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Paper Citation Record · LEDGER

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2501.15147.

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

pith.paper-citation-record.v1
2501.15147 v2

Coverage vector

measured 100 of 116 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:38:26.185343Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 116 outbound references displayed

  • verified exact3
  • verified fuzzy15
  • unresolved82
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation f693e63e-531c-4e5a-9733-f6ccf7b7493a · outbound

This paper cites Let’s think outside the box: Exploring leap-of-thought in large language models with creative humor generation,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Let’s think outside the box: Exploring leap-of-thought in large language models with creative humor generation,

Reference 1

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Observation 851a0113-97ab-4f68-9202-f5698ae3d675 · outbound

This paper cites Qwen Technical Report.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Qwen Technical Report

Reference 2

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Observation 1bfb2d6c-5793-4bbb-83b9-5d0fefea0821 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

Reference 3

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Observation e6c2f673-3314-41b0-a69f-237236a39585 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Finetuned Language Models Are Zero-Shot Learners

Reference 4

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Observation aa8d1085-5686-488e-9762-8ba761e90405 · outbound

This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 5

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Observation 0f2d322d-f4ff-49af-b027-df4b0198133e · outbound

This paper cites Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Reference 6

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Observation 8fd07f62-9133-4dcf-b8bf-65c08dad5691 · outbound

This paper cites Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Sur-adapter: Enhancing text-to-image pre-trained diffusion models with large language models,

Reference 7

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Observation 57b70ef4-3f47-4890-86b4-69f0b4f5c964 · outbound

This paper cites What can large language models do in chemistry? a comprehensive benchmark on eight tasks,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models What can large language models do in chemistry? a comprehensive benchmark on eight tasks,

Reference 8

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Observation 8c21f7c0-f61e-4e49-a174-445f2e14864a · outbound

This paper cites SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark

Reference 9

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source=pdf_text observed=2026-08-10T14:38:24.197753Z digest=sha256:1e0aba2c5dd442a7cb0f5a8791740e0d99977b0e817669f39df702f0a376d889

Observation 8d3604cf-ee1a-4841-996e-b464f7022035 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 10

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Observation a12cd912-ee17-4987-9189-f8e3bf88c4a7 · outbound

This paper cites Mmmu: A massive multi- discipline multimodal understanding and reasoning benchmark for expert agi,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Mmmu: A massive multi- discipline multimodal understanding and reasoning benchmark for expert agi,

Reference 11

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Observation a6f4690a-113f-460b-a693-5cea3edc3321 · outbound

This paper cites A Survey of Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models A Survey of Large Language Models

Reference 12

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Observation 87196cab-7c4b-448c-8442-f9bc388bebd1 · outbound

This paper cites A Survey on Benchmarks of Multimodal Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models A Survey on Benchmarks of Multimodal Large Language Models

Reference 13

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Observation d7d35ef7-506e-47d6-9e7c-e610f3aac79a · outbound

This paper cites A survey on evaluation of large language models,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models A survey on evaluation of large language models,

Reference 14

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Observation 98758eef-510b-462b-a775-07a5ac1321ed · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 15

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Observation 52838c82-7bce-4613-a54f-73b14baba0de · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 16

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Observation 6a4076e5-2250-419b-91aa-a5e446ed3cdf · outbound

This paper cites Large language models are zero-shot reasoners,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Large language models are zero-shot reasoners,

Reference 17

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Observation f190427c-c687-474a-89b9-f150b745296c · outbound

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

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 18

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Observation 08602a8d-1bb7-4a84-98da-855151bfbf15 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Large Language Model Guided Tree-of-Thought

Reference 19

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Observation 48e86568-ca9b-48a6-b3cb-1741a38ccdd6 · outbound

This paper cites Leap-of-thought: Teaching pre-trained models to systematically reason over implicit knowledge,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Leap-of-thought: Teaching pre-trained models to systematically reason over implicit knowledge,

Reference 20

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Observation 20a710f7-6482-478c-a8c6-ddba370da41f · outbound

