Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:54.220222Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2507.02321.
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 2026-08-06T20:35:54.220222Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T10:47:22.111357Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:36:27.320514Z
45 of 45 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 36a3d54b-6f99-4e8c-b0f2-0c7b77895d91 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 1
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Observation 6b4632af-188b-4b6f-b8d6-efe4715ade8f · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Adding conditional control to text-to-image diffusion models
Reference 2
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Unavailable: canonical work link unavailable.
Observation e0a103da-e02b-400c-ba1c-708af90c3546 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Reference 3
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Unavailable: canonical work link unavailable.
Observation 4c81f357-ae0e-49e4-a19f-be14bea1fbeb · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback: Project Page: liming-ai
Reference 4
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Observation 343056b2-3b41-451d-8cbe-ae0710410cc6 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling
Reference 5
Source-reported events for the cited work
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Observation af2b2fa6-d007-47b9-a69e-66ffdac07626 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Denoising diffusion probabilistic models
Reference 6
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Unavailable: canonical work link unavailable.
Observation 5971fe87-45e3-4af1-bc62-fa56c7f15b22 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Denoising Diffusion Implicit Models
Reference 7
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Observation 7c13a7d1-7fab-4a90-9b76-7ca08dfe365e · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Diffusion models beat gans on image synthesis
Reference 8
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Observation fa84931d-d19a-432b-990e-8b9f831d1107 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Deep unsuper- vised learning using nonequilibrium thermodynamics
Reference 9
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Observation 5a81e00c-8471-42b8-b936-7ef4c26b2f01 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 10
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Observation b918a55e-1b70-4f23-acc5-b278d5d8856e · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Zero-shot text-to-image generation
Reference 11
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Observation 6fa6221d-33d1-4be7-8655-ef56f987d737 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback High- resolution image synthesis with latent diffusion models
Reference 12
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Observation 54958643-4533-43aa-aa33-179d7f9fd828 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Photorealistic text-to-image diffusion models with deep language understanding
Reference 13
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Observation b08804e5-8ff5-4084-b159-68d3b0b1c927 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Reference 14
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Observation 18b9f45e-8175-4f4a-b3e3-4a13efa3c54d · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 15
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Unavailable: canonical work link unavailable.
Observation 51876550-2700-4d03-8a44-ba567216a1d6 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Cocktail: Mixing multi-modality control for text-conditional image generation
Reference 16
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Observation 493b943d-5f7d-4e00-b84f-b779852fd43d · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Composer: Creative and Controllable Image Synthesis with Composable Conditions
Reference 17
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Unavailable: canonical work link unavailable.
Observation 6817ac18-a19f-4c93-aef8-dabb0e74b87d · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems
Reference 18
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Observation d29f8acf-1c65-4a8b-94c2-3eba77a736cc · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Relactrl: Relevance-guided efficient control for diffusion transformers
Reference 19
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Observation 0254e3da-9d39-4408-876e-b64a853291e0 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Uni-controlnet: All-in-one control to text-to-image diffusion models
Reference 20
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Observation 244f393a-58ff-4d2c-8f13-d54703c61389 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Reference 21
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Observation 00051692-5970-4a13-aaa0-090f4d048241 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
Reference 22
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Observation 1a33835f-19c3-4a6d-b1dc-6dfd2f29a28e · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Label-Efficient Semantic Segmentation with Diffusion Models
Reference 23
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Observation 36b10831-eb2b-4b82-b2b1-97acb59f3dcb · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Unsupervised semantic correspondence using stable diffusion.Advances in Neural Information Processing Systems, 36:8266–8279, 2023
Reference 24
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Observation 89e1f53c-5f7d-4ac5-8f55-92c05ff80f58 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Text-to-image diffusion models are zero shot classifiers
Reference 25
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Observation 9c4e2dac-5861-42d8-997c-587a4266f995 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Diffusion model as representation learner
Reference 26
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Observation a90af4f5-6b70-4224-99f0-e9025975a2df · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Denoising diffusion autoencoders are unified self-supervised learners
Reference 27
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Observation ef68fce8-dcc5-4be5-ba3c-c8e514ffd416 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Emer- gent correspondence from image diffusion
Reference 28
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Observation d0699aa1-f24e-4543-b26f-b4d04a6e09c3 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Clean- DIFT: Diffusion Features without Noise
Reference 29
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Observation ef7cd397-221e-46ab-bc58-3da91cf42e11 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Reference 30
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Observation 8f161918-5091-4ebb-b847-f32c59fa174c · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Reference 31
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Observation 470a2e14-431c-45b1-91fa-66608f9ded23 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Your diffusion model is secretly a zero-shot classifier
Reference 32
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Observation 8d1b51de-11a9-42b1-afbd-6b8f53c9c2bb · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Diffusiondet: Diffusion model for object detection
Reference 33
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Observation 660801c3-b60b-4d54-871a-aeed6e9857b7 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Readout guidance: Learning control from diffusion features
Reference 34
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Observation bb614008-3af6-426d-87ec-9152aa2875e9 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Diffusion hyperfeatures: Searching through time and space for semantic correspondence
Reference 35
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Observation c2240105-1dcb-4fbb-be11-0800b15491af · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Distillation of diffusion features for semantic correspondence
Reference 36
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Observation ab039658-8d40-4ea9-be9b-00236b98d801 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
Reference 37
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Observation b4bb6863-4f77-4ba0-aa00-7063037e838a · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback X-adapter: Adding universal compatibility of plugins for upgraded diffusion model
Reference 38
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Observation 22be1095-d574-4829-91ac-756597ef4fbe · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
Reference 39
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Unavailable: canonical work link unavailable.
Observation 7fec33fc-7041-455c-8ef4-505b94ee08a0 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Gligen: Open-set grounded text-to-image generation
Reference 40
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Observation e7a4a8f5-3196-4144-a030-2a1b9c8f69b7 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 41
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Observation e5abe342-03dc-469b-93c5-04ee955b03dd · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Vision transformers for dense prediction
Reference 42
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Observation 7634f2c2-fc5c-46a9-bbd7-2e61477a013f · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Gans trained by a two time-scale update rule converge to a local nash equilibrium
Reference 43
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Observation 0b0ae502-40eb-4ee8-8cc0-368f9b7345b0 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Diffusers: State-of-the-art diffusion models
Reference 44
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Observation 38e96513-a6ba-4463-b95f-78eaba3dd035 · outbound
Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback Deep residual learning for image recognition
Reference 45
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Observation b68a331c-fa61-4122-9cf5-aa4253609438 · inbound
Reflection Separation from a Single Image via Joint Latent Diffusion Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback
Reference 22
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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.