Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Edge of Memorization in Diffusion Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2508.17689.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T17:30:44.553225Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:55.233145Z
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 7f94ad81-2841-44e5-87dd-b246c83f6767 · inbound
Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models cites this paper.
Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models On the Edge of Memorization in Diffusion Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:30:44.553225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bf5aa68-eec2-4d8b-9091-80f0e0a521c7 · inbound
Diffusion Models Memorize in Training -- and Generalize in Inference cites this paper.
Diffusion Models Memorize in Training -- and Generalize in Inference On the Edge of Memorization in Diffusion Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T10:54:07.976965Z
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 eaba8706-44af-445b-8529-9ea94e7282c8 · inbound
Diffusion Processes on Implicit Manifolds cites this paper.
Diffusion Processes on Implicit Manifolds On the Edge of Memorization in Diffusion Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:20:52.687955Z
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 053209e5-4527-4e14-8afe-c912093f093a · inbound
Diffusion Processes on Implicit Manifolds cites this paper.
Diffusion Processes on Implicit Manifolds On the Edge of Memorization in Diffusion Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:39:57.395356Z
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 ba4e42e3-fc9b-49a8-bd99-5aa6cf527861 · inbound
Grokking of Diffusion Models: Case Study on Modular Addition cites this paper.
Grokking of Diffusion Models: Case Study on Modular Addition On the Edge of Memorization in Diffusion Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:56:47.815079Z
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 5ce64475-8879-4d97-a982-cd0d38389d3a · inbound
Adynamical systems view of training generativemodels and the memorization phenomenon cites this paper.
Adynamical systems view of training generativemodels and the memorization phenomenon On the Edge of Memorization in Diffusion Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:03:06.218800Z
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 9bd93f1e-2cd5-4a25-8fd8-17f58c3240ab · inbound
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.
Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory On the Edge of Memorization in Diffusion Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:46:55.234565Z
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.