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Paper Citation Record · LEDGER

High-Quality Entity Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:05:16.138710Z

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 04b7e7bd-be0f-4737-a9bc-320e07c1cee5 · inbound

Multitwine: Multi-Object Compositing with Text and Layout Control cites this paper.

Multitwine: Multi-Object Compositing with Text and Layout Control High-Quality Entity Segmentation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T20:05:16.138710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:05:16.138710Z digest=sha256:0fe1d8e5c1760697b25c7644dec0007448ec0cc144a6be3d3012221554a6de43

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.

source=pdf_text observed=2026-08-07T10:53:40.610445Z digest=sha256:cb2adefdd4065fb4e2be7cfdc973bed20887164886127f3d32bb2f8698155435

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.

source=pdf_text observed=2026-08-07T04:07:34.318931Z digest=sha256:0f80cfd841f8aee6b96128dd91f378ba9adda94e577c657cbfcafdfe7fdff75f

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.

source=pdf_text observed=2026-08-06T18:24:52.615195Z digest=sha256:e50243b6e86e5e2c278b05bcac1cb7c2159066fed9067bbad6460cd8fc5f07b8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:44:01.158027Z digest=sha256:86f0c09c74211259698132191640a2ad6054193c4b0814a8d4484ebf1afe1403

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:33:39.342672Z digest=sha256:faaf0b4f3a90fdc5f487db748bfe4f7244a5f6d54c010b0c5eb510ef9280142d

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.

source=pdf_text observed=2026-08-01T17:07:30.148667Z digest=sha256:34ea90d3c7148f172186a6794b4bcaf38335936f61080ea2d62fd620f60e31a0

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.

source=pdf_text observed=2026-08-01T15:56:43.183792Z digest=sha256:8542ad40731593c1e82fd7753c5ef80107aeeff6bea109a63f54717566a2d1b5

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.

source=pdf_text observed=2026-08-01T11:55:11.059687Z digest=sha256:6a18c52474ae6d51c441d5e36a1154466efab841d51ea52240486e5079462823