Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03286.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:50:02.323903Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:43:23.482659Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 53679bac-ea13-4b95-9014-17923bd96d03 · inbound
On Efficient Variants of Segment Anything Model: A Survey Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 95
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1199619f-7d92-4b6c-a0b9-39fb0e1d9125 · inbound
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 380dd777-cd90-482b-a680-275aca4c058e · inbound
Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0f54efe-0e60-430f-8534-404aeb2ccbb1 · inbound
Semantic Segmentation of iPS Cells: Case Study on Model Complexity in Biomedical Imaging Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 428d72f4-fd20-4807-8928-d1d1eeeb0117 · inbound
Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 37856ed5-feea-4446-b661-a2771a49a60d · inbound
Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
Reference 126
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.