Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Improving Diffusion Models with Synthetic Data
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2408.16333.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:32:38.921363Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:57:26.356493Z
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 58bcf62a-993c-4620-80b1-7d113f91e3bb · inbound
Guiding a diffusion model using sliding windows cites this paper.
Guiding a diffusion model using sliding windows Self-Improving Diffusion Models with Synthetic Data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:51:59.090185Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72824a8d-669b-4d9e-a0b7-621962ed74fc · inbound
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling cites this paper.
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling Self-Improving Diffusion Models with Synthetic Data
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:35:27.029224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00e3b830-0673-46a0-a0bc-03f7a0b43cbb · inbound
Self-Consuming Generative Models with Adversarially Curated Data cites this paper.
Self-Consuming Generative Models with Adversarially Curated Data Self-Improving Diffusion Models with Synthetic Data
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:32:38.921363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90c89c3c-3095-46e4-9210-6648ff28b19c · inbound
EarthSynth: Generating Informative Earth Observation with Diffusion Models cites this paper.
EarthSynth: Generating Informative Earth Observation with Diffusion Models Self-Improving Diffusion Models with Synthetic Data
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:56.560020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2743595f-189c-49df-bc6f-fe7b70363104 · inbound
Ambient Diffusion Omni: Training Good Models with Bad Data cites this paper.
Ambient Diffusion Omni: Training Good Models with Bad Data Self-Improving Diffusion Models with Synthetic Data
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:12.574668Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ee74af9-34e5-4895-8b66-29aacdeda418 · inbound
ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition cites this paper.
ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition Self-Improving Diffusion Models with Synthetic Data
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:56.274386Z
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 dd5470d8-4585-469e-96a4-28e85f94523b · inbound
ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition cites this paper.
ReSAGE-PAR: Representational Similarity Assessment for Generative Expansion in Pedestrian Attribute Recognition Self-Improving Diffusion Models with Synthetic Data
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:24:28.037992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff6ce845-502f-4f59-bf49-c77d04ed68d3 · inbound
Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance cites this paper.
Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance Self-Improving Diffusion Models with Synthetic Data
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T19:45:00.861965Z
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 9f1dd55a-d2b3-4d1e-9524-5a3b81116528 · inbound
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules cites this paper.
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules Self-Improving Diffusion Models with Synthetic Data
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:57:26.358422Z
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 e55328fd-12d4-445b-b5d7-3e0e842de33b · inbound
A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples cites this paper.
A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples Self-Improving Diffusion Models with Synthetic Data
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T13:23:49.423760Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.