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Paper Citation Record · LEDGER

ReportMedSAM: Guiding Segmentation Through Radiology Reports

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.14116.

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

pith.paper-citation-record.v1
2607.14116 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:39:19.182871Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

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  • verified fuzzy0
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7172648-10f1-4971-985b-ef161e99b260 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T14:39:16.919629Z digest=sha256:e05ae20749b4891c9507d078b81908aeea6a20b099e024de16e5b620d7ea29cf

Observation c40faf16-fdab-4124-a0ca-7b5e4af429a9 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 2

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source=pdf_text observed=2026-08-02T14:39:17.014433Z digest=sha256:cbe4dd157d8f8ac4d1a516d754e3dd7cfd8107e3b2aa09fd68f0a573b793883e

Observation f6052e9a-8802-42a0-9cbc-b264c5b100a6 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

ReportMedSAM: Guiding Segmentation Through Radiology Reports SAM 3: Segment Anything with Concepts

Reference 3

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source=pdf_text observed=2026-08-02T14:39:17.136574Z digest=sha256:02a0244e95a2b62bf2027d2648c49decf9f34cbeb44b28abbf1eda49753d5e39

Observation 7e1123fc-4496-4608-8c97-9a48b3dcc8b5 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:17.298469Z digest=sha256:aeb964758f59de96e378f18322e9be219b22c58f9db77d8c9af879a182280ccd

Observation 1cbbc917-8978-44b0-b333-3e5bae194f3b · outbound

This paper cites In: Findings of the Association for Computational Linguistics: ACL 2024.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Findings of the Association for Computational Linguistics: ACL 2024

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:17.398585Z digest=sha256:8529eca6b5045b690aa445542fc9db511096784390854846ab670b6cfff48c78

Observation 2c9423c1-6215-49b4-bfac-a8452750b655 · outbound

This paper cites Journal of Machine Learning Research 23(120), 1–39 (2022).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Journal of Machine Learning Research 23(120), 1–39 (2022)

Reference 6

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source=pdf_text observed=2026-08-02T14:39:17.514437Z digest=sha256:b16f383e25a913be4d109c45baf65bce60fbdd838fc21f9b39f90f8d5b18b9bf

Observation 9d7d0638-09b3-4d83-86d5-a0f1f5b88d73 · outbound

This paper cites ICLR1(2), 3 (2022).

ReportMedSAM: Guiding Segmentation Through Radiology Reports ICLR1(2), 3 (2022)

Reference 7

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source=pdf_text observed=2026-08-02T14:39:17.650557Z digest=sha256:47da45aeda014fb20ebcf2e9632afd7ee3d680ed8f458bb252b522a39fdb8bf9

Observation 5e9c6262-ef06-4f39-ab38-a6eaa33d8d89 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Proceedings of the AAAI conference on artificial intelligence

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:17.774472Z digest=sha256:6caf999bab83b3aacd168dd2255a3e192f10a19af29b4b3977a4028a8e44089f

Observation e32b4797-abc4-462b-b873-263cc30409fb · outbound

This paper cites Scientific data6(1), 317 (2019) 10 J.

ReportMedSAM: Guiding Segmentation Through Radiology Reports Scientific data6(1), 317 (2019) 10 J

Reference 9

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source=pdf_text observed=2026-08-02T14:39:17.948939Z digest=sha256:8dae78ae7a1c929e51b2819865fe6505f0decb7f5526d2e7f6b5c5e455c4ce77

Observation e96c738b-5cde-4ce0-9d53-d3e3b85bf32c · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T14:39:18.100640Z digest=sha256:8ee0c7fc9259f75ca61e607a2bf0d916d44388ae8a1f72635543b7ca358fb5f7

Observation 2d863af6-5f10-4ec9-bd8d-9e5247ee3e98 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EACL 2024.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Findings of the Association for Computational Linguistics: EACL 2024

Reference 11

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source=pdf_text observed=2026-08-02T14:39:18.157903Z digest=sha256:5e177f268410e14be8f2d862b51a4c08134fc0a087185d2ab4e4bc3dc0e69518

Observation 13f339d7-8660-4e29-99bd-0c2e2b7875a3 · outbound

This paper cites Advances in Neural Information Processing Systems36, 28541–28564 (2023).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Advances in Neural Information Processing Systems36, 28541–28564 (2023)

Reference 12

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source=pdf_text observed=2026-08-02T14:39:18.219314Z digest=sha256:351b27fe971c11deff19f07b5b5aeac21936696f463ab913bf3f8e81964f835b

Observation 880bae6a-0372-4a45-af2b-529cece8e6f3 · outbound

This paper cites Nature communications15(1), 654 (2024).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Nature communications15(1), 654 (2024)

Reference 13

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source=pdf_text observed=2026-08-02T14:39:18.285938Z digest=sha256:eb5abde335251c6c576c5e7e109235a65e38959233610f93befe33230d47e07f

