Paper Citation Record · LEDGER

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2501.11786.

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

pith.paper-citation-record.v1
2501.11786 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:58:01.369132Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

13 of 13 outbound references displayed

verified exact3
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eea895fa-52fd-40e8-8846-8eaaf9f0aa0c · outbound

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

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Evaluations of machine learning privacy defenses are misleading

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:01.736356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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

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

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

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.320866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a289d26a-b846-4424-a6fd-df8cdea8136d · outbound

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

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.325956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 767a0473-9d9e-46c5-b629-e3cc4a28a799 · outbound

This paper cites Evaluating Copyright Takedown Methods for Language Models.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Evaluating Copyright Takedown Methods for Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.341382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166373be-fc37-4755-b9c8-22f6ee07a819 · outbound

This paper cites LLM Dataset Inference: Did you train on my dataset?.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection LLM Dataset Inference: Did you train on my dataset?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.345520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 756a31a1-c77e-49c4-81fa-b74b9daf0df8 · outbound

This paper cites Smaller Language Models are Better Black-box Machine-Generated Text Detectors.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Smaller Language Models are Better Black-box Machine-Generated Text Detectors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.350385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40deafa-66a2-4784-8716-46499881378a · outbound

This paper cites Detecting Pretraining Data from Large Language Models.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Detecting Pretraining Data from Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.354859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e58f2a-1d66-4548-9f89-03be38b9646d · outbound

This paper cites On Evaluating Multilingual Compositional Generalization with Translated Datasets.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection On Evaluating Multilingual Compositional Generalization with Translated Datasets

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:01.431375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 128b03fc-9186-455b-96ff-8529f6f1f119 · outbound

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

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Privacy risk in machine learning: Analyzing the connection to overfitting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:58:01.722078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7a51578-0052-4367-9125-1eae6ba6e93c · outbound

This paper cites Membership Inference Attacks and Defenses in Federated Learning: A Survey.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Membership Inference Attacks and Defenses in Federated Learning: A Survey

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:01.410527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5b4896b9-1d62-4820-a3d5-cba57601e902 · outbound

This paper cites Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:58:01.505430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7466f45-a03f-4c2e-acf0-7ee3857095f1 · outbound

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

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Blind Baselines Beat Membership Inference Attacks for Foundation Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.315898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1bcd3e-b965-439c-9586-98243ddb80eb · outbound

This paper cites Wen Bao and Others.

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection Wen Bao and Others

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T17:58:01.311322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.