Paper Citation Record · LEDGER

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.04039.

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

pith.paper-citation-record.v1
2412.04039 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:52:13.469803Z

measured 23 of 23 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy15
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c65daee-e9ce-4ff7-9de9-2580742a619a · outbound

This paper cites Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.380098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7448938-8769-492f-b8e1-3aef190b7a71 · outbound

This paper cites Robotic-assisted mini- mally invasive esophagectomy (ramie) for esophageal cancer training curriculum—a worldwide delphi con- sensus study.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Robotic-assisted mini- mally invasive esophagectomy (ramie) for esophageal cancer training curriculum—a worldwide delphi con- sensus study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.781020Z

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.

Observation 4e9c7018-8e25-43e4-b207-a04c5d0dd303 · outbound

This paper cites Learning curve for robot-assisted minimally invasive thoracoscopic esophagectomy: results from 312 cases.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Learning curve for robot-assisted minimally invasive thoracoscopic esophagectomy: results from 312 cases

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.767073Z

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.

Observation eb3bc8f1-c6ba-4c81-8111-3aa1f76d4895 · outbound

This paper cites Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.753404Z

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.

Observation 624b9eb3-19ca-460f-b6a8-fa7e6a2e66d6 · outbound

This paper cites Real-time detection of the recurrent laryngeal nerve in thoracoscopic esophagectomy using artificial intelligence.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Real-time detection of the recurrent laryngeal nerve in thoracoscopic esophagectomy using artificial intelligence

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.740335Z

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.

Observation 491f0cb2-5ba2-4b40-9c0a-9e41285293d6 · outbound

This paper cites Automated surgical-phase recognition for robot-assisted minimally invasive esophagectomy using artificial intelligence.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Automated surgical-phase recognition for robot-assisted minimally invasive esophagectomy using artificial intelligence

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.727266Z

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.

Observation d505051a-cdd8-4f74-bf87-c9a93b53a8e0 · outbound

This paper cites Tecno: Surgical phase recognition with multi-stage temporal convolutional net- works.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Tecno: Surgical phase recognition with multi-stage temporal convolutional net- works

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.714492Z

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.

Observation f1ead638-532a-4ecb-bc23-56771c989a05 · outbound

This paper cites Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.700456Z

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.

Observation 15124095-fb55-48c6-9f16-354908d3408b · outbound

This paper cites Surgical Data Science -- from Concepts toward Clinical Translation.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Surgical Data Science -- from Concepts toward Clinical Translation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.416612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f28c20-ae3e-453b-88ae-5192518b1989 · outbound

This paper cites Outcomes and complications after robot- assisted minimally invasive esophagectomy.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Outcomes and complications after robot- assisted minimally invasive esophagectomy

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.685911Z

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.

Observation 6851f061-e998-4f7b-82f8-547537bc91c6 · outbound

This paper cites A standardized approach for the thoracic dissection in robotic-assisted minimally invasive esophagectomy (ramie).Diseases of the Esophagus, 33(Supplement 2):doaa066, 2020.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy A standardized approach for the thoracic dissection in robotic-assisted minimally invasive esophagectomy (ramie).Diseases of the Esophagus, 33(Supplement 2):doaa066, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.671214Z

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.

Observation 518704c4-7f44-44c2-99da-3aa402511792 · outbound

This paper cites Autolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Autolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.656550Z

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.

Observation afadd767-8176-4a16-8694-68d33384feeb · outbound

This paper cites Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.642265Z

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.

Observation bae91344-d1b0-454e-ac8f-111df6075f09 · outbound

This paper cites Temporal memory relation network for workflow recognition from surgical video.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Temporal memory relation network for workflow recognition from surgical video

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.628332Z

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.

Observation 3df2b448-7b8e-4b83-9d0b-f1c0a17274f6 · outbound

This paper cites Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.613835Z

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.

Observation 276c61c5-b9ef-4c57-b5fc-4c2d19061dd8 · outbound

This paper cites Endonet: a deep architecture for recognition tasks on laparoscopic videos.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Endonet: a deep architecture for recognition tasks on laparoscopic videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.444311Z

Source-reported events for the cited work

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Observation 9620e82f-fbde-475b-96e5-f1b30c204a5d · outbound

This paper cites ASFormer: Transformer for Action Segmentation.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy ASFormer: Transformer for Action Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.447796Z

Source-reported events for the cited work

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Observation 4a183e02-1126-4434-8087-4aebf86c9d00 · outbound

This paper cites Kuehne, A.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Kuehne, A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.451601Z

Source-reported events for the cited work

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Observation 3ce2e9b8-20be-4d96-a3ff-1238d3c6c70b · outbound

This paper cites Combining embedded accelerometers with computer vision for recognizing food preparation activities.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Combining embedded accelerometers with computer vision for recognizing food preparation activities

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.455002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd7552d-b296-4eaf-bab3-4202d4d5b8c6 · outbound

This paper cites Ms-tcn: Multi-stage temporal convolutional network for action seg- mentation.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Ms-tcn: Multi-stage temporal convolutional network for action seg- mentation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.572463Z

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.

Observation 38d91347-38d3-45f4-92f5-209c358aab8f · outbound

This paper cites Metrics Matter in Surgical Phase Recognition.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Metrics Matter in Surgical Phase Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.462305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 835073d9-3b4f-4230-a53b-863cc0508017 · outbound

This paper cites Segmental spatiotemporal cnns for fine- grained action segmentation.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Segmental spatiotemporal cnns for fine- grained action segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:52:13.557532Z

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.

Observation 3ea0777e-bc1b-4dea-89ea-e34b2a29cd30 · outbound

This paper cites Temporal convolutional networks for action segmentation and detection.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Temporal convolutional networks for action segmentation and detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:52:13.469803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.