Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:53:14.408022Z
Paper Citation Record · LEDGER
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
As of 9 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2502.03435.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T00:08:24.777945Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T00:12:17.784174Z
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy6
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8b1845a2-0be0-4f3b-9839-65ebc1e17fd1 · outbound
This paper cites On the other hand, for any y ∈ R, π(y; µ, σ) ⩽ µ(xn − x1).
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization On the other hand, for any y ∈ R, π(y; µ, σ) ⩽ µ(xn − x1)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.619593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 32495ccd-f0f2-4221-8ab4-ff8d3cd77a76 · outbound
This paper cites Accessed on 2025-01-20.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Accessed on 2025-01-20
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.690073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cacab129-7638-40dc-8ddf-90f97bd8a6b0 · outbound
This paper cites A Good Score Does not Lead to A Good Generative Model.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization A Good Score Does not Lead to A Good Generative Model
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.347824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70ea5e2a-968e-4ada-9efa-4c9f5fd4873e · outbound
This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.362735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c04e8991-f9c8-4442-8a1c-69c35cc11d00 · outbound
This paper cites an unresolved cited work.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T04:53:14.633449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7f4cfaa-ae8d-4fbe-981c-6d9be96acb3e · outbound
This paper cites On Copyright Risks of Text-to-Image Diffusion Models.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization On Copyright Risks of Text-to-Image Diffusion Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.389654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bd7d720-d70c-440c-b723-804e76fe1d7e · outbound
This paper cites Upper bound.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Upper bound
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.605347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a0e58c44-112e-4855-b429-64a1e3646f30 · outbound
This paper cites an unresolved cited work.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T04:53:14.591043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4359726e-ab43-47f2-98aa-ea571b9309b1 · outbound
This paper cites an unresolved cited work.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-09T04:53:14.576391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ea527519-adea-4008-a4b9-27fb3297dd5c · outbound
This paper cites On Memorization in Diffusion Models.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization On Memorization in Diffusion Models
Reference 1941
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.342931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68e312a1-07ec-47bf-bc19-59fd193f1abd · outbound
This paper cites Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
Reference 2015
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T04:53:14.492442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d76f757b-f906-40d8-a2ab-b761c69a3a8c · outbound
This paper cites Venkatakrishnan, Charles A.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Venkatakrishnan, Charles A
Reference 2016
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.648637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 927efedd-11b2-4ee5-9caf-54af8889b853 · outbound
This paper cites Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.352765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f9a4152-d566-40b4-9a1d-b70f0537a617 · outbound
This paper cites Teodoro, Jos´e M.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Teodoro, Jos´e M
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.662751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c82b41a0-94cf-4d56-8640-bec99c8db264 · outbound
This paper cites On the Generalization of Diffusion Model.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization On the Generalization of Diffusion Model
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.380775Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb8bbd13-8390-46ad-a59d-587825a83312 · outbound
This paper cites Trainability and accuracy of artificial neural networks: An interacting particle system approach.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Trainability and accuracy of artificial neural networks: An interacting particle system approach
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T04:53:14.676529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 550d52aa-1e6a-416e-87e6-842dca65913a · outbound
This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization SegDiff: Image Segmentation with Diffusion Probabilistic Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.327334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f31c8b-790c-40ef-a763-4de7609effec · outbound
This paper cites Memorization and Regularization in Generative Diffusion Models.
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization Memorization and Regularization in Generative Diffusion Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:53:14.333220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 920475ec-b5ad-42e2-b698-b239fbaff823 · inbound
From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting cites this paper.
From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T00:12:17.786642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.