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Paper Citation Record · LEDGER

ReportMedSAM: Guiding Segmentation Through Radiology Reports

As of 11 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 2026-08-10T06:31:04.303077+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:a4888166f4b92ddf8159579368876c2f1c5949f14187918173ac5ca208384ba0

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=sha256:4433f510688ba95128e953daa57c3a0d4c30eafd21fc21730f02a3e479622749

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:b35daec72e493e802888e07b11d3d4ae673c966fe71e645bd276899ff8de1b58

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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source=pdf_text observed=2026-08-02T14:39:17.298469Z digest=sha256:3ede4b0a13f9fd784b175fd1f1c32a7d1e06abc6897b80794b43358bffacd1b3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:17.398585Z digest=sha256:9e1d77c775a5c19b9fc965ee9e1f2fb0fd00b09ad64e0dd209c18264ddab535a

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=sha256:9f0a3e455b2fc8de1456f73debab669a859d208fd8d427c73a5721cef81107d6

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-reported events for the cited work

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source=pdf_text observed=2026-08-02T14:39:17.650557Z digest=sha256:80bc68df3f2ce4f68bb24fd803ab3ba58a9c2b62764bafb6a581b91180794d51

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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source=pdf_text observed=2026-08-02T14:39:17.774472Z digest=sha256:c0390778af718ede7a7ea503bd386d531e35aa11b2b0e2546cf9312c9f5db0c5

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=sha256:2a3a32cfd0c36b217f54cfd08c9421f08d103097c8c624bd8373d61d9deb412f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:18.100640Z digest=sha256:cf60f08c62a73e25a7529bccfb1205476b5b8f4cba9d367a51ba6c3b43020f42

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=sha256:12b87b75adc3902e5777abaad96adeca23a9740d01459e2ecb6caa1c7511c746

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=sha256:50c2e3b753fe8fa2878505c74903d187af88f1ae0f2a42871a875c52d84b2282

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=sha256:8db6445ecb43ea5c510379aae087266064f40f039ac03aa21e9aad875669f3db

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=sha256:06a13312dd051a680d0050705381eb73886d187710960ec1ebdc432fd1a5f963

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=sha256:246125722e935be0f29a4224a64f6bd6afa01d9e6f8cb03fcb94e87a2c27821b

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=sha256:2cfbf3ba0a4bf81fd48eb598e0928806e6f2abbad6d6aab3fb1fb3439773aa4b

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:f3e625cc3dcb8e885d347bbd55147dcfc0477924413bdcdbe9141a3a3f5d4caf

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=sha256:9b68bb5fd85fbe51ffed074a16bebcd52d8f89961b13f43ff5dd7919e7251b6a

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:b0b9b427f724cd99b6800d44259d94956c62055f6a6b30fd1743fe45ef7b377f

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=sha256:26b3f50467bacea0d62b7b6604d4bcd9139375f08804b1626bdff846192fcabe

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=sha256:6c1f544e32e71abbfca53afc5164592c2d41fc589d57d184948067013faaef0e

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:d9621c15d33934b2b4173b5feed86b961b9691c68f79dfb8b0731ca81f0f54b2

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=sha256:72f309348a814237ff1a385d2d375e7a24c6778f9ea048169ce2d003f6497916

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=sha256:0962c19541c45c43c0260e619c642d1e2ba22853a2fa966bb2d69c085fad6879

Pith citing papers

No inbound Pith citation observations are available.