Paper Citation Record · LEDGER

NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.02030.

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

pith.paper-citation-record.v1
2412.02030 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:34.916768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:49:12.571836Z

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 430db95e-017d-4f2f-8155-df99c8e59c18 · inbound

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models cites this paper.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:34.916768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f77470-dfd0-497e-8fda-f6a487f701fe · inbound

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation cites this paper.

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:14:04.911175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab8944cd-4ebf-491c-a93b-75ad25f951a0 · inbound

Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos cites this paper.

Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:00.173223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c990fbd8-7836-4c68-86f9-0fa3e47c4d35 · inbound

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation cites this paper.

FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:49:12.641962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.