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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-21T06:32:19.484+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:eafecb795cf7b8a8456ccb7d69cbb5e916b4e4988c3bfa41fdb9e62c9fb75899

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=sha256:07571ea46449dfa50c569c1edc2a7251f2f848724450af8e8c8ca41b2d43b513

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=sha256:5fe6e122694cc9e4214d572cf0ee6423c04279cb8eef181f22db5e3a4091d18c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T21:37:54.702010Z digest=sha256:03f4f4a42b6242439d33d2476978f349ad613139225cefaa31936a77122efb75

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:aca5a99fda659efceb986f86907cfe8f7dae13a09e2bd07fa7c14ada81e1d69b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T03:04:54.146481Z digest=sha256:a22f51e66fd3d075dc37e19254f5d0456bee75e6b99759bebdcb8e6740d9f899

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:9a9ac91728c5caaed230f142124c613baefae226dd3dca66758f03d9336722e2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:15:59.533563Z digest=sha256:3a65d2819f28086a4ddb9fb251e2e776adaaf170ecba6a4e386f1521506523ea