Paper Citation Record · LEDGER

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

As of 19 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 54 inbound Pith citation observations for arXiv:2505.00703.

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

pith.paper-citation-record.v1
2505.00703 v2

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:47.881363Z

measured 144 of 144 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.930967Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:50.900451Z

Reference resolution

90 of 90 outbound references displayed

verified exact0
verified fuzzy6
unresolved84
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b903d3d-d5f2-4c91-a13f-e6e472bf29b4 · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 1

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Observation f9c9af51-d185-4d09-91ad-1c890d368f9b · outbound

This paper cites Program Synthesis with Large Language Models.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Program Synthesis with Large Language Models

Reference 2

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Observation 745cd16a-5606-4cfd-9b0f-17c5b6c725b3 · outbound

This paper cites ACM Transactions on Graphics (TOG) 42(4), 1–10 (2023).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT ACM Transactions on Graphics (TOG) 42(4), 1–10 (2023)

Reference 3

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Observation a985d27e-8d85-4a45-9a69-62d646b66a24 · outbound

This paper cites an unresolved cited work.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Unresolved cited work

Reference 4

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Observation f786e9ba-f4e8-4730-869f-d0a90bf3df12 · outbound

This paper cites https://github.com/Deep-Agent/R1-V (2025), accessed: 2025-02-02.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT https://github.com/Deep-Agent/R1-V (2025), accessed: 2025-02-02

Reference 5

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Observation fb4e93fb-3974-4577-9d67-fca97d891481 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Evaluating Large Language Models Trained on Code

Reference 6

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Observation 1b771f63-16c0-4f8a-904d-23335881d2be · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 7

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Observation c280d0a4-6d1e-476b-85b6-b325f0247855 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 8

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Observation 047416ed-2031-446e-8967-702ab210771c · outbound

This paper cites In: Ku, L.W., Martins, A., Srikumar, V.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Ku, L.W., Martins, A., Srikumar, V

Reference 9

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Observation 1d3ffa0b-f48e-4fc1-afd5-3cb5406cc5c8 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 10

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Observation 3a0b2565-a255-4da5-aaa7-87e205a73fe8 · outbound

This paper cites DreamLLM: Synergistic Multimodal Comprehension and Creation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT DreamLLM: Synergistic Multimodal Comprehension and Creation

Reference 11

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Observation 723c8f06-df27-4cf1-9ce2-1d4f7560c515 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 12

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Observation 53396554-e3f1-42a2-ab5a-54c88d1cfd82 · outbound

This paper cites PUMA: Empowering Unified MLLM with Multi-granular Visual Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Reference 13

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Observation 966780be-d776-4236-95a3-b66961de40e6 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 14

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Observation a2e83712-a778-43dd-9426-a42831d97a74 · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 15

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Observation 42149007-a132-45b2-b4f0-262747650dc7 · outbound

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

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Gemini: A Family of Highly Capable Multimodal Models

Reference 16

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Observation c7fea57c-da32-4ed3-be30-bfb9b6ef64f0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

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Observation 580ea783-a5c8-4fd8-89c5-57aa738d9362 · outbound

This paper cites SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems

Reference 18

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Observation 38867dd6-2c10-4a26-9831-075800eaffb6 · outbound

This paper cites Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step

Reference 19

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Observation 4e302370-6574-4ab8-8802-d99729066935 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Unresolved cited work

Reference 20

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Observation 2929fe3b-02ed-4053-8f1c-0ca53b7c8b1a · outbound

This paper cites NeurIPS (2021).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT NeurIPS (2021)

Reference 21

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Observation bcec90e0-35f2-4812-94c2-0d236fca825e · outbound

This paper cites Advances in Neural Information Processing Systems 36, 78723–78747 (2023).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Advances in Neural Information Processing Systems 36, 78723–78747 (2023)

Reference 22

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Observation b8936618-ca30-491a-a61f-999d2b48667f · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 23

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Observation e734adca-e227-4a77-a61c-16b399e450e2 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 24

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Observation 293fdf07-0a10-4d87-a755-6fc5a69722b2 · outbound

This paper cites CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Reference 25

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Observation d553872c-3bdc-45f3-84b6-02daa4b3731c · outbound

This paper cites MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Reference 26

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Observation 7eb6451e-88d9-4c84-9e45-4bc11bae848d · outbound

This paper cites Advances in neural information processing systems 35, 22199–22213 (2022).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Advances in neural information processing systems 35, 22199–22213 (2022)

Reference 27

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Observation 5b719e99-717d-4b7e-b63f-7c927cccd29e · outbound

