Paper Citation Record · LEDGER

Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.08813.

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

pith.paper-citation-record.v1
2408.08813 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 2026-08-09T16:13:53.257593Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:44:02.749268Z

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 6fd750ff-4972-41d0-a4c8-01fd648d3b5d · inbound

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models cites this paper.

Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T16:13:53.257593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66042e5a-346d-45db-8b10-17274976247d · inbound

TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking cites this paper.

TrackingMiM: Efficient Mamba-in-Mamba Serialization for Real-time UAV Object Tracking Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:55:43.860202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2176b47-0ea2-41fa-9aab-5284441e4414 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:53:19.859350Z

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.

Observation daecb472-d2b5-4a3b-977d-80bed50f7946 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.751052Z

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.