Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:10:10.770873Z
Paper Citation Record · LEDGER
Preserving instance continuity and length in segmentation through connectivity-aware loss computation
As of 17 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2509.03154.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
Reference resolution
46 of 46 outbound references displayed
- verified exact2
- verified fuzzy41
- unresolved3
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 42eadacc-b6ad-4b85-9140-62b0bf452cd1 · outbound
This paper cites Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:10:10.833005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 16c2aa98-d53c-4be6-b4c1-9cb698308f79 · outbound
This paper cites Clough, Israel Valverde, Giovanni Montana, and Andrew P.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Clough, Israel Valverde, Giovanni Montana, and Andrew P
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:16.080440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 919d8ee2-61cb-4b7d-a32e-9b6c9fccb686 · outbound
This paper cites Light-sheet fluo- rescence expansion microscopy: Fast mapping of neural cir- cuits at super resolution.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Light-sheet fluo- rescence expansion microscopy: Fast mapping of neural cir- cuits at super resolution
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:15.908717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc7dffd6-674a-459f-962e-70d67d354248 · outbound
This paper cites Tillberg, and Edward S.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Tillberg, and Edward S
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:15.764774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 65fe9a83-e6fc-4e95-8ad0-c4df0d243aec · outbound
This paper cites Dumitrescu, Mark D.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Dumitrescu, Mark D
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eb555d61-2d13-45f8-9b67-55d56ee839e9 · outbound
This paper cites Topological persistence and simplification.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Topological persistence and simplification
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:15.415059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 82eea909-1e72-4cc0-99b9-ce9f73f94a08 · outbound
This paper cites Hoogenraad.
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 990f21ad-905f-44ee-803c-53020c99ba36 · outbound
This paper cites Contribution of axon initial segment structure and channels to brain pathology.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Contribution of axon initial segment structure and channels to brain pathology
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cbacc1b6-3cd0-406f-bd40-52c0a2934f60 · outbound
This paper cites Activity-dependent re- location of the axon initial segment fine-tunes neuronal ex- citability.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Activity-dependent re- location of the axon initial segment fine-tunes neuronal ex- citability
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:14.904855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fddfe9b7-f6a6-4113-b32e-1d074bfbbec1 · outbound
This paper cites Neuroscience: A plastic axonal hotspot.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Neuroscience: A plastic axonal hotspot
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ec1fa156-e390-439a-9642-9f01a5748ef4 · outbound
This paper cites Impact of loss function in deep learning methods for accurate retinal vessel segmenta- tion, 2022.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Impact of loss function in deep learning methods for accurate retinal vessel segmenta- tion, 2022
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:14.562224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1db8c36d-a995-4d3f-99a7-2e76a72a2c0b · outbound
This paper cites Topology-preserving deep image segmentation, 2019.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Topology-preserving deep image segmentation, 2019
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:14.398808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c850c4a6-1952-4f22-aec7-b1ba9b7d5e8d · outbound
This paper cites Heterogeneity of the axon initial segment in interneurons and pyramidal cells of rodent visual cortex.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Heterogeneity of the axon initial segment in interneurons and pyramidal cells of rodent visual cortex
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:14.226667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5e0b93c1-8753-461d-80ed-86ca69097101 · outbound
This paper cites Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian Wirkert, and Klaus H.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian Wirkert, and Klaus H
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:14.059248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 443abe92-f4f8-475b-a33c-81b47feada16 · outbound
This paper cites an unresolved cited work.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Unresolved cited work
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation c9cfdbd5-13d8-47a2-89bf-73a02828447a · outbound
This paper cites Sensory input drives rapid homeostatic scaling of the axon initial segment in mouse barrel cortex.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Sensory input drives rapid homeostatic scaling of the axon initial segment in mouse barrel cortex
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:13.755794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 41cbe957-c82b-4e77-bf68-299c234394e5 · outbound
This paper cites Manjunath.
