Paper Citation Record · LEDGER

On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.13584.

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

pith.paper-citation-record.v1
2311.13584 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:51:16.587851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:23:21.278250Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 e10e2213-df50-45ae-841c-b1d48f9f4eff · inbound

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds cites this paper.

Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T04:51:16.587851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ec4b4b-0c08-414b-9590-e221ca04fa51 · inbound

Tessellations of Semi-Discrete Flow Matching cites this paper.

Tessellations of Semi-Discrete Flow Matching On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 296

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:10:53.634821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05181ee7-4174-48ab-85b2-d9743fc80ce6 · inbound

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds cites this paper.

Intrinsic Wasserstein Rates for Score-Based Generative Models on Smooth Manifolds On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:53:43.730781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79e14520-d6ed-4b01-8cb6-4a64189fba9d · inbound

Convergence of empirical subgradients for optimal transport-based objectives cites this paper.

Convergence of empirical subgradients for optimal transport-based objectives On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:23:21.279601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83f6138c-c7ae-45d6-8a33-dfa7f0cd16a7 · inbound

Convergence of empirical subgradients for optimal transport-based objectives cites this paper.

Convergence of empirical subgradients for optimal transport-based objectives On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T18:41:00.296741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b43b06e-33d8-465d-8c0c-f58cacecf37a · inbound

Diffusion Bootstrap for High-Dimensional Linear Models cites this paper.

Diffusion Bootstrap for High-Dimensional Linear Models On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-31T18:14:56.793238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.