Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:29:03.765830Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 5 inbound Pith citation observations for arXiv:2411.15393.
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 2026-08-12T14:29:03.765830Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:26:21.935195Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T19:03:06.342366Z
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6d3ccb71-2aa7-4cb6-93e2-eb8029d61de5 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance
Reference 1
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Observation 6496f13a-d11d-4c72-83d3-bd094630343f · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Universal guidance for diffusion models
Reference 2
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Observation 02d0bc13-7da3-4ef0-8cd8-9945f7ab68dd · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Diffusion Posterior Sampling for General Noisy Inverse Problems
Reference 3
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Observation f3e57aa8-af0b-4839-bbae-399de779dfc3 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Stable diffusion
Reference 4
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Observation 9d662bc1-537a-4053-8ccf-3c5a101a9c40 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling ImageNet: A large-scale hierarchical im- age database
Reference 5
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Observation 990c0f59-0023-44ba-af91-21b98d7ef198 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Diffusion models beat GANs on image synthesis
Reference 6
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Observation 64867d05-f45e-455f-baa3-55b666d8568e · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling A smaller subset of 10 easily classified classes from imagenet, and a little more french
Reference 7
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Observation e71f462a-f1de-4354-a18d-fa56a2cfc4f6 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Manifold Preserving Guided Diffusion
Reference 8
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Observation 3811ac98-bdf5-49a7-b331-e9418bf6ff66 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling GANs trained by a two time-scale update rule converge to a local nash equi- librium
Reference 9
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Observation cdf1823a-c587-4f64-8866-2d0201f1021e · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Classifier-free diffusion guidance
Reference 10
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Observation 95cca4f9-163b-4746-8f78-fbbe7d1300fb · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Denoising diffu- sion probabilistic models
Reference 11
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Observation 5d1500f1-abb2-42fc-b830-56b85540d5a2 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Video diffu- sion models
Reference 12
Source-reported events for the cited work
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Observation 3eceb7b5-c6d1-4eb2-ad77-0ecdafe2e941 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
Reference 13
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Observation c7897030-bea5-404b-986d-f1f3e1a9787d · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Improving sample quality of diffusion models us- ing self-attention guidance
Reference 14
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Observation 8c16a5eb-2152-4948-83e2-342112a5e7f1 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Elucidating the design space of diffusion-based generative models
Reference 15
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Observation 5b0482cd-8df4-4a0a-9c3b-b91302950509 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Guiding a Diffusion Model with a Bad Version of Itself
Reference 16
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Observation 1459cb0d-7a02-4790-bf4b-54824ab3dfe0 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Analyzing and improving the training dynamics of diffusion models
Reference 17
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Observation 27ef5477-4c16-48e5-83d4-cad3145c0f17 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Diffwave: A versatile diffusion model for audio synthesis
Reference 18
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Observation 480e4f8a-6ecb-4ab2-9dd7-3ffa0518e6f5 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Reference 19
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Unavailable: canonical work link unavailable.