This paper cites https://github.com/black-forest-labs/flux (2024).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT https://github.com/black-forest-labs/flux (2024)

Reference 28

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Observation 67f7bd7e-d60e-4b72-b268-ed3d0522c958 · outbound

This paper cites IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models

Reference 29

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Observation 806ee90c-2a6f-4a3b-b7bd-30d900174584 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT LLaVA-OneVision: Easy Visual Task Transfer

Reference 30

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Observation 6894e5ab-004d-42e4-bdb6-b6a73af79953 · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 31

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Observation ad4eb845-bef3-4074-91e0-9bf532ce6662 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding

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Observation 10d3cce4-0398-4d81-9026-1e2eaa690e67 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: International Conference on Machine Learning

Reference 33

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This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

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Observation 49b1b15b-c31c-4e37-9988-ebea8cdd1830 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation

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Observation cbf0e5e4-87a5-4413-b422-dd04506e1009 · outbound

This paper cites In: European Conference on Computer Vision.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: European Conference on Computer Vision

Reference 36

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This paper cites arXiv e-prints pp.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT arXiv e-prints pp

Reference 37

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Observation 8e8f677c-ed77-49b1-9a0a-058f388b1eb8 · outbound

This paper cites In: NeurIPS (2023).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: NeurIPS (2023)

Reference 38

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Observation 42775345-5b96-47e8-af6a-366c89f4b0a7 · outbound

This paper cites HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model

Reference 39

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Observation e20db545-8265-4d7d-8097-7585b809eaf2 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: European Conference on Computer Vision

Reference 40

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 41

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Observation 7277b729-f890-4fa0-ace9-f3d998f81f2e · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement

Reference 42

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Observation 0c3c8a73-5d38-45c5-a3a9-06362db51803 · outbound

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T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 43

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This paper cites arXiv preprint arXiv:2502.20321 (2025).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT arXiv preprint arXiv:2502.20321 (2025)

Reference 44

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Observation 3711cc91-3bf6-4924-9b13-ce92f8231a6a · outbound

This paper cites JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Reference 45

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This paper cites In: American Invita- tional Mathematics Examination - AIME 2024 (February 2024), https://maa.org/ math-competitions/american-invitational-mathematics-examination-aime.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: American Invita- tional Mathematics Examination - AIME 2024 (February 2024), https://maa.org/ math-competitions/american-invitational-mathematics-examination-aime

Reference 46

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Observation ecc7a0c3-5ac7-4359-baea-621550d58f37 · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 47

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Observation c66ef752-095b-41ab-ad10-e760649b973d · outbound

This paper cites https://www.midjourney.com/ (2024) 13.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT https://www.midjourney.com/ (2024) 13

Reference 48

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Observation 5e1309e9-7e9a-4859-9e5e-783fa1ea033b · outbound

This paper cites WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Reference 49

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Observation e9a9d7c2-c053-417a-b8c5-8acccb4c1538 · outbound

This paper cites https://chat.openai.com (2023).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT https://chat.openai.com (2023)

Reference 50

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Observation 2a3ea94f-5422-4682-862f-c495bf3be45b · outbound

This paper cites an unresolved cited work.

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Reference 51

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Observation e12bde5d-4e0e-42be-a9f8-94a62ab781a3 · outbound

This paper cites https://openai.com/index/hello-gpt-4o/ (2024).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT https://openai.com/index/hello-gpt-4o/ (2024)

Reference 52

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Observation 4dd7a63c-811f-4f65-ad65-a2fbc354c1dd · outbound

This paper cites (2024), https://openai.com/o1/.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT (2024), https://openai.com/o1/

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:48.973238Z

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Observation 1e54307d-998d-4ec4-8439-6ba7aa6c8725 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.726086Z

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Observation e6a9ae03-2e7b-4916-846d-3c9c7d390273 · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.730706Z

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Observation 213b7a74-5c1b-47db-ae75-08b277a1d8c9 · outbound

This paper cites In: International Conference on Machine Learning (2021), https://api.semanticscholar.org/CorpusID:231591445.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: International Conference on Machine Learning (2021), https://api.semanticscholar.org/CorpusID:231591445

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.735271Z

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Observation 59ddba06-e07e-45dc-bc3f-dbc0af6644da · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.739951Z

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Observation 6d4c23e7-2f3c-43af-8e9b-37ab1fe7d32a · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.743927Z

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Observation b78d8405-f223-43f6-9cee-809ddb27b9e4 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.747452Z

