Paper Citation Record · LEDGER

Panoptic Segmentation: A Review

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.10250.

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

pith.paper-citation-record.v1
2111.10250 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:32.619133Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:27:20.227710Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 21159530-3f6f-4bd5-a97d-6b4f7399e38d · inbound

Hybrid Artificial Intelligence Strategies for Drone Navigation cites this paper.

Hybrid Artificial Intelligence Strategies for Drone Navigation Panoptic Segmentation: A Review

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:39.211234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9829a0c-7ccc-4f47-9275-aa6deeeefdc5 · inbound

A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions cites this paper.

A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions Panoptic Segmentation: A Review

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:32.619133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579de55c-4d1f-4f10-b152-c97f38c742c9 · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey Panoptic Segmentation: A Review

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:20.231845Z

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.

Observation 0616d400-2063-4c43-881a-14f95469331f · inbound

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction cites this paper.

SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction Panoptic Segmentation: A Review

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T20:38:20.839890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.