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Paper Citation Record · LEDGER

Do Membership Inference Attacks Work on Large Language Models?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 53 inbound Pith citation observations for arXiv:2402.07841.

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

pith.paper-citation-record.v1
2402.07841 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 53 of 53 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 53 of 53 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:20:44.444846Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:59:46.006014Z

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Outbound references

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Pith citing papers

Observation efef95b9-ffe5-4db4-90ec-3de08df662ca · inbound

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Do Membership Inference Attacks Work on Large Language Models?

Reference 66

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source=pdf_text observed=2026-08-12T19:19:26.491701Z digest=sha256:f94983e25512418f7a5f4cf78abeca3e747568c11abe950fc7cb296120e767b0

Observation 25d85002-0d50-4809-bbd0-b29f8b11912e · inbound

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development cites this paper.

Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development Do Membership Inference Attacks Work on Large Language Models?

Reference 35

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source=pdf_text observed=2026-08-12T19:15:55.330724Z digest=sha256:a4b6aaf144b37e240bca9e13931939a874d21384d89226210ebd3059e94bfa2c

Observation 5032bb7b-722f-4f92-92c8-422ee39e9575 · inbound

LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states cites this paper.

LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states Do Membership Inference Attacks Work on Large Language Models?

Reference 9

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source=pdf_text observed=2026-08-12T05:48:18.994718Z digest=sha256:7654bcb3f7634a8e24ab892a4e2188963f3979338b96467a2fea786b9202151b

Observation 9d4bf5e5-876b-48ab-92b2-5c7b6a093b53 · inbound

Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models Do Membership Inference Attacks Work on Large Language Models?

Reference 31

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source=pdf_text observed=2026-08-11T22:06:54.057379Z digest=sha256:aa98718d35587096f072d881e7dbdcf2e26a6f3ec9c611c334b7f0ecb70b5246

Observation c2e7b4a2-9c8b-4107-ab1b-b2bf20adaa37 · inbound

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning cites this paper.

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning Do Membership Inference Attacks Work on Large Language Models?

Reference 14

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source=arxiv_source observed=2026-08-11T17:49:46.258457Z digest=sha256:a9a5925b79781560a993220bada74d21ecac26e3fec6ee94688120a16b096af7

Observation 0ef7962d-0d84-4b6b-81ee-79404630f759 · inbound

Sequence-Level Leakage Risk of Training Data in Large Language Models cites this paper.

Sequence-Level Leakage Risk of Training Data in Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 9

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source=arxiv_source observed=2026-08-11T15:09:50.684310Z digest=sha256:f0cbd0c12b8cab3ba6cf079b0c8d69dfc9d724bbc5fee19619a7d28e3d9f7f4d

Observation 09739a16-9306-470a-9ae1-63a0e0e86594 · inbound

Prompt-based Unifying Inference Attack on Graph Neural Networks cites this paper.

Prompt-based Unifying Inference Attack on Graph Neural Networks Do Membership Inference Attacks Work on Large Language Models?

Reference 14

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source=arxiv_source observed=2026-08-11T11:12:06.392665Z digest=sha256:fee1342a1d38520b8c73cf4573775870d5a4f92b9f920080d8bc3e8213d47198

Observation c39f4fc5-b137-4450-bcd7-883eb91e4dd0 · inbound

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning cites this paper.

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning Do Membership Inference Attacks Work on Large Language Models?

Reference 8

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source=pdf_text observed=2026-08-11T14:16:49.549944Z digest=sha256:6aee7c50348de2d5c24bed3f1ba4c59e7bac8bad789e8f1ed741ec8d57c5d57f

Observation 4d21b3e2-2e99-4460-8ffd-282b8f3db0b2 · inbound

Synthetic Data Privacy Metrics cites this paper.

Synthetic Data Privacy Metrics Do Membership Inference Attacks Work on Large Language Models?

Reference 97

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source=pdf_text observed=2026-08-10T21:47:30.086668Z digest=sha256:0417c09f9ffb86df1cd97571b4c95820dc7d04e6fe4a248aeaf58eb343998cc3

Observation 76c3c328-2d71-4767-a02e-f89e70c99e10 · inbound

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection cites this paper.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Do Membership Inference Attacks Work on Large Language Models?

