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Paper Citation Record · LEDGER

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 2 inbound Pith citation observations for arXiv:2505.08532.

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

pith.paper-citation-record.v1
2505.08532 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:07.710052Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:23.798999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:34:19.318626Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43dc03a2-4ee0-4864-8b47-ceea044e770b · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.366389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.366389Z digest=sha256:94ee7811f66c11e1a40444368a8138dfeaec07601fa32b0db9ec84626d92fcbb

Observation 16d46385-8e87-4686-8ada-29b2e25124bd · outbound

This paper cites 2013.Debate and critical analysis: The harmony of conflict.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News 2013.Debate and critical analysis: The harmony of conflict

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:08.775037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.371613Z digest=sha256:8673425af9e8a709d4c9d4dfb5f6044ded80fb5519660df022c17611ba5b5d2d

Observation 096cb5f7-8890-41aa-9582-c39ac23d521e · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.759425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.377954Z digest=sha256:389a02baefbbea2e728522ecf449316b23542517d1a5bc8ac706011058aa232d

Observation 08e5753a-8409-45ee-be6e-e7b5ba1fbac9 · outbound

This paper cites ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.383008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.383008Z digest=sha256:a5f2a453a36312a7947a7f55021b9b10cfdb3c55e6947af4e2800ce3d072e0f5

Observation 23ea1fb1-faad-45c6-ad19-bf387c2fc982 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.745319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.388000Z digest=sha256:57192cd1a8d8ec5402935f3c6dadfe511cf1b5cf4589f37a8e6de84aedb95644

Observation a2d04dac-542c-449d-9d9f-5971f1d62a63 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.731341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.393178Z digest=sha256:7c3e3e5f4777c14610bb59df53a3440c0c527ce46c91df7eec33d95d30306d9f

Observation 98ca59f7-400d-49c2-8a13-60091dd7b407 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.398367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.398367Z digest=sha256:bbe99af15f561e2bcf8fb8ea184c84166a8ef1c41b7839bc5e30aba7f157af7e

Observation c320419e-ff0b-4262-ae5f-40337adc77bc · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.716554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.403356Z digest=sha256:e483a88c368c992e37eaf89122a9ed8fef420cd8a2ac9f721da69c87fb5d3d6d

Observation d8bee981-7e7a-472a-9267-4d7c24a4baed · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.407789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.407789Z digest=sha256:be78437b2ecf8be382f3a110cb8d9301c5ae6a3000e13a3771396ff1df54145b

Observation ae172db7-20dc-4340-9b29-89a9157e8e33 · outbound

This paper cites The Llama 3 Herd of Models.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News The Llama 3 Herd of Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.419597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.419597Z digest=sha256:f99b49a216a4b2befd024e5c18b3f8374ebaee8dc8c9682a1b9aeb6651c724ab

Observation 03386d27-3730-4fe2-9b72-1e7fffbe4937 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.690722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.424975Z digest=sha256:71d0a77e5e7b70d559b7401e6c681a5f911b8096309055084cb31d731355fcc8

Observation d332489b-3f73-4340-aee2-9ff9f09e72f9 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.674437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.430589Z digest=sha256:fa3471c5256943f9ba0079ca71c7ce7855b5ea79a0a41f669bfb85041a34e54f

Observation df50c72f-2f59-4f39-9b58-25e5808bb313 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.659328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.435553Z digest=sha256:912b5ce64c388757a3509e45d284f0d98edd4439acbffeba47624230280dd01f

Observation 5cc6e84c-ef22-4be9-92cb-4f7b83ad1d09 · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.446549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.446549Z digest=sha256:ffe5719f543aa1d42d9a65821d0ffe2e289702297d7f77a9ceb3bbb253dd3549

Observation a0def87d-353b-441d-9136-3da61baafa78 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.628525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.452373Z digest=sha256:fceade6a1d1052e1f7cd44011628d9a637336ee1727c804457ef41b6d8ec3fa8

Observation 51b216a9-9d3e-417f-8d71-6ea1e4235ded · outbound

This paper cites Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.457058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.457058Z digest=sha256:1710c8c9a94ff62a4eb48156498b53ec419e26564de9168775b76d5518899339

Observation ff91b7ea-fefe-4636-a74c-a402fce1100a · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.462409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.462409Z digest=sha256:7bbfe7c51307577350836870137acf7ae9dd9c7f6a8bd914cbb1872f90a37a46

