Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T18:48:03.885237Z
Paper Citation Record · LEDGER
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 10 inbound Pith citation observations for arXiv:2509.09680.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T04:09:49.613004Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:54:20.702391Z
Reference resolution
72 of 72 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved72
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f94e70a3-b1a5-48c8-84da-86480cc79bb4 · outbound
This paper cites Qwen2.5-VL Technical Report.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Qwen2.5-VL Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.563904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 43c2b44d-78a7-4e5d-bd7a-5685ed2424ae · outbound
This paper cites Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.570285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e83f8f1-4be9-4566-8f41-c96b1d33e98a · outbound
This paper cites Flux, 2024.
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.574995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44bd8c79-4409-4e9f-91aa-a0c4607246f6 · outbound
This paper cites Flux.1 krea, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Flux.1 krea, 2025
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.579471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01df3abc-a748-4c1f-897a-12ea03a3e2d2 · outbound
This paper cites HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.584164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8744a1d0-620d-4afb-8e54-d2144bda7a69 · outbound
This paper cites Conceptual 12m: Pushing web- scale image-text pre-training to recognize long-tail visual concepts.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Conceptual 12m: Pushing web- scale image-text pre-training to recognize long-tail visual concepts
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.588996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d15c85a-743b-404b-a2bd-92fb6e79b5df · outbound
This paper cites Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42 (4):1–10, 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42 (4):1–10, 2023
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.594301Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e03adb8d-a695-4f2b-a510-211206bdb279 · outbound
This paper cites Textdiffuser: Diffusion models as text painters.Advances in Neural Information Processing Systems, 36:9353–9387, 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Textdiffuser: Diffusion models as text painters.Advances in Neural Information Processing Systems, 36:9353–9387, 2023
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.598554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d11eda94-b037-487d-b91b-fb9edf9641a0 · outbound
This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.602753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d52c7b55-7cc0-4e1a-b710-fc45ed3298d6 · outbound
This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.608245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61fb0654-ee82-4366-9b49-ebdf97ab9ccb · outbound
This paper cites PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.613130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 493d2111-f5c4-4ee3-847f-f6256d730c5a · outbound
This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.618107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e079fd0-bf99-4dbb-9b5a-b28863b6d373 · outbound
This paper cites Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.622457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 102199fd-c156-441e-b7d0-d8e8ef9efe48 · outbound
This paper cites Emerging Properties in Unified Multimodal Pretraining.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Emerging Properties in Unified Multimodal Pretraining
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.626833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aa4c4a5-d4bd-4dba-a56a-700e5605e989 · outbound
This paper cites GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.631140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c2c9c9f-153d-4808-aad0-f3dc622ed302 · outbound
This paper cites Scaling rectified flow transformers for high-resolution image synthesis.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Scaling rectified flow transformers for high-resolution image synthesis
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.635989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3c5cd98-926e-4ae3-afbd-c637bb033a3c · outbound
This paper cites PUMA: Empowering Unified MLLM with Multi-granular Visual Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.640677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15feb0bb-9423-4260-a030-ccd50ba0b956 · outbound
This paper cites GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.645811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f6fadec-312e-44c2-b44d-623bec1bce2f · outbound
This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.650851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66c32426-e674-488e-8e1d-aaad6cc0f225 · outbound
This paper cites Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.655845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a359ab1-f411-42fc-9429-91ab5da67e97 · outbound
This paper cites Datacomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Systems, 36:27092–27112, 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Datacomp: In search of the next generation of multimodal datasets.Advances in Neural Information Processing Systems, 36:27092–27112, 2023
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.661172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22dd52d8-9ef1-4103-bfb2-6d994cfa619d · outbound
This paper cites Seedream 3.0 Technical Report.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Seedream 3.0 Technical Report
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.665647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d147607-e9e8-4fc6-9e11-1252bb0c4383 · outbound
This paper cites Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132– 52152, 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Geneval: An object-focused framework for evaluating text-to-image alignment.Advances in Neural Information Processing Systems, 36:52132– 52152, 2023
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.670397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20adb2b8-4782-4348-8e6b-348dc4ba1ab5 · outbound
This paper cites Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.674844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7103d71-2262-4a62-a77e-d9d3114b67ba · outbound
This paper cites Gemini2.5-pro, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Gemini2.5-pro, 2025
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.679408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4855d2b-abd7-4496-988e-e78d7d438bb5 · outbound
This paper cites Imagen4, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Imagen4, 2025
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.683844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88f7b782-fd25-43b6-a00a-426d7ba02dfe · outbound
This paper cites Gemini2.5-flash-image, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Gemini2.5-flash-image, 2025
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.688106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f050f52b-e189-4d85-9826-0aa32acfc810 · outbound
This paper cites EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.692481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f6cefc9-a127-45e4-9762-eedb1cfcf7f9 · outbound
