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Paper Citation Record · LEDGER

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.19174.

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

pith.paper-citation-record.v1
2607.19174 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:18:21.278900Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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28 of 28 outbound references displayed

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Outbound references

Observation 99c756f2-8777-4582-8227-6da4c84a1eb3 · outbound

This paper cites Autonomy in surgical robotics.Annual Review of Control, Robotics, and Autonomous Systems, 4(1):651–679, 2021.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Autonomy in surgical robotics.Annual Review of Control, Robotics, and Autonomous Systems, 4(1):651–679, 2021

Reference 1

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Observation 6b4a1a2c-13dc-4288-9e21-d622c6bc3e8b · outbound

This paper cites Springer, 2006.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Springer, 2006

Reference 2

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source=pdf_text observed=2026-08-01T13:18:18.309499Z digest=sha256:b4c52c177c3813f95342d3b853b33319b0ecd5b51ef92545cf7c8d918d33a266

Observation 986f8168-ca76-4e44-a162-970f8505b09c · outbound

This paper cites an unresolved cited work.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Unresolved cited work

Reference 3

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Observation 0f42cf5d-9dcb-4a59-8aee-5b2e7d18f145 · outbound

This paper cites Active vision in robotic systems: A survey of recent developments.The International Journal of Robotics Research, 30(11):1343–1377, 2011.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Active vision in robotic systems: A survey of recent developments.The International Journal of Robotics Research, 30(11):1343–1377, 2011

Reference 4

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source=pdf_text observed=2026-08-01T13:18:18.495456Z digest=sha256:1a9d1b9127fbc24b855e93fe740103e50db7e61ce9f6999ca9a2852e0ce4002d

Observation a4e55749-23b8-4c87-9524-22f41ec0ee88 · outbound

This paper cites Planning sensing sequences for subsurface 3d tumor mapping.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Planning sensing sequences for subsurface 3d tumor mapping

Reference 5

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source=pdf_text observed=2026-08-01T13:18:18.594748Z digest=sha256:ec86cf0b3747bd09fab7b491df9c451b894344ae7bd7e0a383c3f0e05d584f74

Observation 27e3d19e-d49a-4807-ac5d-9479d8217ddb · outbound

This paper cites Tumor localization using automated palpation with gaussian process adaptive sampling.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Tumor localization using automated palpation with gaussian process adaptive sampling

Reference 6

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Observation d394e8e9-622b-44d4-ba2b-68f45f15c9df · outbound

This paper cites Supervised autonomous electrosurgery for soft tissue resection.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Supervised autonomous electrosurgery for soft tissue resection

Reference 7

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Observation 75444277-ac97-463d-b92b-4bec0be68fd1 · outbound

This paper cites A variational approach to bayesian logistic regression models and their extensions.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection A variational approach to bayesian logistic regression models and their extensions

Reference 8

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source=pdf_text observed=2026-08-01T13:18:18.901669Z digest=sha256:eeac356ba460c262e2281ae98275d23a193e0b3258a651cbbae8ecd2053a53bc

Observation e8567d4d-695c-48fc-ad6c-46d7f8e69779 · outbound

This paper cites Efficient global optimization of expensive black-box functions.Journal of Global optimization, 13:455–492, 1998.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Efficient global optimization of expensive black-box functions.Journal of Global optimization, 13:455–492, 1998

Reference 9

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Observation 8675dfe5-ed91-4c1c-a0ae-a1364d0afb35 · outbound

This paper cites An open-source research kit for the da vinci® surgical system.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection An open-source research kit for the da vinci® surgical system

Reference 10

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Observation 369f7740-c8bf-4680-bf64-902b473014d7 · outbound

This paper cites Segment anything.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Segment anything

Reference 11

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source=pdf_text observed=2026-08-01T13:18:19.213342Z digest=sha256:f824312c33808562e5ac014507858ade6a58505622ea5123af707d75044acb09

Observation 288fb5d3-9a75-4d11-9c8a-8cab86105593 · outbound

This paper cites Gpu-accelerated robotic simulation for distributed reinforcement learning.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Gpu-accelerated robotic simulation for distributed reinforcement learning

Reference 12

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Observation 5a849889-1676-40bb-807b-dd7a809e6b45 · outbound

This paper cites Ontology-based surgical subtask automation, automating blunt dissection.Journal of Medical Robotics Research, 3(03n04):1841005, 2018.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Ontology-based surgical subtask automation, automating blunt dissection.Journal of Medical Robotics Research, 3(03n04):1841005, 2018

