Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.12954.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:58.852679Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T18:18:13.230350Z
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 d9eeba78-ad92-4252-b897-a9a277a9bd9c · inbound
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation cites this paper.
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:18:13.236428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d2c7423d-821e-4593-be87-022184122e20 · inbound
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models cites this paper.
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:01:58.852679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76cb6cc7-2af4-46e9-a24e-6eba8df7add2 · inbound
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class cites this paper.
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:42:11.054091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.