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Observation bd18496e-3a4e-4b90-afa2-717fcfeb9b98 · outbound

This paper cites Proximal Policy Optimization Algorithms.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Proximal Policy Optimization Algorithms

Reference 60

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Observation 0a7658ef-2552-43a3-9252-d393fad3e324 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.754698Z

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Observation 9b5a809d-0829-4e99-8d81-f6b797e29a4e · outbound

This paper cites DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.758686Z

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Observation d1ee6918-7327-4266-aa4e-bfe31e57039b · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.763067Z

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Observation e7456a3f-f7f2-4297-8b05-5fed2ebff242 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.767386Z

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Observation 894d1fbd-2872-4598-ae9b-c8a908fabc98 · outbound

This paper cites Generative Multimodal Models are In-Context Learners.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Generative Multimodal Models are In-Context Learners

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.772238Z

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Observation 91302e20-12e1-457b-9302-5cb600816c90 · outbound

This paper cites Emu: Generative Pretraining in Multimodality.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Emu: Generative Pretraining in Multimodality

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.776600Z

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Observation f4263540-1a0c-4e7c-8ae1-07de0fc27b30 · outbound

This paper cites Advances in neural information processing systems 37, 84839–84865 (2024).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Advances in neural information processing systems 37, 84839–84865 (2024)

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.781048Z

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Observation 156d704e-6471-4da7-aee6-93bc846cfbff · outbound

This paper cites MetaMorph: Multimodal Understanding and Generation via Instruction Tuning.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.785326Z

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Observation 6fa5fc57-06b0-4f16-8717-af8e11d5c082 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT LLaMA: Open and Efficient Foundation Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.789984Z

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Observation 13e86d09-b580-4c91-85c1-e1e939b1a488 · outbound

This paper cites GIT: A Generative Image-to-text Transformer for Vision and Language.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT GIT: A Generative Image-to-text Transformer for Vision and Language

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.794530Z

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Observation d8ba14f7-2c9d-4726-9dae-f7f72e8bb025 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Emu3: Next-Token Prediction is All You Need

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.799526Z

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Observation 822f121a-08e4-4812-8312-3a8c711fc542 · outbound

This paper cites Advances in neural information processing systems 35, 24824–24837 (2022).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Advances in neural information processing systems 35, 24824–24837 (2022)

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.804337Z

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Observation 3685fef9-09d7-418d-82dd-18aba2442b36 · outbound

This paper cites TIIF-Bench: How Does Your T2I Model Follow Your Instructions?.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT TIIF-Bench: How Does Your T2I Model Follow Your Instructions?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.808845Z

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Observation 9c154e1f-bf35-468a-a223-c83716a5e8dc · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.813623Z

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Observation 0badafda-fe4e-40e3-8296-7993fe19c30c · outbound

This paper cites Liquid: Language Models are Scalable and Unified Multi-modal Generators.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Liquid: Language Models are Scalable and Unified Multi-modal Generators

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.818219Z

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Observation 69a90652-9296-4717-b9d6-ac399feac4d7 · outbound

This paper cites LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.822761Z

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Observation f5892b2d-71a6-4e88-930a-000fde285d08 · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.827508Z

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Observation a9c6a6ae-21af-4b28-a13a-9b0753dacf1c · outbound

This paper cites VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.832039Z

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Observation 17250bf1-ecbd-4793-a18f-e840eaf8360d · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.836622Z

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Observation 2e0c46c2-9b58-41b2-b13f-984cace1266e · outbound

This paper cites In: Proceedings of the 37th International Conference on Neural Information Processing Systems.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: Proceedings of the 37th International Conference on Neural Information Processing Systems

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:48.910305Z

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Observation b7f83332-4fab-4812-8719-fac5fabfe6ec · outbound

This paper cites Qwen2 Technical Report.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Qwen2 Technical Report

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.845525Z

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Observation 7d37980f-aebf-4ca7-b89b-0ac94dd21b36 · outbound

This paper cites R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.849590Z

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Observation a95bc10c-3846-4a17-99c9-7818b162790d · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.853443Z

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Observation 46dd63e9-ab45-472a-a0cd-0061c70d3001 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.857154Z

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Observation b343df6b-13da-41e4-814f-79326a907175 · outbound

This paper cites In: ICLR 2024 (2024).

