Paper Citation Record · LEDGER

CREward: A Type-Specific Creativity Reward Model

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2511.19995.

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

pith.paper-citation-record.v1
2511.19995 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:27:23.790309Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

37 of 37 outbound references displayed

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unresolved37
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External citation measurements

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Outbound references

Observation 1dbe9db4-d317-4b31-9f7e-3a5b4a610c01 · outbound

This paper cites Creativity and artificial intelligence.Ar- tificial intelligence, 103(1-2):347–356, 1998.

CREward: A Type-Specific Creativity Reward Model Creativity and artificial intelligence.Ar- tificial intelligence, 103(1-2):347–356, 1998

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.643871Z

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Observation aac635b3-0cb4-4d80-b339-ad79ce74374e · outbound

This paper cites Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark.

CREward: A Type-Specific Creativity Reward Model Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.648877Z

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Observation 5a066701-15c9-4cf6-ad13-3ccd8f1f2e9f · outbound

This paper cites Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,.

CREward: A Type-Specific Creativity Reward Model Pixart-α: Fast training of dif- fusion transformer for photorealistic text-to-image synthesis,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.652932Z

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Observation 9261f9d3-53a3-4f80-9a0b-0f9c951aecd0 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

CREward: A Type-Specific Creativity Reward Model Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.657288Z

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Observation c0eff4a9-0b22-4b7c-be9a-8753d089f474 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

CREward: A Type-Specific Creativity Reward Model Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.661618Z

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Observation 5979cf2c-bf94-4739-bec8-60d28a6af30c · outbound

This paper cites Redefining⟨creative⟩in dictionary: Towards an enhanced se- mantic understanding of creative generation.

CREward: A Type-Specific Creativity Reward Model Redefining⟨creative⟩in dictionary: Towards an enhanced se- mantic understanding of creative generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.665458Z

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Observation f5d4f8b2-5b61-4227-8f9a-40f817616468 · outbound

This paper cites DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

CREward: A Type-Specific Creativity Reward Model DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.670130Z

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Observation b51f82b4-d436-4c75-81c7-22b78308f200 · outbound

This paper cites Sliderspace: Decomposing the visual capabilities of diffusion models.

CREward: A Type-Specific Creativity Reward Model Sliderspace: Decomposing the visual capabilities of diffusion models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.674545Z

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Observation b4451e50-f335-4eec-a6f6-2c23688c974d · outbound

This paper cites Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images.

CREward: A Type-Specific Creativity Reward Model Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.678554Z

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Observation c068d924-b856-4582-9378-449b9c8943b7 · outbound

This paper cites Enhancing creative generation on stable diffusion-based models.

CREward: A Type-Specific Creativity Reward Model Enhancing creative generation on stable diffusion-based models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.683256Z

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Observation c57d4e28-0031-45c6-b4a8-acb461bf6e08 · outbound

This paper cites Clipscore: A reference-free evaluation met- ric for image captioning.

CREward: A Type-Specific Creativity Reward Model Clipscore: A reference-free evaluation met- ric for image captioning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.686985Z

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Observation a4b6f4a7-6220-4c73-b43c-b4389f5086ca · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

CREward: A Type-Specific Creativity Reward Model Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.691211Z

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Observation 066b42e8-5b86-40a8-b607-63210ca07a18 · outbound

This paper cites Hughes, Andries van Dam, Morgan McGuire, David F.

CREward: A Type-Specific Creativity Reward Model Hughes, Andries van Dam, Morgan McGuire, David F

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.695099Z

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Observation 19ae5d13-91ce-4ffe-858e-2e056ba60786 · outbound

This paper cites Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019.

CREward: A Type-Specific Creativity Reward Model Improved precision and recall met- ric for assessing generative models.Advances in neural in- formation processing systems, 32, 2019

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.699292Z

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Observation cf9864f2-d503-44e9-8c40-f3abc1ecca7f · outbound

This paper cites Flux.https://github.com/ black-forest-labs/flux, 2024.

CREward: A Type-Specific Creativity Reward Model Flux.https://github.com/ black-forest-labs/flux, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.703428Z

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Observation f309bc37-44f2-4ce2-9577-32eadfff90ab · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

CREward: A Type-Specific Creativity Reward Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.707224Z

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Observation bb79e491-fe71-43e5-90c0-dee4fd2c2c01 · outbound

This paper cites VLM-Eval: A General Evaluation on Video Large Language Models.

CREward: A Type-Specific Creativity Reward Model VLM-Eval: A General Evaluation on Video Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.711376Z

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Observation 43138019-6ef7-4faa-89ed-d823768b6446 · outbound

This paper cites Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding, 2024.

CREward: A Type-Specific Creativity Reward Model Hunyuan-dit: A powerful multi-resolution diffusion trans- former with fine-grained chinese understanding, 2024

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.715420Z

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Observation 26b132f6-0fe6-4951-a02b-b7d76adfb396 · outbound

This paper cites MIT press, 2010.