This paper cites Cognitive science: Leap of thought,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Cognitive science: Leap of thought,

Reference 21

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Observation 2e4a3551-962b-40bb-bfce-21fb0dc6fe78 · outbound

This paper cites Mental leaps: analogy in creative thought,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Mental leaps: analogy in creative thought,

Reference 22

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Observation b2f93ab7-133a-4701-8b90-8d9d2f950f1e · outbound

This paper cites The leap of thinking: A comparison of heidegger and the zen master dogen,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models The leap of thinking: A comparison of heidegger and the zen master dogen,

Reference 23

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Observation 4036b924-6fb2-4d6d-a86c-d0990bb24b73 · outbound

This paper cites A review of mental leaps: analogy in creative thought,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models A review of mental leaps: analogy in creative thought,

Reference 24

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Observation 0584a43f-2fcc-4f9a-9366-1148bd93756b · outbound

This paper cites an unresolved cited work.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Unresolved cited work

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Observation a9dbfbe3-258e-4a0b-9353-a84d6b0ea7d8 · outbound

This paper cites Measuring creative thinking: An activity-based approach,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Measuring creative thinking: An activity-based approach,

Reference 26

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source=pdf_text observed=2026-08-10T14:38:24.537311Z digest=sha256:fb899485481c262c21fc229882a394a521487ed375ebc69edc4a67d92d25c7af

Observation 80951c42-538a-445a-835b-fb28dd052449 · outbound

This paper cites Eeg complexity and performance measures of creative thinking,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Eeg complexity and performance measures of creative thinking,

Reference 27

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Observation 11baa4df-8a58-4b94-a158-c7d89799f4a4 · outbound

This paper cites Development and validation of team creativity measures: A complex systems perspective,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Development and validation of team creativity measures: A complex systems perspective,

Reference 28

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source=pdf_text observed=2026-08-10T14:38:24.546492Z digest=sha256:7853e1f2b0e3d4761d55f8cdca878fed4b6bbde35d03b9fdf06aeefdd1ed5c0d

Observation 19e206dc-3ce1-4c71-9554-bc14f97df851 · outbound

This paper cites Kahneman, Thinking, fast and slow.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Kahneman, Thinking, fast and slow

Reference 29

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source=pdf_text observed=2026-08-10T14:38:24.550998Z digest=sha256:d7ee235e5a1c79159e14be2b4f63ffad7b534d49aa7fa906d2ba0918cc01bad6

Observation 16700582-9d82-4016-8757-4c0c525e801b · outbound

This paper cites Glossary of owarai terms,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Glossary of owarai terms,

Reference 30

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source=pdf_text observed=2026-08-10T14:38:24.682563Z digest=sha256:ae3870d417cae50f712a62a7e5e8380b71cb98ee553a0e75fbb446b7008e53d9

Observation 5479b6f6-2dcf-460b-a6e4-b54f8c3d1e1c · outbound

This paper cites RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Reference 31

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Observation 468194fc-3032-42c9-a5f5-2e071d0578b6 · outbound

This paper cites BRAINTEASER: Lateral Thinking Puzzles for Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models BRAINTEASER: Lateral Thinking Puzzles for Large Language Models

Reference 32

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Observation 44a058f4-5ecc-4f72-a1a5-6a3bc9d0656a · outbound

This paper cites Birdqa: A bilingual dataset for question answering on tricky riddles,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Birdqa: A bilingual dataset for question answering on tricky riddles,

Reference 33

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Observation fdede704-6ae9-4a90-97d6-a00146a2845a · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models CogVLM: Visual Expert for Pretrained Language Models

Reference 34

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Observation 0da21584-2e16-46c4-80f5-e75d5ba5d709 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

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source=pdf_text observed=2026-08-10T14:38:24.803887Z digest=sha256:7ac974ae61ce141394413f2bd33fa2b52ed51b205065bc40e46089b401cfcf5d

