Paper Citation Record · LEDGER

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2504.12078.

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

pith.paper-citation-record.v1
2504.12078 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:26.983069Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact7
verified fuzzy14
unresolved19
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7d4d551-0ffb-4de5-9169-4719eb7b0e5c · outbound

This paper cites Cell detection with star-convex polygons.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Cell detection with star-convex polygons

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.694448Z

Source-reported events for the cited work

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Observation e38f017e-87dd-4193-8f6b-67e525b62779 · outbound

This paper cites Cellpose: a generalist algorithm for cellular segmentation.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Cellpose: a generalist algorithm for cellular segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.702868Z

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Unavailable: canonical work link unavailable.

Observation 04393cdf-4060-4366-92a3-98722cfa25e8 · outbound

This paper cites Carpenter, Thouis R.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Carpenter, Thouis R

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.711090Z

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Observation 79d54299-083f-4553-a57d-edf953dc7b34 · outbound

This paper cites Humphries, P.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Humphries, P

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.723376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 677412be-9d26-47cf-8f80-5bc169332f1d · outbound

This paper cites Vaccinia virus vaccines: past, present and future.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Vaccinia virus vaccines: past, present and future

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.342633Z

Source-reported events for the cited work

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Observation 565cf04c-3b76-4346-8cbe-46d4a7810eb6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects U-net: Convolutional networks for biomedical image segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.741220Z

Source-reported events for the cited work

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Observation 43434e33-3ea4-4e17-bcbc-c518a2af2eb5 · outbound

This paper cites Isoodl: Instance segmentation of overlapping biological objects using deep learning.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Isoodl: Instance segmentation of overlapping biological objects using deep learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.753314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c7bf8c-06c8-4f0c-a55d-8fa645c9e52c · outbound

This paper cites Isoov2dl - semantic instance segmentation of touching and overlapping objects.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Isoov2dl - semantic instance segmentation of touching and overlapping objects

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.765704Z

Source-reported events for the cited work

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Observation 48b8106c-b513-4362-8cf8-111c8795e343 · outbound

This paper cites A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.772859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3356f9bb-a029-42c2-95f7-514951d68725 · outbound

This paper cites Double branch parallel network for segmentation of buildings and waters in remote sensing images.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Double branch parallel network for segmentation of buildings and waters in remote sensing images

Reference 10

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.272146Z

Source-reported events for the cited work

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Observation c92d20b7-4c88-4f17-b178-cab83e6a01ea · outbound

This paper cites Globally optimal segmentation of multi-region objects.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Globally optimal segmentation of multi-region objects

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.320655Z

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.

Observation 6924668e-2fec-40b9-8f4e-6817116c74ad · outbound

This paper cites Fast approximate energy minimization with label costs.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Fast approximate energy minimization with label costs

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.294369Z

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.

Observation 4ee6e81c-e7c6-45ad-8908-11b2f6f601d8 · outbound

This paper cites Computer vision approaches to medical image analysis.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Computer vision approaches to medical image analysis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.271903Z

Source-reported events for the cited work

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Observation 50c6363f-4815-43bc-8039-e67ded6f9023 · outbound

This paper cites Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for Multi-Human parsing.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for Multi-Human parsing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.238597Z

Source-reported events for the cited work

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Observation 7a19e372-7470-4cdb-bd40-1d30529ac1db · outbound

This paper cites The distribution of the flora in the alpine zone.1.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects The distribution of the flora in the alpine zone.1

Reference 15

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Source-reported events for the cited work

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Observation 8bfba5b6-ca9f-4462-8a8f-579e2eda9b23 · outbound

This paper cites A delay metric for video object detection: What average precision fails to tell.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects A delay metric for video object detection: What average precision fails to tell

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.206682Z

Source-reported events for the cited work

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Observation ddad600f-7b9f-4d2b-b0d8-ff5bd781bacb · outbound

This paper cites Robust and decomposable average precision for image retrieval.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Robust and decomposable average precision for image retrieval

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.168010Z

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.

Observation 37b276ee-db23-45db-bd70-0718e34cf157 · outbound

This paper cites SortedAP : Rethinking evaluation metrics for instance segmentation.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects SortedAP : Rethinking evaluation metrics for instance segmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.142056Z

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.

Observation 6be67f87-aeaf-4a72-a492-b195cb41da1b · outbound

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Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 7e49923f-464a-4678-bc2f-c80ffc19fdfd · outbound

This paper cites Gismondi.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Gismondi

Reference 20

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Observation a6a229b7-94cc-41e9-8eb0-0bef7be076bb · outbound

This paper cites Machine-learning-based automated quantification machine for virus plaque assay counting.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Machine-learning-based automated quantification machine for virus plaque assay counting

Reference 21

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.203436Z

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Observation 567d3803-4420-48e7-9f7a-4e65ed016312 · outbound

This paper cites Deep learning.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Deep learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.863648Z

Source-reported events for the cited work

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Observation 6bd9e507-52a5-41da-a493-9fc47339f1ec · outbound

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Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Unresolved cited work

Reference 23

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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.

