Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-13T19:19:56.267003Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2603.23844.
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 2026-07-13T19:19:56.267003Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 61eafd46-b52c-446d-aafb-a80573c358ee · outbound
Language Models as Higher-Order Planning Formalizers The performance of deep learning models has rapidly improved, frequently surpassing traditional methods across various domains
Reference 1
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Observation af6d8811-caf2-4381-87b9-040533e3e52d · outbound
Language Models as Higher-Order Planning Formalizers Unresolved cited work
Reference 2
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Observation dd2587fd-d9e1-43f5-9072-9f8715539429 · outbound
Language Models as Higher-Order Planning Formalizers RS-2024-00399936)
Reference 3
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Observation 301ce018-d61e-49a1-a5d2-34844321a13e · outbound
Language Models as Higher-Order Planning Formalizers A review of the ap- plication of deep learning in medical image classification and segmentation,
Reference 4
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Observation 52b3049f-c9b6-44cb-bc3d-9356f06a1e5a · outbound
Language Models as Higher-Order Planning Formalizers Image seg- mentation using deep learning: A survey,
Reference 5
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Observation 54e943e8-72fe-4e0b-9eb2-6dd46acbf320 · outbound
Language Models as Higher-Order Planning Formalizers A review on deep learning approaches to image classification and object segmentation,
Reference 6
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Observation 7d69a731-e832-4675-8e5d-78409c51fa4c · outbound
Language Models as Higher-Order Planning Formalizers Advances in deep learning-based medical image analysis,
Reference 7
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Observation 3375b8f6-e358-4c8b-a365-ec140c3375da · outbound
Language Models as Higher-Order Planning Formalizers Ct to mri image translation using cyclegan: A deep learning approach for cross-modality medical imaging.,
Reference 8
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Observation d73cb3e7-6109-499f-ad2a-1b4b9f1fee2f · outbound
Language Models as Higher-Order Planning Formalizers Synthetic ct generation from weakly paired mr images using cycle-consistent gan for mr-guided radiotherapy,
Reference 9
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Observation 207fb98b-810e-454c-aed2-cc1f2aa61c6e · outbound
Language Models as Higher-Order Planning Formalizers Deep gen- erative adversarial networks: Applications in musculoskeletal imaging,
Reference 10
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Observation 310c7369-61d0-4fd3-8333-f550b0b01b42 · outbound
Language Models as Higher-Order Planning Formalizers Label-assemble: Leveraging multiple datasets with partial labels,
Reference 11
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Observation c21cfc42-a5d3-4def-b225-411b9937b744 · outbound
Language Models as Higher-Order Planning Formalizers Clip-driven universal model for organ segmentation and tumor detection,
Reference 12
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Unavailable: canonical work link unavailable.
Observation 654624c4-8f9d-4ce0-93af-6ca749122544 · outbound
Language Models as Higher-Order Planning Formalizers High-resolution diabetic retinopathy image syn- thesis manipulated by grading and lesions,
Reference 13
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Observation 03d6569e-0424-4184-bf78-1004eea598d6 · outbound
Language Models as Higher-Order Planning Formalizers 11766 ofLecture Notes in Computer Science, pp
Reference 14
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Observation c96d8fe7-1c43-4cfe-87a3-379b556904b3 · outbound
Language Models as Higher-Order Planning Formalizers Adding conditional control to text-to-image diffusion models,
Reference 15
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Observation 19e2f415-d72c-4f63-a90e-fd293c11a199 · outbound
Language Models as Higher-Order Planning Formalizers HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
Reference 16
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Observation 5f4372bc-72df-4647-93fd-791585c263c6 · outbound
Language Models as Higher-Order Planning Formalizers U-net: Convolutional networks for biomedical image segmentation,
Reference 17
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Observation 31c1eeda-8923-4007-9cac-f4d71cae50c5 · outbound
Language Models as Higher-Order Planning Formalizers Road ex- traction by deep residual u-net,
Reference 18
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Observation ee9c935d-3489-47f2-8540-ca41a0c1bbb9 · outbound
Language Models as Higher-Order Planning Formalizers Med-cdiff: Conditional medical image generation with dif- fusion models,
Reference 19
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Observation bcf30f94-d4e4-44b2-9d35-a0296707df00 · outbound
Language Models as Higher-Order Planning Formalizers Diffusion models for medical image computing: A survey,
Reference 20
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Unavailable: canonical work link unavailable.
Observation 5789dcb2-c0c9-458f-bdfe-413a7fd2505f · outbound
Language Models as Higher-Order Planning Formalizers Diffusion models in medical imaging: A comprehensive survey,
Reference 21
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Observation dd315d5c-da71-49c7-93a3-73355dd15ea4 · outbound
Language Models as Higher-Order Planning Formalizers Denoising dif- fusion probabilistic models,
Reference 22
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Observation 2d28af4e-edda-46d5-88e3-8f18b068c191 · outbound
Language Models as Higher-Order Planning Formalizers Diffusion models in vision: A survey,
Reference 23
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Observation 29844114-77c1-4b8e-8fe6-7fcd0b03ace5 · outbound
Language Models as Higher-Order Planning Formalizers Generatect: Text-conditional generation of 3d chest ct volumes,
Reference 24
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Unavailable: canonical work link unavailable.
Observation e4383b39-f048-49eb-a230-213e4bec3fd9 · outbound
Language Models as Higher-Order Planning Formalizers 3d mri synthesis with slice-based latent diffusion models: Improving tumor segmentation tasks in data-scarce regimes,
Reference 25
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Observation 34bee74b-153d-4c18-b401-a4c3bf385341 · outbound
Language Models as Higher-Order Planning Formalizers Synthetic Tumors Make AI Segment Tumors Better
Reference 26
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Observation b1ac9231-d048-44db-a79a-236e1a75a021 · outbound
Language Models as Higher-Order Planning Formalizers From pixel to cancer: Cellular automata in computed tomography,
Reference 27
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Observation 7aa7a480-b417-4266-b63d-ed6f6553b347 · outbound
Language Models as Higher-Order Planning Formalizers Learning from synthetic ct images via test-time training for liver tumor segmentation,
Reference 28
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Observation 1a2a2c7e-589b-42fb-87ad-6c7edc5e906d · outbound
Language Models as Higher-Order Planning Formalizers FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
Reference 29
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Observation a2970a5b-f205-48d1-9f91-6fc70b00666b · outbound
Language Models as Higher-Order Planning Formalizers Self-supervised tumor seg- mentation with sim2real adaptation,
Reference 30
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Observation 3e518f9d-ac7c-46c4-8993-3231f4f75e71 · outbound
Language Models as Higher-Order Planning Formalizers High-resolution image synthesis with latent diffusion models,
Reference 31
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Observation 4691eec1-15b9-4a71-99d1-b77ff2242f37 · outbound
Language Models as Higher-Order Planning Formalizers Auto-Encoding Variational Bayes
Reference 32
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Observation 88d0c5be-fcd8-4135-a599-c40f4bddcaa5 · outbound
Language Models as Higher-Order Planning Formalizers MONAI: An open-source framework for deep learning in healthcare
Reference 33
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Observation ba8bcac0-bfed-4853-abd4-b1b59cb6d728 · outbound
Language Models as Higher-Order Planning Formalizers Med3D: Transfer Learning for 3D Medical Image Analysis
Reference 34
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No inbound Pith citation observations are available.