Reference 4

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source=pdf_text observed=2026-08-10T17:58:01.320866Z digest=sha256:a77a9585dc0f2e806e5ec3c8aec8a8fe7016fa570bc1c1fdf2d78d9ad589eb97

Observation 6b53459b-c6c8-470c-befc-53e5ca51212b · inbound

Membership Inference Attacks Against Vision-Language Models cites this paper.

Membership Inference Attacks Against Vision-Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 17

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source=pdf_text observed=2026-08-10T14:01:10.830799Z digest=sha256:e6e3980b49ec8df36b7683d156d57566eb1846d5de2574c65ed8fc961a741f6a

Observation 57b9cc5d-0258-4efa-9f55-6067991adbed · inbound

How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence cites this paper.

How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence Do Membership Inference Attacks Work on Large Language Models?

Reference 2024

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source=pdf_text observed=2026-08-09T18:11:34.963750Z digest=sha256:da90b9ba6512471fbee1b53c62d8f6d7ea233bb2ad5377439de563effcd86732

Observation 86eda99d-f32b-4340-a6d7-c876b89afa67 · inbound

Position: Adversarial ML for LLMs Is Not Making Any Progress cites this paper.

Position: Adversarial ML for LLMs Is Not Making Any Progress Do Membership Inference Attacks Work on Large Language Models?

Reference 18

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source=pdf_text observed=2026-08-09T12:47:21.654892Z digest=sha256:939c4645754651a7973d4aa9243a67f1bf79927c81f9be91c6dc946d007b1846

Observation 6929fc05-553d-42ef-a768-d9f1c73d09a4 · inbound

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs cites this paper.

Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs Do Membership Inference Attacks Work on Large Language Models?

Reference 13

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source=arxiv_source observed=2026-08-07T15:04:05.514546Z digest=sha256:22add8a53f6c1bd9e4833a0d76531dc256ccca2a98bd5d9e5768ae2a004ef13d

Observation 2baf5d17-acee-49c1-b1c1-78de82ef832d · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Do Membership Inference Attacks Work on Large Language Models?

Reference 32

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source=pdf_text observed=2026-08-07T14:26:34.957705Z digest=sha256:558ff75a46f0851d6d504611659fa11a9166d7007f19b90113cb67eddb7eea24

Observation a0bba566-7a14-4d73-a1a2-ed1c6ba38de8 · inbound

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text cites this paper.

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text Do Membership Inference Attacks Work on Large Language Models?

Reference 51

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source=pdf_text observed=2026-08-07T10:29:43.885399Z digest=sha256:4eceb5d15e5030ddcdd5fd52abbcbe8b3c6d4d5757ff36ef093541c20340c305

Observation 8ccc7868-e153-43aa-ae1f-a979933d83a1 · inbound

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models cites this paper.

Hey, That's My Data! Token-Only Dataset Inference in Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 11

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arxiv_id, observed 2026-05-19T11:07:15.813439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T11:03:03.204840Z digest=sha256:46af2d447947c68b3e97be2c423e90455506461af063869b60575513079a0977

Observation 94f448c2-11f7-440a-85be-8cfe9e22b7a6 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Do Membership Inference Attacks Work on Large Language Models?

Reference 29

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source=pdf_text observed=2026-08-07T00:46:10.006386Z digest=sha256:8d1ff9edce9f7a9784dc11717e88cc102cf46e56cf313b5ea1e45effe0abb7a7

Observation 3f797671-79bf-41bb-821a-a5d6eba47522 · inbound

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble cites this paper.

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble Do Membership Inference Attacks Work on Large Language Models?

Reference 10

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source=pdf_text observed=2026-08-07T00:30:35.063894Z digest=sha256:e5a07ef92a6b6a23876e75877983a778d73e780192ad883e94f942437cf782ca

Observation ea4cd985-ea82-4188-a20e-400d96f8ccdc · inbound

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning cites this paper.

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Do Membership Inference Attacks Work on Large Language Models?

Reference 6

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source=pdf_text observed=2026-08-07T00:16:18.584861Z digest=sha256:665f5fa15561195b1f954e1c8d463a24fb939203b749dd41f3943067750e3ac6

Observation 9cadb772-dabc-40ac-8056-21749e7b401f · inbound

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation cites this paper.

MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation Do Membership Inference Attacks Work on Large Language Models?

