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Paper Citation Record · LEDGER

GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.02605.

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

pith.paper-citation-record.v1
2207.02605 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:33:36.399109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:55:23.054186Z

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 744e5947-1494-49e5-b88e-06c4efff9951 · inbound

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation cites this paper.

PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:55:23.058138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:55:22.937252Z digest=sha256:0700ea1ceafe74898d569c1c5193a85fdf5f9f02aa669ae56e51eb93d2eebd08

Observation 47d4bbd3-c6f8-4888-8f37-b7c6de5dbc17 · inbound

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging cites this paper.

FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:33:36.399109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:33:36.399109Z digest=sha256:31329c7eed902a7792675a4b349f2b3cce1d70eab1ef9217e07654925d0c4cbe

Observation 811b6de3-0918-45fe-b187-27a8ec7518d4 · inbound

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing cites this paper.

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T22:09:45.937004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:09:45.937004Z digest=sha256:bef0f4c8df4ffbc075e2483c866b492b0e1cde267d22bf0845ce2c5b4313d96a