Observation b39c545c-fef9-4f68-aa08-e0f48d7c37a1 · outbound

This paper cites Optimizing star-convex functions.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Optimizing star-convex functions

Reference 24

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.165474Z

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

Observation 41d40456-bc13-4382-9677-54d00359f725 · outbound

This paper cites A computational approach to edge detection.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects A computational approach to edge detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.097241Z

Source-reported events for the cited work

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Observation 7ca87c50-4e2c-4713-a1c2-aba25b16dd29 · outbound

This paper cites A mathematical theory of communication.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects A mathematical theory of communication

Reference 26

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Observation 6a65ab34-273a-4c94-b8e3-2b247c4b2fb8 · outbound

This paper cites Anomaly Detection and Complex Event Processing over IoT Data Streams With Application to eHealth and Patient Data Monitoring; Mean Absolute Error.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Anomaly Detection and Complex Event Processing over IoT Data Streams With Application to eHealth and Patient Data Monitoring; Mean Absolute Error

Reference 27

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.148267Z

Source-reported events for the cited work

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Observation 9c747c71-930a-47a5-9aae-ff50f4481322 · outbound

This paper cites Splinedist: Automated cell segmentation with spline curves.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Splinedist: Automated cell segmentation with spline curves

Reference 28

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Observation 2498764c-6085-4598-8242-a9d27ecdd3ad · outbound

This paper cites Set Theory: An Introduction to Independence Proofs.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Set Theory: An Introduction to Independence Proofs

Reference 29

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.125735Z

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Observation 511c4c64-5cea-4f3e-8edb-3a0b6fa79b36 · outbound

This paper cites HeLaCytoNuc: fluorescence microscopy dataset with segmentation masks for cell nuclei and cytoplasm , June 2024 a.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects HeLaCytoNuc: fluorescence microscopy dataset with segmentation masks for cell nuclei and cytoplasm , June 2024 a

Reference 30

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Observation 90be0430-cf88-41ef-b263-24da4a054d66 · outbound

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Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Unresolved cited work

Reference 31

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Source-reported events for the cited work

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Observation 682a4864-1edf-4a1b-b11a-a3efff4af873 · outbound

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Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Unresolved cited work

Reference 32

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Source-reported events for the cited work

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Observation 8d36c274-24a5-4968-b9de-c418300f4e70 · outbound

This paper cites VACVPlaque: mobile photography of Vaccinia virus plaque assay with segmentation masks , June 2024 b.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects VACVPlaque: mobile photography of Vaccinia virus plaque assay with segmentation masks , June 2024 b

Reference 33

Resolution: verified exact; doi, observed 2026-08-16T12:40:27.073630Z

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.

Observation 9e6b9ee2-46a2-4ccf-9522-1b5c34cc82c3 · outbound

This paper cites TensorFlow : Large-scale machine learning on heterogeneous systems, 2015.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects TensorFlow : Large-scale machine learning on heterogeneous systems, 2015

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:28.028164Z

Source-reported events for the cited work

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Observation b060e6d2-a0ae-4ae4-bb58-4849f794bbff · outbound

This paper cites PyTorch : An imperative style, High-Performance deep learning library.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects PyTorch : An imperative style, High-Performance deep learning library

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:27.994009Z

Source-reported events for the cited work

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Observation 2187bf78-90ad-4a6f-b7ac-be5d799fce95 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Adam: A Method for Stochastic Optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.953675Z

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Observation 3c91ba89-9ab7-4dd5-9c86-eeabd36f6d86 · outbound

This paper cites Pytorch 1.9.0 documentation: Reducelronplateau, 2016.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Pytorch 1.9.0 documentation: Reducelronplateau, 2016

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:27.964137Z

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.

Observation 305192a0-08c5-4070-a702-d74ee3efe045 · outbound

This paper cites Bertsekas.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Bertsekas

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:27.938153Z

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.

Observation ee656e2a-a12f-4aad-8dd1-b978c1565572 · outbound

This paper cites Lightweight deep learning for resource-constrained environments: A survey.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects Lightweight deep learning for resource-constrained environments: A survey

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:40:27.905331Z

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.

Observation 2985d1f6-4ecf-4137-acef-de5afe14a4a8 · outbound

This paper cites The Computational Limits of Deep Learning.

Single-shot Star-convex Polygon-based Instance Segmentation for Spatially-correlated Biomedical Objects The Computational Limits of Deep Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.983069Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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