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Paper Citation Record · LEDGER

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2502.15725.

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

pith.paper-citation-record.v1
2502.15725 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T06:01:19.841184Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:32:33.623219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:51:08.496566Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e3a6f91-3ebb-443c-b691-95718ed4b271 · outbound

This paper cites an unresolved cited work.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.780319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.780319Z digest=sha256:cd20ca9fc0f1280a99485465d2c49915532383d0c61b4c2e8f8061d936399703

Observation 022b6e4c-935f-4c8c-add6-735e100f2bec · outbound

This paper cites an unresolved cited work.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:01:20.000656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T06:01:19.784457Z digest=sha256:d31aa6bb52908f2329d0db398804593aa72a2faa811354aea2968ecdfa8977b6

Observation 93d778bc-afa9-4640-afb6-e4e185abaf36 · outbound

This paper cites Faith and Fate: Limits of Transformers on Compositionality.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Faith and Fate: Limits of Transformers on Compositionality

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.788158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.788158Z digest=sha256:26bd00fe03c4e10c20a5ff1dff65e964e791fddb8447e464f440651054afa768

Observation 9cc79d74-254b-4637-9155-14059f4452d1 · outbound

This paper cites Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-10T06:01:19.968788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T06:01:19.792217Z digest=sha256:257c50d8a040cca248dc2e9ef3ef570fa3a842e5d3eed2353af3d2700e9842c3

Observation f7446ecc-e7d0-4678-a5ce-7c66773be8a7 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.796234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.796234Z digest=sha256:fe1c58e7a7b5eacb02e7d18101a9eac656eeb989f77a1b90f9061fb14e2b5dcd

Observation 4d35505e-1019-4cb5-94d8-7f31b87570c5 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.801273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.801273Z digest=sha256:2ac3297c30ffc42c847c36798fc33185d625802628de6196a98e944e3e07c2fa

Observation 7f76dc3b-896e-4727-a80e-88ceaad2720d · outbound

This paper cites LLM Harmony: Multi-Agent Communication for Problem Solving.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction LLM Harmony: Multi-Agent Communication for Problem Solving

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.805587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.805587Z digest=sha256:c3678de8e2770e330da35f13b0369f14cfa999019adb53308cc7fd5563cd1efb

Observation 51d2c525-7bf9-4242-abdd-8b4d5a48d07f · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.809066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.809066Z digest=sha256:ed9fa4cd47e350b0e6dfefd8950eb6bcf5b149e59de55a20f9baebb469a1e144

Observation 0280567a-3492-4300-9f66-22bc2fbeed53 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.816524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.816524Z digest=sha256:9deb0cf21bc4274e55dc10cb9b1582b3f1a4d786a8e30808e33e53044a957ddf

Observation 0d976ac9-587f-48a8-a3c3-a1fcc40424af · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.819645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.819645Z digest=sha256:b7fa7f42bcddce54ea7f5a85b1fc97564644c6661434977ec29b702ae6f004bf

Observation d358a7af-3a0a-45a1-96f0-53fda399c0a7 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.822727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.822727Z digest=sha256:33a16005c33a349b049560bef758f6ddeae6e8695e3dffede60cc362c7a94fb5

Observation 23df2544-d893-428b-9748-872a6c8867f9 · outbound

This paper cites LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.828140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.828140Z digest=sha256:e45afc3f6b65736974f0d76ee67f555683c5977f98868cb00b332b825e67da19

Observation e1e8ed92-d6e7-48bb-a709-9ae8177efb30 · outbound

This paper cites Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.831241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.831241Z digest=sha256:3fbc49d4f4304ba65f29e953e7279c9c3aed7ae300b2864db6e3186f08aa7429

Observation a272fdc5-b769-4646-a39a-afceb254bfe9 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.834054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.834054Z digest=sha256:0e56378edbf1f73e39ef6fbe971f2b084754003a13c63cb55f57eab900a2330f

Observation f5d7541b-4d50-4633-939a-77522c015907 · outbound

This paper cites online" 'onlinestring :=.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction online" 'onlinestring :=

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.837406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.837406Z digest=sha256:cb848b71212833ea8b2ebc58eac6c869a28afb11f68e9600a0ce5541a9f61113

Observation b04b28f8-7dce-4f93-898d-c8d52c12452e · outbound

This paper cites write newline.

Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction write newline

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T06:01:19.841184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:01:19.841184Z digest=sha256:a4380f536ac1f7d9aafe2ad686547e0cb359c40d9d8dfa8d40e0b97a6550dbb4

Pith citing papers

Observation 4f9d801d-1107-45a4-b701-68a990edf4a6 · inbound

When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning cites this paper.

When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:51:08.499735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T08:50:53.486588Z digest=sha256:6ff5f3eecaeacdafcf9700d3968415ddd351cf2f424eabba89037310ff1a8850

Observation d8adb09e-7bf3-4082-bcea-34cce2c3d97b · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-01T00:32:33.623219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:32:33.623219Z digest=sha256:bca9b1695a131ac0f0fce0c136f074e0b475366953357ef07641ba0830926621