Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:43:55.245805Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2607.23343.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:43:55.245805Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
72 of 72 outbound references displayed
External citation measurements
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Observation f457f0de-3949-4524-bc58-2dc8a9f48690 · outbound
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: International Work- shop on Computer-Assisted and Robotic Endoscopy, pp
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: Interna- tional Conference on Medical Image Comput- ing and Computer-Assisted Intervention, pp
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: Proceedings of the IEEE/CVF Winter Conference on Applications of Com- puter Vision, pp
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: International Con- ference on Medical Image Computing and Computer Assisted Intervention, pp
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration IEEE transactions on pattern analysis and machine intelligence34(7), 1444–1450 (2012)
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: International Conference on Medical Image Computing and Computer- Assisted Intervention, pp
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration IEEE transactions on medical imaging39(10), 3159–3174 (2020)
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Observation 09c5777b-af00-4fcd-bf79-0d9a81a0db97 · outbound
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration IEEE transactions on medical imaging 36(9), 1939–1954 (2017)
Reference 37
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Observation 63ab27a0-3121-4376-8c39-a64f02a63417 · outbound
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration Communications of the ACM24(6), 381–395 (1981)
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Observation d695c219-2c98-4fb4-97d0-72155cdc6618 · outbound
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Reference 39
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Reference 41
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Reference 43
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Reference 44
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Observation 462261f8-470b-4244-9d49-c78f9d22ee64 · outbound
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Reference 45
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration Medical Image Analysis86, 102789 (2023)
Reference 46
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Observation 01daed7b-5ac1-4859-afcb-b11b1f7004cc · outbound
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration Proceedings of the National Academy of Sci- ences120(9), 2216399120 (2023)
Reference 47
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Observation 057b73b0-cf9e-4a31-8643-8ac792af0697 · outbound
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration In: 2024 IEEE International Sympo- sium on Biomedical Imaging (ISBI), pp
Reference 48
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Observation 0d09c456-5cf7-46f7-910f-d676885e90cd · outbound
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Reference 49
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Reference 50
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Reference 51
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration International journal of computer assisted radiology and surgery14(9), 1517–1528 (2019)
Reference 52
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration Interna- tional Journal of Computer Assisted Radiol- ogy and Surgery19(5), 939–950 (2024)
Reference 54
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Reference 55
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Reference 58
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Reference 59
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Reference 62
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Reference 63
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Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration Unresolved cited work
Reference 64
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Reference 65
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Reference 67
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Reference 69
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Reference 70
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Reference 71
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Reference 72
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