Observation 7fbdfce7-312a-4e2e-8470-d7f05625852d · outbound

This paper cites Lyfe Agents: Generative agents for low-cost real-time social interactions.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Lyfe Agents: Generative agents for low-cost real-time social interactions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.466965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.466965Z digest=sha256:4fbff569195f4aa851d696f1f2935747f886bb4736b5fa90e9b391bb1e85e66d

Observation 122c4148-8914-4e7c-ab40-2fa4668a5f1e · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.603678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.471567Z digest=sha256:f533d56c14d8d93cab36bc08df9a35fe91a006984bfd7ba326c96b001ed49b16

Observation 3a81573c-70fe-4d84-a821-9a71c1c687c8 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.587887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.476601Z digest=sha256:9972df17536e67ab4cb49d908ffe0f557ae57a7f910cf71af569687fb7e64dea

Observation 14f91acd-2201-483c-9139-f5e28d8364cf · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.572107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.481879Z digest=sha256:0ca0f8d0d39e849f6784d2251956df969884f4046d8024c20f6baf964a0df074

Observation 82eb874a-be90-48b9-89ec-256de25a9359 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Adam: A Method for Stochastic Optimization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.486982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.486982Z digest=sha256:3c35e2545ba97dffa08dc68e77cb7a4cbd20ca7dab9eb51aa4e6d9991679683f

Observation eea46535-1711-4a79-be6b-2a17f8e6fc82 · outbound

This paper cites Quantifying the Impact of Large Language Models on Collective Opinion Dynamics.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.492163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.492163Z digest=sha256:4634f60b5a69183d06e67b54a8941b593c295dfddb0fa43cd5dc569e64386979

Observation 578b74df-d7d6-48f9-911e-d60df6f6cdf4 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.497992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.497992Z digest=sha256:3a4c1ca360b2a41dcbb293f5a12fd3df4e810f1b7e56d7759de16c24e35d648a

Observation 1ef6ad3c-174d-4cd8-b289-4d4261eaf52a · outbound

This paper cites Large Language Model Agent for Fake News Detection.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Large Language Model Agent for Fake News Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.503462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.503462Z digest=sha256:e14d6b4430ebd2fd650f6cf896ba7f34c45f85de2d123b66c6fae0df692bc22c

Observation 7bbe76cc-6bba-477f-801e-f733032baf23 · outbound

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

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.508673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.508673Z digest=sha256:ac71c179a7be06845bda81e4d44dbd36b9a16734bf4e95f68a8517b5c36f8a3d

Observation ba490a4f-4876-4d71-87af-8938b93f2c1e · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.545733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.515123Z digest=sha256:5d597b6cecf3190a179da11cadeffe336892f2ac276439aea8281e32bc376768

Observation 3b7f84ec-2e50-43b7-ac32-b8b5f592155a · outbound

This paper cites The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.524815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.524815Z digest=sha256:397977949f3557d0a04d812f178da4c7d2022e1a1c234099a96cf3502ee79487

Observation 7a15dccf-4f4d-4f25-bad5-bfed1db9e3dc · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.512885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.529984Z digest=sha256:b3c382e68d0b63f8a48072771ff256b2a5c9abfa6c3f166c5c210831b45929eb

Observation 259f1074-7303-48f7-9d73-ac59b02755b3 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.535909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.535909Z digest=sha256:b7eee34eac44e5f3ee1cbf5b66a7d1b240c04b39ea5a413412bb6ad16bfbdbfa

Observation 33a415b1-0534-4303-b940-707d60467983 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.497183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.541337Z digest=sha256:9254efb1da8b57424c7d03339f837712db8a402e50b9396f604498d51ce04291

Observation adecd5a2-be35-427e-b9be-793311504de3 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.546155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.546155Z digest=sha256:292477ce80d0d570d943e329fe99f117021a06803ee75e8db2659d1928148bba

Observation bad536f9-c674-4b8d-b509-06f103363ffa · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.550900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.550900Z digest=sha256:4e284daf97ed4bdfb0a5c090f62e03a0b0d63d7e9f159b26c53640dd6639ee7a

Observation b63277d7-ef55-45a5-a2b1-174bca376826 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.555436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.555436Z digest=sha256:39a6c55c4b43c9cdf49085cef46d22c00f9928eead687b662029bb48aecf4665

Observation ef8e1b2f-831e-482d-b35a-2b0929899075 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News ChatDev: Communicative Agents for Software Development

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.560066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.560066Z digest=sha256:fd426a145397276dfd96d21bd63922bbc260e0e45694d50e37a179a551de69dc

