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Paper Citation Record · LEDGER

DFormer: Diffusion-guided Transformer for Universal Image Segmentation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.03437.

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

pith.paper-citation-record.v1
2306.03437 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:56:46.606723Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:51:01.149152Z

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 2fe03752-f5bb-4039-8c40-d2d9c78fce09 · inbound

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification cites this paper.

D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T19:00:16.082193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:00:16.082193Z digest=sha256:1f34bd0c0c352df81619fcd8d8494333466991e51f7f243100cc8327983d9725

Observation 77390dac-c929-401d-bc69-9513a9ae5537 · inbound

D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription cites this paper.

D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:26:24.599754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:26:24.599754Z digest=sha256:0627ba291a3eb42f5cd5a4f59832d8f2232585a040b019e38bd955a993ced92d

Observation 906d0582-7440-4343-a797-d1d56978b9f1 · inbound

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review cites this paper.

Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T22:56:46.606723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:56:46.606723Z digest=sha256:71bd585cc0a98ebf56491455b87f2381e54730076718514b66d200b7ab815aa8

Observation 865edfe7-c731-447e-a23b-f425c46bd0da · inbound

Unleashing Diffusion and State Space Models for Medical Image Segmentation cites this paper.

Unleashing Diffusion and State Space Models for Medical Image Segmentation DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:51:01.215884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T00:51:00.084723Z digest=sha256:4db82fc1e3b70cdcdd840ab8367b4259de9de5f810f11219bea81957f3abe145

Observation 592e1837-16f6-4379-bed2-2b1db0bc1726 · inbound

PreSem-Surf: RGB-D Surface Reconstruction with Progressive Semantic Modeling and SG-MLP Pre-Rendering Mechanism cites this paper.

PreSem-Surf: RGB-D Surface Reconstruction with Progressive Semantic Modeling and SG-MLP Pre-Rendering Mechanism DFormer: Diffusion-guided Transformer for Universal Image Segmentation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T17:24:24.263058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:24:24.263058Z digest=sha256:1f09bfb10f0edc3ae820466445c3c9b8dfef16816b058252220195ebcd164069