Observation bfdb60c6-dfb9-4e76-8a69-ad222811d9be · outbound

This paper cites Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles

Reference 36

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source=pdf_text observed=2026-08-10T14:38:24.809092Z digest=sha256:f2160ad868e33f654357ac940764e8b5cd65384b7734f27a2578ffa00e181b17

Observation 1a7a6eac-3153-40d8-81ae-585e5845605a · outbound

This paper cites LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles

Reference 37

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source=pdf_text observed=2026-08-10T14:38:24.813455Z digest=sha256:ee21f71c13d1b8185666e09e984c21fb263e7d2dbbb2670cf41aa0acaaf24b6f

Observation 1b598bdf-8bcc-41a3-b450-2c65728f5f87 · outbound

This paper cites The effect of individual differences in cognitive style and motives in solving insight problems,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models The effect of individual differences in cognitive style and motives in solving insight problems,

Reference 38

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source=pdf_text observed=2026-08-10T14:38:24.817902Z digest=sha256:7aa75f3e086858c2643916f629d8936b17a351b97886c53ee961917c1fff9cfc

Observation ae2ff05a-2b59-4b0a-a5dc-5abcdd7eb45d · outbound

This paper cites Insight problems revisited: The influence of cognitive styles and experience on creative problem solving,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Insight problems revisited: The influence of cognitive styles and experience on creative problem solving,

Reference 39

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source=pdf_text observed=2026-08-10T14:38:24.822648Z digest=sha256:d1f143840f52ea0a410b82ac2c3d5b12596bad8efcdfcde900079edaf646f869

Observation 0b20709f-6dd4-48d7-b43c-9a89643ecf6f · outbound

This paper cites The explorer and the assimilator: A cognitive style distinction and its potential implications for innovative problem solving,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models The explorer and the assimilator: A cognitive style distinction and its potential implications for innovative problem solving,

Reference 40

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source=pdf_text observed=2026-08-10T14:38:24.826989Z digest=sha256:7436979a747333f0ec8dd97baf63fc94a3b7314af3fc9ca944b79d65f9031cba

Observation 723ae9b0-428e-4ebb-86e3-ef73c0821f17 · outbound

This paper cites Cognition and creativity,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Cognition and creativity,

Reference 41

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source=pdf_text observed=2026-08-10T14:38:24.831497Z digest=sha256:2ecf022ec9fd7250a14764973d852a77af5fa1d784a86067cfaa6ebda5de504d

Observation 1cb4c5ab-1af6-4a5a-a3c0-1ae988dab21a · outbound

This paper cites The associative basis of the creative process.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models The associative basis of the creative process

Reference 42

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no resolver link, observed 2026-08-10T14:38:24.836397Z

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source=pdf_text observed=2026-08-10T14:38:24.836397Z digest=sha256:9a7e6e64bd745eafb08cb87674bcb81637a63584414079b477bf6865a6c2e689

Observation e60a8d2f-d1e5-4f1b-bd54-a319955ff1ec · outbound

This paper cites Improved baselines with visual instruction tuning,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Improved baselines with visual instruction tuning,

Reference 43

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source=pdf_text observed=2026-08-10T14:38:24.841489Z digest=sha256:ea0d77f02f9eb5e21d736cb5756a2d7622dcca3a017d6991ec76f32fdef816ea

Observation 6b0b6dd7-18ce-4a8c-9ee6-32aebfd1eaf1 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 44

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source=pdf_text observed=2026-08-10T14:38:24.847117Z digest=sha256:383e4147cd9c31c20d5e9071463e1830e8053c4f28491fc75e760708ef585280

Observation f7826e64-4b6f-4b10-9009-55dae3d7c422 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 45

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:24.853139Z digest=sha256:559210297aa0a6989eee9489540f42e4350b4e2afb5fce93c758ed59af36698c

Observation d473296a-2239-481d-93cf-d413dd0c5695 · outbound

This paper cites Probing the Creativity of Large Language Models: Can models produce divergent semantic association?.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Probing the Creativity of Large Language Models: Can models produce divergent semantic association?

