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Paper Citation Record · LEDGER

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.15615.

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

pith.paper-citation-record.v1
2607.15615 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T22:48:38.045622Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41ef0f9d-5cd0-47d0-9814-059bba2921a3 · outbound

This paper cites International conference on medical image computing and computer-assisted intervention , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification International conference on medical image computing and computer-assisted intervention , pages=

Reference 1

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no resolver link, observed 2026-08-01T22:48:35.743422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:35.743422Z digest=sha256:ae6ddb3b883150ed1f5eb036e01f99d4272704f0a86028d2fc6a64851f201a8f

Observation e80a033e-2937-46be-9f2c-f2a66b2ddc96 · outbound

This paper cites IEEE journal of biomedical and health informatics , year=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification IEEE journal of biomedical and health informatics , year=

Reference 2

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no resolver link, observed 2026-08-01T22:48:35.876466Z

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source=arxiv_source observed=2026-08-01T22:48:35.876466Z digest=sha256:8c854e6e3c0ccbd12925bd998f2ade064b54572ebace7ce588ba560424123c20

Observation 59c0cc72-ea11-4f85-8592-46d3df9dd6e8 · outbound

This paper cites (No Title) , year=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification (No Title) , year=

Reference 3

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no resolver link, observed 2026-08-01T22:48:36.018995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.018995Z digest=sha256:228061a821078b1737ebafe8ab0254b275cdb065029304c8ecf5165f7cf35f35

Observation dbe61618-2cd2-4549-ae11-fa1cf48ef3b9 · outbound

This paper cites and Nguyen, Ha Q.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification and Nguyen, Ha Q

Reference 4

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no resolver link, observed 2026-08-01T22:48:36.146981Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T22:48:36.146981Z digest=sha256:74a20fbada8e6e238d5a8f75fb20fbdf7334df600c26aa5b3fda2cfbb6a148da

Observation efba7354-6167-48fc-9db4-a9674089673a · outbound

This paper cites 2-yolov5 classification models, apple m1, reproducibility, clearml and deci.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification 2-yolov5 classification models, apple m1, reproducibility, clearml and deci

Reference 5

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no resolver link, observed 2026-08-01T22:48:36.229207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.229207Z digest=sha256:0e9af504d9c36eb1c6ec187d08968e7eddabe6f055410fd8dddf64d4b6b7997b

Observation a5a92fd1-f311-40e5-b890-173e85c6f256 · outbound

This paper cites YOLOv12: Attention-Centric Real-Time Object Detectors.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification YOLOv12: Attention-Centric Real-Time Object Detectors

Reference 6

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no resolver link, observed 2026-08-01T22:48:36.338620Z

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Unavailable: canonical work link unavailable.

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Observation 61fd6f35-e5d0-45b1-9ced-793b0d6c10c8 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Advances in Neural Information Processing Systems , volume=

Reference 7

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no resolver link, observed 2026-08-01T22:48:36.409906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.409906Z digest=sha256:7458508567b0ac75060bd8a5f60e026dcafe900ffe43f255c2dd6d20d82c35b4

Observation 168b94dc-e5af-47dd-bf51-16b78530a2ad · outbound

This paper cites DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Reference 8

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no resolver link, observed 2026-08-01T22:48:36.455000Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T22:48:36.455000Z digest=sha256:83e6455beb2f6b09221812b178ad1a339c99c4f682f4a1dd37dd4a2ef1dbb29b

Observation 3ce69ae0-3f3b-4878-91e3-c06ad43d8c21 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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no resolver link, observed 2026-08-01T22:48:36.556023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.556023Z digest=sha256:c0cf3630abe9b5be31e5de8cecfec8f3cbbbbffb39e7978c4ef91905881f44f2

Observation aa17e040-214f-43bb-8bea-8ae8d6beaf47 · outbound

This paper cites Journal of Imaging , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Journal of Imaging , volume=

Reference 10

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no resolver link, observed 2026-08-01T22:48:36.675113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.675113Z digest=sha256:07987957abf51fa0d505360e6b7ebf631c84dccf5aaadad0665ffde3ae6620e7

Observation 6fc67eee-2f18-42ff-b691-6d59004edc42 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 11

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no resolver link, observed 2026-08-01T22:48:36.736664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 46283ea0-be48-486d-852d-eee4d182def4 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 12

