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Paper Citation Record · LEDGER

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.13042.

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

pith.paper-citation-record.v1
2309.13042 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:07:18.418285Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T23:07:20.243799Z

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 b7ae72c6-4c13-4590-8744-99cd28a9f79b · inbound

A Comprehensive Survey on Imbalanced Data Learning cites this paper.

A Comprehensive Survey on Imbalanced Data Learning MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T23:07:20.249419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T23:07:18.418285Z digest=sha256:7542f080af20a903e653d1f45b1d94f51ba1c5324d8b69d5b19d5a87c913a51b