Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.04556.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:21:57.527250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-05T10:50:57.611561Z
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 45f37374-77ba-4331-aae4-591c977c88b4 · inbound
Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.
Informing AI Policy Assessment using Large-Scale Simulation of Interventions Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-07-05T10:50:57.614385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa15cdbf-e97c-4522-b927-539e166c45f3 · inbound
Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.
Informing AI Policy Assessment using Large-Scale Simulation of Interventions Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T18:57:04.042048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49a6892-9faf-4d0a-b8c5-e20128a79a94 · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
Reference 161
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T18:42:29.273745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9c83a93d-9b3f-4ef1-bb8c-46183a990267 · inbound
Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents cites this paper.
Can We Steer the Black-Box? Towards Controllability-Centric Evaluation of Recommender Systems with Collaborative Agents Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:17:51.480479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b77439c0-9b66-4ce7-9fda-ae076a345328 · inbound
Agentic AI: User Empowerment or Foreclosure? cites this paper.
Agentic AI: User Empowerment or Foreclosure? Auditing Recommender Systems -- Putting the DSA into practice with a risk-scenario-based approach
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:21:57.527250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.