Paper Citation Record · LEDGER

Diffusion Models are Minimax Optimal Distribution Estimators

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.01861.

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

pith.paper-citation-record.v1
2303.01861 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:27:37.477475Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 725271ea-72f7-4448-8e62-63328a74bdf9 · inbound

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models cites this paper.

Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative Models Diffusion Models are Minimax Optimal Distribution Estimators

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T22:27:37.477475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23abe1b-faf4-423c-8e6e-0f1d0afb70cc · inbound

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models cites this paper.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Diffusion Models are Minimax Optimal Distribution Estimators

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:50.315240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b98ad5e-291e-4379-a9f9-5d07badb3d5c · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Diffusion Models are Minimax Optimal Distribution Estimators

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:21.724216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca4577ee-1dca-4b4c-a036-25cf2f89e02f · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Diffusion Models are Minimax Optimal Distribution Estimators

Reference 262

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:39:40.873295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 93cb2549-6320-4044-803b-45c2f3d1a943 · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Diffusion Models are Minimax Optimal Distribution Estimators

Reference 262

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T21:57:25.580337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.