Paper Citation Record · LEDGER

Unlocking Post-hoc Dataset Inference with Synthetic Data

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2506.15271.

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

pith.paper-citation-record.v1
2506.15271 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:42:25.212171Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T00:30:13.665405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.489280Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy27
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da865c5e-f33a-44a8-9069-ba9ce4a1bf46 · outbound

This paper cites write newline.

Unlocking Post-hoc Dataset Inference with Synthetic Data write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.021075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5534fd88-45f7-4fdb-8029-3996ca5b1203 · outbound

This paper cites use of copyrighted work https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html.

Unlocking Post-hoc Dataset Inference with Synthetic Data use of copyrighted work https://www.nytimes.com/2023/12/27/business/media/new-york-times-open-ai-microsoft-lawsuit.html

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.760765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58824d68-0ac6-4840-a5b4-83a0121f670f · outbound

This paper cites an unresolved cited work.

Unlocking Post-hoc Dataset Inference with Synthetic Data Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:42:25.748685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c505b8bd-9c84-478f-aa24-89ad6ede0772 · outbound

This paper cites Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source llms.

Unlocking Post-hoc Dataset Inference with Synthetic Data Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source llms

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.735862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86612847-7ecc-4bd4-b064-78410da18071 · outbound

This paper cites G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M.

Unlocking Post-hoc Dataset Inference with Synthetic Data G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.041177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6032a424-1349-4d2c-ac09-416ca87d129b · outbound

This paper cites Extracting training data from large language models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Extracting training data from large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.045198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbcfca76-3ac0-4637-876d-f2ed06017112 · outbound

This paper cites Blind Baselines Beat Membership Inference Attacks for Foundation Models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Blind Baselines Beat Membership Inference Attacks for Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.049107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f1462bd-59a4-4da2-b4b9-7ac0b041b798 · outbound

This paper cites Flocks of stochastic parrots: Differentially private prompt learning for large language models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Flocks of stochastic parrots: Differentially private prompt learning for large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.707556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0d86636b-b019-42b0-a08a-35ebfd425845 · outbound

This paper cites On the privacy risk of in-context learning.

Unlocking Post-hoc Dataset Inference with Synthetic Data On the privacy risk of in-context learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.695547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e198d829-fa7c-4b86-a27a-2635b3295635 · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Unlocking Post-hoc Dataset Inference with Synthetic Data Do Membership Inference Attacks Work on Large Language Models?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.061915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e76d03-3b69-4a9a-a3d7-009f4aee0fbe · outbound

This paper cites DE-COP: Detecting Copyrighted Content in Language Models Training Data.

Unlocking Post-hoc Dataset Inference with Synthetic Data DE-COP: Detecting Copyrighted Content in Language Models Training Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.066353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35fdc8bc-4338-4585-851d-a72620de2237 · outbound

This paper cites The Llama 3 Herd of Models.

Unlocking Post-hoc Dataset Inference with Synthetic Data The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.070743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c02b6d-5ea5-4ee6-99cb-60880cf8ad91 · outbound

This paper cites CDI: Copyrighted Data Identification in Diffusion Models.

Unlocking Post-hoc Dataset Inference with Synthetic Data CDI: Copyrighted Data Identification in Diffusion Models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.684486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01cf069b-c835-428e-a727-b92f36794d43 · outbound

This paper cites A., Guan, J., and Papernot, N.

Unlocking Post-hoc Dataset Inference with Synthetic Data A., Guan, J., and Papernot, N

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.673205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7aaa7a1b-a1df-4bc3-8d96-b2a9e3243fff · outbound

This paper cites A., Dhawan, N., Guan, J., Cattan, Y., Boenisch, F., and Papernot, N.

Unlocking Post-hoc Dataset Inference with Synthetic Data A., Dhawan, N., Guan, J., Cattan, Y., Boenisch, F., and Papernot, N

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.662349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8718b8b4-dfd0-492e-9fe5-ad7fbb16c3ce · outbound

This paper cites Membership inference attacks against fine-tuned large language models via self-prompt calibration.