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no resolver link, observed 2026-08-01T22:48:36.812363Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:36.812363Z digest=sha256:894ff798077adee5e2100401d5127fab731a0905cbbba220d2b89538edc273f8

Observation 8b1622f0-5cfc-4745-b2b4-00fdff092c71 · outbound

This paper cites International conference on machine learning , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification International conference on machine learning , pages=

Reference 13

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no resolver link, observed 2026-08-01T22:48:36.890631Z

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source=arxiv_source observed=2026-08-01T22:48:36.890631Z digest=sha256:2008675f1036e4bab5b12c5778d1a2d42574eb027999b0ec959d97a86dce48a5

Observation a0dc4dc4-c162-4150-8a84-b9a0bf835f6f · outbound

This paper cites , author=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification , author=

Reference 14

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no resolver link, observed 2026-08-01T22:48:37.026170Z

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source=arxiv_source observed=2026-08-01T22:48:37.026170Z digest=sha256:967fdd3ae4a5de585259d986024bbb288466930ef3e1e644ba2d1dd0d6c60002

Observation 3e1a2e33-20d9-497f-8b17-fde41180e89f · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Proceedings of the IEEE international conference on computer vision , pages=

Reference 15

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no resolver link, observed 2026-08-01T22:48:37.126958Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:37.126958Z digest=sha256:4023457da2d78025e1c1d19f9059d93b3e53cae228676a3d9902d4a71ae9adb8

Observation b09bd842-50b2-4a8f-b0e7-9b711efe821a · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2023 , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Findings of the Association for Computational Linguistics: EACL 2023 , pages=

Reference 16

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no resolver link, observed 2026-08-01T22:48:37.216636Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:37.216636Z digest=sha256:ce6b8ab545c78d4a15aac8e57bff83dfeaf43cd17f1077a529c555c95e49e22d

Observation f433d68e-a5a6-4bf2-8c7f-d8a81e039249 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 17

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no resolver link, observed 2026-08-01T22:48:37.444093Z

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source=arxiv_source observed=2026-08-01T22:48:37.444093Z digest=sha256:a1e734ac70cdc072dc43400ebf55de42e91eabf81fd1f76a922e1905a2b5974d

Observation c60b4c50-9ca5-483d-9403-25e69de56737 · outbound

This paper cites The British journal of radiology , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification The British journal of radiology , volume=

Reference 18

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no resolver link, observed 2026-08-01T22:48:37.564809Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:37.564809Z digest=sha256:d2a9bf3cccffebc47192b35f103766b319cbdf66a76d0befa8f7b745c1acd541

Observation 68ec562c-db2c-4298-b577-250d8fb28763 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 19

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no resolver link, observed 2026-08-01T22:48:37.693464Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:37.693464Z digest=sha256:377507764a13785a2be46f5a841f0cead3cae7c5c62eaf51d55cadcbf997413a

Observation e60c0067-5934-4971-b2d2-098e23aa3644 · outbound

This paper cites Journal of the American College of Radiology , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Journal of the American College of Radiology , volume=

Reference 20

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no resolver link, observed 2026-08-01T22:48:37.756159Z

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source=arxiv_source observed=2026-08-01T22:48:37.756159Z digest=sha256:974eb3edc3e2db2ae9301bded9d27e3d0b819f8291bd1ea3f9c503bfddf9cffa

Observation 635c4c0f-d3ae-437e-ba5d-0976bc0092ab · outbound

This paper cites Radiology , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Radiology , volume=

Reference 21

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no resolver link, observed 2026-08-01T22:48:37.866023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:37.866023Z digest=sha256:cf676bb9a95bcfe573314f70b9b8a4abcdd9fbef289ece905c31083432007871

Observation d36d61ee-c7b0-478d-87c2-857d0589ff1f · outbound

This paper cites Advances in neural information processing systems , volume=.

Region-Grounded Vision-Language Learning for Detection-Guided Mammographic Lesion Classification Advances in neural information processing systems , volume=

Reference 22

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no resolver link, observed 2026-08-01T22:48:38.045622Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:48:38.045622Z digest=sha256:e781c234255c287c0efaafe4a962af91f6af7792e81c9a59e5a70c34706503b5

Pith citing papers

No inbound Pith citation observations are available.