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Paper Citation Record · LEDGER

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.06443.

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

pith.paper-citation-record.v1
2407.06443 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:09.010064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T21:40:17.659757Z

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 e8c9eb8f-a6e9-4b2c-8181-a1e88602ff0c · inbound

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO cites this paper.

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:09.010064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:09.010064Z digest=sha256:50351579c755ed952be8905a83a85251453091e820f6bdde2d6895c20bc4f7d5

Observation 3280134e-d360-4f8c-a9b0-dbcfe4d6476e · inbound

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment cites this paper.

Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:57.064925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:44:57.064925Z digest=sha256:cd9f562c4058e63b1bf5758ecaeb6b91e4c1382359d9945aefd59880ad145503

Observation f69b60ae-9319-45e0-bcd1-ec138d112ecb · inbound

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage cites this paper.

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T16:50:21.623882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:50:21.623882Z digest=sha256:7a139faa9304cb4b97bdeb4d7323493de7db6efcd87a7638e0213aa7904b53a6

Observation ed2122dd-a9df-46c1-aebb-c2375494b64e · inbound

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards cites this paper.

Auditing Data Membership in Reinforcement Learning With Verifiable Rewards Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:40:17.662177Z

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.

source=pdf_text observed=2026-05-17T21:37:54.702010Z digest=sha256:c292a2469b49204a4adf4f41701cda30a4b62f8939d07636d341561385ee299e

Observation f5039676-5ac9-41d7-9d9c-87dbcfaebbd8 · inbound

Improved Bounds for Private and Robust Alignment cites this paper.

Improved Bounds for Private and Robust Alignment Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 3793

Resolution
unresolved
no resolver link, observed 2026-08-03T13:42:06.107129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:42:06.107129Z digest=sha256:2677a664ecf1ff972433793820e17d6af3bd71fbf479e490f5ead5f8f124cf54

Observation 559d2ee9-5076-4455-9eed-7759a419ab0c · inbound

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training cites this paper.

Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:04.015362Z

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.

source=arxiv_source observed=2026-05-10T03:04:54.146481Z digest=sha256:773cdd6faafa9962796ecf2a08ef6d8defd08969335efc64e68bf93464b50b4a

Observation 62595f13-3a6e-4a0b-a18f-d584a3b8c4cc · 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 Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:09.184744Z

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.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:834c4413fb240467fbfe7b27b0e0b120217e21ee4d535d756930d2ad261267bd

Observation 3a69bceb-4dc7-4315-aedc-601aeaad6dc6 · inbound

Towards Differentially Private Reinforcement Learning with General Function Approximation cites this paper.

Towards Differentially Private Reinforcement Learning with General Function Approximation Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:31:00.520868Z

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.

source=pdf_text observed=2026-05-11T01:15:59.533563Z digest=sha256:c424eb751210ce98ac51efc014fb6e7fec8b1231108e344873a00b9e26535873