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Paper Citation Record · LEDGER

Formalizing and Estimating Distribution Inference Risks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.06024.

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

pith.paper-citation-record.v1
2109.06024 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:29:46.725458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:37:30.284495Z

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 b8618376-17eb-4222-b60c-303d2c84d7a2 · inbound

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark cites this paper.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Formalizing and Estimating Distribution Inference Risks

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:46.725458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:46.725458Z digest=sha256:577cd1638b669570648d220fbc10ea7ab219945ddc854189f161d772505fb91a

Observation fb7d7674-b13d-4354-8549-b5c02217a449 · inbound

Fair Finetuning Mitigates Distribution Inference Attacks cites this paper.

Fair Finetuning Mitigates Distribution Inference Attacks Formalizing and Estimating Distribution Inference Risks

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:15.475291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T16:05:53.398690Z digest=sha256:e3b89d61a329fdf74a7f5f19fed450e870680412bf10b770c60f9ee8fda4b768

Observation 1f7ec0d0-1bc1-4b5c-8033-dd7cc8759521 · inbound

Alignment Defends LLMs from Property Inference Attacks cites this paper.

Alignment Defends LLMs from Property Inference Attacks Formalizing and Estimating Distribution Inference Risks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:37:30.285981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T17:05:19.853450Z digest=sha256:8629a18399fa45f7585cd2e858c785b90e0abbc04b5ed880b35a84eab05c882e