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT In: ICLR 2024 (2024)

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:41:48.894460Z

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Observation a2910bc9-8b4e-4c95-a520-84cbf404907b · outbound

This paper cites an unresolved cited work.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:41:48.880056Z

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Observation 8f77bb31-266a-484a-b632-62cd419008ed · outbound

This paper cites MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.868491Z

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Observation 4c479a0d-e9fd-4f68-b5af-8ea113e653b4 · outbound

This paper cites Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.872272Z

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Observation 1107dff6-57bc-4278-be39-0640a759363d · outbound

This paper cites EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.876859Z

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Observation 8eb1f15b-2349-4ac8-9745-3c3c63c941c0 · outbound

This paper cites MoVA: Adapting Mixture of Vision Experts to Multimodal Context.

T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT MoVA: Adapting Mixture of Vision Experts to Multimodal Context

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T04:41:47.881363Z

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Pith citing papers

Observation 93443880-4fe7-4bd2-ac50-24776bf0f423 · inbound

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models cites this paper.

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 193

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:12.930967Z

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Observation e370a414-200a-46aa-87af-6c6bcee4645d · inbound

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation cites this paper.

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:10.738161Z

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Observation 6cae1717-2a14-4e02-8196-c49abafb20a8 · inbound

Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO cites this paper.

Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:52.031634Z

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Observation 7ee20ec3-bc98-4ba6-beea-86807f72809f · inbound

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning cites this paper.

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:03.893674Z

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Observation a5699b35-3f0e-46a0-a48a-9bed8c3207cb · inbound

VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.

VeriThinker: Learning to Verify Makes Reasoning Model Efficient T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:11.989658Z

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Observation 05c39cc4-c44a-450b-a593-856d3763aeb0 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:19.216711Z

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Observation de49025f-2bac-4931-abef-4fb98952154d · inbound

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation cites this paper.

Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:37.175516Z

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Observation e2cad6bb-c177-4a4d-92bb-14b35ea8cfc2 · inbound

Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization cites this paper.

Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:52.609011Z

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Observation 804ffdb4-d090-4c42-9dc0-ddf05b948e29 · inbound

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:48:51.964061Z

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Observation 3fc4fcca-8607-4d3f-89b2-1a62594e9e94 · inbound

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation cites this paper.

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:18:33.312078Z

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Observation f3bd3219-bc58-467c-8528-8baebc2508fa · inbound

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time cites this paper.

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:41.646136Z

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Observation d51ba9b8-8998-4242-9582-26b28514a842 · inbound

TIIF-Bench: How Does Your T2I Model Follow Your Instructions? cites this paper.

TIIF-Bench: How Does Your T2I Model Follow Your Instructions? T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:20.777967Z

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Observation 40bf3f65-d25c-46a1-a54e-149775932d25 · inbound

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning cites this paper.

MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:49.485230Z

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Unavailable: canonical work link unavailable.

Observation 38bfa069-c6de-4947-9281-2cf7158039a3 · inbound

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL cites this paper.

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:23:12.520489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8cfe678-9952-47c6-8012-f97e01aa4c3f · inbound

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs cites this paper.

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:49.635302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178dfa81-561c-42dd-8a3c-99f3cbd1dca0 · inbound

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards cites this paper.

SUDER: Self-Improving Unified Large Multimodal Models for Understanding and Generation with Dual Self-Rewards T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:27.014921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95ed0bfe-c13f-491e-844b-ef08dfc5a867 · inbound

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning cites this paper.

VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:47.615355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fdf8c54-6038-4419-bf5a-81cc3a9e0dd2 · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:52:10.955016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fdd6b089-cfbe-4c94-aa58-c5a82acd1891 · inbound

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models cites this paper.

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:53.279862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2ac4a8-37f7-4a10-9308-141a84c5d824 · inbound

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation cites this paper.

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T20:44:12.948621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bfec692-9a94-4374-b131-f57acf47d3a7 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:48.297225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 90676a64-8725-46a9-ad1c-173bd31af4e9 · inbound

Interleaving Reasoning for Better Text-to-Image Generation cites this paper.

Interleaving Reasoning for Better Text-to-Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:55:44.903011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0df9d00-b55b-4d79-afa3-129a2bb8ee42 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 238

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:24.554428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56769464-32f3-47a8-8100-d91e911f06b0 · inbound

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking cites this paper.

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T16:43:50.734979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2497ffc9-72aa-4900-8f5f-06a21319f463 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:31.520711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c0655b-8669-40cd-a085-c0ded760ede8 · inbound

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation cites this paper.

RubricRL: Simple Generalizable Rewards for Text-to-Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:15:28.449218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcba91bb-5bb1-40eb-8930-6dce6197526a · inbound

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards cites this paper.

PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:51:29.333727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6f0a055-0c1e-45a7-a062-c0b446be3aee · inbound

MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition cites this paper.

MICo-150K: A Comprehensive Dataset Advancing Multi-Image Composition T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:21:23.320875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8552b6ab-0018-4605-88eb-224b19a75e27 · inbound

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation cites this paper.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T17:06:55.560762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae246701-722a-4b4b-8620-259c8637f152 · inbound

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection cites this paper.

RL-RIG: A Generative Spatial Reasoner via Intrinsic Reflection T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:36:35.327041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 445ecd03-6d81-4967-952f-49821628ec1f · inbound

Demystifying Video Reasoning cites this paper.

Demystifying Video Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T23:27:11.006580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e924498-084f-4499-a413-563005529d2f · inbound

Demystifying Video Reasoning cites this paper.

Demystifying Video Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T02:33:55.036331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0762839f-e757-4b11-8c03-a1cbfd36deec · inbound

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation cites this paper.

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:50:37.081599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fadf1c3-1b51-486d-a12d-1bece5cf3e67 · inbound

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward cites this paper.

Saliency-R1: Enforcing Interpretable and Faithful Vision-language Reasoning via Saliency-map Alignment Reward T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:47.910406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c2a2f93-6c03-460c-b878-df31db549271 · inbound

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning cites this paper.

Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:10:53.770009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85cfe501-6a2e-483f-babf-6e7dfb06f060 · inbound

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation cites this paper.

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:40:58.322357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32398d84-a1b8-4dc5-ab41-03e62cacbfa1 · inbound

SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models cites this paper.

SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:04.017345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 660225a3-82dc-469d-bbf7-5c2231f9b071 · inbound

Meta-CoT: Enhancing Granularity and Generalization in Image Editing cites this paper.

Meta-CoT: Enhancing Granularity and Generalization in Image Editing T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:19.265561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06a5e778-a0da-47f8-bcef-b1239457f0fe · inbound

UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning cites this paper.

UniPath: Adaptive Coordination of Understanding and Generation for Unified Multimodal Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:04.902778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f0c0e66-c649-4492-a547-51f1d73998bb · inbound

Cutting rules in strong field QED with application to trident pair production cites this paper.

Cutting rules in strong field QED with application to trident pair production T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T16:57:23.214654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6700c57-373d-48c6-b095-86a15dd7376c · inbound

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation cites this paper.

OmniNFT: Modality-wise Omni Diffusion Reinforcement for Joint Audio-Video Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:17:22.912538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a825db6b-d8f2-443c-b838-5dff0e8bc6a7 · inbound

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning cites this paper.

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:37:39.653920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8cf2ff7-5bbb-4039-b5d4-d5151e5ae00d · inbound

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.136936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55c3b928-e57c-43d2-8d59-d8c3732ebdce · inbound

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment cites this paper.

AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:21.473886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca4cf6d2-d980-4039-8557-4a92afa9714f · inbound

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution cites this paper.

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:49:40.939540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 450a6df2-ca55-44c7-9a81-619c53954b53 · inbound

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations cites this paper.

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:26:09.909567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 677e36ff-5cb3-4c67-b06f-e1b99c6593f2 · inbound

Toward Native Multimodal Modeling: A Roadmap cites this paper.

Toward Native Multimodal Modeling: A Roadmap T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 191

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:04:01.801590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 284535c7-d273-4ca5-a1f0-286ab423d777 · inbound

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization cites this paper.

Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.308162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60152a42-4a23-4706-81f8-aaca9d024cad · inbound

GenClaw: Code-Driven Agentic Image Generation cites this paper.

GenClaw: Code-Driven Agentic Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:43:13.932216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e41e694-401b-4ea4-a1c0-b39ec79e72f4 · inbound

UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation cites this paper.

UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:06:29.453307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce2df6d0-897a-4bb5-9fa2-e0a3a638a0c1 · inbound

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation cites this paper.

MetaPoint: Unlocking Precise Spatial Control in Agentic Visual Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:26:47.770694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a1e2b285-67a1-4652-a09b-e2a579ad066b · inbound

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning cites this paper.

MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical Reasoning T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:18:57.753638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation df34f479-10fc-481a-af36-9d2337570a3a · inbound

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation cites this paper.

PortraitGen: Exemplar-Driven GRPO with Dual-Reward Guidance for Photorealistic Portrait Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:50.901975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f767ac3f-ceb9-43fe-a6ca-11abd55c120e · inbound

Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist cites this paper.

Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:45:42.046656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.