Paper Citation Record · LEDGER

Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.01916.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2211.01916 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:16:40.137124Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T17:58:46.907306Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 25dc32df-5a1c-4397-864f-a7f0878401d8 · inbound

A solvable generative model with a linear, one-step denoiser cites this paper.

A solvable generative model with a linear, one-step denoiser Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T12:01:21.779618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f04c64-ee4b-44e4-990a-3758761e8016 · inbound

Low-dimensional adaptation of diffusion models: Convergence in total variation cites this paper.

Low-dimensional adaptation of diffusion models: Convergence in total variation Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T16:42:26.285998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2405fe64-156d-4f6f-819b-b5463da09b07 · inbound

Continuous Semi-Implicit Models cites this paper.

Continuous Semi-Implicit Models Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:13.922958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c71af52b-2cb8-4a5d-ad1b-938b3e3e6785 · inbound

Energy Generative Modeling: A Lyapunov-based Energy Matching Perspective cites this paper.

Energy Generative Modeling: A Lyapunov-based Energy Matching Perspective Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.235763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bba8049e-97ad-48fb-a906-749a98138656 · inbound

A Mathematical Introduction to Diffusion Models cites this paper.

A Mathematical Introduction to Diffusion Models Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:46.908676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5eb8e6d7-6779-4e5f-b9c6-211409c547bb · inbound

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling cites this paper.

Denoising growth complexity: Data geometry and certified schedules for diffusion sampling Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T00:25:43.609022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f654162f-493d-4c63-990f-cd0ccbf848ce · inbound

The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity cites this paper.

The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T05:16:40.137124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.