Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.04140.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-05-20T20:15:44.030714Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 4fd2534f-7ff0-4a98-ad1a-5f21912f34c2 · inbound
On the Memorization of Consistency Distillation for Diffusion Models Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Reference 1
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 ce63a698-82e3-47db-a678-d909c6a85983 · inbound
Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Reference 16
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 50523a6e-3f98-456f-8c58-1f236745d485 · inbound
Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Reference 113
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.