Paper Citation Record · LEDGER

DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.03893.

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

pith.paper-citation-record.v1
2309.03893 v1

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:12:20.454458Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:12:06.493444Z

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 8998b965-2205-4974-90c5-fe375500c15d · inbound

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding cites this paper.

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T05:12:20.454458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f695895-7450-473c-bd56-e271585943b9 · inbound

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation cites this paper.

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:13.114001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09172b60-2dc6-4d35-bd28-90d1629302a0 · inbound

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation cites this paper.

Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:46:51.200725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487d48a6-1d60-4eac-8300-5c02e46e937c · inbound

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision cites this paper.

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:12:06.500165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.