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Paper Citation Record · LEDGER

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash

As of 13 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2411.10422.

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

pith.paper-citation-record.v1
2411.10422 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:42:17.363740Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T16:09:08.317910Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 116c42f4-f7d5-488e-99ef-2f8397a86086 · outbound

This paper cites online" 'onlinestring :=.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-12T19:42:17.186933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3d0b6397-2d43-4381-9a8a-9b28b42c233c · outbound

This paper cites write newline.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash write newline

Reference 2

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no resolver link, observed 2026-08-12T19:42:17.192238Z

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source=arxiv_source observed=2026-08-12T19:42:17.192238Z digest=sha256:df43efa48023b1bdd889b54f45645e20810971374f9d42db892bd9e3269e090f

Observation 2010968f-5697-44a6-9236-92b137635d78 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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no resolver link, observed 2026-08-12T19:42:17.197392Z

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source=arxiv_source observed=2026-08-12T19:42:17.197392Z digest=sha256:fd3daf76e0d25ee5ce5bf5ee6af48c45aa1118f65c00bb0233234fbc615dbf91

Observation 87b357f7-f394-4b4e-962e-ba543590e99a · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-12T19:42:17.202648Z

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source=arxiv_source observed=2026-08-12T19:42:17.202648Z digest=sha256:8ecd3d45c55147a67ff58571be0f9ba8bbee3b2f0aa2de0979865ec1e4e94cf0

Observation fb73b7f6-713e-44a1-900d-51f0d053ab0d · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-12T19:42:17.208102Z

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source=arxiv_source observed=2026-08-12T19:42:17.208102Z digest=sha256:a8c4730f2a0a088823d49621249b9a5039780d51fceba4d819228308407d674d

Observation fd6d3586-5beb-4c5b-9938-bd3790d629df · outbound

This paper cites Humans or LLMs as the Judge? A Study on Judgement Biases.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Humans or LLMs as the Judge? A Study on Judgement Biases

Reference 6

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no resolver link, observed 2026-08-12T19:42:17.212896Z

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source=arxiv_source observed=2026-08-12T19:42:17.212896Z digest=sha256:71ce665ee4a5fbc1657e31d1b87f723f61e2950ec7b1d313fc9505a04a653e6b

Observation 05479979-34fb-4085-b606-901ca10a698c · outbound

This paper cites Self-collaboration Code Generation via ChatGPT.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Self-collaboration Code Generation via ChatGPT

Reference 7

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no resolver link, observed 2026-08-12T19:42:17.217783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.217783Z digest=sha256:e17961167003269365205d2db1f38b8756a71a970e0dae45775a0aca6d42a0b1

Observation d067a87e-b6cf-4e8c-8b71-318738b4de39 · outbound

This paper cites cat-shaped mug.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash cat-shaped mug

Reference 8

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no resolver link, observed 2026-08-12T19:42:17.222987Z

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source=arxiv_source observed=2026-08-12T19:42:17.222987Z digest=sha256:15f5843f11a39970b9953742f7f8438a1490594938cbea0171dce25bda67101b

Observation da98f6d9-09a1-4241-b22f-6fb044616135 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-12T19:42:17.228988Z digest=sha256:b5ecbbadbce77aa1872d470cb694cc08f146f8fa41ff17f78253cce292dd7eb5

Observation 02542872-cab9-47a3-9794-dd00356fa1d6 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-12T19:42:17.233778Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.233778Z digest=sha256:7476b167c14fde955439fa27ff9976bb8a177eefd47657765a29d0cbf91e936d

Observation 916f2695-7b14-47e2-9fd7-407b4a784e0d · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T19:42:17.238755Z digest=sha256:4a9c13a4256b952ff6eeacfa43547d8d927a4f878cd86a35f42d73ac95bc5208

Observation fea3474a-4700-4ca4-8364-b592e8bdcf74 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c3a91d01-e6c3-45d2-ab68-ff4bd5601a01 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 13

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no resolver link, observed 2026-08-12T19:42:17.247628Z

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source=arxiv_source observed=2026-08-12T19:42:17.247628Z digest=sha256:e1fab24018de472855bd74730a53ac0af5775c39a2dc6f0a29f5403dbb06657d

Observation b582aa00-8ab5-4632-8efa-31ad2d36387e · outbound

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

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 14

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source=arxiv_source observed=2026-08-12T19:42:17.252302Z digest=sha256:caf93720110de1673e570c25d75fe04d33caecfe9b1da302550345dec28ebaaf

Observation 12f21751-ca6b-4f80-b391-9e0daf0a6638 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.257359Z digest=sha256:e4da0f6b6ff106745023d4a915e8aa233c575c1e15da1bd887d9267cc880d1c5

Observation 56293c45-6900-4476-a892-ac7a2cd653f2 · outbound

This paper cites Mistral 7B.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Mistral 7B

Reference 16

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source=arxiv_source observed=2026-08-12T19:42:17.261386Z digest=sha256:9bd7fc282d0858c24d57767b54343677c8f63a2552540c081f48822c63336ebc

Observation 6e3d5e00-c925-4b23-87f2-8405d686a1d9 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-12T19:42:17.265990Z digest=sha256:e2f7bca30761417bb49cea7ef4f4d9f098000e76ef278e8f9a53036980fa9920