This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.697231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d3674176-1a2c-4c13-a57e-88a56dbbaee2 · outbound
This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.701850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0fb7470-f858-49c1-a777-2b6f6d7da733 · outbound
This paper cites Scaling up vision-language pre-training for image captioning.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Scaling up vision-language pre-training for image captioning
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.706247Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb319ba8-5638-4b97-a767-a9b0cb625bb2 · outbound
This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.710756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d87c14be-6654-48a6-9516-ba005052566b · outbound
This paper cites Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answer- ing.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answer- ing
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.715302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7fce712-9928-48a5-b394-133de9993800 · outbound
This paper cites T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation.Advances in Neural Information Processing Systems, 36:78723–78747, 2023
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.719868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7944bef0-bd39-4828-a8ff-83ebf1886063 · outbound
This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Scaling up visual and vision-language representation learning with noisy text supervision
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.724083Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19fe8c2c-f8bf-4602-a64b-228326cd7725 · outbound
This paper cites Genetic k-means algorithm.IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 29(3):433–439, 1999.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Genetic k-means algorithm.IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 29(3):433–439, 1999
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.728017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 817fe4d2-c078-4b26-b7d9-ae1f0aec9d92 · outbound
This paper cites GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.732027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6ce2eb6-4a67-476f-b610-2c536fc11828 · outbound
This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.736630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b371269d-14db-4774-babd-8ae7f7a9625d · outbound
This paper cites Oscar: Object-semantics aligned pre-training for vision-language tasks.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Oscar: Object-semantics aligned pre-training for vision-language tasks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.741275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0356551c-13d7-480c-8ac5-f129a797c09f · outbound
This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.745641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c24289ca-fdc0-419f-a700-62dc2927313b · outbound
This paper cites Nuwa-infinity: Autoregressive over autoregressive generation for infinite visual synthesis.Advances in Neural Information Processing Systems, 35:15420–15432, 2022.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Nuwa-infinity: Autoregressive over autoregressive generation for infinite visual synthesis.Advances in Neural Information Processing Systems, 35:15420–15432, 2022
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.749799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2157b36c-7885-484e-a4f1-3c621f24ba8b · outbound
This paper cites Evaluating text-to-visual generation with image-to-text generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Evaluating text-to-visual generation with image-to-text generation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.754532Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ca082a6-7773-467d-af2e-1bcf828cd6e2 · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.759187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dda439af-19b4-429b-938c-c35248794e9a · outbound
This paper cites Summarizing emotions from text using plutchik’s wheel of emotions.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Summarizing emotions from text using plutchik’s wheel of emotions
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.764203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d5ed760-fcb6-457c-a127-e274c368c6a3 · outbound
This paper cites Gpt-4.1, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Gpt-4.1, 2025
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.768998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14637733-d07d-4f0d-a3a7-94d010d9e8fa · outbound
This paper cites Gpt-image-1, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Gpt-image-1, 2025
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.773709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8bc7723-71da-420b-afb6-57ca6ea7c95e · outbound
This paper cites Dall·e 3, September 2023.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Dall·e 3, September 2023
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.778454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20cb7434-a7c0-466f-a31e-d8119da7e8d8 · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.782559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbbeac40-3f01-459a-84ed-0493b3223119 · outbound
This paper cites Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Lumina-Image 2.0: A Unified and Efficient Image Generative Framework
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.787032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2299ed6-5290-44bf-9101-c6001ce104c8 · outbound
This paper cites High- resolution image synthesis with latent diffusion models.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark High- resolution image synthesis with latent diffusion models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.791588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b83a60-5eb1-4ff5-8eb9-0d3a3afa232f · outbound
This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294, 2022
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.795622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb70cb03-f76e-4543-bde6-2c52f6442a69 · outbound
This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.799595Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a40919a6-6724-4fa7-b093-3f5f9d14a557 · outbound
This paper cites From Pixels to Prose: A Large Dataset of Dense Image Captions.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark From Pixels to Prose: A Large Dataset of Dense Image Captions
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.803853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 767ffcd6-8a63-472b-838c-284ae1be0a57 · outbound
This paper cites Stable diffusion 2.1, 2022.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Stable diffusion 2.1, 2022
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.808078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8ce336c-b8b7-4bfa-a370-63d1d229dd7f · outbound
This paper cites Stable diffusion 3, 2024.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Stable diffusion 3, 2024
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.812209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6437c0c5-32ed-4980-8808-28a8ca0458c8 · outbound
This paper cites Stable diffusion 3.5, 2024.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Stable diffusion 3.5, 2024
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.816335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05a59200-9ff6-43f0-b1f9-ba3cd7497707 · outbound
