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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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.371613Z digest=sha256:05070d7bbacfbac87bddaf2482be40cc0751c3cb32c582cb3074a787b2b06657

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.377954Z digest=sha256:7e499de777c180fcbe27d93475e18f9cadf3912f977d466743272b2de09cec8f

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:b8b9a9854fa382c9fcb715859d760235a2883f48e6455e2818dd9c516bf95684

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.388000Z digest=sha256:3a51b9479438f218b375845ba2d4d2f7c4985cf4d38cfbf32202c11b7995586d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.393178Z digest=sha256:994239224c0951a4898ddb4d760df3b3767423d027768bd1a1834633429a5a9c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.403356Z digest=sha256:ca7e9cd820d23acedc9a37e5dd5752096d681b24726427e17ae67a3b2955e692

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.424975Z digest=sha256:ccefbb817b506871e37fdebff6bc4f7d305e5944e322099287e2e442b87c5aef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.430589Z digest=sha256:abb1cf5b90b6e3043d11a2b5e623f735088dc4c554049a24ae3204cd46ec27ef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.435553Z digest=sha256:b18316b88f327fba7a6c52415bda4e97873f8e840eadc4696aa8b0ed7b699746

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.452373Z digest=sha256:14ede82ef89202c493313fc182d34c71c8457337c8d340ff59e1db45d75e4f03

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.471567Z digest=sha256:fe2a7366a5dfdb6aacfbf4281ada6376c36a77458629a96aadea3148e8c4bc8f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.476601Z digest=sha256:c887a38bec3abde35fbd2cf127301213694765501676e935662f487d81738406

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.481879Z digest=sha256:43f1f3681b33142c76450bb056ddec7e0b318f51ae2d251b87ffba00d8c63c58

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.515123Z digest=sha256:bee3944f764a492475e56dd95d9c5c69b88123d9567577675eba3463e42aa2cb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.529984Z digest=sha256:570bff3f1d7a3fae07775b5f6da22e45f965a9ab038ca2cf44301e422b68901d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.541337Z digest=sha256:76112b0d3df00f9498abf8e79ed33eae086bb2dd5c899b483bd6eedbcb47a6e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.564662Z digest=sha256:17e5fa11810e839acdbb2088d5952665938ce6ea6d4910e2da995ea8e44a55cd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.569954Z digest=sha256:431a84a89fccd265c663003cbb6e06927295b14b58d227c782c42842ced2be5a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.585540Z digest=sha256:c22ac80bf54aad80dca94197e2d564333a73e3b86c48cf2d85bfe1b4d1114809

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.590462Z digest=sha256:6170889ae25b9c2267a9a5233bac1be73edcd422ea994b023b85214f43f939f3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.641173Z digest=sha256:1cbd6285959c45ac4fee146c446a63abc46070d449203e287a18b2910f678ab8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.646031Z digest=sha256:cebc30de14e1823f2c8364d26fa9821fa280ce4393543e72fbeffa2f69085752

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.655690Z digest=sha256:d73bd30058fe26ec05cc4f2cb2025bec0dde5c15901923fbcf6047f475038568

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.676515Z digest=sha256:ef27e29ee8e49158f2dc4e29b0a9c3c9e17d40658dae53d823f8544fd80345bc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.688841Z digest=sha256:6b9e9ba206cac9f06edf53931e65cf6e02d5ce483fcfb20ae29e90bd8b416502

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.660655Z digest=sha256:4a8aa7e15f6ce16c38e7c96a9fa770a9ee0fcad1718bce1e06cfadaa5fb1de62

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.698650Z digest=sha256:7a8535e892e0baf9462b36e7eded3581f46b90ca79d3c755a4a33017c7e462d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.703924Z digest=sha256:0a581e0ee16872d8a80280d7399ebfa0bdd15ca62203d5e5b5d43858e9c0d928

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.710052Z digest=sha256:d496b4a843b5a41daf7ac2b15540bc817e6ee32163b9b46899d9ed5fbb275f30

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.693290Z digest=sha256:2e3f88ddfb544e46cae954bef991e5bbd1b8bc334324311bf46bc2c939bb9b11

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.440810Z digest=sha256:4cfb7e4f74269eb5fe826a2d9255952b1e8ef9a2addfe632249f34374280511c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.595639Z digest=sha256:d7e3ea4edf31eaf904d6a6e325d54509dd4f7fd1df379973adef9a90a4c047e8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:58:07.519991Z digest=sha256:6ee79b49a0897c4d3398fc2965ab17faacca99200fe32408ef39aa0482101cc9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T06:26:50.949807Z digest=sha256:bef6ff5197d6241a5f6c36766ef715166b89b0f3816c48192fcfdffdd664b883