Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:46:02.380551Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2412.03192.
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 2026-08-11T22:46:02.380551Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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
71 of 71 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 034fa16d-41da-4f14-a6c2-f103909df433 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ronneberger, P
Reference 1
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Observation ab4c5850-2f19-4eec-91ca-995044a7f491 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 2
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Observation e06c5e9f-1e2b-41ba-8713-e085409187e9 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 3
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Observation 6a89072e-8e1e-4f70-9bf5-28e57bd9a595 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Milletari, N
Reference 4
Source-reported events for the cited work
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Observation 74393d52-4a66-4402-b4e4-8b78ce877561 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 5
Source-reported events for the cited work
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Observation 52484fce-c8ec-4be6-ada0-9c460da5159a · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hatamizadeh, Y
Reference 6
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Observation 5b7dd5ba-5ee9-4347-9d3a-0375e4997bbf · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 7
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Observation fb0bfab6-95d0-4b7b-8f65-a79b4a313bfe · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 8
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Observation af1b9c40-01f0-49a9-b8f3-ea16a2ed1d03 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Isensee, P
Reference 9
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Observation 1e05d785-2f7e-4d66-af2f-a49f8c080720 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging C ¸ ic ¸ek, A
Reference 10
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Observation 56f42333-8a74-4c37-b9ce-a1a5c944a335 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 11
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Observation 4958ab88-c506-4ff7-ad25-c7fb2e17a2bf · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Basak, R
Reference 12
Source-reported events for the cited work
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Observation 3684c5ba-6f24-4da6-8827-19041eff1175 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Karimi, K
Reference 13
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Observation e8719f7d-9efa-4d5d-b664-9182d166910f · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 14
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Observation 9947dac6-7d44-4272-ae23-f22bfc336b71 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Shrestha, H
Reference 15
Source-reported events for the cited work
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Observation c27a850a-9e89-4c05-b5d5-b24a4a92408f · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Haykin, Neural networks and learning machines, 3rd Edition, Pearson, 2009
Reference 16
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Observation 2ffa1c3d-7019-4e8e-a23f-cae812542d56 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Gerstner, W
Reference 17
Source-reported events for the cited work
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Observation d0804751-6774-45cd-a563-458efe0abdfe · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Reference 18
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Observation 6953e835-485d-40aa-986e-1ce91becbb25 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Krotov, J
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65b0fa90-0e2f-4428-835e-451db03d5499 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Moraitis, D
Reference 20
Source-reported events for the cited work
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Observation 5c68d774-e375-45d2-9ec0-be0eb67c1c78 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F
Reference 21
Source-reported events for the cited work
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Observation 4fd4e0f2-1496-4d0f-a78c-509921015ae9 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Pehlevan, T
Reference 22
Source-reported events for the cited work
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Observation 4658c03d-0204-44e5-a2b0-70e14c309b1c · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Bahroun, A
Reference 23
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Observation 0f1a4236-e378-4cf5-9e36-bde8bba753b4 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F
Reference 24
Source-reported events for the cited work
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Observation 11f1c5e3-e0ac-417d-9658-2ad7f196873a · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Sirinukunwattana, J
Reference 25
Source-reported events for the cited work
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Observation 170f965c-286e-44ed-8524-5e2d2a2633da · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Mendonc ¸a, P
Reference 26
Source-reported events for the cited work
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Observation e057a942-6f33-4c0c-993f-3936679ca7f6 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Mazziotti, F
Reference 27
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Observation fbf70099-955f-47b8-acaa-7aaf6ed302ad · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Xiong, Q
Reference 28
Source-reported events for the cited work
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Observation fd8b7566-ba93-45b6-9953-59a63d24759b · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 29
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Observation 2b022ef7-cd7a-4089-abca-d67e279e3943 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 30
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Observation 62acb135-9512-42c3-bee0-68bcbcd61444 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ouali, C
Reference 31
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Observation 1a7afb0a-75b9-4d47-b909-6d154541e557 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 32
Source-reported events for the cited work
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Observation c192babf-060a-4313-9960-288892c2eead · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 33
Source-reported events for the cited work
