Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10614.
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 2026-08-09T19:30:28.652139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T23:48:27.199348Z
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 a3ea76c8-1735-4df1-acc8-ab63b4216bf9 · inbound
MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections cites this paper.
MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:30:28.652139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f07c343f-7ef6-426c-9bf5-c0c306999d95 · inbound
Revealing Political Bias in LLMs through Structured Multi-Agent Debate cites this paper.
Revealing Political Bias in LLMs through Structured Multi-Agent Debate Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:07.802030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21c751dd-33c5-4377-a1e2-30a38d9b585a · inbound
SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.
SGIC: A Self-Guided Iterative Calibration Framework for RAG Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:52:42.732053Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccbe2c9a-dc73-47ec-a736-5bc8d38b92ba · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Reference 186
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:37.149911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 428adbb4-50f5-49f2-bcdd-a04096a52568 · inbound
Computational Hermeneutics: Evaluating generative AI as a cultural technology cites this paper.
Computational Hermeneutics: Evaluating generative AI as a cultural technology Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:48:27.203335Z
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.