Paper Citation Record · LEDGER

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation

As of 3 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.31094.

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

pith.paper-citation-record.v1
2605.31094 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:07:21.563551Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

24 of 24 outbound references displayed

verified exact9
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c299127-75ce-402c-8a41-293df4dcc00b · outbound

This paper cites RadGPT: Constructing 3D Image-Text Tumor Datasets.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation RadGPT: Constructing 3D Image-Text Tumor Datasets

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.271729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8006eb87-659e-4040-9ae9-e0407637376a · outbound

This paper cites The liver tumor segmentation benchmark (lits).Medical image analysis, 84:102680, 2023.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation The liver tumor segmentation benchmark (lits).Medical image analysis, 84:102680, 2023

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59917dc1-b70b-483c-a1c0-322b39af2bc8 · outbound

This paper cites Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation

Reference 3

Resolution: verified exact; doi, observed 2026-06-28T23:12:46.348761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bcabf3ac-e24a-46d0-a87c-2f9808199057 · outbound

This paper cites Sortedap: rethinking evaluation metrics for instance segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Sortedap: rethinking evaluation metrics for instance segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e9743f-64f2-4552-9f62-be105e8aaef9 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation The cityscapes dataset for semantic urban scene understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38fc6a6f-623e-497d-a6cd-3009db1911e3 · outbound

This paper cites Part-aware panoptic segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Part-aware panoptic segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

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Observation 948fcc13-e19b-4e84-827a-e44fa912e5f1 · outbound

This paper cites Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology.Scientific reports, 13(1):8614, 2023.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Panoptic quality should be avoided as a metric for assessing cell nuclei segmentation and classification in digital pathology.Scientific reports, 13(1):8614, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1413a9-9b38-4ad1-86b2-221f7bdd1dfd · outbound

This paper cites Girshick, and Jitendra Malik.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Girshick, and Jitendra Malik

Reference 8

Resolution: verified exact; doi, observed 2026-06-28T23:12:46.350352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 57fa23a4-94f1-496b-9657-4e44e3216135 · outbound

This paper cites Mask R-CNN.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Mask R-CNN

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:12:47.280721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 583c9fd9-9e0e-419e-857a-1acdd54cc10a · outbound

This paper cites The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge.Medical image analysis, 67:101821, 2021.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation The state of the art in kidney and kidney tumor segmentation in contrast-enhanced ct imaging: Results of the kits19 challenge.Medical image analysis, 67:101821, 2021

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eacc18f-1598-4fb7-a8cc-c56b77bd26a7 · outbound

This paper cites Every component counts: rethinking the measure of success for medical semantic segmentation in multi-instance segmentation tasks.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Every component counts: rethinking the measure of success for medical semantic segmentation in multi-instance segmentation tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411fd3ee-40b8-4f08-ab29-f1f81b396408 · outbound

This paper cites Virtual reality-empowered deep-learning analysis of brain cells.Nature Methods, 21(7):1306–1315, 2024.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Virtual reality-empowered deep-learning analysis of brain cells.Nature Methods, 21(7):1306–1315, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9259a4d-df64-4cf8-939c-afe50c9c190d · outbound

This paper cites Panoptic segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Panoptic segmentation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dad3cfd-124e-4a1a-a806-8499db35f80a · outbound

This paper cites Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.278437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 248d0757-f6d7-465d-aa8b-1fdfce5729c8 · outbound

This paper cites Blob loss: Instance imbalance aware loss functions for semantic segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Blob loss: Instance imbalance aware loss functions for semantic segmentation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7f7765-5572-488d-a0b1-e69052e211f7 · outbound

This paper cites an unresolved cited work.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01780caf-c42a-4a43-9d3e-7ed3fc6714ab · outbound

This paper cites Cluster dice: a simple and fast approach for instance-based semantic segmentation evaluation via many-to-many matching.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Cluster dice: a simple and fast approach for instance-based semantic segmentation evaluation via many-to-many matching

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83105160-baa9-41e5-8af1-b23f3f8b6829 · outbound

This paper cites Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.283363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0cfaa837-031d-4461-84a4-0b14dbe3f46d · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Fully Convolutional Networks for Semantic Segmentation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:12:47.277863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5c38093-2c96-41c2-847a-3001389d6e77 · outbound

This paper cites Metrics reloaded: recommendations for image analysis validation.Nature methods, 21(2):195–212, 2024.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Metrics reloaded: recommendations for image analysis validation.Nature methods, 21(2):195–212, 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571764af-b20a-4599-b155-d2a0ea352bf0 · outbound

This paper cites arXiv preprint arXiv:2504.12527 (2025).

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation arXiv preprint arXiv:2504.12527 (2025)

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:12:47.275484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d06cb833-49c8-4dc0-a9cb-fd2df10c9211 · outbound

This paper cites ccDice: A topology-aware Dice score based on connected components.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation ccDice: A topology-aware Dice score based on connected components

Reference 23

Resolution: verified exact; doi, observed 2026-06-28T23:12:46.346461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 62f2913d-ecc2-445c-a27c-063744a4ac6c · outbound

This paper cites Genetically programmable barcodes for correlative volume electron microscopy.2023 Synthetic Biology: Engineering, Evolution & Design (SEED), 2023.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Genetically programmable barcodes for correlative volume electron microscopy.2023 Synthetic Biology: Engineering, Evolution & Design (SEED), 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 663f53af-a4e0-4729-8d23-b28087256790 · outbound

This paper cites an unresolved cited work.

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:07:21.563551Z

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Pith citing papers

No inbound Pith citation observations are available.