Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2104.02600.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:51.901830Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T05:36:00.813956Z
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 d7f5fa6e-3399-48db-9b5b-def3b37f4df3 · inbound
High-Resolution Image Synthesis with Latent Diffusion Models Noise Estimation for Generative Diffusion Models
Reference 75
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b10e55da-ef75-4851-9cd6-fffba108a2d0 · inbound
Progressive Distillation for Fast Sampling of Diffusion Models Noise Estimation for Generative Diffusion Models
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ece18379-7061-45b4-881a-9df80e36004f · inbound
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Noise Estimation for Generative Diffusion Models
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b86b04f-34b6-41ce-99c5-26cf766b7993 · inbound
Improved DDIM Sampling with Moment Matching Gaussian Mixtures Noise Estimation for Generative Diffusion Models
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1c57d2c8-12c1-4bc4-9780-bb5b395601ea · inbound
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Noise Estimation for Generative Diffusion Models
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3acc7464-9a0b-4157-a939-0df97a189b57 · inbound
ControlMambaIR: Conditional Controls with State-Space Model for Image Restoration Noise Estimation for Generative Diffusion Models
Reference 57
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c0c25bc-682b-4111-a575-781bf798c677 · inbound
fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting Noise Estimation for Generative Diffusion Models
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38b85b69-5fde-45f2-9566-7cef9e75d3e5 · inbound
Lipschitz-Guided Design of Interpolation Schedules in Generative Models Noise Estimation for Generative Diffusion Models
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1b487298-3bef-493b-8c9c-02314d751f2e · inbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Noise Estimation for Generative Diffusion Models
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33ec4cb7-2e53-455e-9550-6885fe366cb5 · inbound
FeRA: Frequency-Energy Constrained Routing for Effective Diffusion Adaptation Fine-Tuning Noise Estimation for Generative Diffusion Models
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.