Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2306.13465.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:25.846673Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T11:32:09.603420Z
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 620a2dfa-4ccb-4cad-9fdb-ea3e564ad4e0 · inbound
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion cites this paper.
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result Fusion 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:02:05.642897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfd2333f-2df9-48c6-84a9-cc016ca8cb31 · inbound
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks cites this paper.
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:14:31.634512Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09600d93-2ee2-4c77-9d99-716761071de3 · inbound
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation cites this paper.
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:20:58.614172Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc043052-24ee-4fd4-b013-39ab3a6387e0 · 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 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:31:25.846673Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db4bcf5-908e-419a-b875-97c0d938181c · inbound
MAIS: Memory-Attention for Interactive Segmentation cites this paper.
MAIS: Memory-Attention for Interactive Segmentation 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:18:37.539959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3481c6e-0eb2-4ff5-b949-ec4a2399ca93 · inbound
Recent Advances in Medical Imaging Segmentation: A Survey cites this paper.
Recent Advances in Medical Imaging Segmentation: A Survey 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:38:10.654153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40533691-2557-4a12-8e82-1eb846ab5da5 · inbound
trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images cites this paper.
trAIce3D: A Prompt-Driven Transformer Based U-Net for Semantic Segmentation of Microglial Cells from Large-Scale 3D Microscopy Images 3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T11:32:09.609618Z
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.