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Paper Citation Record · LEDGER

Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning

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.

pith.paper-citation-record.v1
2408.07931 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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:40:26.565029Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:50.407907Z

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 9dace3aa-b40e-4400-b2e3-c49b25429d65 · inbound

PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:55.274014Z

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.

source=pdf_text observed=2026-05-10T18:27:39.914591Z digest=sha256:a962f52070d02c48ebac136357746d9cd050a2b9d2d5ed5e23cb383c68d5a292

Observation 21f8ae61-2403-4e9d-80a4-3fcd01c147c3 · inbound

EndoGSim: Physics-Aware 4D Dynamic Endoscopic Scene Simulations via MLLM-Guided Gaussian Splatting cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:53:42.128425Z

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.

source=pdf_text observed=2026-05-20T19:53:08.472172Z digest=sha256:07964f5dcd74c601bbd4c0acf05b8b84210f940e2150fd7c30941f06c1edb851

Observation d70917f2-f263-4058-b461-a5e41341f87a · inbound

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:48:46.286113Z

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.

source=pdf_text observed=2026-06-27T03:40:26.565029Z digest=sha256:ad3d15e727df5a04858efefc224de49739e97536398077c61e64bc3e9962c115

Observation ee8169a5-7a5e-4943-9c1e-a9e8abff41d7 · inbound

Temporally Consistent Label Interpolation for Robust Surgical Multi-Task Learning under Challenging Conditions cites this paper.

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

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:39:50.409522Z

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.

source=pdf_text observed=2026-06-26T05:05:09.553947Z digest=sha256:44357de7da4b9d1434ef858b943f86cc57bffdb5a2e4d6a1e8c94f4e9622df13