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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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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source=pdf_text observed=2026-08-10T14:38:24.192176Z digest=sha256:84a0b2e5a1dfe010eefb2857cf8e26ff4c4f7942eee5121f0c4c1ef4097592b9

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=sha256:2f6d962e38aa3f4fbe0bddb6ab897f67c37fe511611f8e5856c92b93d8240e5a

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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source=pdf_text observed=2026-08-10T14:38:24.203815Z digest=sha256:9646248a32bc23280d8531f001d8a94ca1aaf6ea1d0354f9a890149f83469969

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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source=pdf_text observed=2026-08-10T14:38:24.215950Z digest=sha256:4a31d80f7731a9fe730f169a97327fa842e37d9bec00e5d9f0f1262e05b47c6b

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

Reference 25

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source=pdf_text observed=2026-08-10T14:38:24.532944Z digest=sha256:2c56e4ef321a809d83bc5eac8959da9f8fd116816fe543b65cfbdbfe838256fa

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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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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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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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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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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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:bf584d6a626cfd119b820f7db1320289a63cf8f42e9f5c834014b8032e44a50c

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:e9cbf84fc1b573e1703f3f61eccda60d3fd2e5616be896d76eebdd450255c8b1

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:bd2006b2522cc90622eac9c5cea5141990e6d33f8ded92b0299a17d25a7832d9

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=sha256:9d5fbf1770d41176680372b99fd4be70850021e8db93cdbd60113831b732182b

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=sha256:5d06289f6e5acc3a0c3e6a6e860b16cfb106c1b8b4c1047ba8d719cc55a38da4

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=sha256:95a1144d8dad497acc3d1df60821c26d90f672102f108df936e63082e9caca7d

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=sha256:34c463741701e691104a786afd6a5f2630516440b9b3a49e6c984d542121f826

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:b8d322c264097c240393aae6fd27d9bbf334f1ac46a0cc17d9392a4b0d46eb06

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:d450e28c2cb9cd1d8c7ada6043f7ae23e4ef8facb9eb5a937b23e39366a220cf

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=sha256:434e89867cc6d2e36d1a24c9857dde6efe6eaa1f2db5fbcdd85a337d40d67d3b

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=sha256:0976009cd0ca0046f8c3bc81fa461d6afdbc9ef03c9033ecc9a5e43c57f35399

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:24.862988Z digest=sha256:19d7fcff406cd3aabc90f7c3166da73e940735e099bbb690459bdde4eb3fb257

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:d80fbaa89687599668983065428a9afb2e019447e6be3b1e74506e67281e7de2

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:bf0de2b30956cb21a39432170b417593bdc5984f7b1e1511a2c6e8861de168f2

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=sha256:4baee3b8f901ba0e7d24a4a7a626a7c1fc477500bb7d76b566969de384fb2fc2

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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source=pdf_text observed=2026-08-10T14:38:24.894341Z digest=sha256:f915d4976583960f9e40215ac3aac4b227b7cabe50010a265d3fa8d2107bd02c

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=sha256:74dd0e26eecbb7754a2f000e6f594f296063922babf2462cb961a51fea79ee41

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=sha256:883e6300918fc41f70a6b56a7aab8df34ae221bd6b76a4e0ab1f18c6744bb8d7

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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no resolver link, observed 2026-08-10T14:38:25.098256Z

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source=pdf_text observed=2026-08-10T14:38:25.098256Z digest=sha256:9d0a578b375e7cdf3e78f28e2f06e74d7f57856a7651808fc02901ba1a26b77a

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:38:25.103219Z digest=sha256:b1c5b83fba3b513cd2cbede43be749c8aadc15a93949614d1d72dba1af5f47e4

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=sha256:9c549d3d3c105441a20eb0f68a0d7fca4d3004be93de5eac578f52d034cabc0a

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

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source=pdf_text observed=2026-08-10T14:38:25.114695Z digest=sha256:b60e9a1a40aefec37ae91ea924eb642d09ae1b184f08896cb25007baee986846

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=pdf_text observed=2026-08-10T14:38:25.119719Z digest=sha256:ed3f3548f5005c01a8c4d6382063cd3d7077c112d204aca0b51c6ae2edf5add0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.124439Z digest=sha256:b6352763cca9c6dd3b109630f2bd027826e206b12067cc78643eaac759a7f9f4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.129091Z digest=sha256:275b6cf8f82e1fcf73994826fc67e4399bf72b0d2d182b421990fef73a3bfaf8

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

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no resolver link, observed 2026-08-10T14:38:25.137644Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:38:25.137644Z digest=sha256:32c621fde30a8eb4041caaacb7d75c84e9a6c6d997e47496ac47c07056b0c96d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.206690Z digest=sha256:177da90706390b2783539e34a1673415a5edb97d0d2582e9975c17186a2e4457

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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.334425Z digest=sha256:46f5d39d9e8f8607a457d647af97b4bc8d1b759074ef80565b3d36c114c6a884

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.359251Z digest=sha256:8b35062c868c9c58c00e72c9d74aa4216a122220db831099d6201b89c539f312

