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Paper Citation Record · LEDGER

Do Membership Inference Attacks Work on Large Language Models?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 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 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:31:04.357384Z

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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=sha256:56d9da9c8f8610fac0b2d9bdf37336cc5eb6543b3150577b89dc618174ce9f3f

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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no resolver link, observed 2026-08-07T14:26:34.957705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:34.957705Z digest=sha256:3686218db75913c8cf639a3682aa58d9a39fae3aadc5eb34652b4c375bacda14

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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no resolver link, observed 2026-08-07T10:29:43.885399Z

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source=pdf_text observed=2026-08-07T10:29:43.885399Z digest=sha256:b8795c79e8c8e2f988612ecb15eb812b904730c63924c6a9708a72110feed327

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T11:03:03.204840Z digest=sha256:b9434ccfbecdc6cae6e77430d90e9f5a40f73f4e3a4051dc3e75c28cff9a7fed

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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no resolver link, observed 2026-08-07T00:46:10.006386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:10.006386Z digest=sha256:f895b7756421f093fb4df09a5e73b7435e4920187fa855127a20e66926882588

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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no resolver link, observed 2026-08-07T00:30:35.063894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:30:35.063894Z digest=sha256:ad2b88847b862fd61ab2308e8b8d03dc96b68f14107e17ce58ed96b54755b340

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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no resolver link, observed 2026-08-07T00:16:18.584861Z

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source=pdf_text observed=2026-08-07T00:16:18.584861Z digest=sha256:2cee5a029d385194a09bf8fedbae5d02cf69e08d2f906d45cd798ccda4c5fcb9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:47:23.183424Z digest=sha256:43b0d407815b5ec988bd2afb1b49c74763bd95e3c75d6fe8e858c42effcf77e2

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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no resolver link, observed 2026-08-06T17:41:42.827941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:41:42.827941Z digest=sha256:57da059a994485b954aa7aa2858268e6950e2f1a4c859b76fdb9f6b0dfe22c0b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:33.573107Z digest=sha256:c6a1db7e26c6e8d3fdfc646de2110a2dbf35880896535bbd730a5a46f374b5a4

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:15:18.142763Z digest=sha256:4d5d54ba99f3c472660c18c5f841439ce3c484d3b0317c58e27c40ddffefd28a

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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no resolver link, observed 2026-08-06T14:45:42.859273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:42.859273Z digest=sha256:a71173a85a00c282a0bde259acd6640f10e94fc4be96f2c50516085d0c71109f

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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no resolver link, observed 2026-08-06T12:54:01.045235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:54:01.045235Z digest=sha256:84dee4e3001c9ccb2a52ba792f02485b480c9acac08c3885656ec8878654ad9c

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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no resolver link, observed 2026-08-06T10:26:17.888318Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:26:17.888318Z digest=sha256:b950133a2661689377037d0d4f98970422ab23828fa845a0152aa22391ccac6a

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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no resolver link, observed 2026-08-05T20:31:44.954969Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:44.954969Z digest=sha256:5c05e63c50ac8bd96b1a7ddb25ff98afc1335dd30a84816367e1caa98b533572

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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no resolver link, observed 2026-08-05T11:39:15.156786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:15.156786Z digest=sha256:ff9b2e7bfb7b2f81f965fea2d7adac9d067358956ca0db2539041cab9935dd9e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T20:02:47.746439Z digest=sha256:2f66db573fbdea40a3b993dbfb58454be781ac3b432785d3b4ee37558d322004

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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no resolver link, observed 2026-08-02T21:52:47.078915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:52:47.078915Z digest=sha256:b8a0f942f682665cb8d4107eb1f182011f6bebbe31680f15a27d9977ede88d75

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:53:10.396785Z digest=sha256:04c892de4593b768284636dc9e055f59119de0d483463a07e92e2f93b7d5a98a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:55:42.360343Z digest=sha256:8e17a918785db22c372ca8644c1c652263566e13f8eb6dce7495221ae31c3666

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:2c7c92624ba0e4a40ad11fe0dd8c5491ef422b0ebc00dff029ddc4cc0484fec7

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:24:37.402352Z digest=sha256:1892516470c6d04d6f2b25e48b4c67be12f1ba23dc5a6475bf1af64140b8ee20

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T20:42:39.939034Z digest=sha256:774d132083ab5264366bf54aef8c13d7f9683cef76542b9fe9f96b1070a94f49

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:3cf7c1424cbdbd0b3261e092ed8d357bcd265de1e8ffc4fadb838ede6e54f660

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T15:32:05.976335Z digest=sha256:b9309b55154865a14982fbd2ec0e5ea02419184b9db44c3877970ae05ee4d37d

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T12:04:53.511344Z digest=sha256:ce36479649cd2a5f85eb20d16abd5ce1a1937b3169fa9a172d147abd49e69854

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:45:23.523801Z digest=sha256:5d6ecef5aa912c53bef4d153dd00fbeae2c444929e257c3884832eed7a1e6425

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T21:52:53.076668Z digest=sha256:b1f6188cecf1aeef500eb6a6b3bd4eb2f93431e0e4132a3ddb0b0e290651c785

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:10:51.471822Z digest=sha256:f28439d3bf84c1e2bc5e3969710c66d49ec693aa8c50db1dd54e2b599a135cfc

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T08:18:08.641691Z digest=sha256:c5b5aaee147fd190c4daa986e1b843dac31b67252386aeca1dfe07d66ad37aba

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T01:23:52.085007Z digest=sha256:e633d8124257208e6c60ca9880e08dfc162463df28771b19a2a69f0f69bee4e3

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T16:09:50.072430Z digest=sha256:f4b65362c060febc19930c34bf74084e166ca89bf0da8d6514216c2be58f8761

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-03T17:54:31.856386Z digest=sha256:928a68684b1d500e28f918c4cb729be3611b72383acef1914c412905570ee774

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

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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:dfeb168357bfd82c50cfb0697337f075b24badc124f82b6de89d9cf6d033b5d4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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?

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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?

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