Observation 8096a0c2-61d1-4260-ad18-196e9f46ef2f · outbound

This paper cites Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

ReportMedSAM: Guiding Segmentation Through Radiology Reports Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Reference 14

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source=pdf_text observed=2026-08-02T14:39:18.365047Z digest=sha256:1801b546f61b2e2e0281ce55c5e00530eee4ccfba0d29af4e4a5ee30ab8a36bf

Observation c32d1cb9-1c68-4e9a-b744-da12035cd67b · outbound

This paper cites In: International conference on machine learning.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: International conference on machine learning

Reference 15

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source=pdf_text observed=2026-08-02T14:39:18.449670Z digest=sha256:a006757437766760c5e5565bb67a18232463dbb0322784559223a3fc99040202

Observation 0ae2e7f8-9368-4903-9003-fc3b3484c07f · outbound

This paper cites Journal of the American Medical Informatics Association17(5), 507–513 (2010).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Journal of the American Medical Informatics Association17(5), 507–513 (2010)

Reference 16

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source=pdf_text observed=2026-08-02T14:39:18.501096Z digest=sha256:7397ee60a79b0e4be08ee2071ca6a9cece1ef08d142127f9139fb4d97ad277ce

Observation 33705172-a414-4bee-8a69-382c97bedfca · outbound

This paper cites Nejm Ai1(3), AIoa2300138 (2024).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Nejm Ai1(3), AIoa2300138 (2024)

Reference 17

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source=pdf_text observed=2026-08-02T14:39:18.599180Z digest=sha256:0d86bc71346f9b4cbdb66028bdade344864152130b2858cd720ef2afb3028de6

Observation 6d85ecb2-3aa5-41d1-b54a-2428e71bbccd · outbound

This paper cites In: The Fourteenth International Conference on Learning Representa- tions (2026).

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: The Fourteenth International Conference on Learning Representa- tions (2026)

Reference 18

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source=pdf_text observed=2026-08-02T14:39:18.653130Z digest=sha256:1627722fcc61524c5d74ea6358afac07ed125da02a8d575f7fa4e0e45f79df23

Observation 2ad6351e-32f5-4450-93bb-c39813d6ae87 · outbound

This paper cites In: Proceedings of the 2022 Conference on Empir- ical Methods in Natural Language Processing.

ReportMedSAM: Guiding Segmentation Through Radiology Reports In: Proceedings of the 2022 Conference on Empir- ical Methods in Natural Language Processing

Reference 19

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source=pdf_text observed=2026-08-02T14:39:18.706550Z digest=sha256:517b5f658ee40ad1b0904a40515d2d6e7334c48153a942b2f920491034ef2e25

Observation 57fdb4d5-f2b7-4f36-8431-830b61e1d5da · outbound

This paper cites Advances in Neural Information Processing Systems37, 137432–137473 (2024).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Advances in Neural Information Processing Systems37, 137432–137473 (2024)

Reference 20

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source=pdf_text observed=2026-08-02T14:39:18.785565Z digest=sha256:3456ca39c140bca24a756a636acae72c4b3cf708c9051a47b7a0c65e9ae9ac7a

Observation ed4c5af3-ae6d-4a08-b52f-0a66bacc698e · outbound

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

ReportMedSAM: Guiding Segmentation Through Radiology Reports BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 21

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source=pdf_text observed=2026-08-02T14:39:18.840723Z digest=sha256:b2236eb4df5add366766f670cd20b55d9ec49bab845624a37e0ff607ad45a6e1

Observation c16012a9-e86d-4a27-bd15-a65faa4f6d54 · outbound

This paper cites BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

ReportMedSAM: Guiding Segmentation Through Radiology Reports BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:18.898023Z digest=sha256:c3fc7509f95b590516c9594f9767ec71d9cd857f6bf15edb0584df14a13acf4a

Observation b2abdc06-4fa0-42f6-824d-3ce1a5d14f0f · outbound

This paper cites International journal of computer vision130(9), 2337–2348 (2022).

ReportMedSAM: Guiding Segmentation Through Radiology Reports International journal of computer vision130(9), 2337–2348 (2022)

Reference 23

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source=pdf_text observed=2026-08-02T14:39:19.035189Z digest=sha256:f121c77f417182e8d0a5a283d6012037319e3c1c6cd22b31da8c90d7c5270605

Observation 15eec2f5-785a-41d2-ad65-92aee9f8490a · outbound

This paper cites Advances in neural information processing systems36, 19769–19782 (2023).

ReportMedSAM: Guiding Segmentation Through Radiology Reports Advances in neural information processing systems36, 19769–19782 (2023)

Reference 24

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source=pdf_text observed=2026-08-02T14:39:19.182871Z digest=sha256:10254319599b1798ad0ef90c95b7b0447a38b4e21a2bfa141d4db216076c1fea

Pith citing papers

No inbound Pith citation observations are available.