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:ff7778ec37da1a08fd741346bd5cde7c8baacca8f202220a942ed5f19cbe2967

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.371607Z digest=sha256:6ca662f113d3a4013ab07eb876126291580ca91af71ea6ffbdba2632ed0476fb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.377310Z digest=sha256:c5ca31283816e08c55db0e978a2e7aa7d93566c7ac17884f1fab398d47d5494d

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

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source=pdf_text observed=2026-08-10T14:38:25.381458Z digest=sha256:4c22b1544ae406d39a8d03764cbd960e29b05d2601737a53a883d836a3f4fd49

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.386597Z digest=sha256:b08633672074f59c1eef9a89bb8359ad7d2b49ab14bebb070f07b2d90d0e9e70

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=sha256:81fa3e20573652f6e59b5286c879689f087ba199e9115cb94ac2e5f3b43b8550

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.395929Z digest=sha256:0ad14d541724be8376429f06d32dba8c3b07be2a461ca18565a8ab188c21a24e

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=sha256:9e5529dd3def9dcac666b5fa78c9530ce279950c731179a751070dcbdc8e56d9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.487844Z digest=sha256:b5950564f90eeddd4d68c2113de75b30c7fdfeedeea79d42e5ba3d6aa49968d1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.571301Z digest=sha256:2c005654179bd0abbb12a8bdaec935f70db316585c9fe8fc44e8c815d0b9fd43

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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verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.611408Z digest=sha256:d2f8552180a09ac27df03bf8bc25e5b5db840b5d8c71a2c910db08d689e6fc54

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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verified fuzzy
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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.616395Z digest=sha256:430e73013c83fa9d2f3be0f5ce2b92e2824c08dcd01265cfb982ba7976e7a2bf

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.620850Z digest=sha256:2ec582562889438d27a711dcc67b6c5ef121395fc11a226fc43ffbb0d94e73d9

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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no resolver link, observed 2026-08-10T14:38:25.625227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.625227Z digest=sha256:fa34e5d83bae3e99a0b2860022743d92e89cd094bae133163c119f15deabd84a

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=sha256:40872175337f48476a71e754948cb7efeec536513736cf73d053caebd6288600

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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unresolved
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:a5cf236da1eefbf636c1ac05294f2ccdd4f6fb25b62e4911c42e1289a0bd8f8f

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=sha256:1b07d3d19b1cad38910501f64dc515963d396c17e56c221a681f7a83fc1b3790

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.645795Z digest=sha256:620317eb4da370199928a1423c0f7e32652e486576640e245801907a0a87b456

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:f01a145790709369571b1b788385f7176331b9cd2588e85e72f30414dc371344

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=sha256:4bae1c46067d1adf246d0d29e5481d4a31517961ebd8bd75560864b7f42ac271

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=sha256:61c9938127181dbf7bd942b9f2aa948eadcba942b75c4238671e233eafa2c9dc

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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no resolver link, observed 2026-08-10T14:38:25.862946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.862946Z digest=sha256:c659d705d8f3c6b13ab3f8884b219132645b0c3f6af34b3327cc6fbd4a9dd9e1

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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no resolver link, observed 2026-08-10T14:38:25.867891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.867891Z digest=sha256:42bbcebcefa3afa5f4780794a84dade5829f07a77d56969b469dc5402229114f

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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no resolver link, observed 2026-08-10T14:38:25.872749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.872749Z digest=sha256:7abe6edddcca1cddc79cee7a0aaf03d46e3b932a8dec64ca8b09afe4f9a0ef49

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=sha256:5b3d4944b2fe99aaa73df204f1d78c1750656cabdec95a496e20ce9379bdaa62

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.882707Z digest=sha256:70d69ebcd281bd8ae8179e2f35eb2683a2b57090fd6f8b188a3c2be10a552a86

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:38:25.886778Z digest=sha256:5a5a063289f74e3927d2640f32717202ad7c6ec0a4bbaeafa251e07bb57eda00

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:38:25.891763Z digest=sha256:4345f21e6b299b87d7a057a9c0e8124fa4532497dce7f019479e53c84df68326

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=sha256:924065d250e9c6fa919489d6451c86a1f3264ac0ec6008099e392b3e71df315b

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:dae59955dd0402bf1e88fcc1225a9d79e17224848c277b930c8789f0b3300aeb

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:a01356cbd648de321d308c0979ecd2603dedd73595c3cd654fdb79da11ab3bdd

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:cf167c9bad37bbdf29efa094bd30af6ead1ceeda632dab71fb2d18e54945411e

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=sha256:34b4fabe21b8a08414bd3354c503490231f2f0b6101aaaaf709c4d28960aeb5c

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

Resolution
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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=sha256:30eaa7d5a3ef49ef130e135a8040404b51a76973919a7b4583dfde062b7f8aec

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=sha256:3167f263c68f6e738abccb6d6c7354b51cfd2d9b157a48817f4cb6aaa768a5ce

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:eb810f5fc0fa48edcd2753eb17d1b315c1a68b9841af9c0c77ce3523015e740c

Pith citing papers

No inbound Pith citation observations are available.