Reference 46

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source=pdf_text observed=2026-08-10T14:38:24.858384Z digest=sha256:06b924dc69626bf064b455d08a85521d351ec431f12f99f95fde07230b7f2ba8

Observation 9595cfd2-14d7-443e-bda3-7e2beadf50bd · outbound

This paper cites Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T14:38:27.723674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:24.862988Z digest=sha256:00c72b2d360dced2e307001e7c02731f0ae50373dadd94c40afd0f5f8f1424bd

Observation 2f2fc4ce-4446-491f-a7af-f35f544a70bf · outbound

This paper cites Brainstorm, then select: a generative language model improves its creativity score,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Brainstorm, then select: a generative language model improves its creativity score,

Reference 48

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source=pdf_text observed=2026-08-10T14:38:24.868309Z digest=sha256:f41293aa00e62eae85f621b480ddadd5ba97b8ea66dc3b1525ce9b560f5df044

Observation c9ed1d27-d142-49f1-ac50-12edeba4e885 · outbound

This paper cites Papers and patents are becoming less disruptive over time,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Papers and patents are becoming less disruptive over time,

Reference 49

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source=pdf_text observed=2026-08-10T14:38:24.873513Z digest=sha256:ab645153c866fa34c83eb93d25829b63a4f5e842c1ab2456dce807b4aad89c1c

Observation 4537ae6d-8f50-4374-b632-206ab928f83f · outbound

This paper cites Stiffness-aware neural net- work for learning hamiltonian systems,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Stiffness-aware neural net- work for learning hamiltonian systems,

Reference 50

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source=pdf_text observed=2026-08-10T14:38:24.878404Z digest=sha256:c87d9eb26e723bcc794a0f7cb144f3ed00650a9080fc8cea5999ebf7488f09c1

Observation 10da3eac-142d-4fdd-a9d3-44ab34a88b60 · outbound

This paper cites On fast simulation of dynamical system with neural vector enhanced numerical solver,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models On fast simulation of dynamical system with neural vector enhanced numerical solver,

Reference 51

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no resolver link, observed 2026-08-10T14:38:24.894341Z

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source=pdf_text observed=2026-08-10T14:38:24.894341Z digest=sha256:fad1873ffa6f95ae6b406bf6bb59dff181a2e5c6928a3eab44475d2c2ca171d6

Observation ff9652d4-a8e0-44f2-afc1-00022c7021c6 · outbound

This paper cites Story centaur: Large language model few shot learning as a creative writing tool,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Story centaur: Large language model few shot learning as a creative writing tool,

Reference 52

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source=pdf_text observed=2026-08-10T14:38:25.000720Z digest=sha256:1044b641bc96a3ff10b184b90f4164abc66bc882aba83c34f91beeac15293434

Observation 7c6339e8-8a67-4398-910d-1dffc1e6ec54 · outbound

This paper cites Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing

Reference 53

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source=pdf_text observed=2026-08-10T14:38:25.067545Z digest=sha256:664a44a631a3ce78af7be61828767f1aab7dd0916c52eed5bcf4e945bf973afd

Observation c0246af4-6107-47f9-9fe3-2afcdf1a71d2 · outbound

This paper cites Promptchainer: Chaining large language model prompts through visual programming,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Promptchainer: Chaining large language model prompts through visual programming,

Reference 54

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source=pdf_text observed=2026-08-10T14:38:25.098256Z digest=sha256:402ecf5259f737796b464547349c39f1487e16339cd2b251e3a3fdf4250e331e

Observation 33b1747d-d2c2-41fb-b028-2a799a821335 · outbound

This paper cites Computational humor,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Computational humor,

Reference 55

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no resolver link, observed 2026-08-10T14:38:25.103219Z

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source=pdf_text observed=2026-08-10T14:38:25.103219Z digest=sha256:d0e294004db8fe6ca2fe6ba3173fb6a1ad3cb8281cc4bf30c29d96305489718b

Observation b2af3ced-7786-4408-9307-22b90bda5fcd · outbound

This paper cites "A good pun is its own reword": Can Large Language Models Understand Puns?.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models "A good pun is its own reword": Can Large Language Models Understand Puns?

