Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:39.970120Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2411.17949.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:39.970120Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:08.846411Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:59:30.025058Z
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8ed0b0f9-74fa-4ea2-8cd7-490de869e356 · outbound
ROICtrl: Boosting Instance Control for Visual Generation GPT-4 Technical Report
Reference 1
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Observation b2ddeb2d-b559-4e71-830e-f5dc048f7edd · outbound
ROICtrl: Boosting Instance Control for Visual Generation Improving image generation with better captions
Reference 2
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Observation e6c5b706-1313-4f46-800d-584d5dca3b4c · outbound
ROICtrl: Boosting Instance Control for Visual Generation Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models
Reference 3
Source-reported events for the cited work
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Observation 851dafb2-ceb0-48dc-9956-dc052a780c3a · outbound
ROICtrl: Boosting Instance Control for Visual Generation Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models
Reference 4
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Observation 84b61950-ceea-4c69-8b75-7ba265f3ba47 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Training-free layout control with cross-attention guidance
Reference 5
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Observation 2d0db3c4-c9ad-4ef5-9ae1-ac5df4a1982a · outbound
ROICtrl: Boosting Instance Control for Visual Generation Yolo-world: Real-time open-vocabulary object detection
Reference 6
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Observation 1e5b3a67-1b87-4b0f-aac9-5059b746a541 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Reference 7
Source-reported events for the cited work
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Observation c9908465-4520-42e3-aa2e-532d8ecbad80 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Imagenet: A large-scale hierarchical image database
Reference 8
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Observation 4b7a1933-0c08-465e-801e-036ba6507a78 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 9
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Observation d53494ca-a47f-4212-ade4-35c0e9993e56 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Muffin or chihuahua? challenging multimodal large lan- guage models with multipanel vqa
Reference 10
Source-reported events for the cited work
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Observation bcff9687-cceb-4d5d-bd88-d0102325d492 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Reference 11
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Observation 2fcd9b07-2722-400d-b46c-affdf110ea49 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Ranni: Taming text-to-image diffu- sion for accurate instruction following
Reference 12
Source-reported events for the cited work
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Observation fcd1968c-67b0-4456-bd70-fd12bf6b028d · outbound
ROICtrl: Boosting Instance Control for Visual Generation Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Reference 13
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Observation 1cf908cd-288a-4322-bd07-5791109738d7 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models
Reference 14
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Observation c1fa88ad-dc96-43a3-96cc-409d02f60efc · outbound
ROICtrl: Boosting Instance Control for Visual Generation Videoswap: Customized video subject swapping with interactive semantic point cor- respondence
Reference 15
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Observation 52766ff4-f3a1-43fe-8a8c-b0b347fef4c6 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Deep residual learning for image recognition
Reference 16
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Observation df9e580e-a19d-42e0-a117-43ea94d75065 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Mask r-cnn
Reference 17
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Observation dd944c4d-09f1-45c3-8f06-eb97d99dcb92 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Localized Text-to-Image Generation for Free via Cross Attention Control
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09c2bb89-bfc2-4e25-8fac-e9a227f08b69 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Prompt-to-Prompt Image Editing with Cross Attention Control
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f43f950e-b6be-44af-af7f-5e59d8447c3a · outbound
ROICtrl: Boosting Instance Control for Visual Generation Imagen Video: High Definition Video Generation with Diffusion Models
Reference 20
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Unavailable: canonical work link unavailable.
