Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.07931.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T03:40:26.565029Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:39:50.407907Z
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 9dace3aa-b40e-4400-b2e3-c49b25429d65 · inbound
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 21f8ae61-2403-4e9d-80a4-3fcd01c147c3 · inbound
EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d70917f2-f263-4058-b461-a5e41341f87a · inbound
Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee8169a5-7a5e-4943-9c1e-a9e8abff41d7 · inbound
Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.