Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:58:26.744761Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2502.09609.
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 2026-08-07T20:58:26.744761Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:36.707250Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:37:37.911402Z
15 of 15 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ac756ec6-55d7-4500-b104-c7df39f23b67 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cf4b2984-9f6f-4d18-b199-c3a723b64ee5 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ee9267db-e24e-4ae9-bf1f-7893de910099 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0d82486-18bf-4091-a42a-f6c30ccc8a07 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions A family of statistical symmetric divergences based on Jensen's inequality
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2f09cd1-a23d-4e0d-89b7-d4867403c08c · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions EM Distillation for One-step Diffusion Models
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c69e73d-d415-43fa-8ced-f02f5bd953f3 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unresolved cited work
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7684469c-5ca4-4287-b633-3bb4e90e4aa9 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Formulation.We take the following unified view in our definition of DPMs as inspired by (Kingma & Gao,
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d0109971-2367-4992-a309-6445f7da760d · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions We thus call the general divergence for α∈(0,1) the α-Le Cam distance
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 60d2a0c0-7702-48b1-b2c8-c1e4889a7fe6 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions This process generates noise-image pairs, which are then used to further supervise the generator’s training
Reference 1956
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2cc7d592-b300-4488-98b4-71309dc46187 · outbound
Reference 2009
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9ebf1224-2a8d-4a62-9fdd-576c270d51c6 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Several years later, Ho et al
Reference 2014
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 78ce272a-c56e-478a-8cda-21e52796ae82 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Reference 2017
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2aff87c6-cbd7-418f-8006-b4f0b9e42b37 · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Karras, T., Aittala, M., Aila, T., and Laine, S
Reference 2021
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0f8f5815-5a7c-4ec6-990e-058cc41c35fd · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f99a38ae-dc2f-4058-abe6-87e344235b1b · outbound
Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions Unlike distillation techniques, consistency models can also be trained from scratch
Reference 2025
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 9fd09456-b7ef-4251-896b-ef3def34f634 · inbound
Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis Score-of-Mixture Training: Training One-Step Generative Models Made Simple via Score Estimation of Mixture Distributions
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.