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Paper Citation Record · LEDGER

How Far Can We Extract Diverse Perspectives from Large Language Models?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09799.

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

pith.paper-citation-record.v1
2311.09799 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:25:21.252235Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T14:37:53.530959Z

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 2506ac65-5c4a-4e3c-91a0-09b2a4f43eab · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment How Far Can We Extract Diverse Perspectives from Large Language Models?

Reference 209

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:37:53.532641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T14:37:53.279275Z digest=sha256:ef6fe27aa549d2d1a54c62391db09c36993b82a92a655a432bed4855743c9a89

Observation 50e66f77-b992-4b2c-86b0-226379d2ca10 · inbound

Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions cites this paper.

Truth Sleuth and Trend Bender: AI Agents to fact-check YouTube videos and influence opinions How Far Can We Extract Diverse Perspectives from Large Language Models?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:25:21.252235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:25:21.252235Z digest=sha256:3922ea98f0bda4e3a42761b94a6916cd50e4dbcdc3625e813cef889c20f738c7