Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.03803.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:28.573205Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T08:44:27.903838Z
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 a388e592-9f97-474d-8675-843e9eb2991d · inbound
Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek cites this paper.
Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:58:28.573205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e2dcaeb-ed74-4b5d-b31d-efab22418ace · inbound
Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity cites this paper.
Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:15:37.256994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48f28ba3-5e4a-403c-94ad-4edbdfe2e782 · inbound
Defeat Devices in AI Systems cites this paper.
Defeat Devices in AI Systems What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T08:44:27.905279Z
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.