Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.11681.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:02:16.468739Z
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 3521bce0-7f52-4caa-bd67-99f5b73b87e7 · inbound
Panoptic Diffusion Models: co-generation of images and segmentation maps cites this paper.
Panoptic Diffusion Models: co-generation of images and segmentation maps DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:02:16.468739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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.
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.
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 2026-08-15T06:32:42.880941+00:00.