Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Feature Learning in Diffusion Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.01021.
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 2026-08-07T13:12:36.894577Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T07:39:49.425945Z
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 8a733580-33fd-48ae-aefb-8fa9b015bcae · inbound
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation On the Feature Learning in Diffusion Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:36.894577Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9471355f-d0fc-4dc3-a845-876620aaefa4 · inbound
Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.
Benign Overfitting in Adversarial Training for Vision Transformers On the Feature Learning in Diffusion Models
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:46:20.621346Z
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 84a2d645-a780-4633-987a-8688db40f861 · inbound
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine cites this paper.
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine On the Feature Learning in Diffusion Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:39:49.428181Z
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.