Paper Citation Record · LEDGER

High-Quality Entity Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.05776.

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

pith.paper-citation-record.v1
2211.05776 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:53:40.610445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:16:08.444874Z

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 e50bd8f8-6d02-4569-b306-2bb42972e049 · inbound

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data cites this paper.

Splatting Physical Scenes: End-to-End Real-to-Sim from Imperfect Robot Data High-Quality Entity Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:40.610445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc94c67a-09fd-4c51-b678-6c1a2c617183 · inbound

OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots cites this paper.

OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots High-Quality Entity Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:07:34.318931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9154616b-c5bf-41ee-8fdf-ab11c808e7b9 · inbound

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes cites this paper.

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes High-Quality Entity Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:52.615195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1cf2ec5-72d9-4da9-a3ec-5c5fd0d2b903 · inbound

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation cites this paper.

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation High-Quality Entity Segmentation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:57.862654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2404393e-e61d-480e-8f00-670230df862f · inbound

Zero-shot World Models Are Developmentally Efficient Learners cites this paper.

Zero-shot World Models Are Developmentally Efficient Learners High-Quality Entity Segmentation

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:16:08.448563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be16dbe2-da42-4813-9ffe-366c1ac7125f · inbound

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging cites this paper.

CDIS: Cross-Dimensional Class-Agnostic 3D Instance Segmentation via 2D Mask Tracking and 3D-2D Projection Merging High-Quality Entity Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T17:07:30.148667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec6a009-1277-433d-9074-85de31c27370 · inbound

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning cites this paper.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning High-Quality Entity Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:56:43.183792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71abc44-b18f-4f1a-93b6-089704796abd · inbound

Efficient Tracking and Understanding Object Transformations cites this paper.

Efficient Tracking and Understanding Object Transformations High-Quality Entity Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T11:55:11.059687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.