Reference 56

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source=pdf_text observed=2026-08-10T14:38:25.108678Z digest=sha256:3989f5b5a9f4fdaf661eb9e288893c767497cbe8d7019d9f06ed78336aa3cd14

Observation c18be937-67da-4de8-9687-f812621cebde · outbound

This paper cites Inside jokes: Identifying humorous cartoon captions,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Inside jokes: Identifying humorous cartoon captions,

Reference 57

Resolution
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source=pdf_text observed=2026-08-10T14:38:25.114695Z digest=sha256:6bce9b6f2a829c6aa69e1273bff1cc372ee24d2da4a4040a437158e1f9efb4fe

Observation 0141f125-9c33-45c2-91d3-7c2f7b0fa2a5 · outbound

This paper cites Learning to evaluate humor in memes based on the incongruity theory,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Learning to evaluate humor in memes based on the incongruity theory,

Reference 58

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:38:25.119719Z digest=sha256:c0dab969ee7ee4720aa0c662be2d2af72b2f009ada970d5ce31b76a592336229

Observation 2438f9b0-3b5f-4a15-81e4-54a01ee33da2 · outbound

This paper cites Hybrid multimodal fusion for humor detection,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Hybrid multimodal fusion for humor detection,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.462247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.124439Z digest=sha256:aa3010c4a18776f898e5584034a8bb5b7891f2132d23ab8b02273b80c5bd6fa2

Observation 55e28627-3006-44c9-8c95-af1ec5587b87 · outbound

This paper cites A survey on approaches to com- putational humor generation,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models A survey on approaches to com- putational humor generation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.369498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.129091Z digest=sha256:8909408927ba634efe638c96f17198bca4582f8c8b1edfbf3a47d81eae2aa777

Observation 2896e16d-68a5-4dcc-824d-69d417026748 · outbound

This paper cites Let's be Humorous: Knowledge Enhanced Humor Generation.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Let's be Humorous: Knowledge Enhanced Humor Generation

Reference 61

Resolution
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source=pdf_text observed=2026-08-10T14:38:25.137644Z digest=sha256:99ab14b7013ee9b2b17d614ba8338330b02b18deac606f1078e404c251398f5d

Observation bd1bc69a-8bbd-4b2e-897d-e8d7095f6985 · outbound

This paper cites Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines

Reference 62

Resolution
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local_arxiv, observed 2026-08-10T14:38:27.594719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.206690Z digest=sha256:c965ad7b60d95400e2e8b3afa684bd9eee1af8e3cef86d0dd64156ab4d545e58

Observation 3e5ee8ac-794b-4a67-8774-ddba95f6f7ab · outbound

This paper cites Does ai have a sense of humor? clef 2023 joker tasks 1, 2 and 3: using bloom, gpt, simplet5, and more for pun detection, location, interpretation and translation,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Does ai have a sense of humor? clef 2023 joker tasks 1, 2 and 3: using bloom, gpt, simplet5, and more for pun detection, location, interpretation and translation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.355044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.334425Z digest=sha256:626ae7387aa7cd028d24403668ba7ac00443f49dfd0a1ce7b5171877e1a60211

Observation ee63a6f9-be5f-4c39-9853-a89c02681137 · outbound

This paper cites Mhadig: A multilingual humor-aided multiparty dialogue gen- eration in multimodal conversational setting,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Mhadig: A multilingual humor-aided multiparty dialogue gen- eration in multimodal conversational setting,

Reference 64

Resolution
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raw_fallback, observed 2026-08-10T14:38:29.338912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.359251Z digest=sha256:55f2a20841644a426de0ee02624a9a3b1a8fbda6e83ec6ddd643e7e72fa5a6fa

Observation 0044bdf2-9126-40a6-947b-b14f14c0f4de · outbound

This paper cites Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.365870Z digest=sha256:d4dd71d7413c33b6bd5e158d2e1515fb9d4b2898f2bba5215baa865339cabd66

