Paper Citation Record · LEDGER

Membership Inference Attacks on Sequence Models

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.05126.

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

pith.paper-citation-record.v1
2506.05126 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:31.056024Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

47 of 47 outbound references displayed

verified exact0
verified fuzzy35
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 933c6178-cd05-485c-b4ae-3dc19212d128 · outbound

This paper cites Position: Considerations for differentially private learning with large-scale public pretraining,.

Membership Inference Attacks on Sequence Models Position: Considerations for differentially private learning with large-scale public pretraining,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.802779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9278097-f004-4fe3-abca-1d9663e93f28 · outbound

This paper cites What does it mean for a language model to preserve privacy?.

Membership Inference Attacks on Sequence Models What does it mean for a language model to preserve privacy?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.788577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99eb1249-be10-402b-a03c-d52a336a2014 · outbound

This paper cites Membership inference attacks against machine learn- ing models,.

Membership Inference Attacks on Sequence Models Membership inference attacks against machine learn- ing models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.774226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3918873-35cc-415c-bd61-7447db2bab9b · outbound

This paper cites Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data.

Membership Inference Attacks on Sequence Models Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:29.099807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c3ba9c8-3e2c-4bc7-a609-6d1edd3257ca · outbound

This paper cites Membership inference attacks from first principles,.

Membership Inference Attacks on Sequence Models Membership inference attacks from first principles,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.759277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46e53db8-dcfd-4bcb-89c7-fb2681b7e44e · outbound

This paper cites PaLM 2 Technical Report.

Membership Inference Attacks on Sequence Models PaLM 2 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:29.361757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2338e604-2969-4a25-a309-0845b44f1d5a · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Membership Inference Attacks on Sequence Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:29.450165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d13d353-d1f6-4b68-b284-39b66637911f · outbound

This paper cites GPT-4 Technical Report.

Membership Inference Attacks on Sequence Models GPT-4 Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:29.574270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6adf775-5546-4cb1-ae35-b6a44b5cfd8e · outbound

This paper cites Do membership inference attacks work on large language models?.

Membership Inference Attacks on Sequence Models Do membership inference attacks work on large language models?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.744254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e1535c3-61e8-425f-a1a3-85b87b819675 · outbound

This paper cites The privacy onion effect: Memorization is relative,.

Membership Inference Attacks on Sequence Models The privacy onion effect: Memorization is relative,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.729569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 257cc449-d29f-4fa4-a7f1-b95cc9e9b393 · outbound

This paper cites Quantifying memorization across neu- ral language models,.

Membership Inference Attacks on Sequence Models Quantifying memorization across neu- ral language models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.712299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a27b565-f86a-4e6a-aabb-3d39ec07f54e · outbound

This paper cites Extracting training data from large language models,.

Membership Inference Attacks on Sequence Models Extracting training data from large language models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.696047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29a4a358-2d48-4eb1-8631-d8d6e38c499e · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Membership Inference Attacks on Sequence Models Scalable Extraction of Training Data from (Production) Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:30.352883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ac44b35-84a9-441d-a20f-b720b73c673e · outbound

This paper cites Extracting training data from document- based vqa models,.

Membership Inference Attacks on Sequence Models Extracting training data from document- based vqa models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.680842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2bcbce4-f3bb-43d7-b0a6-b1fb431903e2 · outbound

This paper cites Diffusion art or digital forgery? investigating data replication in diffusion models,.

Membership Inference Attacks on Sequence Models Diffusion art or digital forgery? investigating data replication in diffusion models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.665412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb0446c1-f475-4abe-bf6e-e99a62e04ed3 · outbound

This paper cites Extracting training data from diffusion models,.

Membership Inference Attacks on Sequence Models Extracting training data from diffusion models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.649261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 554a1aab-d4a9-4732-b58f-c68ceb5c21c6 · outbound

This paper cites Measuring Non-Adversarial Reproduction of Training Data in Large Language Models.

Membership Inference Attacks on Sequence Models Measuring Non-Adversarial Reproduction of Training Data in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:30.924737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff4d376-2ab0-4e35-a842-62903b4c0ea2 · outbound

This paper cites Evaluations of machine learning privacy defenses are misleading,.

Membership Inference Attacks on Sequence Models Evaluations of machine learning privacy defenses are misleading,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.634305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7363f323-8e71-4d7b-940d-cb13c78346ee · outbound

This paper cites Does learning require memorization? a short tale about a long tail,.

Membership Inference Attacks on Sequence Models Does learning require memorization? a short tale about a long tail,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:30.933256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 445495ab-6e29-4711-8de2-c16627cf1681 · outbound

This paper cites Memorization in self- supervised learning improves downstream generaliza- tion,.

Membership Inference Attacks on Sequence Models Memorization in self- supervised learning improves downstream generaliza- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.609017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b4bf324-b747-4776-924a-5b22c7bff707 · outbound

This paper cites Privacy risk in machine learning: Analyzing the con- nection to overfitting,.

Membership Inference Attacks on Sequence Models Privacy risk in machine learning: Analyzing the con- nection to overfitting,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.592124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c5e278f-fde5-4862-978f-53663326d7b3 · outbound

This paper cites Revisiting membership inference under re- alistic assumptions,.

Membership Inference Attacks on Sequence Models Revisiting membership inference under re- alistic assumptions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.578159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aeb5df40-0634-4c4c-8e48-a566316dc016 · outbound

This paper cites Detecting credential spearphishing in enter- prise settings,.

Membership Inference Attacks on Sequence Models Detecting credential spearphishing in enter- prise settings,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.563166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 523dc27a-4be6-493e-87e1-b3a78e5a4398 · outbound

This paper cites The pitfalls of average-case differential privacy,.

