Paper Citation Record · LEDGER

Sampling, Diffusions, and Stochastic Localization

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2305.10690.

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

pith.paper-citation-record.v1
2305.10690 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:23.484225Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 57a50a85-eb11-45ab-93ca-71a4f331e5fd · inbound

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions cites this paper.

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions Sampling, Diffusions, and Stochastic Localization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:45:22.034566Z

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 9fa6ef64-d058-4acd-aa96-8eedb1551351 · inbound

Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models cites this paper.

Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models Sampling, Diffusions, and Stochastic Localization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T18:29:40.985060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bda488-ab41-424e-80e2-5e655edf4f0e · inbound

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models cites this paper.

Stochastic Localization with Non-Gaussian Tilts and Applications to Tensor Ising Models Sampling, Diffusions, and Stochastic Localization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T14:02:07.562214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe77c5e8-aecc-42bf-8a4a-cd98b01a072a · inbound

Sampling Binary Data by Denoising through Score Functions cites this paper.

Sampling Binary Data by Denoising through Score Functions Sampling, Diffusions, and Stochastic Localization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T18:42:18.961407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46320d9a-8fac-4929-b6a0-61c787c6041f · inbound

Blink of an eye: a simple theory for feature localization in generative models cites this paper.

Blink of an eye: a simple theory for feature localization in generative models Sampling, Diffusions, and Stochastic Localization

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T17:24:11.824785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62555cf-9a44-43fa-aaa2-dc6262a2d9af · inbound

Information-Theoretic Proofs for Diffusion Sampling cites this paper.

Information-Theoretic Proofs for Diffusion Sampling Sampling, Diffusions, and Stochastic Localization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T12:44:54.277446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236109a4-612a-4304-b78e-bf32de13edaa · inbound

Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis cites this paper.

Memorization and Generalization in Generative Diffusion under the Manifold Hypothesis Sampling, Diffusions, and Stochastic Localization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T21:05:57.488726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0096d2c4-8478-4c02-93f1-22a443c5267e · inbound

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation cites this paper.

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation Sampling, Diffusions, and Stochastic Localization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:23.484225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 049f845a-e405-45e9-9b7d-23ccb75ac6ef · inbound

Joint stochastic localization and applications cites this paper.

Joint stochastic localization and applications Sampling, Diffusions, and Stochastic Localization

Reference 1977

Resolution: unresolved; no resolver link, observed 2026-08-15T20:25:56.769663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a53eab97-db76-48f6-85b0-b1a946ff02e4 · inbound

Sampling from Binary Quadratic Distributions via Stochastic Localization cites this paper.

Sampling from Binary Quadratic Distributions via Stochastic Localization Sampling, Diffusions, and Stochastic Localization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:21:07.980856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d317a8a7-d4e7-4a0b-abff-17ac6a2781be · inbound

The Entropic Signature of Class Speciation in Diffusion Models cites this paper.

The Entropic Signature of Class Speciation in Diffusion Models Sampling, Diffusions, and Stochastic Localization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T02:53:13.859162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c0b84c-68cf-4b89-8669-105c1cd78961 · inbound

Discrete Stochastic Localization for Non-autoregressive Generation cites this paper.

Discrete Stochastic Localization for Non-autoregressive Generation Sampling, Diffusions, and Stochastic Localization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:36:28.913041Z

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 ab3812b2-9b00-4880-90f8-c6c6bc1eabd4 · inbound

Binomial flows: Denoising and flow matching for discrete ordinal data cites this paper.

Binomial flows: Denoising and flow matching for discrete ordinal data Sampling, Diffusions, and Stochastic Localization

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:21:10.699348Z

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 5ef65e5a-1933-438c-b202-e16a7ad2157a · inbound

Potential Hessian Ascent III: Sampling the Sherrington--Kirkpatrick Model at Beta < 1/2 cites this paper.

Potential Hessian Ascent III: Sampling the Sherrington--Kirkpatrick Model at Beta < 1/2 Sampling, Diffusions, and Stochastic Localization

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:46:13.315345Z

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 ab825127-1f5d-4d99-9de7-75440e4d31a6 · inbound

Potential Hessian Ascent III: Sampling the Sherrington--Kirkpatrick Model at Beta < 1/2 cites this paper.

Potential Hessian Ascent III: Sampling the Sherrington--Kirkpatrick Model at Beta < 1/2 Sampling, Diffusions, and Stochastic Localization

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:49:15.350437Z

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 6bdd956f-d92a-46be-ae3e-580191f419c2 · inbound

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model cites this paper.

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model Sampling, Diffusions, and Stochastic Localization

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:42:54.614092Z

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 3163979d-c539-4a70-91db-25911d41e8e6 · inbound

On McDiarmid's Inequality under Dependence via Approximate Tensorization of Entropy cites this paper.

On McDiarmid's Inequality under Dependence via Approximate Tensorization of Entropy Sampling, Diffusions, and Stochastic Localization

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:28:18.649554Z

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 eed4e6e9-c442-4920-b066-814c9ad88271 · inbound

A Mathematical Introduction to Diffusion Models cites this paper.

A Mathematical Introduction to Diffusion Models Sampling, Diffusions, and Stochastic Localization

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:58:46.935827Z

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 602da731-e5f8-4821-ad59-b3b362e6aa8d · inbound

Weak Poincar\'e Inequalities via Approximate Stochastic Localization: Application to Sampling the Sherrington-Kirkpatrick Model cites this paper.

Weak Poincar\'e Inequalities via Approximate Stochastic Localization: Application to Sampling the Sherrington-Kirkpatrick Model Sampling, Diffusions, and Stochastic Localization

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-10T12:17:03.762395Z

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 ec080498-30da-496d-8129-9562f9114774 · 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 Sampling, Diffusions, and Stochastic Localization

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-01T00:25:54.753074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1a4a8d-4698-416f-b1ef-a370bf222831 · inbound

Simulation-free and finite-time diffusion model cites this paper.

Simulation-free and finite-time diffusion model Sampling, Diffusions, and Stochastic Localization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T15:00:16.759204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec6e3df-222d-494c-a434-2aad5748be1f · inbound

Leveraging generative models to assist Monte Carlo sampling cites this paper.

Leveraging generative models to assist Monte Carlo sampling Sampling, Diffusions, and Stochastic Localization

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-11T00:34:16.491922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.