Observation 4b43597b-866e-4272-9ad2-ae03228a5688 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.452275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.564662Z digest=sha256:45901b39ab753b51e612ba31f57c97d1d59f0260a5eabba9e81c446745b3bcc5

Observation 9dd0b6ac-ae83-4214-bab6-a8ba54cf2feb · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.437273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.569954Z digest=sha256:ebc9edea3ad31fa9699e32e4e5606f2d25fd1ebd0f26ab1acb9e37ba5fec8d34

Observation d249f332-c0d8-40dd-96ce-654ecb97c88f · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.574870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.574870Z digest=sha256:00dc60fad315d3a5444c74551cf9d28967fe08ba0865d2c24bca0a0199b55e5e

Observation 314240a4-fd7b-47ae-b085-14c51791f75a · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.401303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.585540Z digest=sha256:bfc631606910702e38b60b4bbf9e66b9d0a4e0232bf13d0a2b5d7bd72bfe6983

Observation 75bc4fb9-d684-4a7f-a753-682adb030a70 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.384276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.590462Z digest=sha256:709278e2115b8182079313c72e8c355c9bc78323fc85d56b851f37caa2c23eaf

Observation 6981405b-d420-4711-9b2f-b4fe94302a08 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.601300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.601300Z digest=sha256:2f8993cce7b4082968621410b83763126b7f0622fbc81fca2311537dbbd7c2b3

Observation 4efdb9fc-38b1-4588-baba-51e029c79f35 · outbound

This paper cites Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.606907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.606907Z digest=sha256:401b0d916947799a5d02d15c21902e2ca8b3caad64782cf506c43fbd23f6560a

Observation 8fa7475c-54dc-46d6-8d2b-7ed86fea12a3 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.611649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.611649Z digest=sha256:667b424fb5f28221de063187015901136d62c6a2d6d1e7d61c3d2ce93e19bab7

Observation 282d25be-ec2b-4e93-bfe6-1ec4a16f47a3 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.616232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.616232Z digest=sha256:f06d13befced4df526759c77a4576941c47711c2f797aef3eae1b01968363f3a

Observation 3bb03587-1456-4e4a-84a6-f663c4c9bf1a · outbound

This paper cites Foundations and Recent Trends in Multimodal Mobile Agents: A Survey.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Foundations and Recent Trends in Multimodal Mobile Agents: A Survey

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.620565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.620565Z digest=sha256:26c5a057eddee40ed2bf10a066f3d02ed4b02f6367dfe8bf0b384f0d3b08b175

Observation b26ceeae-a6a4-4320-836f-7fc5273c9527 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.625739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.625739Z digest=sha256:94b161fa08fdea689a8245d5df52404e5d937260e430635d0e9535333094c2d6

Observation 6e101de4-bf42-49fa-a8b2-d4dec4bc01de · outbound

This paper cites Small Models are Valuable Plug-ins for Large Language Models.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Small Models are Valuable Plug-ins for Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.631061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.631061Z digest=sha256:4732963b022e17b8a6b47ad238334e9f9953ebff78b66c28a824c6fb0cafc6f1

Observation dbfcd92b-e632-461d-a483-533a6826229f · outbound

This paper cites Qwen2.5 Technical Report.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Qwen2.5 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.636226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.636226Z digest=sha256:24f9f55479672773f634754f1d453814c17be1c56e42cf49b894457e807b4b6e

Observation b1a185f8-74a5-4de4-b5b7-f4c380fd9888 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.332384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.641173Z digest=sha256:364cda4a8d7a552d56f7d7dadd591de5120961a1a339f179309eabde22ccaf9f

Observation d5bc194a-282a-4bea-a1a9-66dac5a8aa4e · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.317204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.646031Z digest=sha256:e6ac8a6ee44fe6631cbdd5ac9d5a4ac8bc4d57e5384add08e656a4fab0fe9751

Observation 54db28d9-a913-4c09-b3d1-aa55ebdcd649 · outbound

This paper cites Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.650524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.650524Z digest=sha256:00b0da9c4a337cd10766fa5e1c930653152483de74c72c060f3c10a0e224b071

Observation c3d792c6-1470-4b68-8244-e6179c24c0a2 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.302823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.655690Z digest=sha256:19b56d7991b887c4fd35317963d4f8dffc4342555a1de2b5829a5112a7151146

Observation b6a524a6-c41c-4406-b759-8582a554b93b · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.666041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.666041Z digest=sha256:adda4c323e9aec032e7f6c86e4347d38ef66f1b39a47e6db630d151b5f085fba

