Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding and Mitigating Copying in Diffusion Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.20086.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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 2026-08-07T13:05:45.487623Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:27:53.591443Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 06f809d4-56a5-4bb0-908a-ffe3ffa2c9a3 · inbound
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis cites this paper.
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Understanding and Mitigating Copying in Diffusion Models
Reference 183
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:27:53.594604Z
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 f391f5bf-92a4-4924-afbe-f4a7b5595414 · inbound
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study cites this paper.
Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study Understanding and Mitigating Copying in Diffusion Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:05:45.487623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3f6fbb6-4473-4982-a7b8-4124eb6fb192 · inbound
Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.
Ambient Diffusion Omni: Training Good Models with Bad Data Understanding and Mitigating Copying in Diffusion Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:16.128742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.