This paper cites T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.820245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d54b302-4927-4779-9b8d-1947f2a21fa7 · outbound
This paper cites Journeydb: A benchmark for generative image understanding.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Journeydb: A benchmark for generative image understanding
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.824740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8dfc13f-ab11-4415-b4fb-afc6ddb6ecd0 · outbound
This paper cites AnyText: Multilingual Visual Text Generation And Editing.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark AnyText: Multilingual Visual Text Generation And Editing
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.828806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9314c1d1-ec1f-4db1-867a-30d8c7dfebc2 · outbound
This paper cites Textatlas5m: A large-scale dataset for dense text image generation.arXiv preprint arXiv:2502.07870, 2025.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Textatlas5m: A large-scale dataset for dense text image generation.arXiv preprint arXiv:2502.07870, 2025
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.832885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a952e4b-07f4-4ffa-92fe-5179ad069cae · outbound
This paper cites Nuwa: Visual synthesis pre-training for neural visual world creation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Nuwa: Visual synthesis pre-training for neural visual world creation
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.836817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d331a1d-46c9-4d4d-b0a4-e012fdae3b65 · outbound
This paper cites Qwen-Image Technical Report.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Qwen-Image Technical Report
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.840789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41db8f31-f4b4-4a70-b193-2734420b0857 · outbound
This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark OmniGen2: Towards Instruction-Aligned Multimodal Generation
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.845193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938a92ab-78fd-47e7-a096-b670c3016288 · outbound
This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.849652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8d8bce3-6b48-4a3e-9891-050a87ba4cf2 · outbound
This paper cites Conceptmix: A com- positional image generation benchmark with controllable difficulty.Advances in Neural Information Processing Systems, 37:86004–86047, 2024.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Conceptmix: A com- positional image generation benchmark with controllable difficulty.Advances in Neural Information Processing Systems, 37:86004–86047, 2024
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.854018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29c414a0-efcf-470c-a956-7d6eb10b54d1 · outbound
This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.858574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6ece735-e814-416a-ba27-7dc34e34b37f · outbound
This paper cites Show-o2: Improved Native Unified Multimodal Models.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Show-o2: Improved Native Unified Multimodal Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.862906Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db94fd1b-4d1a-4e33-80da-4069954ad002 · outbound
This paper cites Qwen3 Technical Report.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Qwen3 Technical Report
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.867345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6030455-2072-4d5c-8360-fa3b2aee2280 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.872017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5216cd83-fb07-494a-a7c0-8828e1a8916c · outbound
This paper cites Capsfusion: Rethinking image-text data at scale.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Capsfusion: Rethinking image-text data at scale
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.876743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 700b9ab6-fd88-4774-99c9-fa3b8739461a · outbound
This paper cites VinVL: Revisiting Visual Representations in Vision-Language Models.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark VinVL: Revisiting Visual Representations in Vision-Language Models
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.880972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8da24999-f075-454c-88ba-faedb3fde794 · outbound
This paper cites Lumina-next: Making lumina-t2x stronger and faster with next-dit.Advances in Neural Information Processing Systems, 37:131278–131315, 2024.
FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark Lumina-next: Making lumina-t2x stronger and faster with next-dit.Advances in Neural Information Processing Systems, 37:131278–131315, 2024
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T18:48:03.885237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation a2d368cc-6e46-4376-b939-0cb33154a5af · inbound
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:08:37.030219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6b6f9400-4ee2-466a-9de1-97b015cb413c · inbound
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer cites this paper.
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:47:31.327318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fce86933-3f87-4417-89e9-eac9301d2ba8 · inbound
Guiding Token-Sparse Diffusion Models cites this paper.
Guiding Token-Sparse Diffusion Models FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:50:55.743597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dccef82-3cf6-4e2a-b349-6088b0cc0d1d · inbound
Self-Adversarial One Step Generation via Condition Shifting cites this paper.
Self-Adversarial One Step Generation via Condition Shifting FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:11:01.970606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d77b53bb-b502-4f90-a876-656d0aa4aa6a · inbound
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model cites this paper.
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.344114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation df3ef91b-bdce-4eab-b933-b60bd3102b55 · inbound
InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation cites this paper.
InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:13:30.594327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fe9d9296-2407-4e88-90a3-9ca455a86712 · inbound
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning cites this paper.
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:37:39.647701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6850081c-98f7-4258-831d-423ea5956fb1 · inbound
SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation cites this paper.
SciIR: A Large-scale Training Dataset and Benchmark for Scientific Image Reasoning Generation FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:54:20.704034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0b8bbb34-8a38-4ddd-9730-8cd48d5abea2 · inbound
The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric cites this paper.
The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:42:58.828756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a87f0171-fe34-42dc-86dc-ead1f635dfe0 · inbound
CAPEval: A Decoupled Caption Evaluation across Understanding and Generation cites this paper.
CAPEval: A Decoupled Caption Evaluation across Understanding and Generation FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:09:49.613004Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.