Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

  • 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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T12:36:56.621522Z digest=sha256:c0321771b6ecdbfc4d2a4b362a556e27e13cd82faa24922bec84afa05c9f8e40

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.

source=pdf_text observed=2026-08-07T05:45:57.994758Z digest=sha256:97fe21e30efc383c6bfbc4526a7eb4d7bc28e36eeb7d0b4d73bf5569f69f7a21

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:abbc2d9f60ef8a65c747033bb3bbc9d410555f56e70338b71d36c86d6a95970a

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:c28178b160a0428264d6d5b958f557795370a60a177ab06d8cb95fa476367082

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:05:40.979113Z digest=sha256:3f6f383346283fced54ba936df77636d3157fe03381ed536824ad2a1f5e3a9b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T04:02:37.785615Z digest=sha256:e7a4b428a95bd070f0e0a7a6a4d41a8214a39befe4f2f2c966923a53fe2cced9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T00:41:30.640984Z digest=sha256:ce0cd7cb75391f2fd26f2c6d494b15e48472fb9e231a81c79f4e61c85e9f90b2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T05:09:06.410581Z digest=sha256:121c8909112d631d4cf5ef73ba7868098dea476f90ec61d6c1960716b0b0916b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:09:27.409746Z digest=sha256:12505b25b6f2a451986ba4caa6f4d1e9cdeef4727a2c694b5cb27c162614589f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T02:56:19.103411Z digest=sha256:779a364b688e6072ba69ac731be2378c285387afe879ca0469f05decf829f59a

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:c056c3cd2b2fa3d080f48c8f7a856d256ebba0479b67efb73b47128e4391b7ff

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