Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-25T20:39:21.354834Z
Paper Citation Record · LEDGER
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery
As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2606.25905.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
39 of 39 outbound references displayed
- verified exact23
- verified fuzzy0
- unresolved6
- parse uncertain0
- malformed identifier3
- metadata mismatch7
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0915b7ad-4e3f-460e-9d39-7d954dad3a9f · outbound
This paper cites Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, and Nicolas Padoy.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, and Nicolas Padoy
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.513750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35b5427b-91f8-4d1c-8fc8-a96d5b1a0056 · outbound
This paper cites Hecvl: Hierarchical video-language pretraining for zero-shot surgical phase recognition.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Hecvl: Hierarchical video-language pretraining for zero-shot surgical phase recognition
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80ab52f8-fa8c-41d7-a955-2e1796675a0a · outbound
This paper cites Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Procedure-aware surgical video-language pretraining with hierarchical knowledge augmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4b8d399-669e-4a75-92a9-9a3a6e52cc25 · outbound
This paper cites Surglavi: Large-scale hierarchical dataset for surgical vision-language representation learning.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Surglavi: Large-scale hierarchical dataset for surgical vision-language representation learning
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.532374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f3441dd6-745c-4b08-a623-f2240173636b · outbound
This paper cites arXiv preprint arXiv:2603.06570 , year=.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery arXiv preprint arXiv:2603.06570 , year=
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.472444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1fa95e6b-2896-41eb-af80-f37239e7d809 · outbound
This paper cites SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.448134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 941dfb8b-c337-4f7f-9e0f-30b6842645b3 · outbound
This paper cites SurgΣ: A spectrum of large-scale multimodal data and foundation models for surgical intelligence.arXiv preprint arXiv:2603.16822, 2026.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery SurgΣ: A spectrum of large-scale multimodal data and foundation models for surgical intelligence.arXiv preprint arXiv:2603.16822, 2026
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.459415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d9cea1c-015e-4945-ab25-83aec58138ec · outbound
This paper cites SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.467361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cb9d74e0-a158-4961-b487-47a217a34e10 · outbound
This paper cites Endochat: Grounded multimodal large language model for endoscopic surgery.Medical Image Analysis, 107:103789, 2026.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Endochat: Grounded multimodal large language model for endoscopic surgery.Medical Image Analysis, 107:103789, 2026
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.527347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 22452839-e1b1-4084-9978-2c5a25d9b6fd · outbound
This paper cites Goodman, Krishna K.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Goodman, Krishna K
Reference 10
- Resolution
- malformed identifier
- doi_truncated, observed 2026-06-25T21:18:24.526053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a14367ae-b24b-4cf4-ade1-5a0d52422daf · outbound
This paper cites EgoSurgery-Phase: A dataset of surgical phase recognition from egocentric open surgery videos.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery EgoSurgery-Phase: A dataset of surgical phase recognition from egocentric open surgery videos
Reference 11
- Resolution
- verified exact
- doi, observed 2026-06-25T21:18:24.516014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f0cede09-ca08-4179-9821-590d0adcea21 · outbound
This paper cites IEEE Transactions on Medical Imaging36(1), 86–97 (2017).
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery IEEE Transactions on Medical Imaging36(1), 86–97 (2017)
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-25T21:18:24.519396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1edb1234-bc76-409f-b496-1245fa467146 · outbound
This paper cites Aresta, T.
Reference 13
- Resolution
- malformed identifier
- doi_truncated, observed 2026-06-25T21:18:24.506751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6fceb69-52ce-4828-98e0-74a0742effe7 · outbound
This paper cites Au- tolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Au- tolaparo: A new dataset of integrated multi-tasks for image-guided surgical automation in laparoscopic hysterectomy
Reference 14
- Resolution
- verified exact
- doi, observed 2026-06-25T21:18:24.498938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 400550d0-fc87-4a42-853e-8f8efdbbc6ff · outbound
This paper cites International Journal of Computer Assisted Ra- diology and Surgery (May 2024).
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery International Journal of Computer Assisted Ra- diology and Surgery (May 2024)
Reference 15
- Resolution
- metadata mismatch
- doi, observed 2026-06-25T21:18:24.521598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b56e274a-0f04-4255-87ba-1f21c3ef9714 · outbound
This paper cites SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T20:10:07.438384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 886e249a-7940-4706-9a01-cb1102a017eb · outbound
This paper cites Cataract-101: Video dataset of 101 cataract surgeries.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Cataract-101: Video dataset of 101 cataract surgeries
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.504536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2da33546-ecd8-4ae0-8259-d653768ff239 · outbound
This paper cites Garcia-Peraza-Herrera.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Garcia-Peraza-Herrera
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64d138cd-0733-495c-8629-9c2ab76cc54d · outbound
This paper cites SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.433841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fb074cc9-2fdb-43f6-91da-e2a5a148fe15 · outbound
This paper cites Large-scale self-supervised video foundation model for intelligent surgery.npj Digital Medicine, 9:220, 2026.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Large-scale self-supervised video foundation model for intelligent surgery.npj Digital Medicine, 9:220, 2026
Reference 20
- Resolution
- verified exact
- doi, observed 2026-06-25T21:18:24.509905Z
Source-reported events for the cited work
correction dated 2026-06-16. Source: crossref record 10.1038/s41746-026-02864-3->10.1038/s41746-026-02403-0:correction, observed 2026-07-11T02:56:50.056608+00:00. This notice travels one citation hop only.