Reference 2024

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source=pdf_text observed=2026-08-06T22:47:23.183424Z digest=sha256:5ec7f4cc0dd567d05cf369fc7b7c257506963a70cf132b3657b05f67cb79bc64

Observation 606cf67f-3846-4448-8f5a-9353ce44e412 · inbound

Breaking the Myth: Can Small Models Infer Postconditions Too? cites this paper.

Breaking the Myth: Can Small Models Infer Postconditions Too? Do Membership Inference Attacks Work on Large Language Models?

Reference 11

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source=pdf_text observed=2026-08-06T17:41:42.827941Z digest=sha256:bd6735dbc1c5eae54e909af91813f2a002ff313274570103e24701757383db29

Observation 4ef5f496-2eed-494f-9128-b865bde26af8 · inbound

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.

What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Do Membership Inference Attacks Work on Large Language Models?

Reference 15

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source=pdf_text observed=2026-08-06T17:21:33.573107Z digest=sha256:237fd1b4590c2f18cfb43f0656b3296790cefe6cfc060ef64f0bd67d904641da

Observation 40fd2cbc-f0cf-464c-afea-9b1f38bfd8ba · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Do Membership Inference Attacks Work on Large Language Models?

Reference 15

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source=arxiv_source observed=2026-08-06T15:15:18.142763Z digest=sha256:b3113a8db7c6987983021045b3280d33154ee2636666061be77aff9aa39c4a50

Observation c77d8cef-02d0-4b75-9aa2-e5755e690b87 · inbound

Understanding the Supply Chain and Risks of Large Language Model Applications cites this paper.

Understanding the Supply Chain and Risks of Large Language Model Applications Do Membership Inference Attacks Work on Large Language Models?

Reference 6

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source=pdf_text observed=2026-08-06T14:45:42.859273Z digest=sha256:9abfeebe02f97c4c889f748cc23e3e7c5f32b4b54f4f57e5b55401d09af54ecb

Observation f9b6cf5c-4721-4837-950f-20132d39562d · inbound

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models cites this paper.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 35

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source=pdf_text observed=2026-08-15T18:20:44.444846Z digest=sha256:07168feb95ec5e6c9a1813168f839769f3a6c195256fce0eccb7797cdbd8e8e7

Observation b9396d14-49be-46fd-8907-e0029956fb9d · inbound

Cascading and Proxy Membership Inference Attacks cites this paper.

Cascading and Proxy Membership Inference Attacks Do Membership Inference Attacks Work on Large Language Models?

Reference 63

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source=pdf_text observed=2026-08-06T12:54:01.045235Z digest=sha256:347bcfa597b0a187e876ba76a2fad0dc8e37657e7f53064f1f4ff075ba33a1af

Observation d1d484ca-8be7-4193-929d-df2e378d60c1 · inbound

How Quantization Impacts Privacy Risk on LLMs for Code? cites this paper.

How Quantization Impacts Privacy Risk on LLMs for Code? Do Membership Inference Attacks Work on Large Language Models?

Reference 11

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source=pdf_text observed=2026-08-06T10:26:17.888318Z digest=sha256:f2387ef4d6fe938dca5e759f82c86617f9259666ddcf0ab293349387d7bc6f68

Observation d6a6400c-386a-488b-9696-342ab2df4aba · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Do Membership Inference Attacks Work on Large Language Models?

Reference 131

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source=pdf_text observed=2026-08-05T20:31:44.954969Z digest=sha256:6341da55c5ea0a81e651686286e09661a310f4f5d9173eb71f0ecc79b24e0c6e

Observation 83b411ab-e77f-46e3-8b54-ab65d81ab2b0 · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 12

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source=pdf_text observed=2026-08-05T11:39:15.156786Z digest=sha256:484a79b40b576443ced5d24d6940c4c0ba360db025ec4b5da7687a907473a48d

Observation eee51d87-d31f-474c-b98c-e27be0ff8749 · inbound

EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint cites this paper.

EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint Do Membership Inference Attacks Work on Large Language Models?

Reference 18

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source=arxiv_source observed=2026-08-15T16:38:18.453010Z digest=sha256:e1a915850508f0062d49be30dbc00f34096f139540ed61b18ee7c5ff49e19aba

Observation 42b73b86-6d33-48ab-a7fd-0d3fd1650bf6 · inbound

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software cites this paper.