Unlocking Post-hoc Dataset Inference with Synthetic Data Membership inference attacks against fine-tuned large language models via self-prompt calibration

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.651803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8efea7a3-f001-4f0a-8978-9dd200bb9f13 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Unlocking Post-hoc Dataset Inference with Synthetic Data The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.090554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee7c1e3-ce35-4068-96f1-49fad22aee36 · outbound

This paper cites Time Travel in LLMs: Tracing Data Contamination in Large Language Models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.094722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4dc5eb7-b5c3-46ce-bbdc-8ff75acf3ac8 · outbound

This paper cites Olmo: Accelerating the science of language models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Olmo: Accelerating the science of language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.640170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 43d3e7ec-e16f-47b1-b998-4bcbbf5dbcde · outbound

This paper cites E., Backes, M., and Dziedzic, A.

Unlocking Post-hoc Dataset Inference with Synthetic Data E., Backes, M., and Dziedzic, A

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.627835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 871f5b94-39b5-4484-b71b-3d662760e150 · outbound

This paper cites A., Jagielski, M., Kaissis, G., Lee, K., Nasr, M., Ghalebikesabi, S., Mireshghallah, N., Annamalai, M.

Unlocking Post-hoc Dataset Inference with Synthetic Data A., Jagielski, M., Kaissis, G., Lee, K., Nasr, M., Ghalebikesabi, S., Mireshghallah, N., Annamalai, M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.616536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation deac04cf-b747-46fc-b186-1a34c5f5ff09 · outbound

This paper cites PANORAMIA : Privacy auditing of machine learning models without retraining.

Unlocking Post-hoc Dataset Inference with Synthetic Data PANORAMIA : Privacy auditing of machine learning models without retraining

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.604620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b86d2bc-8508-406a-948a-de36cd876f26 · outbound

This paper cites Privacy attacks on image autoregressive models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Privacy attacks on image autoregressive models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.592905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8128b693-8fc9-42bb-b1a0-1fe66f5c7a15 · outbound

This paper cites and Flanigan, J.

Unlocking Post-hoc Dataset Inference with Synthetic Data and Flanigan, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.580835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ae4c956-3770-4f06-aee2-cd991a584ba6 · outbound

This paper cites H., Tafjord, O., Schwenk, D., Walsh, E., Elazar, Y., Lo, K., et al.

Unlocking Post-hoc Dataset Inference with Synthetic Data H., Tafjord, O., Schwenk, D., Walsh, E., Elazar, Y., Lo, K., et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.568932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 06fabde4-3ddb-4520-a8e8-de77cbb15e90 · outbound

This paper cites and Suri, A.

Unlocking Post-hoc Dataset Inference with Synthetic Data and Suri, A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.557101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0f94bd8-8b75-4eb4-aa9c-aaaefe8fd3a1 · outbound

This paper cites Dataset inference: Ownership resolution in machine learning.

Unlocking Post-hoc Dataset Inference with Synthetic Data Dataset inference: Ownership resolution in machine learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.544633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a14e9054-995b-4e13-82d8-f93e04a8b3a3 · outbound

This paper cites LLM dataset inference: Did you train on my dataset? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

Unlocking Post-hoc Dataset Inference with Synthetic Data LLM dataset inference: Did you train on my dataset? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.532494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ac94e4b-3bad-41a4-bd60-5fc8e72d48c9 · outbound

This paper cites Membership inference attacks against language models via neighbourhood comparison.

Unlocking Post-hoc Dataset Inference with Synthetic Data Membership inference attacks against language models via neighbourhood comparison

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.520195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0bb42a26-1f06-4a49-a205-a72e0eda2ee5 · outbound

This paper cites SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

Unlocking Post-hoc Dataset Inference with Synthetic Data SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.140878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57c0d839-a387-4e75-9c9b-641231074221 · outbound

This paper cites Sim PO : Simple preference optimization with a reference-free reward.

