Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:18.533002Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2507.15777.
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 2026-08-06T15:30:18.533002Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
72 of 72 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 573f12de-7f57-4b58-833f-61d6ca32174a · outbound
Label tree semantic losses for rich multi-class medical image segmentation , " * write output.state after.block = add.period write newline
Reference 1
Source-reported events for the cited work
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Observation 54eda968-2a60-48e5-8405-39ecc3f4f253 · outbound
Label tree semantic losses for rich multi-class medical image segmentation write newline
Reference 2
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Unavailable: canonical work link unavailable.
Observation 009b4f37-42d9-4f16-a96e-d25f362b27f4 · outbound
Label tree semantic losses for rich multi-class medical image segmentation C., Janatka, M., MacCormac, O
Reference 3
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Observation 05330cab-cf52-4cdc-92fc-42c1561d0271 · outbound
Label tree semantic losses for rich multi-class medical image segmentation G., Bouzigues, A., Cash, D
Reference 5
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Label tree semantic losses for rich multi-class medical image segmentation K., and Song, D
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Reference 8
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Observation d6710a87-b355-4bbd-b0ac-ea4dbeeae3ac · outbound
Label tree semantic losses for rich multi-class medical image segmentation J., Modat, M., Wolz, R., Melbourne, A., Cash, D., Rueckert, D., et al
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Label tree semantic losses for rich multi-class medical image segmentation M., Bodenstedt, S., Jenke, A
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Label tree semantic losses for rich multi-class medical image segmentation S., Brox, T., and Ronneberger, O
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Label tree semantic losses for rich multi-class medical image segmentation C., Li, K., and Fei-Fei , L
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 16
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Observation b5400d4e-e62e-4e5f-8abc-fab7d8a10e97 · outbound
Label tree semantic losses for rich multi-class medical image segmentation B., Yeo, B
Reference 17
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Reference 18
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Label tree semantic losses for rich multi-class medical image segmentation R., Sosa, C., Bulters, D., et al
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Observation a17a2f13-568f-4faf-855e-7d51b602c6d8 · outbound
Label tree semantic losses for rich multi-class medical image segmentation C., Ekanayake, J., Kitchen, N., Ourselin, S., et al
Reference 20
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Observation ee048c0a-a750-45c6-8c2b-d8bd95c4c0cd · outbound
Label tree semantic losses for rich multi-class medical image segmentation C., Ourselin, S., and Vercauteren, T
Reference 21
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Observation 5319f272-16b4-4e23-8a5f-2cfe68b9058e · outbound
Label tree semantic losses for rich multi-class medical image segmentation H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., et al
Reference 22
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 23
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Observation 543e05e8-f8fb-4efc-b2b8-4f35ff67d759 · outbound
Label tree semantic losses for rich multi-class medical image segmentation C., Horgan, C., Ourselin, S., Ebner, M., and Vercauteren, T
Reference 24
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Label tree semantic losses for rich multi-class medical image segmentation R., and Criminisi, A
Reference 25
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Observation 9b8694da-b7b1-4c40-b930-e0b7152aa090 · outbound
Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 26
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Label tree semantic losses for rich multi-class medical image segmentation S., Sudre, C
Reference 27
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 28
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 29
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Observation 25295f3a-fd12-4d6f-9cb8-f982768f84fb · outbound
Label tree semantic losses for rich multi-class medical image segmentation and Gimpel, K
Reference 30
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 31
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Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 32
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Observation b3c52259-535d-403c-963c-6c3f9fc82c00 · outbound
Label tree semantic losses for rich multi-class medical image segmentation a lt, P., J \
Reference 33
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Observation cd7669e9-7529-44cd-a007-d50a4a8f57a9 · outbound
Label tree semantic losses for rich multi-class medical image segmentation F., Kohl, S
Reference 34
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Observation f2aa6ed8-e217-4c38-9223-69ae6c522564 · outbound
Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
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Observation af1a18d3-3986-4b00-ad0b-fc71b9765e02 · outbound
Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
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Reference 37
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Observation 544501de-9761-4294-899b-db6e66dfece0 · outbound
Label tree semantic losses for rich multi-class medical image segmentation P., and Devabhaktuni, V
Reference 38
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Observation 3cba3874-a826-43b0-bbb3-3754d5737221 · outbound
Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 39
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Observation 351badd9-8b5f-428b-8700-fdc36d327b0b · outbound
Label tree semantic losses for rich multi-class medical image segmentation Constraints on the rate of supernovae lasting for more than a year from Subaru/Hyper Suprime-Cam
Reference 40
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Observation a4445b56-6b09-4484-90a2-34934dc7ccc5 · outbound
Label tree semantic losses for rich multi-class medical image segmentation Unresolved cited work
Reference 41
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Reference 42
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Reference 45
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Reference 46
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Reference 47
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Reference 48
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Reference 49
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Label tree semantic losses for rich multi-class medical image segmentation H., Jakab, A., Bauer, S., Kalpathy-Cramer , J., Farahani, K., Kirby, J., et al
Reference 53
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Reference 54
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Reference 55
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Reference 59
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Reference 60
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Reference 61
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Reference 65
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Reference 66
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Label tree semantic losses for rich multi-class medical image segmentation L., Bocchetta, M., Russell, L
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No inbound Pith citation observations are available.