Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.19798.

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

pith.paper-citation-record.v1
2409.19798 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:29.099807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.323922Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Membership Inference Attacks on Sequence Models cites this paper.

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 46da7838-d8a7-46bc-a8c6-f476d6370050 · inbound

What Really is a Member? Discrediting Membership Inference via Poisoning cites this paper.

What Really is a Member? Discrediting Membership Inference via Poisoning Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:13:04.724789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d1ba9e-f3ba-4b3b-81e3-47f987ded3f4 · inbound

Membership Inference Attacks for Unseen Classes cites this paper.

Membership Inference Attacks for Unseen Classes Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-08-07T06:04:25.061599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06486087-dd1c-4781-ba8e-977b5d196c03 · inbound

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:17.059579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031ef1be-6e45-46b2-b94c-9973d3bad810 · inbound

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

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:35.313912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee29afb1-f6d5-4e8c-a1cc-88f9d6a9fd20 · 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 Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:16:19.795049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21032e1b-e41d-4d7a-bfb3-785fb5e58b9e · 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 Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:21.422233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e649d56-6673-4c36-ad51-d58c94c904bc · inbound

Causal Evaluation of Membership Inference Attacks cites this paper.

Causal Evaluation of Membership Inference Attacks Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T05:23:05.159658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a897c75-5e11-4b8a-b097-6872d97a307e · inbound

Natural Identifiers for Privacy and Data Audits in Large Language Models cites this paper.

Natural Identifiers for Privacy and Data Audits in Large Language Models Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:57.325646Z

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.