Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11149.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T21:05:08.763262Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:37:32.813331Z
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 0d7bc8fb-06cf-475f-9fd4-bd11e90fc7ed · inbound
Position: Contextual Integrity is Inadequately Applied to Language Models cites this paper.
Position: Contextual Integrity is Inadequately Applied to Language Models GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:05:08.763262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbfdfc53-e9ef-4cc5-a835-1b4a994e05e0 · inbound
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning cites this paper.
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:37:32.892279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.