Observation 75876134-37de-40c4-b848-f64b2c04bf67 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-12T19:42:17.838002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.270861Z digest=sha256:a658c15b8dcdc7be54aefcdd83da94122a2820a188f4ecad752677e3172bbfc4

Observation f8e3320b-f498-4d32-bffc-bb6ff7a26a0f · outbound

This paper cites AvalonBench: Evaluating LLMs Playing the Game of Avalon.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash AvalonBench: Evaluating LLMs Playing the Game of Avalon

Reference 19

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no resolver link, observed 2026-08-12T19:42:17.275362Z

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source=arxiv_source observed=2026-08-12T19:42:17.275362Z digest=sha256:c359872e68c5999b627c9979e6cca45ebbdd2068f221ea9cdac2112527a9d390

Observation 66c4bb80-42d3-440b-a014-841e73c8c53e · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-12T19:42:17.825310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.285558Z digest=sha256:c8374f8d370f9447bb0020c11ef618844b28b4e4208e803dd34d9e8c2c5dd09d

Observation 55a43288-9fb5-4afb-8979-e9243eeacfd9 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.290142Z digest=sha256:87a56bfb7afac8838cf87d2ca0388a80bb6bd689effe9ba245f5bfe15318b6a4

Observation c8afa919-c4f8-450f-82aa-af5a9e9e4670 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.294539Z digest=sha256:e42e6572ce566c8c570bea7813fa5f3401a4e56ae806f78aa0e5047f29dc04e9

Observation 7636d0aa-b5cc-4ca5-9364-19189a151253 · outbound

This paper cites GPT-4 Technical Report.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash GPT-4 Technical Report

Reference 23

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no resolver link, observed 2026-08-12T19:42:17.298701Z

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source=arxiv_source observed=2026-08-12T19:42:17.298701Z digest=sha256:82183c7df1deec3125dfdb8b69a7ab8e47bc124d7ebe0e6e2020f8450f613ae0

Observation b098661f-f4a8-46a7-b0c3-a8f280e95fb0 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-12T19:42:17.784358Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.303195Z digest=sha256:908d342daf3e9ac249982a3471b47d6c35238baccec4d8723d00a6c4f991fc12

Observation 18657b89-bb84-4217-b4d5-053a32cadff1 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4f2ef623-f612-4a0c-8df1-69cd1358451e · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash ChatDev: Communicative Agents for Software Development

Reference 26

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no resolver link, observed 2026-08-12T19:42:17.312843Z

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Observation a8136f8f-ee38-48c9-a977-ce7d5f123b7b · outbound

This paper cites TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models

Reference 27

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no resolver link, observed 2026-08-12T19:42:17.318299Z

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Observation e61e74fd-183a-4260-891b-75f8b6360ff9 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-12T19:42:17.323177Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.323177Z digest=sha256:018533537c9c9d4f88bc2153d9c43007d9c346f5f8c2a7375acc6eed31b46ed7

Observation f4ce5e44-0e27-44b9-99ea-cfd479e1d704 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-12T19:42:17.759352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 269516ad-b640-4c65-b0e2-71d0f6336a90 · outbound

This paper cites Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.332574Z digest=sha256:f9206b623e372a4f8068cfea65505a7dad723d47cbf726a4d0d7ca22102d8fa5

Observation 6729aa77-3922-4504-b16f-41a00eb99597 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 3890b1f6-d4ae-4140-962d-4b168f7fc634 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-12T19:42:17.342264Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.342264Z digest=sha256:238c5f638956f9e8cdc4ad1713f8dcc30e8378423695878af9f2ca71a78bbd84

Observation 2d690fcf-ff16-4967-8ef2-b0fce1ca3ac8 · outbound

This paper cites Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Reference 33

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.346384Z digest=sha256:407f3cb04ded771ee077e1f06eede1358f8f2cfa7e8c61f48fa102d718cdee22

Observation 7d8e9d29-2f04-4565-b9a6-9cef19fcf6f9 · outbound

This paper cites Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.350717Z digest=sha256:b3da3f70aef896a2d5984c6fde45237459aa5061c9693579f1ab8f6cb0e8c883

Observation 0cbdec2b-8df4-49b9-bcd5-445bdaf19c8e · outbound

This paper cites Assessing and Understanding Creativity in Large Language Models.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Assessing and Understanding Creativity in Large Language Models

Reference 35

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no resolver link, observed 2026-08-12T19:42:17.354901Z

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Observation 5c1ab004-1067-4afe-94a7-194019173f74 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-12T19:42:17.359842Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:42:17.359842Z digest=sha256:0a4062a2d3d8df2f324a5711d2073fa57cfa5fa4fb6217d31e818aa4672ced12

Observation 6c7f37ee-b689-4b7f-bf91-b28618399533 · outbound

This paper cites an unresolved cited work.

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-12T19:42:17.728250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T19:42:17.363740Z digest=sha256:e22dac39f884db11b225ab1f20007b4256094a6f41b4c96b3827cf3810f5098d

Pith citing papers

Observation e1e6f1aa-8f07-45b2-95d3-14941b69482c · inbound

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing cites this paper.

Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash

Reference 171

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arxiv_id, observed 2026-06-27T16:11:02.561053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T16:09:08.317910Z digest=sha256:4e05f0eb9627a15fd619c664120b6fe48c07c105a89db7e7f6b16cda4ee381c7