Paper Citation Record · LEDGER

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.15361.

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

pith.paper-citation-record.v1
2507.15361 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:39:13.142565Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy14
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d3608e1-30de-4e1b-9cc2-085e37bf8edd · outbound

This paper cites In: European Confer- ence on Computer Vision.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: European Confer- ence on Computer Vision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:15.715928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 259da2a1-aed2-46cb-a41b-fe0dfb30ec05 · outbound

This paper cites In: International Conference on Deep Learning Theory and Applications (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International Conference on Deep Learning Theory and Applications (2024)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:15.577111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e833eaa3-8f8d-489e-8100-1564642b948e · outbound

This paper cites In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2025).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2025)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:15.364703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46aa0700-3e2b-4134-94b6-4d1f0b7340da · outbound

This paper cites In: Accepted to Proceedings of the ieee/cvf international conference on computer vision (2025).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Accepted to Proceedings of the ieee/cvf international conference on computer vision (2025)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:15.168155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08e64d26-38da-44d1-afa9-a48060fe07fe · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Label-Efficient Semantic Segmentation with Diffusion Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:09.975730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c68c2b3-bfdd-49c0-8f09-75a658b1c962 · outbound

This paper cites saliency maps from physicians.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation saliency maps from physicians

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:10.149062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6e83f85-2dce-4db6-b429-b8e0f51d7cf0 · outbound

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

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:10.454497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77633716-a680-4576-bcaf-dddcdef2344b · outbound

This paper cites In: Machine learning for healthcare conference.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Machine learning for healthcare conference

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:10.762757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4223b3e-1072-4671-a97b-20f9e40c8083 · outbound

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

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:15.009691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45552578-a866-459a-8abe-98b87bfe77f8 · outbound

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

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International confer- ence on medical image computing and computer-assisted intervention

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:10.946434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c745d2d4-3b18-4210-94ae-492df905c0d3 · outbound

This paper cites In: International Conference on Content-Based Multi- media Indexing (CBMI) (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International Conference on Content-Based Multi- media Indexing (CBMI) (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:14.836728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df469a49-57b3-4b0d-a9f7-e77e4c83b679 · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:11.130355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d79819-66e6-480d-9d0d-9df121dbc72d · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Advances in neural information processing systems33, 6840–6851 (2020)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:11.293052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b84556-bec9-4056-aa7c-0312fcd51947 · outbound

This paper cites Nature methods18(2), 203–211 (2021).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Nature methods18(2), 203–211 (2021)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:11.437916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb264d3c-2ff5-43b9-921a-1ae6d460c3d3 · outbound

This paper cites In: International con- ference on multimedia modeling.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International con- ference on multimedia modeling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:14.681660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b9017d8-2be9-457d-a215-b76439e71b92 · outbound

This paper cites In: Medical Image Computing andComputerAssistedIntervention–MICCAI2024.pp.656–666.SpringerNature Switzerland, Cham (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Medical Image Computing andComputerAssistedIntervention–MICCAI2024.pp.656–666.SpringerNature Switzerland, Cham (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:14.528439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8434b4f3-0e18-4d02-b2f8-ad7d00186019 · outbound

This paper cites In: International conference on machine learning.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: International conference on machine learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:11.786237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065c771d-7498-4174-9168-0d9a9ed2fa90 · outbound

This paper cites Medical image analysis59, 101570 (2020).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Medical image analysis59, 101570 (2020)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:11.918109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd3c143f-2c03-485f-a535-56605bbfa04e · outbound

This paper cites an unresolved cited work.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:12.028940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d53e3a1-8988-4822-ba05-409727b9cd2a · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:12.177149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed02180-ab1c-4702-9b80-3b63dd8c52ab · outbound

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

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:12.327841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc012afc-b685-40a6-9e30-616259fd5d2a · 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.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation 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 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:12.447113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d3f1e8-97f6-4134-bf52-c9d83286eee7 · outbound

This paper cites IEEE Transactions on Biomedical Engineering70(4), 1330–1339 (2022).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation IEEE Transactions on Biomedical Engineering70(4), 1330–1339 (2022)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:14.295342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e1852dd-6910-455c-9375-fcae4e799505 · outbound

This paper cites In: 2022 IEEE 24th international workshop on multimedia signal processing (MMSP).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: 2022 IEEE 24th international workshop on multimedia signal processing (MMSP)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:14.127207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8cb665e8-de69-412b-91ee-72cebf1db21d · outbound

This paper cites an unresolved cited work.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:12.710620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02978107-c666-4b0d-ac8e-4e9bdfdf04d1 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I 24.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I 24

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:13.902954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28b3bd9a-cfcd-41f7-90d1-2fa6f5dfdca4 · outbound

This paper cites In: Medical Imaging with Deep Learning (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Medical Imaging with Deep Learning (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:13.748077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb10b303-6ca6-4c6f-b0ee-0b889f650a0e · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation In: Proceedings of the AAAI conference on artificial intelligence (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:13.577334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1900e1d2-7e32-40e0-9d0d-3abf15ca78a9 · outbound

This paper cites Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation.

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:13.067797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22a3417-2a63-44e9-b3c3-491d601bc1d8 · outbound

This paper cites IEEE Transactions on Medical Imaging (2024).

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation IEEE Transactions on Medical Imaging (2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:39:13.379450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.