Observation e79153b4-0177-4494-b922-ab9125fea22a · outbound

This paper cites A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.670861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.670861Z digest=sha256:de0b870f34b49deb75f05d46cebe05c8da8c89b140eba97e361356ef9ea8414e

Observation 7f5c1063-689f-4a63-b1d4-c258d7112bb5 · outbound

This paper cites SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:58:07.784649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.676515Z digest=sha256:7f1d0801155bbe1361168bdec14c12804ed8093a41245a2f93c4b074033089a0

Observation 14073cf2-6be9-407e-9b56-5614c0f3be6d · outbound

This paper cites Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.683838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.683838Z digest=sha256:ed069a0727d1f152a1f860cb4f1e04e2cd0cdd850ec3010e09b99acaecd3b019

Observation c73c226e-5630-4470-a428-43efbf3701e9 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.256066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.688841Z digest=sha256:cc91208fb7764e14fe829d12476786695139ec95419b18c911cfa715274e1c93

Observation 76e0aa71-0302-4c8c-9f6d-4a70d212a6fb · outbound

This paper cites InICLR 2024 Workshop on Large Language Model (LLM) Agents.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News InICLR 2024 Workshop on Large Language Model (LLM) Agents

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:08.287383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.660655Z digest=sha256:3ec6da552706986999e788c05f58e90473eb60da84766b9daf4d4af31303be76

Observation 5173f08f-110a-4d13-93a5-8f5623311cbf · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.223934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.698650Z digest=sha256:04f06ac65d31a7c3cd9f489e21fec43b608afd8f93a2a0342ef6d45926ce753d

Observation 39022579-60d6-41a5-b4d1-c7ab9c58dfd8 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.208040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.703924Z digest=sha256:40dcd8d4b8a0706999fdb434f87e2fbfc6578f36f0aaaf85e2e977060ea3a6ce

Observation b0d4c8df-79c6-4d59-85bd-132b30e7f97a · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.191176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.710052Z digest=sha256:94573a310fb8632f4fedae1a7f0371aa58cbca38ae68fe71af8813a1a660312f

Observation 665d2e52-284f-47a6-8ad5-4995719661da · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.239875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.693290Z digest=sha256:b002769e85c7a5681669bb0ab903d9956ca2404d412f380353a697445ccd50ab

Observation bcac5419-cec2-47ff-8fea-b4f3fa4fa833 · outbound

This paper cites InProceedings of the 22nd international conference on World Wide Web.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News InProceedings of the 22nd international conference on World Wide Web

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:08.643509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.440810Z digest=sha256:fa30a2192cd1338bfcf0200bf55666990c9cd72e219078aa91a01e9b978c1328

Observation 95c4e3c3-5fc4-4cda-b8ed-e3c7102b11ce · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 2014

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:58:08.368104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.595639Z digest=sha256:a8d72432db8e0edeb95a6c7f696680a51a6e88fc811dbed269c799f6910feec1

Observation c9f42f50-498b-45a1-bdfd-08d8f48e6d41 · outbound

This paper cites an unresolved cited work.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.580055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.580055Z digest=sha256:5e44600f5297978a8697016678e7654bd1842dd4ccc2e37bc4a105471c632916

Observation 2daec955-168d-484d-9ade-63568f08a51b · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:07.412747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.412747Z digest=sha256:6a7550f678716b9363d6ef1bbdffa54f05c7b5d1b84c26981e100baac01e8888

Observation f50ace1d-c36c-4e47-9867-d4c74d8f1f8b · outbound

This paper cites InProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News InProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:08.529964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:58:07.519991Z digest=sha256:83e43da2532a73ede041e2fa3a677fbb7396aa09b73638c2500e80c528e4e112

Pith citing papers

Observation 6523142b-4c43-4f4c-9bce-1b8652e7d555 · inbound

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution cites this paper.

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:23.798999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:55:23.798999Z digest=sha256:4c88b41e6e71f0beee64cd475fc6037f6ead10026b6b353c13c8db7495a15781

Observation fbfe1e1e-7fb9-4aa1-8370-ee7867283a75 · inbound

Multi-Agentic System Leveraging Open-Source LLMs to Mitigate Disinformation Threats cites this paper.

Multi-Agentic System Leveraging Open-Source LLMs to Mitigate Disinformation Threats The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:34:19.319788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T06:26:50.949807Z digest=sha256:90631bc3583089d35433c060729af2b29cf556c6f0fc067d85ceea121f2056ba