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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:25:20.034363Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:26:32.186947Z digest=sha256:bae1b9d40677715417350a274eee6ed49a8dd20d460c4fa314e4837f5f056ac3

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=sha256:619431b6685a8b6176921b1769471565be8adf52d446d16804c90c20ed531372

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=sha256:93291c5269a58361babae2ec7e947207248fc3a327119e81813582ea28f4d559

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T15:32:01.798216Z digest=sha256:86ca87d55f63bb863943117bbcc2fb58d95c49295ce2a4330565672afe65222e