Observation 5ddc6005-21b1-49b4-b7bd-676ff6e944d5 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Pseudo Numerical Methods for Diffusion Models on Manifolds
Reference 20
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Observation aefb4eb6-54b6-4133-8aa3-9040bfb169fd · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Diffusion probabilistic models for 3d point cloud generation
Reference 21
Source-reported events for the cited work
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Observation 6d7398fc-9c85-4dfe-9159-0091c5de84ee · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 22
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Observation 7a4d6372-0f0b-4cee-a96d-b1e4bb99c2ed · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Arbitrary style guid- ance for enhanced diffusion-based text-to-image generation
Reference 23
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Observation f1d45b83-f067-4a15-b0b3-75f3c5438a8a · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling On aliased resizing and surprising subtleties in gan evaluation
Reference 24
Source-reported events for the cited work
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Observation c87604cc-cfba-459a-9c18-e096cbada60b · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Dif- fusion motion: Generate text-guided 3d human motion by diffusion model
Reference 25
Source-reported events for the cited work
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Observation a70dbc79-ae71-4b7c-9e8b-0d665deb7ad6 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling High-resolution image synthesis with latent diffusion models
Reference 26
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Observation 2347814b-2ac6-4a82-81dd-9cfd64bb9e46 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Palette: Image-to-image diffusion mod- els
Reference 27
Source-reported events for the cited work
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Observation 476150fd-1804-4966-923b-78d162d91136 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Photorealistic text-to-image diffusion models with deep language understanding
Reference 28
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Observation ca603ad7-3a3e-490b-a9f7-669145396729 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Denois- ing diffusion implicit models
Reference 29
Source-reported events for the cited work
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Observation 0bbd5946-28ab-43af-8af7-e7ef78d7ec4b · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Loss-guided diffusion models for plug-and-play controllable generation
Reference 30
Source-reported events for the cited work
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Observation 6359cdbc-adb1-402e-abeb-1e1d110d8682 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Generative modeling by esti- mating gradients of the data distribution.Advances in Neural Information Processing Systems, 32, 2019
Reference 31
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Observation fbe3eaf8-191a-4a39-9ac7-ac6373cd0a7f · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Score-based generative modeling through stochastic differential equa- tions
Reference 32
Source-reported events for the cited work
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Observation 1f238ba2-a682-4d72-b21f-92f538510e68 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
Reference 33
Source-reported events for the cited work
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Observation d8959c08-1eb3-45fe-bb02-73ebe5d7a2d9 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Geometric latent diffusion models for 3d molecule generation
Reference 34
Source-reported events for the cited work
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Observation f3bc2f4d-3854-45f0-8672-2cdf85e7fbef · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling TFG: Unified Training-Free Guidance for Diffusion Models
Reference 35
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Observation c367bfe9-9fbf-43d4-989a-24c995f36b74 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling FreeDoM: Training-free energy-guided condi- tional diffusion model
Reference 36
Source-reported events for the cited work
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Observation 26d316a7-fb94-4d65-80f4-1ec740ee1188 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling To further validate this choice, we also conducted a lossy compression test as in [24] to compare FID and FDDINOv2
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ef11a2a5-b995-4fe2-b023-2e481c40c535 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Class-Conditional Generation: Pseudo Code For Algorithm 1, specifics like timestep t, noise schedule and sampling method are illustrated using DDIM as the example
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 71e717c3-33b9-4d89-ae13-7a22b1cf5097 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Effects of Random Seed Variation The results presented in Table 1 of the main paper were gen- erated using the same random seed for image generation
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 602f31d9-f507-44d5-8b94-97b2c09d0e28 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Additionally, we compare GFCG to the additive method GFCGATG+CFG, which achieves state- of-the-art performance in FD DINOv2 for EDM2-S
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9a711e09-303b-4cdd-a058-562f1d3f99a5 · outbound
Gradient-Free Classifier Guidance for Diffusion Model Sampling Additionally, we also conducted experiments using another popular model, DeepFloyd IF model5 from Stability AI
Reference 41
Source-reported events for the cited work
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Observation d8ad7a8a-2035-47e1-a24e-1cd36abbdeeb · inbound
Visual Generation Without Guidance Gradient-Free Classifier Guidance for Diffusion Model Sampling
Reference 55
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Observation cc81948b-6b77-4080-9da6-08d07737230f · inbound
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Gradient-Free Classifier Guidance for Diffusion Model Sampling
Reference 20
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Observation 771bb458-2025-4a9c-91c0-332fcd6556a8 · inbound
Contrastive Flow Matching Gradient-Free Classifier Guidance for Diffusion Model Sampling
Reference 38
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Observation d3083a3b-af32-4957-aee2-1ef382ba4d43 · inbound
DiffIER: Optimizing Diffusion Models with Iterative Error Reduction Gradient-Free Classifier Guidance for Diffusion Model Sampling
Reference 16
Source-reported events for the cited work
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Observation 34eda9ab-37e5-4bdc-b17c-aa1c7bb73388 · inbound
Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach Gradient-Free Classifier Guidance for Diffusion Model Sampling
Reference 68
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