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Paper Citation Record · LEDGER

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10614.

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

pith.paper-citation-record.v1
2402.10614 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:07.802030Z

measured 0 of 1 external citation measurements

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 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.

source=arxiv_source observed=2026-08-07T04:07:07.802030Z digest=sha256:5e3afe27eb6cca5d4f4eb02b6b33b0daa5b0c3f9a578735d68a23a82af4bd6e6

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.

source=arxiv_source observed=2026-08-06T23:52:42.732053Z digest=sha256:d99b05efff843821ae910b2f859bd0423e144727eecb6f445fd15c1b5ac4f44a

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.

source=pdf_text observed=2026-08-06T21:36:37.149911Z digest=sha256:bfca22d951d6bf73f818e3bccdae32327db4cfb68340e2191b7f1b41e1164f1c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T23:48:24.354896Z digest=sha256:b5e2c7aa2c7be324660a5b4d98562860172f1aa3ee6626ec3892050167ed00f3