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software Do Membership Inference Attacks Work on Large Language Models?

Reference 6

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arxiv_id, observed 2026-05-16T20:03:22.225923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T20:02:47.746439Z digest=sha256:5e308a1b44baf962b25512cb5c76247e9ee546468894f9a634509690fd0ba861

Observation 42f4daff-5c49-4577-8783-97d08928e89a · inbound

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings cites this paper.

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings Do Membership Inference Attacks Work on Large Language Models?

Reference 20

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source=pdf_text observed=2026-08-02T21:52:47.078915Z digest=sha256:728edf768d65b188a083e7a78ecc0cb2dd8c3d0fb846ef8928eabc03341b6a9a

Observation 5707179e-171e-4abf-b374-8dc48447e387 · inbound

Learning the Signature of Memorization in Autoregressive Language Models cites this paper.

Learning the Signature of Memorization in Autoregressive Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 7

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arxiv_id, observed 2026-05-13T19:53:11.488922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T19:53:10.396785Z digest=sha256:5d88328d5928ed5fd26c638b2730c9aa29c0782ba3387a00de2e13cee0b2f46f

Observation a62976a8-e937-49e9-97d4-8509dacdc8a5 · inbound

CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training cites this paper.

CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training Do Membership Inference Attacks Work on Large Language Models?

Reference 1

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arxiv_id, observed 2026-05-11T09:36:03.382846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:55:42.360343Z digest=sha256:2cbf29d24af70fec275075d2d194edf99cbe371817eb354a47d07ef0acd967c5

Observation 29a0ff95-895a-4b2e-8687-34750292b1fe · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 12

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arxiv_id, observed 2026-05-11T20:26:09.134725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:34d3fcf51a2bb647d9d27c720978139a756ec64ab209e4cc905f01b66712f398

Observation c901bb3c-a570-4821-a962-6eb6b2047df9 · inbound

Black-box model classification under the discriminative factorization cites this paper.

Black-box model classification under the discriminative factorization Do Membership Inference Attacks Work on Large Language Models?

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:53.787581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T02:24:37.402352Z digest=sha256:bc1ed1282aab09fc454a05b1aade0acc71d451b0a86149c9081f08ea9b106eba

Observation 8bd72609-c11d-4787-a927-b89154a47a3e · inbound

DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction cites this paper.

DistractMIA: Black-Box Membership Inference on Vision-Language Models via Semantic Distraction Do Membership Inference Attacks Work on Large Language Models?

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:57.260858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-14T20:42:39.939034Z digest=sha256:a18fc5de43c614a40ff15fe9901763455735f45a360cc740403a619bf408701c

Observation 6757cc56-d5b8-428f-a1e6-22c81bc58dae · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Do Membership Inference Attacks Work on Large Language Models?

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:52:48.251084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:73cade8787a3441018a65fb1b1d5a6af09f3ba9a02c4ede34f6b95c8bf125c7a

Observation 01d1bcf2-e326-4efd-bc70-1097872ee15b · inbound

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs cites this paper.

TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Do Membership Inference Attacks Work on Large Language Models?

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:47.921982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T15:32:05.976335Z digest=sha256:1a0303426fb2070dcee6249fc88a14c37047d10e407e2f8e3f2e32c0cf624c54

Observation c828bbc7-0c5a-4f43-8401-9d6214252b82 · inbound

MRMMIA: Membership Inference Attacks on Memory in Chat Agents cites this paper.

MRMMIA: Membership Inference Attacks on Memory in Chat Agents Do Membership Inference Attacks Work on Large Language Models?

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:13:27.040213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T12:04:53.511344Z digest=sha256:ea4eb9399d074158a1067737851c705c9fe825e819273706539d6477c4b1076e

Observation a1977308-f5cd-44a5-9773-999193f81a2d · inbound

Auditing Training Data in Generative Music Models via Black-Box Membership Inference cites this paper.

Auditing Training Data in Generative Music Models via Black-Box Membership Inference Do Membership Inference Attacks Work on Large Language Models?

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:53:16.246563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T08:45:23.523801Z digest=sha256:a92cf8cf71c42a7ce7e7a5a60e155899fcb3ef5d9b6ea969b48f6c2dd5e861a6

Observation 87a887c1-d2b5-4a13-84ee-43df872b98b4 · inbound

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT cites this paper.