Observation 36ad02cf-7689-497d-bff1-680507e49c51 · outbound

This paper cites Visual programming for zero-shot open-vocabulary 3d visual ground- ing,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Visual programming for zero-shot open-vocabulary 3d visual ground- ing,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.206827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.371607Z digest=sha256:15d544de7e68fadb7b41c2d3498ba1a7647a0d09c102edd6f365073eb89b611b

Observation 341b454b-d329-466b-bdad-bef7e7d9d45f · outbound

This paper cites Towards revealing the mystery behind chain of thought: a theoretical perspective,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Towards revealing the mystery behind chain of thought: a theoretical perspective,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.090755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.377310Z digest=sha256:99931fa178e100770cd3732ad64159c3b0bbb0e59b9cfec42aa90e676aa63e41

Observation 0ece6254-23eb-49df-b6bf-aeb23065290c · outbound

This paper cites Faithful Chain-of-Thought Reasoning.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Faithful Chain-of-Thought Reasoning

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.381458Z digest=sha256:ad2a08f7dba4d5d2bb55fe34da58c4ad682c80b901e37ef628ae5308c6ce03d1

Observation 6bb991c5-64b9-4d90-9fbb-0b3bef79b85a · outbound

This paper cites Dd- cot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Dd- cot: Duty-distinct chain-of-thought prompting for multimodal reasoning in language models,

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.075277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.386597Z digest=sha256:615dbff9c412d2d29b89d74a8e8bff86c8d2a44867e931ba944cd52cbc14b027

Observation 0858754e-249e-4580-bf79-f122e2dcbcb1 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Towards Reasoning in Large Language Models: A Survey

Reference 70

Resolution
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no resolver link, observed 2026-08-10T14:38:25.390841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.390841Z digest=sha256:26b1c4799d1438959958363001b53a5897e5ab5650f603f919ddbae48800a0b0

Observation 3bd081d7-b58c-457f-89bc-93d0e897bea6 · outbound

This paper cites Do androids laugh at electric sheep? Humor “understanding.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Do androids laugh at electric sheep? Humor “understanding

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.058534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.395929Z digest=sha256:c9149c99ce314bd32c63c40c4b2924b2ceba29f8d2a06741846e805104e0fedb

Observation 28b83509-d9d1-49b6-a300-05837a6cdccf · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 72

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no resolver link, observed 2026-08-10T14:38:25.400477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.400477Z digest=sha256:d98f23690b0c638e974d4153fb8724500c41c0aebf09a680456c9ce6c937224f

Observation 86888393-beb3-4e5d-b0c3-3634c4cbabbb · outbound

This paper cites Cumulated gain-based evaluation of ir techniques,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Cumulated gain-based evaluation of ir techniques,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:29.043546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.487844Z digest=sha256:e68952946ad1ad81224b4c44832bc7bae3424e11dd9090bd3f1e1890fc89a48b

Observation 1ecd6fb1-2e83-440f-9400-3bd3f6eb1b72 · outbound

This paper cites Comparing the sensitivity of in- formation retrieval metrics,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Comparing the sensitivity of in- formation retrieval metrics,

Reference 74

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raw_fallback, observed 2026-08-10T14:38:29.026662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.571301Z digest=sha256:a5d66cc1a1389f5f20594ca34d78574437ae381389a6966e32a3555a22bcefe1

Observation ffa29fe0-f39f-4edb-b340-4372525b9906 · outbound

This paper cites Sloane, The leader’s guide to lateral thinking skills: Powerful problem-solving techniques to ignite your team’s potential.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Sloane, The leader’s guide to lateral thinking skills: Powerful problem-solving techniques to ignite your team’s potential

Reference 75

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raw_fallback, observed 2026-08-10T14:38:29.002623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.611408Z digest=sha256:fc5f1a74cf4553ec6c475a3c6fe5580d42eff6665d00d04e21cf206bd61c2e6a

Observation 3b01b47b-d0ae-4a29-b215-f937e50cc641 · outbound

This paper cites Creativity step by step,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Creativity step by step,

