Paper Citation Record · LEDGER

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.18362.

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

pith.paper-citation-record.v1
2507.18362 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:37:18.208545Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy22
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bee3a7d-5c99-4477-bf16-85bf8caad5bd · outbound

This paper cites https://medicalsegmentation.com/covid19/ (2020), accessed: June 25, 2025.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model https://medicalsegmentation.com/covid19/ (2020), accessed: June 25, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.294743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e572c243-c7d0-4c21-b3bd-ef84b76b6a49 · outbound

This paper cites Data in brief28, 104863 (2020).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Data in brief28, 104863 (2020)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.269326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 274ecd2a-68e8-4175-bc68-3fb4c015cec5 · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.404736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84ac2b42-3509-479a-ac33-73d857be1c8a · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.417663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4f89ca-5852-43ab-8445-50cd63cda486 · outbound

This paper cites PloS one10(10), e0140381 (2015).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model PloS one10(10), e0140381 (2015)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.233709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bff95bab-e1db-4c93-803f-138fd173a51d · outbound

This paper cites PloS one11(6), e0157112 (2016).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model PloS one11(6), e0157112 (2016)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.213634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92e6bb59-a9c8-4d32-ac10-d5e4819dd9f0 · outbound

This paper cites In: MICCAI.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: MICCAI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.451786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a639760a-08ef-46a0-bbd4-18316868a7a7 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.172491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bade9d2a-d7da-427f-bb88-1b9987c2e6e1 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020) 10 Authors Suppressed Due to Excessive Length.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Advances in neural information processing systems33, 6840–6851 (2020) 10 Authors Suppressed Due to Excessive Length

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.156855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7cc60853-cd99-41d8-97c1-652390145a06 · outbound

This paper cites Scientific Data11(1), 1014 (2024).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Scientific Data11(1), 1014 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.140370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e166e96-e44a-477f-95c1-68eda3155f14 · outbound

This paper cites In: MultiMedia modeling: 26th international conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, proceedings, part II 26.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: MultiMedia modeling: 26th international conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, proceedings, part II 26

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.124498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c859a5a5-b82e-4cfc-9d78-4fb7bb45d5a7 · outbound

This paper cites (No Title) (2020).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model (No Title) (2020)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.095425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8821ceeb-7ceb-4529-975f-e1d98bf791af · outbound

This paper cites Radiology 304(3), 683–691 (2022).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Radiology 304(3), 683–691 (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.077540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5daa69e8-e25a-4322-b61e-bcac92dd5c84 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:19.016618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 33ad78ae-46ae-4368-acf0-562cb4b524c9 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.938535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d14ee2c3-6e00-48ec-96f7-dd10fda4cc03 · outbound

This paper cites One-Step Image Translation with Text-to-Image Models.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model One-Step Image Translation with Text-to-Image Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.674790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba64158-f060-4dbc-8498-5b18a0735282 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.891753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e5a03aa3-f8eb-4584-bff3-557af8f04751 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.832662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3b286f2-6457-451c-81ca-bad28ea9fba5 · outbound

This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.810425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a387b78-7eb8-42db-ad7c-9895765ebc29 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.854746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d99cbf-a649-440e-a7fb-18018c33392c · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: International conference on medical image computing and computer-assisted intervention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.630584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fe6d24e9-5856-419e-a17d-324aaee574cf · outbound

This paper cites Frontiers in Medicine10, 1114673 (2023).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Frontiers in Medicine10, 1114673 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.593245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8087649d-63b5-4bf5-ae64-da88a1cbb2ac · outbound

This paper cites International journal of computer assisted radiology and surgery9, 283–293 (2014).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model International journal of computer assisted radiology and surgery9, 283–293 (2014)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.569619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f595e3b3-06b5-45f9-8077-b2da8dea6b99 · outbound

This paper cites Denoising Diffusion Implicit Models.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Denoising Diffusion Implicit Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:17.984854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1977761f-2cba-44e3-8795-270b93e10999 · outbound

This paper cites IEEE TMI35(2), 630–644 (2015).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model IEEE TMI35(2), 630–644 (2015)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:18.025360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab34c273-7741-4541-9275-97e54af8271a · outbound

This paper cites Journal of healthcare engineering2017(1), 4037190 (2017).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Journal of healthcare engineering2017(1), 4037190 (2017)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.494823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79e323a1-b6c8-40eb-91b1-3e9be4a1034b · outbound

This paper cites IEEE transactions on medical imaging23(7), 903–921 (2004).

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model IEEE transactions on medical imaging23(7), 903–921 (2004)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.468948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fbd3f7a3-221b-4b10-a6ac-14225e45ccc7 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.452340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7686d9a-a595-4270-83df-7cb9a91711aa · outbound

This paper cites Spider: A Unified Framework for Context-dependent Concept Segmentation.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model Spider: A Unified Framework for Context-dependent Concept Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:18.144746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a676eb3-a680-414a-95ac-a3714196e79d · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.437220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fad6327f-6bfb-4e58-870e-3db815079a5e · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI 22.

UniSegDiff: Boosting Unified Lesion Segmentation via a Staged Diffusion Model In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI 22

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:37:18.387179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.