Paper Citation Record · LEDGER

Deep Learning Based 3D Segmentation: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.05423.

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

pith.paper-citation-record.v1
2103.05423 v5

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:11.987490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:07:12.622633Z

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 f6b942f2-45b1-496e-85a5-5e2e0b7710f5 · inbound

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions cites this paper.

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions Deep Learning Based 3D Segmentation: A Survey

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:42:23.334525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 24c2e416-847e-4bda-ba9a-6dc8a037c5fa · inbound

GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes cites this paper.

GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes Deep Learning Based 3D Segmentation: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T23:44:11.987490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54d1e32-1c12-4090-a1d7-34a1b6f0cb5d · inbound

RGB-Pointmap Pretraining for Unified 3D Scene Understanding cites this paper.

RGB-Pointmap Pretraining for Unified 3D Scene Understanding Deep Learning Based 3D Segmentation: A Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:23:17.897288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8eea5d3-2086-4289-b4fc-b2840686423a · inbound

Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization cites this paper.

Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization Deep Learning Based 3D Segmentation: A Survey

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:12.624271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.