a574ff0878f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Adam: A Method for Stochastic Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.819992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bc730e-3c09-4456-ae62-cf6315a4c8cd · outbound

This paper cites Pix2struct: screenshot pars- ing as pretraining for visual language understanding.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Pix2struct: screenshot pars- ing as pretraining for visual language understanding

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.171678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c40ab5a-3f84-44d5-8703-873fcf225f64 · outbound

This paper cites Membership leakage in label-only exposures.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Membership leakage in label-only exposures

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.161503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ed4da1e-48eb-4391-ba47-9a59dc4d856b · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.835732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b54f0e4-472c-4370-bf52-6f2417bacf39 · outbound

This paper cites Membership inference at- tacks against machine learning models.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Membership inference at- tacks against machine learning models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.151798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c2752d8-4931-495b-921f-cfec66c5b0f5 · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Privacy risks of securing machine learning models against adversarial examples

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.141952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2f640e7-bb83-4b6d-a399-370a91f7a8b5 · outbound

This paper cites Privacy-aware document visual question answering.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Privacy-aware document visual question answering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.132255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fd6fd4d-e93a-40d4-9deb-5642fe253508 · outbound

This paper cites Transformers: State-of-the-art natural language processing.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Transformers: State-of-the-art natural language processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.121915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06f66321-b3a6-4599-ab03-38691d254a4a · outbound

This paper cites Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, and Reza Shokri.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda, Vincent Bindschaedler, and Reza Shokri

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.112784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63f8db0d-2f2a-4354-9025-82baf10a8c31 · outbound

This paper cites Privacy risk in machine learn- ing: Analyzing the connection to overfitting.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Privacy risk in machine learn- ing: Analyzing the connection to overfitting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.104207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b20cd380-7302-4846-bcfb-40d6757d1a3e · outbound

This paper cites Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.861601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 430cdd23-75e6-423b-b850-f28289dc51f4 · outbound

This paper cites This dataset is specifically designed for DocVQA tasks in a federated learning and differential privacy setup, supporting different levels of privacy granularity.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models This dataset is specifically designed for DocVQA tasks in a federated learning and differential privacy setup, supporting different levels of privacy granularity

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.087095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b494339-352e-4e1f-a9c7-a86133a6a16d · outbound

This paper cites A document is predicted as a member if ¯l ≤ κ and otherwise non-member, where κ is selected as the average value of ¯l across Dtest.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models A document is predicted as a member if ¯l ≤ κ and otherwise non-member, where κ is selected as the average value of ¯l across Dtest

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.077852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c199b3a0-88c0-46ab-b629-3fddbc2dd56c · outbound

This paper cites We first study the effect of α, which controls the speed of the optimization process in our attacks.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models We first study the effect of α, which controls the speed of the optimization process in our attacks

Reference 24

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T04:12:00.066316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 01b32270-281a-4ba8-a72b-fb6580df11cf · outbound

This paper cites Table 10 presents the target models’ performance across both DocVQA datasets.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Table 10 presents the target models’ performance across both DocVQA datasets

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T04:12:00.034307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e93a756-94b8-4723-a315-ade09726015b · outbound

This paper cites total amount.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models total amount

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.025283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b2971672-e865-4a87-8b1e-6a9fb8f9f92e · outbound

This paper cites The expectation is that the proxy model can capture internal decision-making patterns by following the black-box’s prediction strategies.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models The expectation is that the proxy model can capture internal decision-making patterns by following the black-box’s prediction strategies

Reference 29

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T04:12:00.015558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e4a267e-b7d4-475e-bb75-4e65b1a8db2a · outbound

This paper cites For additional details on the effects of document resolution, we refer readers to the original model’s paper(Kim et al., 2022).

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models For additional details on the effects of document resolution, we refer readers to the original model’s paper(Kim et al., 2022)

Reference 1920

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.004653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 914982c4-33cb-4601-9baf-534fbe4916ec · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.803351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5bf5c8f-a12a-4857-8bc8-ac38ec37b8a4 · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Detecting Pretraining Data from Large Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.839508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07423aa9-baf6-4d1b-92f1-451b9ecc8d5f · outbound

This paper cites Mem- bership inference attacks from first principles.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Mem- bership inference attacks from first principles

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.196877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d6983ea-fa58-4865-8666-ca3b144af07f · outbound

This paper cites Document Visual Question Answering Challenge 2020.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Document Visual Question Answering Challenge 2020

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.831474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90ac771-a585-4877-b33a-2e780f03993f · outbound

This paper cites Mistral 7B.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Mistral 7B

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.810754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ef42f1-2863-41f2-ae06-05364fd9965d · outbound

This paper cites Label-only membership inference attacks.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Label-only membership inference attacks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T04:11:59.800472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca89db49-8ef5-47f8-bee3-cbd40afb50ae · outbound

This paper cites Ocr-free document un- derstanding transformer.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Ocr-free document un- derstanding transformer

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.182025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3cd7fcbe-9fb0-45f0-85e4-9ffc2d424ed6 · outbound

This paper cites 18 D.2 Target Model Performance on DocVQA.

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models 18 D.2 Target Model Performance on DocVQA

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:12:00.095378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.