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Paper Citation Record · LEDGER

Conformal Prediction Sets for Instance Segmentation

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2602.10045.

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

pith.paper-citation-record.v1
2602.10045 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T02:42:46.604864Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:45:39.710174Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T04:45:40.046687Z

Reference resolution

14 of 14 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dd4aaeb-bfb4-4e0f-a040-95114072de9e · outbound

This paper cites Confident object detection via conformal prediction and conformal risk control: an ap- plication to railway signaling.

Conformal Prediction Sets for Instance Segmentation Confident object detection via conformal prediction and conformal risk control: an ap- plication to railway signaling

Reference 1

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no resolver link, observed 2026-08-03T02:42:45.065245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:42:45.065245Z digest=sha256:f22e44244108c59ed2743269722cf1f539c77ca7350f13eb7d396b0be4a17d7f

Observation a0ff48c9-b050-4203-b3da-cf7fca11e879 · outbound

This paper cites Next, define M:X × Y × Pk →[0,1] to be the function given by M(x, y, J)≡max ˆy∈u(x,J) IoU(y,ˆy) for allx∈ X, y∈ Y,andJ⊆[k].

Conformal Prediction Sets for Instance Segmentation Next, define M:X × Y × Pk →[0,1] to be the function given by M(x, y, J)≡max ˆy∈u(x,J) IoU(y,ˆy) for allx∈ X, y∈ Y,andJ⊆[k]

Reference 2

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Observation fd00992d-7690-44a0-9364-98d11c9e843d · outbound

This paper cites cov- ered.

Conformal Prediction Sets for Instance Segmentation cov- ered

Reference 10

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Observation cebada33-8483-4e84-846f-452d168291d3 · outbound

This paper cites Thus, we can apply Conformal Risk Control (Angelopoulos et al., 2022).

Conformal Prediction Sets for Instance Segmentation Thus, we can apply Conformal Risk Control (Angelopoulos et al., 2022)

Reference 12

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Observation a303b739-02b8-4898-b227-0c0bdb4ce589 · outbound

This paper cites an unresolved cited work.

Conformal Prediction Sets for Instance Segmentation Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-03T02:42:46.529785Z digest=sha256:d68764dd6cf8c15f097aa77e811274b7131a5946cc1a0a1ad812cbea8dc99b7c

Observation 1334cad8-a525-4f4b-9e9e-b5a4dce968e8 · outbound

This paper cites We evaluate our method on 200 images with car instance labels from the Cityscapes street scene validation dataset (Cordts et al., 2016).

Conformal Prediction Sets for Instance Segmentation We evaluate our method on 200 images with car instance labels from the Cityscapes street scene validation dataset (Cordts et al., 2016)

Reference 14

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Observation 3667a428-2741-4fa8-807d-c682bcfc3370 · outbound

This paper cites Towards PAC Multi-Object Detection and Tracking.

Conformal Prediction Sets for Instance Segmentation Towards PAC Multi-Object Detection and Tracking

Reference 39

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Observation 4d0952d0-6bf2-4d3c-a88b-3fc2650867e9 · outbound

This paper cites Reducibility among Combina- torial Problems.

Conformal Prediction Sets for Instance Segmentation Reducibility among Combina- torial Problems

Reference 49

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Observation 9f45d1b5-f3fe-464b-b673-7a59412140f1 · outbound

This paper cites Conformal Object Detec- tion by Sequential Risk Control.

Conformal Prediction Sets for Instance Segmentation Conformal Object Detec- tion by Sequential Risk Control

Reference 55

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Observation 46b2e191-7125-4d67-8a7e-788ad8984233 · outbound

This paper cites Cellpose-SAM: superhuman generalization for cellular segmentation.

Conformal Prediction Sets for Instance Segmentation Cellpose-SAM: superhuman generalization for cellular segmentation

Reference 157

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Observation 98c5855b-ba3e-441e-9d6f-33729b3f8d64 · outbound

This paper cites CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition.

Conformal Prediction Sets for Instance Segmentation CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition

Reference 398

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Observation fd9c2675-d163-43cf-8c64-f8d3b6bee757 · outbound

This paper cites Conformal Risk Control.

Conformal Prediction Sets for Instance Segmentation Conformal Risk Control

Reference 591

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Observation df0af64c-b88e-4583-a227-e4c71330953b · outbound

This paper cites an unresolved cited work.

Conformal Prediction Sets for Instance Segmentation Unresolved cited work

Reference 2022

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Observation 8f39a3cc-826f-4912-a545-06a626c55049 · outbound

This paper cites Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP.

Conformal Prediction Sets for Instance Segmentation Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP

Reference 2197

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Pith citing papers

Observation d1786682-bc85-4cbe-8b4b-d9db9436e31d · inbound

Conformal Coverage Guarantees for Any Video Temporal Grounder cites this paper.

Conformal Coverage Guarantees for Any Video Temporal Grounder Conformal Prediction Sets for Instance Segmentation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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