Paper Citation Record · LEDGER

Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.07578.

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

pith.paper-citation-record.v1
2503.07578 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:30.076228Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.213882Z

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 56a3f03b-349d-43fd-b6ca-afb8b4d3e9bd · inbound

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation cites this paper.

A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:30.076228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf4604d4-56e4-4fc1-95ec-d54a03a53636 · inbound

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants cites this paper.

Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:03:39.123129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dc7683a-e9d6-4d5a-941f-585004b7f05b · inbound

Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data cites this paper.

Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T08:02:20.623495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff1c019d-338f-4124-9aa5-0674005d1602 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:57.215601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.