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Paper Citation Record · LEDGER

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2111.10633.

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

pith.paper-citation-record.v1
2111.10633 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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:09.039242Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:30:49.709499Z

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 554d696f-1bbb-415d-b994-fba6bec9714d · inbound

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision cites this paper.

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:58:09.039242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:58:09.039242Z digest=sha256:61cbabbe45d82f88ab7105eb14cb4279e84b413144b53d382099a01bf88fdc91

Observation fcccfed0-530c-4ea6-be87-dad0949fa185 · inbound

LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming cites this paper.

LEAN-3D: Low-latency Hierarchical Point Cloud Codec for Mobile 3D Streaming Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:30:49.720909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:07:07.744139Z digest=sha256:7d054b67f6f97d654856a33abb2298a5ec55456af1d433ea4ba9d86460d2f11f

Observation 05905cdd-63f4-4aeb-a722-b067d0d2a962 · inbound

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression cites this paper.

Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:27.432591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:27.432591Z digest=sha256:001c5710515cce66a7f472ae3b9d1dd55ed7c6bf25f535d253b06538bfe1827f