Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2303.02490.
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
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 2026-08-12T00:34:11.670920Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-07T18:04:00.568780Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 830c2f3f-ae5d-4fe9-a27f-4071f0cf3194 · inbound
Improving text-conditioned latent diffusion for cancer pathology Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 23
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Observation 930e9308-789d-4785-a05a-0a06c95d426d · inbound
An analytic theory of creativity in convolutional diffusion models Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 49
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31241d69-f9d9-4706-ac91-01b40355f568 · inbound
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a249a001-cd9e-4476-8b81-f1859f3315b9 · inbound
An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 22
Source-reported events for the cited work
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Observation 4c993c3c-b22c-42fa-82a7-98a99c867f10 · inbound
Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 35
Source-reported events for the cited work
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Observation e42cd56e-114d-4645-88fe-a4b0dcc34f40 · inbound
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 40
Source-reported events for the cited work
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Observation 91322dbb-1501-4301-80a5-eca3c2c74b1d · inbound
Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 3673
Source-reported events for the cited work
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Observation 5d35cada-968a-4d54-96ba-39d33380fd15 · inbound
Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 14
Source-reported events for the cited work
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Observation 693ed664-00d9-4b76-94a4-258210f5555c · inbound
Cross-Resolution Distribution Matching for Diffusion Distillation Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 42
Source-reported events for the cited work
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Observation 13e6db5c-6c3b-4179-a84e-0591d4fdd4e9 · inbound
Inference-time Trajectory Optimization for Structure-Preserving Manga Image Editing Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 37
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Observation 82968527-4f9a-4b4d-bd8e-04a1579ad575 · inbound
The two clocks and the innovation window: When and how generative models learn rules Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 74
Source-reported events for the cited work
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Observation 566c1fa0-13ba-4560-b788-33707db97d0e · inbound
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a4cf950-35f6-48e0-adbf-17f14a4b28c3 · inbound
Colored Noise Diffusion Sampling Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 05e43ab3-7eb1-414e-ba32-75829467010b · inbound
A Systematic Study of Behavioral Cloning for Scientific Data Annotation Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 298
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Observation 9529792b-e030-45f5-8013-6846b254bef2 · inbound
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 51
Source-reported events for the cited work
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Observation 24ece464-0e95-45bd-bdf4-3c814d561639 · inbound
Statistical Properties of Training & Generalization Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 210
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26a8921c-7716-4dae-aac5-20c4ba7e39e7 · inbound
Statistical Properties of Training & Generalization Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 210
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c17485e1-e930-4613-b80e-e2dc24254f3f · inbound
Intermediate Text Representation Guided Text-to-Image Generation for Enhancing One-and-Only Alignment Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b2da9b1c-cee5-4825-8063-ad06e0a83be1 · inbound
Conversational Human Audio-visual Talking Dialogue Generation Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 63
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53944533-c31c-4bdc-814b-49456bb31fe7 · inbound
Steering Optimisation Trajectories in Diffusion Representation Learning Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 81
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d790b8e2-119d-4a6b-9063-562503cc1936 · inbound
CSGen: A Multi-Domain Curvilinear Structure Generation Model via Hierarchical Multimodal Diffusion Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 51
Source-reported events for the cited work
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Observation 7dd71ab9-916b-45da-abc7-24055cf36786 · inbound
Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
Reference 34
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Unavailable: canonical work link unavailable.