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Paper Citation Record · LEDGER

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11149.

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

pith.paper-citation-record.v1
2406.11149 v2

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:07:36.324514Z

measured 0 of 1 external citation measurements

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.

source=arxiv_source observed=2026-08-09T21:05:08.763262Z digest=sha256:19d911f4355dadb126ae9913f66d351c81d451e3d6a15c445db970e4eb52f124

Observation 3d01d73f-05d3-430b-b671-5d6b08f7ad2b · inbound

A Survey on Privacy Risks and Protection in Large Language Models cites this paper.

A Survey on Privacy Risks and Protection in Large Language Models GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T04:07:36.324514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:07:36.324514Z digest=sha256:c7bda09796c5ffa1ed9e6e85d6223db2f6f6413d0b24c301a0f1eeaa0225d19a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:37:26.009555Z digest=sha256:3bd84d8cbfb8013d46bb97848cac433a51d335fe53c5f4357647afa80c9ba416