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Paper Citation Record · LEDGER

Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.11968.

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

pith.paper-citation-record.v1
2403.11968 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:37:02.961210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:56.006595Z

Reference resolution

0 of 0 outbound references displayed

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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 fc5d50ce-4750-4ff5-a7e2-889e32f8be40 · inbound

Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access cites this paper.

Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:37:17.442663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T12:36:56.621522Z digest=sha256:33b8631ca577842d7a474daeffeac59106895676c590f167aef8e77460f54f8b

Observation f4a12ff3-a835-4865-8fe3-0eac0aec3456 · inbound

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction cites this paper.

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:02.961210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:37:02.961210Z digest=sha256:debdc1c8a057520d02ff0fd18e03857c697c8860430d559a245d686fc542ccb9

Observation 7a77737c-a993-49b5-bee0-4e863394a0f3 · inbound

Minimax Optimal Rates for Regression on Manifolds and Distributions cites this paper.

Minimax Optimal Rates for Regression on Manifolds and Distributions Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:57.994758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9149237f-5dd3-4018-81dd-733019d6730f · inbound

Non-asymptotic convergence bound of conditional diffusion models cites this paper.

Non-asymptotic convergence bound of conditional diffusion models Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T20:56:33.486632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:56:33.486632Z digest=sha256:084ed5d10e18b8e90317a4bd533b11e0c1c17b8f0bd2c2fdd7497dff5b8aa143

Observation 52d86382-dcaa-45ed-be12-d4ef05857bd5 · inbound

Provable Diffusion Posterior Sampling for Bayesian Inversion cites this paper.

Provable Diffusion Posterior Sampling for Bayesian Inversion Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T17:55:15.205522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:55:15.205522Z digest=sha256:eb19f2e3f3516eff21bea56aa85169afb5119fb05c7b9c1e7b0fe0875d143565

Observation f5ea360f-bad7-4960-874b-859e8bb407ef · inbound

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference cites this paper.

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:46:43.699397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-09T21:05:40.979113Z digest=sha256:a32bc1451d4d2fa29951f9c44ee7a41ca763b08e401416da03777c0b4c36ff36

Observation d8c6bf73-e385-4d90-be7a-74d1243e8b43 · inbound

Transformer Approximations from ReLUs cites this paper.

Transformer Approximations from ReLUs Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:30.247996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:02:37.785615Z digest=sha256:4155aa4d2eec83827e0d717b7dc91509d44c23cd159b7b0cac6ceb9bb63b6d97

Observation 35299fda-11f9-4d8d-9b8f-9402f59fcc8b · 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 Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:42:54.643473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T00:41:30.640984Z digest=sha256:ffd1de4762ca927b1050f0b1ad1399db1c1e21df4c678b311492c4ef69a7a9da

Observation d743c7ba-3e13-441d-94c9-8582ab24ed1e · inbound

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting cites this paper.

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:10:21.967007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T05:09:06.410581Z digest=sha256:752928288dcc205051fe406eceda32d609436a227eddcf5d1b2b01005050596c

Observation 97120b9c-abbf-4a57-8b62-619e3fbfbc6d · inbound

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning cites this paper.

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.384456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T12:09:27.409746Z digest=sha256:3e00563798563098a7859d45c2a7fa3b4860ff87488384a65486615bfbcbe743

Observation 069f9f9c-279e-4512-b359-db76b7e63d25 · inbound

Diffusion Models for Adaptive Sequential Data Generation cites this paper.

Diffusion Models for Adaptive Sequential Data Generation Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:56.008530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T02:56:19.103411Z digest=sha256:6b86027b9bc4275608301e23ce1d72263ddba0b63ff66e8e58f9e5a1e81cbeaa

Observation 125f5a06-36b2-4c31-85ce-4f964d21aa8c · inbound

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations cites this paper.

Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T20:13:42.930492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:13:42.930492Z digest=sha256:329ee8ca0fa17ddfece8d18f075dd64debd1a5be5f595c9364a359f5f3451c84

Observation 30640c25-a31b-48d9-9cf8-c7567e2cf392 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:55.956125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:55.956125Z digest=sha256:9bb8eb2523c7bf93c6b3619913ec7bebe81d5f9a0aba7173f12e9ed23688ed87