Observation 08ed0078-204d-4da8-b0ca-736e03e008a1 · outbound
This paper cites General surgery vision transformer: A video pre-trained foundation model for general surgery.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery General surgery vision transformer: A video pre-trained foundation model for general surgery
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T20:10:07.476970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a4c05c3b-8521-4ded-8a98-3bd6ff25c1e2 · outbound
This paper cites CPT® (Current Procedural Terminology).
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery CPT® (Current Procedural Terminology)
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5585575-5b5e-4cf4-aafb-1d1cc6940206 · outbound
This paper cites Robust speech recognition via large-scale weak supervision.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Robust speech recognition via large-scale weak supervision
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d761e36-5ec0-45ef-8775-c93afb3c2b1b · outbound
This paper cites Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter? Int.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Predicting financial distress of Chinese listed companies using machine learning: To what extent does textual disclosure matter? Int
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-25T21:18:24.513630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68a83526-a1b6-4e07-a09f-9b24d09bcc12 · outbound
This paper cites The TUM LapChole dataset for the M2CAI 2016 workflow challenge.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery The TUM LapChole dataset for the M2CAI 2016 workflow challenge
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:10:07.407096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86167854-bdb1-48fe-8fd0-ed83e4d0443f · outbound
This paper cites Data11, 373 (2024).
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Data11, 373 (2024)
Reference 26
- Resolution
- metadata mismatch
- doi, observed 2026-06-25T21:18:24.504464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation abc199bc-bb58-4af6-b96a-2e01a9bc7cb9 · outbound
This paper cites 2017 Robotic Instrument Segmentation Challenge.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery 2017 Robotic Instrument Segmentation Challenge
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:10:07.454301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation de66904f-6d5a-40ad-bcc5-d7e047cd0d88 · outbound
This paper cites 2018 Robotic Scene Segmentation Challenge.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery 2018 Robotic Scene Segmentation Challenge
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.413935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d205570f-91d1-4fee-be39-b53f730b7143 · outbound
This paper cites LapGyn4: A dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery LapGyn4: A dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.491562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8ef27e42-b52c-465a-979a-c5359e58216d · outbound
This paper cites Pixel-wise recognition for holistic surgical scene understanding.Medical Image Analysis, 106: 103726, 2025.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Pixel-wise recognition for holistic surgical scene understanding.Medical Image Analysis, 106: 103726, 2025
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-25T21:18:24.502209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7b9796f9-688a-418f-a71f-17994596a1e8 · outbound
This paper cites CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.397872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 122a557f-409d-431c-b2df-7f1d2e4e4963 · outbound
This paper cites Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy
Reference 32
- Resolution
- verified exact
- doi, observed 2026-06-25T21:18:24.523910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7de6ce3c-f4fd-4e01-a503-8a69ea565bbd · outbound
This paper cites Khan, Sophia Bano, Hani J.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Khan, Sophia Bano, Hani J
Reference 33
- Resolution
- verified exact
- doi, observed 2026-06-25T21:18:24.523737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e40e9aca-5ac5-434c-9fda-99f09655d32b · outbound
This paper cites Video dataset for surgical phase, keypoint, and instrument recognition in laparoscopic surgery (PhaKIR).arXiv preprint arXiv:2511.06549, 2025.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Video dataset for surgical phase, keypoint, and instrument recognition in laparoscopic surgery (PhaKIR).arXiv preprint arXiv:2511.06549, 2025
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.427974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c000a348-f2e6-443e-99d3-c8b62511eef9 · outbound
This paper cites author Rinner, F.M.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery author Rinner, F.M
Reference 35
- Resolution
- metadata mismatch
- doi, observed 2026-06-25T21:18:24.528609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 84953748-7a88-4e23-bc38-731078ca1cef · outbound
This paper cites Surgical Visual Understanding (SurgVU) Dataset.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Surgical Visual Understanding (SurgVU) Dataset
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:10:07.443946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 18984b3d-3e1a-459b-a850-b475c9195a0b · outbound
This paper cites Qwen3-VL Technical Report.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Qwen3-VL Technical Report
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T20:10:07.481901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a405cb2e-3035-4c6c-aaba-67ace93b7cde · outbound
This paper cites GPT-5 System Card.https://cdn.openai.com/gpt-5-system-card.pdf, August 2025.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery GPT-5 System Card.https://cdn.openai.com/gpt-5-system-card.pdf, August 2025
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5acd35ac-54c5-47de-96da-17ff787769bc · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities, 2025.
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities, 2025
Reference 39
- Resolution
- malformed identifier
- no resolver link, observed 2026-06-25T20:39:21.354834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.