Paper Citation Record · LEDGER

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2508.04305.

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

pith.paper-citation-record.v1
2508.04305 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:47:47.105468Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

verified exact0
verified fuzzy25
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f501c1c-5104-460c-abed-e54df881338a · outbound

This paper cites Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:51.307238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93876bbb-b599-4f6f-a49e-3611c27f2465 · outbound

This paper cites Trends in medical imaging: from 2d to 3d,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Trends in medical imaging: from 2d to 3d,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:51.187392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad4c30bf-d06f-4eb1-aeaf-26061817e308 · outbound

This paper cites Mri, ct scan, and ultrasound in the diagnosis of nonalcoholic fatty liver disease,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Mri, ct scan, and ultrasound in the diagnosis of nonalcoholic fatty liver disease,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.990295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9f17dde-6fd9-425b-8e18-281a013fd24f · outbound

This paper cites Accessible magnetic resonance imaging: a review,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Accessible magnetic resonance imaging: a review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.768238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04294d76-067d-4ba3-bf50-f2c8af7d44ae · outbound

This paper cites Various image segmentation techniques: a review,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Various image segmentation techniques: a review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.595917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c24736ee-a2ea-4a87-9279-1dadd5d4d5d1 · outbound

This paper cites Survey of image edge detection,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Survey of image edge detection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.441427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4223579c-428c-4849-8d88-67243ed6f559 · outbound

This paper cites A comprehensive survey of multi-level thresholding segmentation methods for image processing,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation A comprehensive survey of multi-level thresholding segmentation methods for image processing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.236915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fef5edf8-63cc-487b-bde5-1fb8915108d1 · outbound

This paper cites Survey of clustering techniques enhancing image segmentation process,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Survey of clustering techniques enhancing image segmentation process,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:50.047964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b70b595e-96e4-442e-8fe2-b053f7f3fc76 · outbound

This paper cites Advances in medical im- age segmentation: a comprehensive review of traditional, deep learning and hybrid approaches,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Advances in medical im- age segmentation: a comprehensive review of traditional, deep learning and hybrid approaches,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.874905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf24514a-1c9a-41c7-a915-b81b51dc9478 · outbound

This paper cites Chapter 13 - medical image segmentation using artificial intelligence,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Chapter 13 - medical image segmentation using artificial intelligence,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.760474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0c5f0df-04a7-40e4-a740-991d5e64ef82 · outbound

This paper cites Intraoperative CT augmentation forneedle-basedliverinterventions,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Intraoperative CT augmentation forneedle-basedliverinterventions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.562125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4c435d4-0d5f-4ec7-8dc4-32dfa21ead4a · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:47:45.587091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1bb316-11b8-4248-b09f-792770b7295e · outbound

This paper cites The domain shift problem of medical image segmentation and vendor-adaptation by unet-gan,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation The domain shift problem of medical image segmentation and vendor-adaptation by unet-gan,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.417572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7eead65b-fd7a-40a5-97fe-e67c21aa9364 · outbound

This paper cites Foundation Models for Biomedical Image Segmentation: A Survey.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Foundation Models for Biomedical Image Segmentation: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T00:47:45.742358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1967938b-b742-4c15-8777-4e9566844730 · outbound

This paper cites Foundational models in medical imaging: A comprehensive survey and future vision,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Foundational models in medical imaging: A comprehensive survey and future vision,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.222139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13e68d9f-876f-4a46-8113-1f430d3a0210 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation SAM 2: Segment Anything in Images and Videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:47:45.952238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb8be20-18e9-4dd3-b54a-2f9568bdbe10 · outbound

This paper cites Segment anything model for medical image seg- mentation: Current applications and future directions,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Segment anything model for medical image seg- mentation: Current applications and future directions,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:49.074543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation afb03503-b772-48b9-87e0-7837426c07a2 · outbound

This paper cites Segment anything model for medical image analysis: an experimental study,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Segment anything model for medical image analysis: an experimental study,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.924135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7333c22-df49-44e1-b5f8-ec6215336803 · outbound

This paper cites Segment anything in medical images,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Segment anything in medical images,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.761910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b466da6-d47b-4006-b306-4c5543a71b9f · outbound

This paper cites How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with segment anything model,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with segment anything model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.601168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2153d36a-7561-4f69-ac67-f9f1cbb468f2 · outbound

This paper cites Medical sam adapter: Adapting segment anything model for medical image segmentation,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Medical sam adapter: Adapting segment anything model for medical image segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.469047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1976744e-c88c-458e-b362-f3452b0982cf · outbound

This paper cites Self-prompting large vision models for few-shot medical image segmentation,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Self-prompting large vision models for few-shot medical image segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.294483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91781401-5419-4555-93e7-688e025e3597 · outbound

This paper cites Focal Loss for Dense Object Detection.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Focal Loss for Dense Object Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T00:47:46.491007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fe64c64-f2c8-498e-aea6-6e6dfd336904 · outbound

This paper cites A survey of loss functions for semantic segmentation,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation A survey of loss functions for semantic segmentation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:48.158074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 63c40946-d28a-413b-879a-2f71921a7a5e · outbound

This paper cites Super-resolution in medical imaging,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Super-resolution in medical imaging,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:47.935501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9f2bd3f-ba49-4add-af0b-afb2fe5837f6 · outbound

This paper cites Super resolution techniques for medical image pro- cessing,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Super resolution techniques for medical image pro- cessing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:47.803672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5111a87e-cc15-4270-893a-ae035c338984 · outbound

This paper cites CHAOS - Com- bined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation CHAOS - Com- bined (CT-MR) Healthy Abdominal Organ Segmentation Challenge Data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:47.696241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7aab782-1bb6-42ee-b5f1-fd225b547fc5 · outbound

This paper cites Kornia: an open source differentiable computer vision library for pytorch,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation Kornia: an open source differentiable computer vision library for pytorch,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:47.507300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37d0fa9b-1f52-4ae0-9733-a38a9d5ab2e7 · outbound

This paper cites A descriptive algorithm for sobel image edge detection,.

Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation A descriptive algorithm for sobel image edge detection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:47:47.280926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.