Pith. sign in

Paper Citation Record · LEDGER

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.00058.

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

pith.paper-citation-record.v1
2607.00058 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T20:07:05.073637Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact3
  • verified fuzzy27
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1801e616-b4e9-4cb8-a542-269627ae25ea · outbound

This paper cites an unresolved cited work.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-07-05T20:41:22.293146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:f81a00eb3d9c633dec9ffee6e376c134d411678853768338cd899acc05c93c0a

Observation b4ccd472-d574-40e8-985d-68db0f222afb · outbound

This paper cites Denoiseg: joint denoising and segmentation.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Denoiseg: joint denoising and segmentation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.289538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:2f6942ff10ce2e61b66337714a68b8716a14823fb0c03bdba1567f66b9ee068f

Observation f946a599-3812-4971-9e64-5a9057d4d1cd · outbound

This paper cites Swin-unet: Unet-like pure transformer for medi- cal image segmentation.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Swin-unet: Unet-like pure transformer for medi- cal image segmentation

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.291441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:4d78ba5f78511c25e2d454b841cc475f6fa5ed1054ffc71ac836af93fbce9840

Observation 0223ba70-0dac-49cd-8820-a8054cfd7925 · outbound

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

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-02T20:07:21.007908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:c15215953a96081c66c71ddf7722d48e6676e9d6b97475a6a36106844a53eab1

Observation db34234c-8195-4e73-a717-8049c2089d5b · outbound

This paper cites I-secret: Importance- guided fundus image enhancement via semi-supervised contrastive constraining.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction I-secret: Importance- guided fundus image enhancement via semi-supervised contrastive constraining

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.287537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:5ee629fb11c5bdbda6c317c0908301296f05598defa79213cd715d2a0320ad3d

Observation 4cea5290-5966-4aeb-838a-961b9b920644 · outbound

This paper cites Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:07:21.009579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:05267c2c4725b73e641d5977574d66d13233bc08568cfbe18a5b86fafc8cdca9

Observation c59e51f7-cd6c-49e0-bd33-18df899327a9 · outbound

This paper cites Corediff: Contextual error-modulated generalized diffusion model for low-dose ct denoising and generalization.IEEE Transactions on Medical Imaging, 43(2):745–759,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Corediff: Contextual error-modulated generalized diffusion model for low-dose ct denoising and generalization.IEEE Transactions on Medical Imaging, 43(2):745–759,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.285242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:93ead53a6853eeb4ad543c87a582a0685434dd9837909d525fcb79234df8882f

Observation ca60f85e-a53a-4fa1-b699-286704b7bda3 · outbound

This paper cites Multi-task learning for thyroid nodule segmentation with thyroid region prior.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Multi-task learning for thyroid nodule segmentation with thyroid region prior

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.277695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:830f5b39349cd139e31ce6c5c72c820ceee85d3aea9d09c0d417454d0ce64760

Observation dd337686-96d7-4ee2-aef9-e9cabaec5813 · outbound

This paper cites The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge.Medical image analysis, 67:101821,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge.Medical image analysis, 67:101821,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.275864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:a3242b5e1471c02239fb8d474d82d6fabe03cc41314f7478d6311cada6dc88e6

Observation 89c84c8c-2004-45ec-9a72-aa7a1f650886 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.279438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:3e2e4c7399cb889aefe2665bd4dccb93295b32eb2084159b712b5fb98a1f7fc6

Observation 89ba200a-f9ed-4434-8039-81850d679bc5 · outbound

This paper cites nnu-net: a self-configuring method for deep learning- based biomedical image segmentation.Nature methods, 18(2):203–211,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction nnu-net: a self-configuring method for deep learning- based biomedical image segmentation.Nature methods, 18(2):203–211,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.281444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:d836179fc17ac6d3ef94ec49a1de22d35b88c18a2eb28e460ecb3b340191a1e9

Observation 2ac751a6-16f0-42d7-ac1b-e8773dd123e1 · outbound

This paper cites A comprehensive study on colorectal polyp segmentation with resunet++, condi- tional random field and test-time augmentation.IEEE Journal of Biomedical and Health Informatics,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction A comprehensive study on colorectal polyp segmentation with resunet++, condi- tional random field and test-time augmentation.IEEE Journal of Biomedical and Health Informatics,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.268250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:b62b4e5fbb1bee24f51e6c249219bb48672079dc83014364ebcadf42164f75cc

Observation 2cea4778-9f57-4c45-b0cf-d9fe5f4ccf42 · outbound

This paper cites Fast-ddpm: Fast denoising diffusion probabilis- tic models for medical image-to-image generation.IEEE Journal of Biomedical and Health Informatics,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Fast-ddpm: Fast denoising diffusion probabilis- tic models for medical image-to-image generation.IEEE Journal of Biomedical and Health Informatics,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.261051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:9261130b7145b57f53a4bbbf435a51bbd17d65a8e8ef13a19ab11f6aded14bd7

Observation 0d6c8da0-a092-4e3f-abb0-3f3e1bddeae1 · outbound

This paper cites Jhaveri, and Thippa Reddy Gadekallu.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Jhaveri, and Thippa Reddy Gadekallu

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.262947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:d89cb81bb4312526d2eaf0545433d3d7eed7bf612e33e5d82b2f5561569c73fb

Observation 58a12703-748d-4461-ba6a-691b6779d198 · outbound

This paper cites Ef- ficient and degradation-adaptive network for real-world image super-resolution.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Ef- ficient and degradation-adaptive network for real-world image super-resolution

