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Paper Citation Record · LEDGER

DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.11681.

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

pith.paper-citation-record.v1
2303.11681 v4

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:17.256952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:45:57.774273Z

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 f74c47f0-073f-4ea3-a5a3-2ada92fe87a4 · inbound

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation cites this paper.

Inpainting is All You Need: A Diffusion-based Augmentation Method for Semi-supervised Medical Image Segmentation DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T21:56:17.256952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:56:17.256952Z digest=sha256:d425f0e5d295ee761733a87dbdd88fda169206d15a931774b5353d3d52c30d93

Observation 29ad8173-64ee-4b58-b7f7-eba6642a8fdd · inbound

Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation cites this paper.

Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T12:46:03.724181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:46:03.724181Z digest=sha256:b7d91ce281884f364d25fef731d888be7ffb0dc959616040a5f7905b07d25312

Observation bf21745d-a30d-40f4-ae31-1502dc487456 · inbound

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data cites this paper.

S3OD: Towards Generalizable Salient Object Detection with Synthetic Data DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T08:20:01.943242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:20:01.943242Z digest=sha256:b1970660d669ef231c1a11cc29c5dde69856f886761a95c332d9f7016b617030

Observation a2adcfd9-1fe0-481d-99f9-7e48a092a7cd · inbound

Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation cites this paper.

Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:57.777276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:59:46.067001Z digest=sha256:4607a88fdac9f3f846c0edc02e77626e0000eba7f48c371d59d6e28773d6bd42