Unlocking Post-hoc Dataset Inference with Synthetic Data Sim PO : Simple preference optimization with a reference-free reward

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.506562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b209d1d1-abae-4864-9da2-af44f09b75b2 · outbound

This paper cites S., Ladhak, F., and Hashimoto, T.

Unlocking Post-hoc Dataset Inference with Synthetic Data S., Ladhak, F., and Hashimoto, T

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.493826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f45bb243-a710-4769-9b4f-392a9147a6a1 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Unlocking Post-hoc Dataset Inference with Synthetic Data The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.153645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b97b791e-9e82-4c73-9eb5-f50c4c398980 · outbound

This paper cites D., Ermon, S., and Finn, C.

Unlocking Post-hoc Dataset Inference with Synthetic Data D., Ermon, S., and Finn, C

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.158295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cb1d784-0309-4c4d-8d5e-88373c4c4ae3 · outbound

This paper cites and Santacana, E.

Unlocking Post-hoc Dataset Inference with Synthetic Data and Santacana, E

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.473609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cc6add0-4158-48d2-9168-d255297ee96f · outbound

This paper cites Getty images lawsuit says stability ai misused photos to train AI , 2023.

Unlocking Post-hoc Dataset Inference with Synthetic Data Getty images lawsuit says stability ai misused photos to train AI , 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.460635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3a4b4e67-ba68-4a1b-923c-c163d782f8df · outbound

This paper cites To the cutoff.

Unlocking Post-hoc Dataset Inference with Synthetic Data To the cutoff

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.448782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bdb523a-44b3-4128-8172-17ad6fa90ec9 · outbound

This paper cites Detecting pretraining data from large language models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Detecting pretraining data from large language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.437327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8bc66f7-ba4b-45c0-9d2d-6233a333e875 · outbound

This paper cites Membership inference attacks against machine learning models.

Unlocking Post-hoc Dataset Inference with Synthetic Data Membership inference attacks against machine learning models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.178965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c596e7-3531-4940-9a12-df03391ab62f · outbound

This paper cites Rectangular confidence regions for the means of multivariate normal distributions.

Unlocking Post-hoc Dataset Inference with Synthetic Data Rectangular confidence regions for the means of multivariate normal distributions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.419180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d047844-d032-4752-b62c-b5c278c112cf · outbound

This paper cites Dolma: an open corpus of three trillion tokens for language model pretraining research.

Unlocking Post-hoc Dataset Inference with Synthetic Data Dolma: an open corpus of three trillion tokens for language model pretraining research

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.189270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8284cd-3915-4b19-9f1e-58c7975e7d3a · outbound

This paper cites an unresolved cited work.

Unlocking Post-hoc Dataset Inference with Synthetic Data Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.193324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4268587-6432-404e-a704-6354274b0f61 · outbound

This paper cites Unveiling security, privacy, and ethical concerns of chatgpt.

Unlocking Post-hoc Dataset Inference with Synthetic Data Unveiling security, privacy, and ethical concerns of chatgpt

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:42:25.390838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e67aea12-9892-4ee1-a1c4-136a79bce047 · outbound

This paper cites V., Murray, K., and Kim, Y.

Unlocking Post-hoc Dataset Inference with Synthetic Data V., Murray, K., and Kim, Y

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.201060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d277033c-76e0-45a4-9d7d-bab63d19113b · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting.

Unlocking Post-hoc Dataset Inference with Synthetic Data Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.204578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bae93e0-d757-4939-a913-394acf31b34a · outbound

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

Unlocking Post-hoc Dataset Inference with Synthetic Data Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.208322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1508854a-5159-46dc-8c73-e75501c9bb4e · outbound

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

Unlocking Post-hoc Dataset Inference with Synthetic Data Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T19:42:25.212171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d54cd9a6-b39a-48a9-838c-dbf983e0f922 · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Unlocking Post-hoc Dataset Inference with Synthetic Data

Reference 28

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T03:36:30.285401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25f71045-ab90-48dc-a05c-024d313290e2 · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Unlocking Post-hoc Dataset Inference with Synthetic Data

Reference 31

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T00:39:16.490576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.