Paper Citation Record · LEDGER

CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.07540.

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

pith.paper-citation-record.v1
2410.07540 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:16:55.605156Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:18:43.921470Z

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 bb189f1a-79c4-4f9a-8504-f8a62477429d · inbound

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation cites this paper.

SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:37:11.788881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73441dd-96a2-4c91-8a99-459c7878bc4f · inbound

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery cites this paper.

EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T18:24:42.275379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87e1703-1b6b-4347-973b-7afca16a1a7c · inbound

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement cites this paper.

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:55.605156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2ef037-99e4-4e58-828a-dbe47efe48a0 · inbound

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery cites this paper.

EndoARSS: Adapting Spatially-Aware Foundation Model for Efficient Activity Recognition and Semantic Segmentation in Endoscopic Surgery CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:28.147739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9362185-e499-40de-9b80-5f747774519c · inbound

Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection cites this paper.

Geo-RepNet: Geometry-Aware Representation Learning for Surgical Phase Recognition in Endoscopic Submucosal Dissection CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:03:10.811064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad846c2e-5241-40bd-aac7-736b99fdc0e5 · inbound

MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding cites this paper.

MedGRPO: Multi-Task Reinforcement Learning for Heterogeneous Medical Video Understanding CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:18:43.923301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.