Reference 76

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raw_fallback, observed 2026-08-10T14:38:28.906908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.616395Z digest=sha256:68d4f3200bc7c99ea122c5abcdabc1dfba0143c2188b3254aade0bab76d5ff01

Observation a717283b-e794-453d-8dfd-063e46d3fb5f · outbound

This paper cites Mental leap,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Mental leap,

Reference 77

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verified exact
doi, observed 2026-08-10T14:38:26.975396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.620850Z digest=sha256:070382fef116eab8931426a81f4ab723cd0572babff264c7c4024082b3ac6bf5

Observation 1904c59c-9013-41dd-97b4-a250c0926291 · outbound

This paper cites Gpt-4 technical report,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Gpt-4 technical report,

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.625227Z digest=sha256:24eb5f120b472dbd8bf2e71cef24c9401002f51ec3760a644cc38d67f27d62b2

Observation 482467b8-47ff-45be-a2f4-c9f1b6268253 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 79

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no resolver link, observed 2026-08-10T14:38:25.629947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.629947Z digest=sha256:662f03f89c82dd6029a825a23c410202c65f1db1b2828d0c291eae2554f2d51d

Observation 9315a30b-13a2-4e3e-8e58-b85c4eddd8b9 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Learning transferable visual models from natural language supervision,

Reference 80

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no resolver link, observed 2026-08-10T14:38:25.634602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.634602Z digest=sha256:9adaa6d9c24e2e1c1cb9b186be7346a3b910c7f1df9e2ec9af7c14d8cd4ecd50

Observation 769284f6-8c5e-485b-8fbe-6785835a06e2 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.640578Z digest=sha256:f355f3e35d4f8608d99a34f7550cd097df8d58fad0f8cc3d30a908ce586557a0

Observation 75de37f3-57db-42f4-adbb-38977daff788 · outbound

This paper cites Will large-scale generative models corrupt future datasets?.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Will large-scale generative models corrupt future datasets?

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:28.809590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.645795Z digest=sha256:5794be06969b24490e6f6eb2c5915fa2e00865d2673a53c6af0520b5cba69746

Observation abe5ccdc-cd31-4d93-ba18-17acdd8e66ce · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 83

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no resolver link, observed 2026-08-10T14:38:25.650548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.650548Z digest=sha256:193ed04045e870847583260a99642d802ca14d8ef2f4a0cf6cde43330d02fbbc

Observation 56fcbdca-8b78-4506-92fd-ccc948bfc9ec · outbound

This paper cites Exploration of Masked and Causal Language Modelling for Text Generation.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Exploration of Masked and Causal Language Modelling for Text Generation

Reference 84

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no resolver link, observed 2026-08-10T14:38:25.699657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.699657Z digest=sha256:260dbfe6d038860dcc02a6ef134389f5748730be5a9f6678f2f699caf7ab8bf1

Observation f5d63ce7-2538-4140-bc46-ab01aa3b1e20 · outbound

This paper cites tinyBenchmarks: evaluating LLMs with fewer examples.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models tinyBenchmarks: evaluating LLMs with fewer examples

Reference 85

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no resolver link, observed 2026-08-10T14:38:25.802145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.802145Z digest=sha256:78ee8ec69d634c01a581f82341cdf84d175e3dd3f99803e4bc6def7b59da6c31

Observation e90a0b89-3763-4ded-b0ac-f717c25c9ddd · outbound

This paper cites metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:38:25.862946Z digest=sha256:0dced21983cb6ed1590bbdc0a96a7977d14d5058df04834820753cbee09b985d

Observation 2c67787d-6344-4f40-8b7a-ca554d91f94b · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 87

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.867891Z digest=sha256:e29172b39b2ed46dc9b63423956e8303b3ad0ec415ef1cc50a5897d845d627c3

Observation 0d97dfdf-66b0-40de-8588-30e831ddb543 · outbound

This paper cites Glm: General language model pretraining with autoregressive blank infilling,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Glm: General language model pretraining with autoregressive blank infilling,