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT Do Membership Inference Attacks Work on Large Language Models?

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:47:17.953667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T21:52:53.076668Z digest=sha256:54b5a70f3bac314151c13b5c11ab1f76eb18620b36ac83f6411c21bab2a1547c

Observation 5351836b-be6c-4941-b63c-49fa8feb61d2 · inbound

SoK: Colluding Adversaries in Machine Learning Pipelines cites this paper.

SoK: Colluding Adversaries in Machine Learning Pipelines Do Membership Inference Attacks Work on Large Language Models?

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:33.483376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T16:10:51.471822Z digest=sha256:e5ec2567d3fbaed59a0ba3ce0efcb96d8ef18dab2ad7f6f1c5c1a081b88f682d

Observation 3ec6f159-f92e-4453-b1a8-376d579ab49f · inbound

Have You Ever Seen Them? Entity-level Membership Inference through Interrogating Large Language Models cites this paper.

Have You Ever Seen Them? Entity-level Membership Inference through Interrogating Large Language Models Do Membership Inference Attacks Work on Large Language Models?

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:59:46.007592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T08:18:08.641691Z digest=sha256:b53dd74cfcdb711cde633d227ef2c258b0373cb917efda915f35d25ad84d1bd6

Observation 6fd9a43c-05f2-4763-ab73-96ebaa03ac86 · inbound

Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs cites this paper.

Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs Do Membership Inference Attacks Work on Large Language Models?

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:25:48.782266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T01:23:52.085007Z digest=sha256:3df967e2e5c08b6815900943bb457ccfebb0b577e3597bb96258da039ec1dd0a

Observation 0b5115db-4280-44a1-b503-07dc97b09ed3 · inbound

Watermarking for Proprietary Dataset Protection cites this paper.

Watermarking for Proprietary Dataset Protection Do Membership Inference Attacks Work on Large Language Models?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:08.424761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T16:09:50.072430Z digest=sha256:3b622c621236cb5a1812d4ef87f3e7c7f62de26f31e08cfc05d7a3aa9935c8b2

Observation f8eba25e-0ae9-4b7a-a1c7-3e05532a4483 · inbound

WARP: Weight-Space Analysis for Recovering Training Data Portfolios cites this paper.

WARP: Weight-Space Analysis for Recovering Training Data Portfolios Do Membership Inference Attacks Work on Large Language Models?

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:58:46.712670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:a1e957131a8da35e2a2f57a1f7414fbeacf627a172d5e1baafb1521126d833c2

Observation 39f124bf-3130-473b-b751-d411733e6fce · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Do Membership Inference Attacks Work on Large Language Models?

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:26.241104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:26.241104Z digest=sha256:8c042b32b5b354c94a213b4d726df2ca84b77a11a1c664eb324747989f9bcde5

Observation 389c5132-c9a4-480b-9768-f7e34dd9604c · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Do Membership Inference Attacks Work on Large Language Models?

Reference 122

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:31.981486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:31.981486Z digest=sha256:765f66f4f1a3f0d4d8ece263e50f383a3847407f08a6687c3807b5cfec682036

Observation 3b6506ba-f4ae-43db-9bd6-7e0531d18027 · inbound

Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores cites this paper.

Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores Do Membership Inference Attacks Work on Large Language Models?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T04:31:04.357384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:31:04.357384Z digest=sha256:d6800780aec952f452314f018796afad0d7d73d3358e6a0aa6a324f22505cabe

Observation b049e49f-11ed-4f11-82b4-e13eb0391e0c · inbound

GROM: Gradient-Free Rapid One-Shot Machine Unlearning cites this paper.

GROM: Gradient-Free Rapid One-Shot Machine Unlearning Do Membership Inference Attacks Work on Large Language Models?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T23:36:41.585468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:36:41.585468Z digest=sha256:7f1b7bba055283702d1597c126df89903c2c1f9caf7b6eb78e5fd349f3a3e92f

Observation 38ddb5d6-c233-4000-9062-fbfaaa98be4d · inbound

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning cites this paper.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Do Membership Inference Attacks Work on Large Language Models?

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:57.071910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:57.071910Z digest=sha256:6d5c3d4a9968d90038a4a0b53598e32559b839a888eb9c2c2e6b45bc10bf9261