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Paper Citation Record · LEDGER

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2607.10953.

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pith.paper-citation-record.v1
2607.10953 v1

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measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T08:06:08.025649Z

measured 29 of 29 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:19:39.347401Z

measured 0 of 1 external citation measurements

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

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28 of 28 outbound references displayed

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Outbound references

Observation a65e3056-7772-4d37-b6aa-074b8ff4e05d · outbound

This paper cites Developing generalist foundation models from a multimodal dataset for 3d computed tomography,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Developing generalist foundation models from a multimodal dataset for 3d computed tomography,

Reference 1

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Observation c461f93a-a085-4a86-a4ad-7a3cb034a945 · outbound

This paper cites Merlin: A vision language foundation model for 3d computed tomography,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Merlin: A vision language foundation model for 3d computed tomography,

Reference 2

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Observation 5a8d7ab7-b4bc-42de-8648-d4c418449175 · outbound

This paper cites Gloria: A multimodal global-local representation learning framework for label- efficient medical image recognition,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Gloria: A multimodal global-local representation learning framework for label- efficient medical image recognition,

Reference 3

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Observation 57c10ef6-df84-4c19-88e5-d028bd0c7072 · outbound

This paper cites Im- proving medical vision-language contrastive pretraining with semantics- aware triage,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Im- proving medical vision-language contrastive pretraining with semantics- aware triage,

Reference 4

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Observation 1edc0719-93af-4bbe-b1e1-4c56230814cd · outbound

This paper cites Ecamp: entity-centered context-aware medical vision language pre- training,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Ecamp: entity-centered context-aware medical vision language pre- training,

Reference 5

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Observation 1d3840f5-ee05-4836-a021-ff7e615b35d3 · outbound

This paper cites Large-scale and fine-grained vision-language pre-training for enhanced ct image understanding,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Large-scale and fine-grained vision-language pre-training for enhanced ct image understanding,

Reference 6

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Observation a0470f05-645d-47b9-b960-0c34b9e1b2ee · outbound

This paper cites MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training

Reference 7

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Observation a1ffae66-952a-4075-ab12-3c05eafd025d · outbound

This paper cites Ct-glip: 3d grounded language-image pretraining with ct scans and radi- ology reports for full-body scenarios,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Ct-glip: 3d grounded language-image pretraining with ct scans and radi- ology reports for full-body scenarios,

Reference 8

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Observation a1c53780-8288-4311-b222-4fea5dbeb249 · outbound

This paper cites Radgraph-xl: A large-scale expert-annotated dataset for entity and re- lation extraction from radiology reports,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Radgraph-xl: A large-scale expert-annotated dataset for entity and re- lation extraction from radiology reports,

Reference 9

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Observation 61a3a22a-814a-4a2a-8642-aafb11cb5e1f · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Learning transferable visual models from natural language supervision,

Reference 10

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Observation f441c554-d308-4cab-acbc-1c9246d0685a · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 11

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Observation fb92b930-9116-43a3-a6ed-4ff65e79fe21 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Align before fuse: Vision and language representation learning with momentum distillation,

Reference 12

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Observation 563ec6ae-49a6-4449-9833-0f2924f60a46 · outbound

This paper cites Chestx-ray: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Chestx-ray: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases,

Reference 13

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Observation bcaf0e72-3cda-4aba-a9bb-335cb81b93ed · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 14

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Observation 7f0039a6-c1a4-4a27-8728-6767683228fb · outbound

This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports,

Reference 15

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Observation ab8529fe-2ba5-4c68-b43c-05d2c285226d · outbound

This paper cites Preparing a collection of radiology examinations for distribution and retrieval,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Preparing a collection of radiology examinations for distribution and retrieval,

Reference 16

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Observation 77179951-1e43-4444-ad7c-3dc417f663f7 · outbound

This paper cites Medclip: Contrastive learning from unpaired medical images and text,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Medclip: Contrastive learning from unpaired medical images and text,

Reference 17

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Observation 51e05f41-fb42-4ffa-bd15-4140398e762f · outbound

This paper cites Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Bootstrapping chest ct image understanding by distilling knowledge from x-ray expert models,

Reference 18

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Observation d72810f5-d91a-4647-9d67-b1d63c492a9e · outbound

This paper cites Bridged semantic alignment for zero-shot 3d medical image diagnosis,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Bridged semantic alignment for zero-shot 3d medical image diagnosis,

Reference 19

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Observation ae87f019-574e-4c84-9996-353943e21ce2 · outbound

This paper cites Joint learning of localized representations from medical images and reports,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Joint learning of localized representations from medical images and reports,

Reference 20

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Observation 008ecc4f-6fb3-4fd8-b328-3bf69bdd8e8d · outbound

This paper cites Making the most of text semantics to improve biomedical vision– language processing,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Making the most of text semantics to improve biomedical vision– language processing,

Reference 21

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Observation 68c12639-d3f7-4d9b-a0c2-58382eea1417 · outbound

This paper cites Bcnet: Bronchus classification via structure guided represen- tation learning,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Bcnet: Bronchus classification via structure guided represen- tation learning,

Reference 22

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Observation c3f70d21-a496-4dfb-9bdd-f27f25110df0 · outbound

This paper cites Boundary as the bridge: Towards heterogeneous partially-labeled medical image segmentation and landmark detection,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Boundary as the bridge: Towards heterogeneous partially-labeled medical image segmentation and landmark detection,

Reference 23

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Observation 4f276a67-8fed-4325-9d77-099ef5d2705a · outbound

This paper cites Learning spatio-temporal features with 3d residual networks for action recognition,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Learning spatio-temporal features with 3d residual networks for action recognition,

Reference 24

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Observation 8bdc3d90-de79-4dd6-914c-f377c96278c9 · outbound

This paper cites Machine-learning-based multiple abnormality pre- diction with large-scale chest computed tomography volumes,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Machine-learning-based multiple abnormality pre- diction with large-scale chest computed tomography volumes,

Reference 25

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Observation 8439d96e-8db0-4b6e-a53d-605bac755481 · outbound

This paper cites Compre- hensive language-image pre-training for 3d medical image understand- ing,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Compre- hensive language-image pre-training for 3d medical image understand- ing,

Reference 26

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Observation 79332050-203d-4fe0-b84d-ce9b8e9a1dac · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in ct images,.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Totalsegmentator: robust segmentation of 104 anatomic structures in ct images,

Reference 27

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Observation 63541012-c3da-42c3-b9a4-4983a6579ce7 · outbound

This paper cites Qwen3 Technical Report.

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge Qwen3 Technical Report

Reference 28

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Pith citing papers

Observation 64a2a705-fb2f-4170-8573-dccca25557d8 · inbound

OrganLens: Organ-Specific Representation Learning for CT Foundation Models cites this paper.

OrganLens: Organ-Specific Representation Learning for CT Foundation Models Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge

Reference 46

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