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Observation 4a606a6a-c22d-44e3-b0b7-19f6fc18f14a · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 34
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Observation ad5087cf-b96f-4521-a470-34b03c5b8aa1 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 35
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Observation 77b7efe3-4ef7-48f6-bf7d-292ce38f5cd3 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ouyang, C
Reference 36
Source-reported events for the cited work
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Observation f4c22527-375e-4fef-8e6f-47ebfdd485ed · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Devlin, M.-W
Reference 37
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Observation 018d0001-e6a4-473f-adac-c9f4f24eb7cb · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ciampi, F
Reference 38
Source-reported events for the cited work
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Observation cf517ca3-eeef-4f2b-a176-8fdb9d9539c7 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 39
Source-reported events for the cited work
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Observation 50b1b29e-d5eb-4179-8ce8-88ddb1d767db · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 40
Source-reported events for the cited work
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Observation 92281418-83df-4b37-aa7d-00cf6df7648c · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Badar, A
Reference 41
Source-reported events for the cited work
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Observation c0642092-23f4-46d1-8e2c-55ec8bbf3204 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 42
Source-reported events for the cited work
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Observation 7547a152-a4e0-4626-bce8-f3dd832ab833 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Javed, Q
Reference 43
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Observation 59d8c3bd-da6b-425a-9974-ce64d4c77b64 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hassabis, D
Reference 44
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Observation e23de896-5ea8-4350-86e8-3cf79f80d0b9 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 45
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 46
Source-reported events for the cited work
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 47
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 48
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging G ¨oltz, L
Reference 49
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Observation a42d7d11-5285-4b13-9d31-01c391a7519f · outbound
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Reference 50
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Observation 7fd96cd4-8014-4b58-abf6-b631d94167ba · outbound
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Reference 51
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Journ ´e, H
Reference 52
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, C
Reference 53
Source-reported events for the cited work
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Observation 654dfc7d-ac12-4c60-bdf0-a0217b650d3e · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ciampi, G
Reference 54
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Observation 5237ab50-53e6-4e7f-8b79-34448db6c82a · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Badrinarayanan, A
Reference 55
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Bengio, P
Reference 56
Source-reported events for the cited work
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Observation a9235351-0393-4fd8-b824-b640ffb9c7bd · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Larochelle, Y
Reference 57
Source-reported events for the cited work
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Observation 813d59ee-f643-44a1-978e-dd8134bbe243 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 58
Source-reported events for the cited work
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Observation 3781f334-5821-466f-b734-d2400d643221 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Zhang, K
Reference 59
Source-reported events for the cited work
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Observation c33d8344-4080-40f0-99fa-70e3f916bd09 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Grossberg, Adaptive Pattern Classification and Univer- sal Recoding, I: Parallel Development and Coding of Neu- ral Feature Detectors, The MIT Press, 1991, p
Reference 60
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Reference 61
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Observation 290a3c67-15f2-4073-86f5-de0fbc55f6cd · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 62
Source-reported events for the cited work
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Observation c25ea7dd-4360-449b-9e8b-66fb38676165 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Karhunen, J
Reference 63
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Observation 94b15751-b6fa-4076-9a86-ddc343ef3d48 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Becker, M
Reference 64
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Observation 45781386-3fb6-42d8-97b8-79b327b80d58 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Luo, Architectures of neuronal circuits, Science 373 (6559) (2021) eabg7285
Reference 65
Source-reported events for the cited work
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Observation 8a6df37f-16b3-4266-b143-0e67a730f94f · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging A guide to convolution arithmetic for deep learning
Reference 66
Source-reported events for the cited work
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Observation 9824c5a3-26a5-4a41-bd71-90f01320fd0c · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F
Reference 67
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Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hebbian Deep Learning Without Feedback
Reference 68
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Observation 65de6c6a-d3dd-4aa7-9e59-8fb2e3756d62 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 69
Source-reported events for the cited work
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Observation 095f6054-21bf-4cc7-9a8a-5c40d57048c9 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 70
Source-reported events for the cited work
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Observation 5ef16c68-7a14-4651-9138-1ecb4d8d10c5 · outbound
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work
Reference 241
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.