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.259211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:89af4fb74e5afcb64f1b31186730d0a702f73d35aa285510620396a39e1a777b

Observation 400eeab1-7b63-468d-8cd6-d988d00ecd4d · outbound

This paper cites Diffbir: Toward blind image restoration with generative diffusion prior.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Diffbir: Toward blind image restoration with generative diffusion prior

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.283299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:18fc06959f92b0041b765cf4676e5ce5f39aa21c3cdd5f323536ace50ad4988d

Observation 7296c35c-a975-4f83-b801-763bc8ad8c0a · outbound

This paper cites When image denoising meets high-level vision tasks: A deep learning approach.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction When image denoising meets high-level vision tasks: A deep learning approach

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.246955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:1559eed57f82a7611af3ac788353e601d53d06e0764856125d9ca175242383f5

Observation c88cf21e-8c82-4d47-8d72-8596badfa522 · outbound

This paper cites Degradation- invariant enhancement of fundus images via pyramid con- straint network.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Degradation- invariant enhancement of fundus images via pyramid con- straint network

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.245054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:a68db88b74e4b69ba5d44d77d3a2a9aadebc1a1b54e92be52b45d181bc8d4316

Observation cad21bbd-7c53-4102-9e94-8d962c4bdefd · outbound

This paper cites Structure and illumination con- strained gan for medical image enhancement.IEEE Trans- actions on Medical Imaging, 40(12):3955–3967,.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Structure and illumination con- strained gan for medical image enhancement.IEEE Trans- actions on Medical Imaging, 40(12):3955–3967,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.270445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:9831fa399d2868575fb0344636852265529bd48f04b036150486e35c6c04ca5b

Observation 16718689-c8e4-4741-843c-d5377695022b · outbound

This paper cites Intriguing findings of frequency selection for image deblurring.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Intriguing findings of frequency selection for image deblurring

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.250655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:ed0edaeffb817c8e8b0f74523b814c6461fbe28cdd0efc5d424aab93a9f3009a

Observation 0c5689e7-9b00-47af-9d8c-f0f5d684bd98 · outbound

This paper cites Improved denoising diffusion probabilis- tic models.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Improved denoising diffusion probabilis- tic models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.240492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:d6991395759d01d0614baca23feec02ed890ecc74f571a6187a8f3f47189e62f

Observation d1565d30-91df-4359-9da4-a95888d6680f · outbound

This paper cites Content-aware local gan for photo-realistic super-resolution.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Content-aware local gan for photo-realistic super-resolution

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.242579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:5d9c420d336a297b74350fa5dcfcbbbec462e1503cdac664f4b3664c5800a770

Observation 0c976f46-f394-4e18-b955-9cb7d760026d · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction High-resolution image synthesis with latent diffusion models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.228734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:652055381ace884c61076ad60c0024b992d294e2e439dbd38897559121314b05

Observation c53d0fd9-11ed-4574-a7f2-f228c7822473 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction U-net: Convolutional networks for biomedical image segmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.248700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:9a230162089a68a36cd0cb2a08a128c2e934ebc5d0fc6f5e97278331b5472ebf

Observation d6851869-4f7d-4dbc-8c6b-4dbeb2b37bc1 · outbound

This paper cites Denoising diffusion implicit models.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Denoising diffusion implicit models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.231054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:7c821e7bcec61b4d12321cf90b6524ce8ca0682b7e56ab37c4fffe96ef2044b5

Observation cf89f610-b748-4e00-8d74-db551219ef94 · outbound

This paper cites Exploring clip for assessing the look and feel of images.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Exploring clip for assessing the look and feel of images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.233378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:51c15a015ac1ee75c0b1c1642eb16f3c373c0d5e91ecc475cf9890d255754358

Observation 4fce0f88-0e22-4dd4-b09c-385645128e9a · outbound

This paper cites Ddm 2: Self-supervised diffusion mri denoising with generative diffusion models.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Ddm 2: Self-supervised diffusion mri denoising with generative diffusion models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.235581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:c637399dcbbf28cab0dd7c21a5bf8a552715c5e91679a6a6b00e71a299eb5d9b

Observation 4e20ec40-bbc3-40c3-8f09-1b6132887fcc · outbound

This paper cites Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:07:21.005909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:a5ec37da431bd0f6e806e531b5ee01605ea178cc3c943523a7675a41413ed0d5

Observation 6db96e5a-2297-47a9-a900-5926bc6f3881 · outbound

This paper cites Synergy between semantic segmentation and image denoising via alternate boosting.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Synergy between semantic segmentation and image denoising via alternate boosting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.233552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:5261a96db7256667ddc09fa869b8cad66bff017c2f20d0eaa6913575c7fafaa0

Observation f0237d03-50cd-4e37-a4b8-71c27a10f911 · outbound

This paper cites Pixel-aware stable diffu- sion for realistic image super-resolution and personalized stylization.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Pixel-aware stable diffu- sion for realistic image super-resolution and personalized stylization

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.254943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:0baf1c6876a908ef50bbf76d7b1e6f40d8a3e36edf502fe86e05ce97026a8e91

Observation eafbb1b7-c306-4a8b-b292-64d92ecf1ba9 · outbound

This paper cites Scaling vision transform- ers.

Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction Scaling vision transform- ers

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T20:41:22.252491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-02T20:07:05.073637Z digest=sha256:cce1131cc9c5f661c3755b28b9680269cd545e219da13ce892e78d4f8eb894b9

Pith citing papers

No inbound Pith citation observations are available.