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Paper Citation Record · LEDGER

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.27777.

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

pith.paper-citation-record.v1
2606.27777 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:08:02.242341Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc282a45-c487-4932-9339-eac68ddcd1c3 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 1

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Observation b6cec192-92db-4c55-b155-649ec4f2507f · outbound

This paper cites International Journal of Computer Vision130(5), 1366–1401 (2022).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning International Journal of Computer Vision130(5), 1366–1401 (2022)

Reference 2

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Observation 00dd9504-1721-4d0c-89d8-b3eeb69aa4a7 · outbound

This paper cites In: proceedings of the IEEE Con- ference on Computer Vision and Pattern Recognition.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: proceedings of the IEEE Con- ference on Computer Vision and Pattern Recognition

Reference 3

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Observation 76e09667-8689-448a-8d98-b1abc77c27b9 · outbound

This paper cites In: European conference on computer vision.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: European conference on computer vision

Reference 4

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Observation dc0cd00d-307a-4c98-89a5-17e5ebcbcc64 · outbound

This paper cites Improving SAM for Camouflaged Object Detection via Dual Stream Adapters.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning Improving SAM for Camouflaged Object Detection via Dual Stream Adapters

Reference 5

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metadata mismatch
arxiv_id, observed 2026-06-29T18:23:51.200646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 077b9cf3-2ecf-4f5d-899b-4529a1e51231 · outbound

This paper cites Medical Image Analysis99, 103366 (2025).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning Medical Image Analysis99, 103366 (2025)

Reference 6

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Observation 6731c666-902a-4d97-ba8a-e2cb4ba575a0 · outbound

This paper cites In: European conference on computer vision.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: European conference on computer vision

Reference 7

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Observation beb787e9-50d3-44a6-ba0d-d56c5c117f63 · outbound

This paper cites Advances in Neural Information Processing Systems35, 26462–26477 (2022).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning Advances in Neural Information Processing Systems35, 26462–26477 (2022)

Reference 8

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Observation 2e44cb76-3170-48ee-8834-5de09cc666e3 · outbound

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

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 9

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Observation c4937ed1-4dee-48ea-9682-804904288c20 · outbound

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

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceed- ings of the IEEE/CVF International Conference on Computer Vision

Reference 10

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Observation bcdebd91-39ca-4700-b439-8082914b91b7 · outbound

This paper cites In: International conference on machine learning.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: International conference on machine learning

Reference 11

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Observation 65038886-8f7a-4f52-bdb8-511e97c78f47 · outbound

This paper cites European radiology21(7), 1535–1545 (2011).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning European radiology21(7), 1535–1545 (2011)

Reference 12

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Observation 96f94c87-e628-466d-92bb-e915a04e634e · outbound

This paper cites Pattern Recognition p.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning Pattern Recognition p

Reference 13

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Observation 701ef97d-850c-49b9-bc7e-b92c100af942 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 14

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Observation 980d0c9c-a66e-42b1-944c-ae7f1d73f149 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning ActionCLIP: A New Paradigm for Video Action Recognition

Reference 15

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arxiv_id, observed 2026-06-29T18:23:51.208396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0c46b147-4b30-41c0-92b6-f3a517e91948 · outbound

This paper cites IEEE Transactions on Multimedia (2024).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning IEEE Transactions on Multimedia (2024)

Reference 16

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Observation 883ca7a2-23c8-41ce-81fa-1161ce8b57f7 · outbound

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

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

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Observation 63e82911-f7d5-4cf6-bbe8-312707a06f09 · outbound

This paper cites SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting

Reference 18

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verified exact
arxiv_id, observed 2026-06-29T18:23:51.203325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a78be86e-37ae-4cfd-a9df-66ac7b857966 · outbound

This paper cites IEEE Transactions on Medical Imaging (2025).

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning IEEE Transactions on Medical Imaging (2025)

Reference 19

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Observation d7a4cef5-1715-4070-9909-f8facb303bfa · outbound

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

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 20

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Observation e3b70cbd-acb8-4db6-92a5-14ac9c9393ff · outbound

This paper cites AIM: Adapting Image Models for Efficient Video Action Recognition.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning AIM: Adapting Image Models for Efficient Video Action Recognition

Reference 21

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verified exact
arxiv_id, observed 2026-06-29T18:23:51.198175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 375e3f88-c8d8-4b22-aaae-67ab88fbaa7b · outbound

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

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 22

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Observation fc1f32bd-eda9-4fa7-a100-6516cea7667f · outbound

This paper cites In: European Conference on Computer Vision.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning In: European Conference on Computer Vision

Reference 23

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Observation aad1aac2-c6fb-4c3e-ac8a-41fbe03c5f0b · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2025) Image-to-Ultrasound-Video Transfer Learning 11.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning IEEE Transactions on Circuits and Systems for Video Technology (2025) Image-to-Ultrasound-Video Transfer Learning 11

Reference 24

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Observation d9a1d30a-67d0-4183-bb3c-e1b2329784ec · outbound

This paper cites A Comprehensive Study of Deep Video Action Recognition.

TRUST: Efficient Abdominal Trauma Recognition via Image-to-Ultrasound-Video Transfer Learning A Comprehensive Study of Deep Video Action Recognition

Reference 25

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metadata mismatch
arxiv_id, observed 2026-06-29T18:23:51.205822Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

No inbound Pith citation observations are available.