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:13.611551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 82997fe3-e05f-4dbf-82ac-4fa2a22a2e53 · outbound
This paper cites Iyer, Eric A.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Iyer, Eric A
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:13.451859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a24833a5-ea71-4c33-81f1-47dad2c8cc54 · outbound
This paper cites Automated sorting of neu- ronal trees in fluorescent images of neuronal networks us- ing neurotreetracer.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Automated sorting of neu- ronal trees in fluorescent images of neuronal networks us- ing neurotreetracer
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:13.242271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b5f9f74-ea7b-4a23-900b-4d32e0bce728 · outbound
This paper cites Dynamic deep net- works for retinal vessel segmentation, 2019.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Dynamic deep net- works for retinal vessel segmentation, 2019
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:13.082670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc2c7949-17fe-45d4-bb0c-c9f84ffde529 · outbound
This paper cites Action potential generation requires a high sodium channel density in the axon initial segment.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Action potential generation requires a high sodium channel density in the axon initial segment
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.956866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d3775dff-6b8c-419d-8cfe-28c3fe744d50 · outbound
This paper cites The electrical signifi- cance of axon location diversity.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation The electrical signifi- cance of axon location diversity
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.757981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 050eddb1-8bd7-429e-ac85-17d779cff431 · outbound
This paper cites Presynap- tic activity regulates na channel distribution at the axon ini- tial segment.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Presynap- tic activity regulates na channel distribution at the axon ini- tial segment
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.587289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d2b340bf-5bf1-483c-babc-188cb40c374e · outbound
This paper cites Measure anything: Real-time, multi- stage vision-based dimensional measurement using segment anything, 2024.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Measure anything: Real-time, multi- stage vision-based dimensional measurement using segment anything, 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.419109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e618d3e-f9b2-44e3-8fc5-26d2b6f007e0 · outbound
This paper cites Alterations in the axon initial segment plasticity is involved in early pathogenesis in alzheimer’s disease.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Alterations in the axon initial segment plasticity is involved in early pathogenesis in alzheimer’s disease
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.202004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e14619be-4b7d-4e8c-8641-2561612b751f · outbound
This paper cites Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, and Johannes C.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Berger, Alexander Weers, Nico Stucki, Daniel Rueckert, Ulrich Bauer, and Johannes C
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:12.021454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4c2629ae-b47f-4975-b8de-287072d21d46 · outbound
This paper cites an unresolved cited work.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T11:10:11.850189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b0a9351-2818-4d4e-96ef-aeeb7c92e915 · outbound
This paper cites Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:11.672868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a8807501-7a8c-470e-8e50-e416f1863296 · outbound
This paper cites napari: a multi-dimensional image viewer for python, 2019.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation napari: a multi-dimensional image viewer for python, 2019
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ac9398c8-79ad-42fa-b6ea-e2bc90c174ce · outbound
This paper cites Topology-aware loss for aorta and great vessel segmentation in computed tomography im- ages, 2024.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Topology-aware loss for aorta and great vessel segmentation in computed tomography im- ages, 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:11.396150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b963aac8-46db-4a35-843c-ebfa2852c274 · outbound
This paper cites The axon initial segment and the main- tenance of neuronal polarity.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation The axon initial segment and the main- tenance of neuronal polarity
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b9aac615-0c44-48ce-97a7-a166f7c4eb40 · outbound
This paper cites Imaging of the axon initial segment.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Imaging of the axon initial segment
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 873bb4ca-3e3c-4092-8304-b9a64007db98 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation,.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation U-net: Convolutional networks for biomedical image segmentation,
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08857e79-026b-4b5c-b5bc-bed845198064 · outbound
This paper cites Fiji: an open-source platform for biological- image analysis.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Fiji: an open-source platform for biological- image analysis
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0dd688e6-d2f1-4b0a-9cca-395e85c90bf1 · outbound
This paper cites GitHub repos- itory for clDice: Topology-aware Loss Function for Tubu- lar Structure Segmentation.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation GitHub repos- itory for clDice: Topology-aware Loss Function for Tubu- lar Structure Segmentation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:11.041099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d4b2e86b-909b-4b75-bd5e-bb11ecbde860 · outbound
This paper cites cldice-a novel topology-preserving loss function for tubular structure seg- mentation.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation cldice-a novel topology-preserving loss function for tubular structure seg- mentation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:11.011940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b42bd605-4bde-4f0a-ac0c-37fe08c7157a · outbound
This paper cites Paetzold, and Ul- rich Bauer.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Paetzold, and Ul- rich Bauer
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.987483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 684f08bd-bda6-4f70-8dd3-4cb5ce26ed2d · outbound
This paper cites Live imaging of excitable axonal microdomains in ankyrin-g-gfp mice.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Live imaging of excitable axonal microdomains in ankyrin-g-gfp mice
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.967395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 684db2d8-4050-4f24-844c-39e48bd67f87 · outbound
This paper cites Protein-retention expansion microscopy of cells and tissues labeled using standard fluorescent proteins and antibodies.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Protein-retention expansion microscopy of cells and tissues labeled using standard fluorescent proteins and antibodies
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.946939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e8fe3096-b261-4451-824e-ce452736d75e · outbound
This paper cites Efficient com- putation of persistent homology for cubical data.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Efficient com- putation of persistent homology for cubical data
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.922092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3a878e01-4673-4026-90d2-71dff61d56af · outbound
This paper cites App2: Automatic tracing of 3d neuron morphology based on hierarchical pruning of gray-weighted image distance-trees.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation App2: Automatic tracing of 3d neuron morphology based on hierarchical pruning of gray-weighted image distance-trees
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.905794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f56c6ed1-4c65-4da6-8afd-853af20ed396 · outbound
This paper cites CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:10:10.812828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3ef381cd-e5a7-449e-8496-e4dbed45f735 · outbound
This paper cites Angstmann, Yuhuang Wu, Holly Stefen, Esmeralda Pari ´c, Thomas Fath, and Paul M.G.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Angstmann, Yuhuang Wu, Holly Stefen, Esmeralda Pari ´c, Thomas Fath, and Paul M.G
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.890504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e93021bb-850d-4e66-85fd-a00fa97c3a25 · outbound
This paper cites Yermakov, Domenica E.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Yermakov, Domenica E
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.876752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3b220c6b-d57c-4ee5-9976-0f8a21b8ef80 · outbound
This paper cites Axon initial seg- ments: Diverse and dynamic neuronal compartments.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Axon initial seg- ments: Diverse and dynamic neuronal compartments
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.863094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 12fd0c43-aa35-4ca2-a6c9-2db36aed6986 · outbound
This paper cites Topological deep learning: a review of an emerging paradigm.
Preserving instance continuity and length in segmentation through connectivity-aware loss computation Topological deep learning: a review of an emerging paradigm
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T11:10:10.847422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.