Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:37:46.119395Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2601.19743.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T07:37:46.119395Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
41 of 41 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bc9cf621-6c0a-42fb-a7c9-7a1d71c0062c · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Nature Reviews Cardiology17(9), 559–573 (2020)
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Observation c7fd2d7b-a251-43ea-a941-0fbc5b20d5a0 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Nature Reviews Cardiology13(6), 368–378 (2016)
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Observation dedbdeda-f158-4ed4-a37f-b7f4baae286a · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Circulation research119(2), 357–374 (2016)
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Observation c2d6cee4-59a9-4c45-8a57-e996818e211c · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of Nuclear Medicine56(Supplement 4), 31–38 (2015)
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Observation 78f0d8ee-7bac-4d25-8318-2ade1e88c549 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of the American College of Cardiology79(17), 263–421 (2022)
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Observation f8712dcb-a7dd-4da4-a2a1-d9e8a93f9612 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of the American College of Cardiology83(15), 1444–1488 (2024)
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Observation 98ab8ed1-12bf-4019-b637-38b7d498f09f · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Jama329(10), 827–838 (2023)
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Observation 6ee846b8-a920-4c0b-b6d9-449d4d0ff4e0 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification The international journal of cardiovascular imaging31(7), 1303–1314 (2015) 23
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Observation 5742e1df-d4ea-44ba-8708-7ba2874a3de7 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification The Lancet357(9262), 1107–1117 (2001)
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Observation 03d2587f-81fb-4fc6-bd13-a5ddc723463e · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification European Journal of Heart Failure23(4), 578–589 (2021)
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Observation 6d8ab265-29c0-4d93-ba43-fe366e6995af · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of echocardiography17(1), 10–16 (2019)
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Observation d6c64277-6bd4-4bfc-bf1d-0d7287db37d7 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of the American College of Cardiology66(13), 1456–1466 (2015)
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Observation bda4569f-3b3b-4787-b076-a3a15266b268 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification The international journal of cardiovascular imaging26(1), 57–64 (2010)
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Observation 2e2bf605-7eed-40d4-8a8b-16e5818fa8e2 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Echocardiography38(4), 582– 589 (2021)
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Observation 6ea9827a-0a17-4fd2-8923-627b28769d4b · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of the American Heart Association13(8), 032257 (2024)
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Observation 6fc10788-1f9f-4303-bf69-ac73c3f9c231 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp
Reference 16
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Observation 6dd0b623-136f-4534-b381-9faa66b96941 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)
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Observation bc05e018-89e7-4360-985c-63c120444fc9 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Nature580(7802), 252–256 (2020)
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Observation 63812157-da47-4020-9438-98642f36826e · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of big Data8(1), 53 (2021)
Reference 19
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Observation 2b64b418-b98c-4616-a3e9-31aeb8c659d3 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of Cardiovascular Imaging29(3), 193 (2021)
Reference 20
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Observation c31c202f-278f-4107-943c-dd79f9825d14 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of Visual Communication and Image Representation41, 406–413 (2016)
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Observation c20b26ba-1965-45a9-aa1a-7e6994ce25ee · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of Visual Communication and Image Representation90, 103685 (2023)
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Observation 381b91a8-b2e2-4cf6-9b13-f264b2b6ff8d · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification NPJ digital medicine5(1), 156 (2022)
Reference 23
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Observation c58d9067-6788-4cae-a98d-292688f15d5d · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Journal of Visual Communication and Image Representation 70, 102749 (2020)
Reference 24
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Observation 9b20e629-1786-43e7-9db7-139363d062b0 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification IEEE Transactions on Multimedia22(7), 1744–1755 (2020)
Reference 25
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Observation 74235059-68f2-4b13-989c-0736f308438c · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification IEEE journal of biomedical and health informatics26(3), 1128– 1139 (2021)
Reference 26
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Observation a3d272c0-4d60-469e-9d6a-6929113cadb8 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
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Observation 3a969687-65f2-4c5e-894f-8d635d0883af · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification JAMA cardiology6(6), 624–632 (2021)
Reference 28
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Observation 9b9b8263-57db-4532-8ef7-ae7ef9439286 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification BMC medical informatics and decision making20(1), 310 (2020)
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Observation a56a0b59-2359-42f9-8e06-ed93e9a40940 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification In: Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, pp
Reference 30
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Observation f4bfdbbe-6e22-4f98-bf54-f0d7f95d70ef · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Wiley interdisciplinary reviews: computational statistics2(4), 433–459 (2010)
Reference 31
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Observation f2f881df-cf2d-4376-a87f-99b4a69eac62 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification American heart journal146(3), 388–397 (2003)
Reference 32
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Observation 063b39b0-4d67-47d2-a263-ce60216ecc59 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification IEEE transactions on pattern analysis and machine intelligence37(9), 1904–1916 (2015)
Reference 33
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Observation 55a35fe5-1392-4fab-b9fa-638e9a0ff517 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Network In Network
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Observation 9af8b0d8-7060-4131-aa68-f40558f08b62 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification In: 2016 Fourth International Conference on 3D Vision (3DV), pp
Reference 35
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Observation 5e543c03-b9dd-4a7c-8fbb-3cdaa2c7adca · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp
Reference 36
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Observation 013c28f4-159f-4717-bae0-1a2318d1556f · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Nature methods18(2), 203–211 (2021)
Reference 37
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Observation c03ea751-cf7e-4c72-a1ca-7652ab11e5f3 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Clinical Physiology and Functional Imaging41(5), 443–451 (2021)
Reference 38
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Observation 7670f0c9-a013-4677-bf50-2c5b28825f49 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification data from the hunt study
Reference 39
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Observation be00b5c9-37ec-44f2-b8dd-f0a46e17fd47 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification Unresolved cited work
Reference 40
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Observation 71edbe91-f199-4ecf-94bd-070bc44c70e6 · outbound
Interpretable and backpropagation-free Green Learning for efficient multi-task echocardiographic segmentation and classification npj Digital Medicine8(1), 341 (2025) 26
Reference 41
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No inbound Pith citation observations are available.