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Paper Citation Record · LEDGER

Ladder Fine-tuning approach for SAM integrating complementary network

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2306.12737.

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

pith.paper-citation-record.v1
2306.12737 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:56:50.188109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:38:04.013163Z

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 8fae4ab4-c508-4816-ae35-14d0dc09835f · 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 Ladder Fine-tuning approach for SAM integrating complementary network

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T14:56:50.188109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:56:50.188109Z digest=sha256:6e0251e611f89cdd684155054a33d568cd20a2988c921c4788c97099f066470a

Observation a545aea9-bdfe-4786-a084-af8c90aa5dce · inbound

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine cites this paper.

Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine Ladder Fine-tuning approach for SAM integrating complementary network

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T10:14:24.267223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:14:24.267223Z digest=sha256:1464442e4bf30703de0d1ff77a6e51b0c4206b33ac769ad57a8c11faaa9ae7ce

Observation be80bd94-f555-4248-95ce-1483c0ac80ce · inbound

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

EchoONE: Segmenting Multiple echocardiography Planes in One Model Ladder Fine-tuning approach for SAM integrating complementary network

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T22:58:15.012942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:58:15.012942Z digest=sha256:a2483eee2c45f157a0bf691d690fcb2cea361180245bcaad40fe4ac5adddb76f

Observation 77c91bcb-dc51-46e0-b98a-6b000e643342 · inbound

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation cites this paper.

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation Ladder Fine-tuning approach for SAM integrating complementary network

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:06.989207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:06.989207Z digest=sha256:3c00a2bf481d07b869322fb198a11dfa6c781ffec5ae73cf4a5dafbdb95c03ce

Observation 1a79d1a7-8ab8-47a7-b2a8-a3b95a35b36f · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models Ladder Fine-tuning approach for SAM integrating complementary network

Reference 188

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:38:04.016906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T15:38:03.432384Z digest=sha256:9de53c3dfa6be4012d1d28f3c3068cedca489180695e480a2ae1fc92be30092d