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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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:bc54f6414a976eb5663400c54b5e15315f162db4e45a3882a5610b3b209dc15c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T06:01:19.784457Z digest=sha256:89a165884cd20e3633ffadcc1b8ccd66a440313fe75bd1cf63b96a279e0b6e2d

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:bf4d60094a2456c085e4dccc061f2247db0525c35ff3ac6d94dd3c2536f75090

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T06:01:19.792217Z digest=sha256:a6bef7dc0eb65bb13c6935ef6349c6be6e8e9e5f41a950c85a9e390952b9e8e7

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:b375001a5b8c62f8c536f43dfa7432f27ccbaf32a73f7468913cd130943c1dd1

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:fcc23330e0b863fa1ab5aff4a9b942ee2637ddd0c67890440f405d0390af29b4

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:d1c686d5cd04c1809cbe12fbfae772387f4ca118ccc9fbb377139f2b2e33da66

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=sha256:191067b9fab32f395a52a1b64e828c2db52296d3972ab72d4dc083137f2e5100

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=sha256:20d6c65d577e70f6a14c1faa536513e6dcbdb1f8d912ccd5579264750b5cb67b

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:b9c06d0775e60ec89ab58739afcfbe4ca0bc23eaea0adb4e07985c267afd7838

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=sha256:8bb3515533c0065a2fe53a287864f27eab7d5ea83ccecf4eb2b057ecd5c22edb

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=sha256:728f218aff3aac759e76cb863256e202b2220385cbf09d7605c4f14d5ccb1f53

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:fa8386bb823f438813a81402630251449853e5caf53e2dcbb6d0651f030d4b70

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=sha256:621442b81933f1c83f1dcb6828e7f9134d0f2f4b6611ef04e4501237696ba358

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=sha256:25acb54605c0d70425c34105101b28546cea78e9cda10e418f8bba911aec40b4

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=sha256:1b542738bd6cfff4500b4c535ec2dfe6063513374a9f3611f5006816e904e7ce

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T08:50:53.486588Z digest=sha256:68d5d77cc61c8697c42b5a3242ed0129492da3e2cc35a8e524d2188e606156e1

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=sha256:4ea24c309a19d98402be1111d8cef524f23906d9172edcfd8fa4879f3d47a693