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Paper Citation Record · LEDGER

LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1912.05905.

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

pith.paper-citation-record.v1
1912.05905 v3

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:56:08.535939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T11:55:23.036987Z

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 07849c9f-867e-4296-921f-22c5fa951e9d · inbound

ESCAPE: Equivariant Shape Completion via Anchor Point Encoding cites this paper.

ESCAPE: Equivariant Shape Completion via Anchor Point Encoding LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T04:56:08.535939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:56:08.535939Z digest=sha256:4361271847d67ba161126f119331532f9960509b1e4f67fec01532cafdb58320

Observation 997c9de0-fb32-4720-ad03-56f64f03856f · 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 LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:55:23.042651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T11:55:22.944683Z digest=sha256:f85ebe85be215e5615f33d60129cd14906a08fa67f901cc8e81406012bb3e3ce

Observation 65e16d95-aa20-4a65-b8ee-8bf938e719ba · inbound

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints cites this paper.

Resolving Primitive-Sharing Ambiguity in Long-Tailed TLS-Based Industrial MEP Point Cloud Segmentation via Spatial Context Constraints LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T07:48:20.531618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:48:20.531618Z digest=sha256:a3e58465fd4ee69e75c3efb1201f82f9561332f4531f0ecb405741697b4eab11