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.872749Z digest=sha256:63c4b24b9ac156c8b41fe52a2b746fdbc93bd77527e0d570fc0f41f8d9271d5f

Observation de8ba8c4-3906-4a91-a8ea-38148f166da3 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 89

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no resolver link, observed 2026-08-10T14:38:25.877194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.877194Z digest=sha256:2d07edf002d4cd379c7049b606887c7296d3ec9f5c708e58e835b2f1ab16e7ad

Observation 9560cc46-1eb5-4f71-ab1f-4ad0981527cd · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:28.785290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.882707Z digest=sha256:70cb884224c398b109034a3e636cc828781cb52234352c9a7f7ef94870050f40

Observation f2aa5815-5ce0-48b4-927c-89cb709f28f6 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 91

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:38:25.886778Z digest=sha256:f460aa1e35cc099daa7bb54be9a7aa3f191f0fdceecd1f7a126ed0f26bd75f08

Observation f927ec0b-2096-4098-9a46-9fdf6df8d4e1 · outbound

This paper cites Young, B.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Young, B

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:38:28.769948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T14:38:25.891763Z digest=sha256:0a596e381d1b4d1c7b816ff20493688d323bb3e7effcb73a90e4cd80e8e4e866

Observation 21cd5c21-b140-498b-80c8-40bfc2042ea9 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Yi: Open Foundation Models by 01.AI

Reference 93

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no resolver link, observed 2026-08-10T14:38:25.998097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.998097Z digest=sha256:478fe21b80988f01501af59e671c2ffedc3129cd9b5e99b6641946cb19b694fb

Observation 32f05e0c-6e97-4a09-b1ce-cc2795ad0651 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 94

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no resolver link, observed 2026-08-10T14:38:26.082624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.082624Z digest=sha256:2a5d050616245306ca1857d618127a113df3c25578bc84689da51ea674f6b2cd

Observation 7167656d-bce8-418a-bd57-a8e075372555 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 95

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no resolver link, observed 2026-08-10T14:38:26.160727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.160727Z digest=sha256:9ef64ad7b73d1483cb23cd3361adf49c3484a59f7a8c410d1816e7a8ae932556

Observation f789b346-6350-4af4-b128-48d5449016f7 · outbound

This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 96

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no resolver link, observed 2026-08-10T14:38:26.166226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.166226Z digest=sha256:96aaff89d2ec22d79feeeba0445abcf1d7b3c42e38578e743759d051221e17b3

Observation 5fd06f66-d729-438f-88fc-75d5bef9574d · outbound

This paper cites Baichuan 2: Open Large-scale Language Models.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Baichuan 2: Open Large-scale Language Models

Reference 97

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no resolver link, observed 2026-08-10T14:38:26.171002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.171002Z digest=sha256:8a11ab9cf2293e5da5dedb3569ca2fd1daf4da9b393dc26b946d654ead01b44c

Observation ea0b7663-1972-4182-83b9-0262d7da16f7 · outbound

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

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 98

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no resolver link, observed 2026-08-10T14:38:26.175642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.175642Z digest=sha256:a71f2236d494152b50578835cead59f34328829e90437d33526ca7e464545e0b

Observation 5ddafb8d-be23-40c7-8d6c-1c8d3185c0c6 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 99

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no resolver link, observed 2026-08-10T14:38:26.180299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.180299Z digest=sha256:bfa4c4562e079ace9bdaa489d9d41f3699ac688a3ca3d9d5de3d00d13164f4ce

Observation 7c5ab106-646d-402d-ad61-d840992a6078 · outbound

This paper cites GPTEval: A Survey on Assessments of ChatGPT and GPT-4.

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models GPTEval: A Survey on Assessments of ChatGPT and GPT-4

Reference 100

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no resolver link, observed 2026-08-10T14:38:26.185343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:26.185343Z digest=sha256:a035ac85b22f52255674f0db8576813430fc308d53c8dd3cf13339acd59bc86f

Pith citing papers

No inbound Pith citation observations are available.