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Paper Citation Record · LEDGER

Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2309.06824.

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

pith.paper-citation-record.v1
2309.06824 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:25.871278Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:28:27.553122Z

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 f5434c4d-936d-4d05-bc5c-835b81dae1bc · inbound

Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes cites this paper.

Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:28:27.556554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T21:26:32.186947Z digest=sha256:4c7143787c7dac937d73f76402b426798d1b8eef2ba3c45e6fed6b84dbc17d1c

Observation 56bfdc56-98a5-4439-8efc-c55014fde3f9 · inbound

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction cites this paper.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T14:56:50.191963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:56:50.191963Z digest=sha256:6953f60b47e00184660290052a9e80f55c79acdc08f62960dd5326b6ccdc90ba

Observation 9a1f9afe-f1f7-49f1-b94c-fda70eb221d7 · inbound

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting cites this paper.

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T12:16:19.024296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:16:19.024296Z digest=sha256:bc08e6702adbee9855015aa4db5ca5fd6e120e2449c7174fea763006e637a933

Observation 5c3a5fdc-e4f6-4279-bbd9-fb3e479bf412 · inbound

EchoONE: Segmenting Multiple echocardiography Planes in One Model cites this paper.

EchoONE: Segmenting Multiple echocardiography Planes in One Model Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T22:58:15.104320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:58:15.104320Z digest=sha256:da5e0afe1afe247ebe0809fcd3084a1596b963c012bcb1a65123cb2fb3394216

Observation b8d250e2-735a-44d1-a195-de20820a559a · inbound

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation cites this paper.

SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T15:31:43.666765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:31:43.666765Z digest=sha256:0aab0e5e1716010cc9ab33df2ed413e9141e2eb3e7e8022bafa9babe257653c5

Observation 8ecfe6b5-5915-4940-8406-011eeb8f8cf0 · inbound

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images cites this paper.

FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T16:25:20.034363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:25:20.034363Z digest=sha256:19872c74502eae4a5b9044e5cd530b13d664c1fb6a79de0ad3f67443df2763da

Observation c5e0b2c3-404f-4620-9361-f64e8ca646ac · inbound

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation cites this paper.

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:25.871278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:25.871278Z digest=sha256:46db984dc3868029a327470a8b65985caf39015578e8f0343afc254179c6fc1c

Observation 5793f90b-c3fa-4910-b0e7-939d398d08f9 · inbound

FocalClick-XL: Towards Unified and High-quality Interactive Segmentation cites this paper.

FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T19:54:23.828845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:54:23.828845Z digest=sha256:ad5a9982ba048cf3a5d46f1637a5cb1b63d4e1fe0abff2bcd37b1a702f553ce5

Observation e7e99095-25eb-405a-9055-6e1a35b207b7 · inbound

Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation cites this paper.

Fully Automated SAM for Single-source Domain Generalization in Medical Image Segmentation Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:57:34.923217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:57:34.923217Z digest=sha256:2eee51dbe1f089e62f1a2365cecf7dd3e7c706e6156e266ffd1d50a366007585

Observation 50e73b17-020a-4919-b0bf-668fad52c58e · inbound

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters cites this paper.

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:09.012013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T15:32:01.798216Z digest=sha256:9c91171be04d2dd50966630458b296fd73866c65234caebeb5e61b7357f2a711