Reference 13

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Observation 49a133b0-20c1-41d3-98e9-4d1900534dd9 · outbound

This paper cites Nagy, M ´arta Tak´acs, Imre J.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Nagy, M ´arta Tak´acs, Imre J

Reference 14

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Observation 9cce1e6f-3abf-4937-8798-4b05d9c23d80 · outbound

This paper cites The current state of autonomous suturing: a systematic review.Surgical Endoscopy, 38(5):2383–2397, 2024.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection The current state of autonomous suturing: a systematic review.Surgical Endoscopy, 38(5):2383–2397, 2024

Reference 15

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Observation 72216232-554b-4af6-9130-90e7fa25368a · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 16

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source=pdf_text observed=2026-08-01T13:18:19.904761Z digest=sha256:f313488b0a4330f63a4fb676b712abaa6592ab84c73ea596116e3752acb0df68

Observation 3ced69c7-455a-4aa5-84f2-e32b2f6743d3 · outbound

This paper cites Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.The International Journal of Robotics Research, 35(14):1717–1730, 2016.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.The International Journal of Robotics Research, 35(14):1717–1730, 2016

Reference 17

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Observation ec59c320-2204-450a-8c8a-7a7f935816c4 · outbound

This paper cites Supervised autonomous electrosurgery via biocompatible near-infrared tissue tracking techniques.IEEE transactions on medical robotics and bionics, 1(4):228–236, 2019.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Supervised autonomous electrosurgery via biocompatible near-infrared tissue tracking techniques.IEEE transactions on medical robotics and bionics, 1(4):228–236, 2019

Reference 18

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Observation f207082d-6442-415b-b12a-213e60661983 · outbound

This paper cites Trajectory-optimized sensing for active search of tissue abnormalities in robotic surgery.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Trajectory-optimized sensing for active search of tissue abnormalities in robotic surgery

Reference 19

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Observation e6ff0389-08a8-46db-89cd-cb371d90c1f2 · outbound

This paper cites Bayesian hilbert maps for dynamic continuous occupancy mapping.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Bayesian hilbert maps for dynamic continuous occupancy mapping

Reference 20

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Observation 83ef497f-0573-4b67-9c72-5507992a54a0 · outbound

This paper cites JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments

Reference 21

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Observation e8e72f0a-b7ef-4112-be84-c09f90f67c88 · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 22

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Observation 853e33c2-bc8f-4662-bb83-6fc694a31337 · outbound

This paper cites Data-driven intra-operative estimation of anatomical attachments for autonomous tissue dissection.IEEE Robotics and Automation Letters, 6(2):1856–1863, 2021.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Data-driven intra-operative estimation of anatomical attachments for autonomous tissue dissection.IEEE Robotics and Automation Letters, 6(2):1856–1863, 2021

Reference 23

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Observation 09acec06-9aa4-4945-a233-0af236a39966 · outbound

This paper cites DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects

Reference 24

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Observation 8ce9a3bf-9e28-4b3e-bfb1-693bc6324f19 · outbound

This paper cites Defgoalnet: Contextual goal learning from demonstrations for deformable object manipulation.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Defgoalnet: Contextual goal learning from demonstrations for deformable object manipulation

Reference 25

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source=pdf_text observed=2026-08-01T13:18:20.963716Z digest=sha256:8458cb0fed7de61224bbc8eefc59475cce91e662267e805c3f0fe270b97c1848

Observation 8be6176f-e738-42ac-af68-e8840ad2eda4 · outbound

This paper cites Efficient sampling for rapid estimation of 3-d stiffness distribution via active tactile exploration.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Efficient sampling for rapid estimation of 3-d stiffness distribution via active tactile exploration

Reference 26

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Observation 85cc8425-559c-4b57-a5e3-6a93d6484c7f · outbound

This paper cites Physician workforce in the united states of america: forecasting nationwide shortages.Human resources for health, 18(1):1–9, 2020.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection Physician workforce in the united states of america: forecasting nationwide shortages.Human resources for health, 18(1):1–9, 2020

Reference 27

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Observation bc1b051d-6719-470f-95c5-e4920fb7fef8 · outbound

This paper cites A corrected expected improvement acquisition function under noisy observations.

Bayesian Retraction Optimization for Tissue Attachment Mapping in Surgical Dissection A corrected expected improvement acquisition function under noisy observations

Reference 28

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