Membership Inference Attacks on Sequence Models The pitfalls of average-case differential privacy,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.546513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a33c73f8-7032-497b-a8a2-85e05f657000 · outbound

This paper cites Privacy au- diting with one (1) training run,.

Membership Inference Attacks on Sequence Models Privacy au- diting with one (1) training run,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.530874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6bbfc092-4974-4055-b100-1050b1c4701f · outbound

This paper cites Detecting pretraining data from large language models,.

Membership Inference Attacks on Sequence Models Detecting pretraining data from large language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.514227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d64ba19-d40c-4db7-b05e-9791aa2bd424 · outbound

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

Membership Inference Attacks on Sequence Models Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:30.967563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff5b496-168d-4a0d-b93b-d340ef658f57 · outbound

This paper cites Membership inference attacks against language models via neigh- bourhood comparison,.

Membership Inference Attacks on Sequence Models Membership inference attacks against language models via neigh- bourhood comparison,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.499469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9ae17e45-efa1-4fbc-98a9-9dee2d082016 · outbound

This paper cites White-box vs black-box: Bayes optimal strategies for membership inference,.

Membership Inference Attacks on Sequence Models White-box vs black-box: Bayes optimal strategies for membership inference,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.483955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0269d0be-840a-4664-a83c-1be4d6c0978c · outbound

This paper cites On the importance of difficulty calibration in membership inference attacks,.

Membership Inference Attacks on Sequence Models On the importance of difficulty calibration in membership inference attacks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.468139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8471c68e-9c0a-4d22-aa8e-baf8c35599f8 · outbound

This paper cites Truth serum: Poisoning machine learning models to reveal their secrets,.

Membership Inference Attacks on Sequence Models Truth serum: Poisoning machine learning models to reveal their secrets,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.438071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26c9840f-4d6f-4909-8664-1eef1ec5e2cd · outbound

This paper cites Low- cost high-power membership inference attacks,.

Membership Inference Attacks on Sequence Models Low- cost high-power membership inference attacks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.423373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 294c9abb-c0d9-40f0-9a2d-4c7761dc2ec4 · outbound

This paper cites Ix. on the problem of the most efficient tests of statistical hypotheses,.

Membership Inference Attacks on Sequence Models Ix. on the problem of the most efficient tests of statistical hypotheses,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.407778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7dc4576-2fa6-44c0-9523-42bcc61ce99b · outbound

This paper cites The neural autore- gressive distribution estimator,.

Membership Inference Attacks on Sequence Models The neural autore- gressive distribution estimator,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.391100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4aea308-e1ee-4a4c-8402-544109bae8fa · outbound

This paper cites Scalable pre-training of large autoregres- sive image models,.

Membership Inference Attacks on Sequence Models Scalable pre-training of large autoregres- sive image models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.375359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab952110-d6e6-4ae7-b229-f3ae32962afb · outbound

This paper cites PixelCNN++: Improving the pixelCNN with discretized logistic mixture likelihood and other modifications,.

Membership Inference Attacks on Sequence Models PixelCNN++: Improving the pixelCNN with discretized logistic mixture likelihood and other modifications,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.360127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 456b724b-574f-4561-a3fb-0801f178d750 · outbound

This paper cites Some recent advances in forecasting and control,.

Membership Inference Attacks on Sequence Models Some recent advances in forecasting and control,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.343827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e2744a9-99ea-401d-92f5-8a20ddcce117 · outbound

This paper cites Protein design and vari- ant prediction using autoregressive generative models,.

Membership Inference Attacks on Sequence Models Protein design and vari- ant prediction using autoregressive generative models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.328776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9990d1b0-d674-45dc-8341-4c48232f4226 · outbound

This paper cites Long short-term memory,.

Membership Inference Attacks on Sequence Models Long short-term memory,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:31.024276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737e487f-db5c-4fa9-b9ab-c5ebb2b63cfc · outbound

This paper cites Attention is all you need,.

Membership Inference Attacks on Sequence Models Attention is all you need,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:31.029310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d005257-f49b-46ca-ac47-f9356f702502 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling,.

Membership Inference Attacks on Sequence Models Pythia: A suite for analyzing large language models across training and scaling,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.293815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 21a75257-3e90-4da5-b45d-ecb2cf43bbd9 · outbound

This paper cites Shrinkage algorithms for mmse covariance estima- tion,.

Membership Inference Attacks on Sequence Models Shrinkage algorithms for mmse covariance estima- tion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.277336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33d16257-61ff-4316-8829-6d9dc370c613 · outbound

This paper cites Enhanced membership inference at- tacks against machine learning models,.

Membership Inference Attacks on Sequence Models Enhanced membership inference at- tacks against machine learning models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.261331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e5d4046-d6b6-45eb-8c5e-b64133676cd9 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Membership Inference Attacks on Sequence Models Gemini: A Family of Highly Capable Multimodal Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:31.047414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3945cd35-3929-434e-9692-59a763e3b28b · outbound

This paper cites Personalizing dialogue agents: I have a dog, do you have pets too?.

Membership Inference Attacks on Sequence Models Personalizing dialogue agents: I have a dog, do you have pets too?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.245570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81ecba9e-a172-429d-8fc7-9518ea4a0528 · outbound

This paper cites Decoupled Weight Decay Regularization.

Membership Inference Attacks on Sequence Models Decoupled Weight Decay Regularization

Reference 46

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:27:31.056024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249992c9-1287-430b-ba6d-94dc34a72d82 · outbound

This paper cites [Online].

Membership Inference Attacks on Sequence Models [Online]

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:27:31.452866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.