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Paper Citation Record · LEDGER

An analysis of the noise schedule for score-based generative models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.04650.

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

pith.paper-citation-record.v1
2402.04650 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:14:35.132778Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:33:32.429710Z

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 10f6fcc3-4d04-4dde-b3f9-414e91a8a200 · inbound

AsyncDSB: Schedule-Asynchronous Diffusion Schr\"odinger Bridge for Image Inpainting cites this paper.

AsyncDSB: Schedule-Asynchronous Diffusion Schr\"odinger Bridge for Image Inpainting An analysis of the noise schedule for score-based generative models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:14:35.132778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:14:35.132778Z digest=sha256:08c6d885969efc37d7373c9a252864b65c6c39c185d82f7850b255ea1b4eb4b1

Observation dfd2a214-574f-49ef-9b5f-7ad09893735f · inbound

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration cites this paper.

Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration An analysis of the noise schedule for score-based generative models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T21:18:48.922879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:18:48.922879Z digest=sha256:0be8dc12dba0372be6881ec8ca47c9a826694808e659f121c06ab1aaf6726af4

Observation b67f0bfa-6ed0-4c5b-b422-1481195c4f0f · inbound

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities cites this paper.

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities An analysis of the noise schedule for score-based generative models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:10:55.341574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T18:15:58.587798Z digest=sha256:d593114b8db909663d0eecbb461cb31fede70f7291096e844c63ff24a855ab22

Observation 8b819985-3122-4cc5-bc3c-2a7de6a4192b · inbound

Training-Free Generative Sampling via Moment-Matched Score Smoothing cites this paper.

Training-Free Generative Sampling via Moment-Matched Score Smoothing An analysis of the noise schedule for score-based generative models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:33:32.431470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T02:31:15.134624Z digest=sha256:a085c0cc377122ecb097990d2c43556f7818137513a127925a1a957693a34b1d