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Paper Citation Record · LEDGER

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.13416.

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

pith.paper-citation-record.v1
2304.13416 v2

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:23:16.693067Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:06:07.175264Z

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 ddba156a-a57e-4e8c-9e16-c0aecded2ead · inbound

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer cites this paper.

Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T19:23:16.693067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:23:16.693067Z digest=sha256:fcbe4a0dc06119dfb6b13117470692e63246ebea5d64d8c9aa657d13e61735a3

Observation d4818707-0a3e-4b8b-a92a-33efd7180549 · inbound

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection cites this paper.

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:40:02.635431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:40:02.635431Z digest=sha256:eba0bcb839af17d4ca2380a9d49f557ed6d43aa1ca509ea80a52f156dad508b2

Observation 7273137c-2a50-400b-a489-cf0831754859 · inbound

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training cites this paper.

SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-04T20:51:06.673703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:51:06.673703Z digest=sha256:440f2b575c61e3cb23db758fcfaaf7a8008fed13d7e6d7a8ccbfd78da177237c

Observation e59b9146-b547-4e5b-b864-47452841df02 · inbound

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.

LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:06:07.177275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T16:38:20.057250Z digest=sha256:33ff0c1b3aa803f7aa8a7b4235b3367886416b7d0a5f06783eb0fcaea1353530