Observation 838d0802-96f1-40dc-811b-738fce188ea4 · outbound
ROICtrl: Boosting Instance Control for Visual Generation YOLO by Ultralytics, 2023
Reference 21
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Observation 6d1f8a2f-e672-4060-b7b2-9e3a5dddd19c · outbound
ROICtrl: Boosting Instance Control for Visual Generation Dense text-to-image generation with attention modulation
Reference 22
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Observation 43e4dcc1-edd1-4963-93f4-1470f3921633 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Imagenet classification with deep convolutional neural net- works
Reference 23
Source-reported events for the cited work
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Observation b52e1405-0603-4e60-9bce-29320f710cc7 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Gligen: Open-set grounded text-to-image generation
Reference 24
Source-reported events for the cited work
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Observation fdc41500-fa0c-44a7-85e6-271f7231b0c1 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Microsoft coco: Common objects in context
Reference 25
Source-reported events for the cited work
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Observation 5b238b27-e0ca-4d72-bf8e-94a64a066fa8 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Feature pyra- mid networks for object detection
Reference 26
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Observation d9ad8a63-0963-4f7e-a84b-4f6740035c19 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 27
Source-reported events for the cited work
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Observation a280c165-d517-4690-b33d-02548f16a97c · outbound
ROICtrl: Boosting Instance Control for Visual Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 28
Source-reported events for the cited work
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Observation edaa496d-e7e6-40fe-8b6a-608f0701c0c3 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Compositional Text-to-Image Generation with Dense Blob Representations
Reference 29
Source-reported events for the cited work
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Observation d167d0ec-e031-4481-aab0-71da1980ceea · outbound
ROICtrl: Boosting Instance Control for Visual Generation Pytorch: An im- perative style, high-performance deep learning library
Reference 30
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Observation adef5937-f617-4ca3-ba99-3ce143cc5544 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Scalable diffusion models with transformers
Reference 31
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Observation 529065ab-aacb-4fef-b99f-6ced8417291a · outbound
ROICtrl: Boosting Instance Control for Visual Generation Grounded text-to-image synthesis with attention refocusing
Reference 32
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Observation 4d56004f-e653-40b7-9101-170aa0171cf7 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Learning transferable visual models from natural language supervi- sion
Reference 33
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Observation 4b58470b-0921-425f-b288-d9326620d27b · outbound
ROICtrl: Boosting Instance Control for Visual Generation Faster r-cnn: Towards real-time object detection with region proposal networks
Reference 34
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Observation 1e68f177-65aa-4148-8cc6-77b258fed556 · outbound
ROICtrl: Boosting Instance Control for Visual Generation High-resolution image synthesis with latent diffusion models
Reference 35
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Observation 9b2a81b7-a36a-4bef-9d32-8fedb86dcf64 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Photorealistic text-to-image diffusion models with deep language understanding
Reference 36
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Observation bdce4b3b-f0b4-4472-9d6f-72c9a1ae8956 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Denoising Diffusion Implicit Models
Reference 37
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Observation 48421942-bc02-45cc-8656-ff92a0c3010e · outbound
ROICtrl: Boosting Instance Control for Visual Generation Anti-dreambooth: Pro- tecting users from personalized text-to-image synthesis
Reference 38
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Observation 044f671b-d9a3-40e3-8bbe-846afe223d89 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Boximator: Generating Rich and Controllable Motions for Video Synthesis
Reference 39
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Observation d929fd78-ac00-4821-bd14-83e558a38b76 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Instancediffusion: Instance- level control for image generation
Reference 40
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Observation bbbe3d1c-9741-4d7d-adb8-107d42e4de6a · outbound
ROICtrl: Boosting Instance Control for Visual Generation Motionctrl: A unified and flexible motion controller for video generation
Reference 41
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Observation c200696b-e6be-4b25-a3c5-6388612b3f5f · outbound
ROICtrl: Boosting Instance Control for Visual Generation Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation
Reference 42
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Observation 38f49aad-8a76-4e96-94dd-60137fed4901 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Boxdiff: Text-to-image synthesis with training-free box-constrained 10 diffusion
Reference 43
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Observation f3b20bd4-ab32-4388-97d8-7ebe683bca94 · outbound
ROICtrl: Boosting Instance Control for Visual Generation MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Reference 44
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Observation c3a4c1df-4176-468d-b1a6-b8eb35f9c433 · outbound
ROICtrl: Boosting Instance Control for Visual Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 45
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Observation 42e96123-5358-45b8-aaf7-ac1b66b67895 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
Reference 46
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Observation b2c90084-be1f-4ff8-9c87-2516b91cf69e · outbound
ROICtrl: Boosting Instance Control for Visual Generation Adding conditional control to text-to-image diffusion models
Reference 47
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Observation 4b6b6ab8-a74b-4115-ad90-3940336bd967 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Migc: Multi-instance generation controller for text-to-image synthesis
Reference 48
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Observation 88023092-63c0-4bc3-bf08-9f18255a7c2f · outbound
ROICtrl: Boosting Instance Control for Visual Generation ROICtrl-Bench ROICtrl-Bench contains 200 samples, divided into groups {1, 2, 3, 4, 5, 6-10, 11-15, 16-20, 21-25, 26-30} based on in- stance counts
Reference 49
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Observation cfdf1843-be14-4b69-8bda-d644d5cd0308 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Qualitative Comparison We have demonstrated the qualitative comparison on ROICtrl-Bench in Sec
Reference 50
Source-reported events for the cited work
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Observation 333cdfc2-c753-4f33-9e54-b41b616a4a21 · outbound
ROICtrl: Boosting Instance Control for Visual Generation Limitation Analysis The attribution leakage problem is largely addressed in ROICtrl, as we prioritize using instance captions in the learnable blending process
Reference 51
Source-reported events for the cited work
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Observation 9356d9de-e9d4-44bb-bcb6-f78c65570da9 · inbound
AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation ROICtrl: Boosting Instance Control for Visual Generation
Reference 14
Source-reported events for the cited work
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Observation 5c2e205b-e87c-40e3-9c53-5841b17e5d89 · inbound
FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation ROICtrl: Boosting Instance Control for Visual Generation
Reference 9
Source-reported events for the cited work
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