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Paper Citation Record · LEDGER

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.02565.

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

pith.paper-citation-record.v1
1811.02565 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:46:05.258271Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:40:15.385595Z

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 3c1a5312-d078-4c4f-be1e-2bc57f91be96 · inbound

Interpolated Convolutional Networks for 3D Point Cloud Understanding cites this paper.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T13:46:05.258271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:46:05.258271Z digest=sha256:11691eeb1dd4b8486e2548ed3ae2247c25ff43e6806c484d1d29314df1ca4072

Observation 7f6ebe9a-6e5e-465b-a8b7-f27306220541 · inbound

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data cites this paper.

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:40:15.392751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:40:15.210645Z digest=sha256:3a239e08e6e8ba598442efe9923422428f18ec2a9630d91c5c8a478a5fe71dd4