CREward: A Type-Specific Creativity Reward Model MIT press, 2010

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.719329Z

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Observation bfce422e-4b4d-4d56-a2e7-b31b7f794157 · outbound

This paper cites Forest before trees: The precedence of global features in visual perception.Cognitive psychology, 9(3): 353–383, 1977.

CREward: A Type-Specific Creativity Reward Model Forest before trees: The precedence of global features in visual perception.Cognitive psychology, 9(3): 353–383, 1977

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.723489Z

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Observation 85e058fe-185c-4389-b9f8-c2e7b79ae914 · outbound

This paper cites Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744, 2022.

CREward: A Type-Specific Creativity Reward Model Training language models to follow instructions with human feedback.Ad- vances in neural information processing systems, 35:27730– 27744, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.727148Z

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Observation 59cbccef-a635-4e81-9e9b-1ff2c660682b · outbound

This paper cites MIT Press, 2023.

CREward: A Type-Specific Creativity Reward Model MIT Press, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.731396Z

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Observation 2dfa5c6a-dbf4-4ee4-97e3-e2aef93f2787 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

CREward: A Type-Specific Creativity Reward Model Learning transferable visual models from natural language supervi- sion

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.735229Z

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Observation 36abbab1-a353-4ec1-884f-e0825c6aac07 · outbound

This paper cites Conceptlab: Creative concept generation using 9 vlm-guided diffusion prior constraints.ACM Transactions on Graphics, 43(3):1–14, 2024.

CREward: A Type-Specific Creativity Reward Model Conceptlab: Creative concept generation using 9 vlm-guided diffusion prior constraints.ACM Transactions on Graphics, 43(3):1–14, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.739209Z

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Observation d10aa6e0-0044-42ce-b2a1-5faff17fbebe · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

CREward: A Type-Specific Creativity Reward Model Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.742990Z

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Observation 4c799373-30a8-4a5b-95f1-68423bbc9a5a · outbound

This paper cites an unresolved cited work.

CREward: A Type-Specific Creativity Reward Model Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.746920Z

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Observation e32c3646-cdd0-4257-80aa-765320cfe1e0 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

CREward: A Type-Specific Creativity Reward Model Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.750419Z

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Observation 7ad9a579-331a-486e-ba6f-1fd438f4f609 · outbound

This paper cites Learning to summarize with human feed- back.Advances in neural information processing systems, 33:3008–3021, 2020.

CREward: A Type-Specific Creativity Reward Model Learning to summarize with human feed- back.Advances in neural information processing systems, 33:3008–3021, 2020

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.754692Z

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Observation 1ad4bef0-1f86-468a-bd51-c5bc52fe883c · outbound

This paper cites Gemma 3 Technical Report.

CREward: A Type-Specific Creativity Reward Model Gemma 3 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.758296Z

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Observation bfd023e2-6bb3-420b-8a50-fee5d4bd1114 · outbound

This paper cites Qwen3 technical report, 2025.

CREward: A Type-Specific Creativity Reward Model Qwen3 technical report, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.762657Z

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Observation b56d4afc-0205-4eff-ae6a-03b8bd44f08b · outbound

This paper cites Kandinsky 3: Text-to-image synthesis for multifunctional generative framework.

CREward: A Type-Specific Creativity Reward Model Kandinsky 3: Text-to-image synthesis for multifunctional generative framework

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.766717Z

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Observation f93a9f72-aae3-4272-bb82-a554280edb41 · outbound

This paper cites Evaluation of text-to-image generation from a cre- ativity perspective.

CREward: A Type-Specific Creativity Reward Model Evaluation of text-to-image generation from a cre- ativity perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.770638Z

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Observation a3cd4e16-60b0-48c0-bd9b-050437c36cc2 · outbound

This paper cites Unified Reward Model for Multimodal Understanding and Generation.

CREward: A Type-Specific Creativity Reward Model Unified Reward Model for Multimodal Understanding and Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.774268Z

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Observation 635698e2-a10b-4cb4-9125-99f5f659f287 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023.

CREward: A Type-Specific Creativity Reward Model Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.778197Z

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Observation 7b0e8bd9-221b-42cd-b5ec-94d6ba8f5fe2 · outbound

This paper cites VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.

CREward: A Type-Specific Creativity Reward Model VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.782108Z

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Observation 5794d206-8b48-4842-a82c-4022c4427adc · outbound

This paper cites Im- proved distribution matching distillation for fast image syn- thesis.

CREward: A Type-Specific Creativity Reward Model Im- proved distribution matching distillation for fast image syn- thesis

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T20:27:23.786280Z

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Observation 8d943f7f-c69c-4e58-a46b-a2b91de6f970 · outbound

This paper cites , clean background.

CREward: A Type-Specific Creativity Reward Model , clean background

Reference 37

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Pith citing papers

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