Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Privacy Auditing of Large Language Models
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.06808.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T13:47:41.258975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:09:53.215619Z
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 1eab9ce1-af4a-494a-aa95-fe6068dd0fe0 · inbound
Barriers to Evidence in AI-Related Cases and the Privatization of Proof cites this paper.
Barriers to Evidence in AI-Related Cases and the Privatization of Proof Privacy Auditing of Large Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:31:13.827483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bfe022d4-3436-416b-b0e9-c7952a4179e6 · inbound
Advancing the State-of-the-Art in Empirical Privacy Auditing cites this paper.
Advancing the State-of-the-Art in Empirical Privacy Auditing Privacy Auditing of Large Language Models
Reference 73
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T04:37:37.051194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c31de476-8dec-494d-b15b-30583581bf13 · inbound
Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.
Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Privacy Auditing of Large Language Models
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:09:53.218323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.