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Paper Citation Record · LEDGER

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization

As of 7 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2505.23469.

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

pith.paper-citation-record.v1
2505.23469 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:38.980638Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea886755-5eac-46c1-9d88-0d0aa0563b87 · outbound

This paper cites an unresolved cited work.

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization Unresolved cited work

Reference 1992

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:48:39.613271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:38.809861Z digest=sha256:5761c84dc1bdf985a9faa60578874dc3930686f000f31b3c8b4e584fc4d3d9dd

Observation 775854bc-3635-4e3b-bbb1-e9848b7572f5 · outbound

This paper cites InComputer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V.

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization InComputer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:48:39.902395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:38.751057Z digest=sha256:ce77057e17654596336a6dfd77253e6206b4d53fc8e7b00fbdd1add834becc62

Observation 5f48052b-d6f8-4862-a406-55779dfcd7bd · outbound

This paper cites Point-E: A System for Generating 3D Point Clouds from Complex Prompts.

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:38.980638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:38.980638Z digest=sha256:a978cacf5cf407f45d7ca812009c697d32dd44fdc47b638ccba7892a2c3e4bf7

Observation d33a2aa5-08a8-45ad-b430-4e62e3ac1f19 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence46, 12 (2024), 9957– 9974.

A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization IEEE Transactions on Pattern Analysis and Machine Intelligence46, 12 (2024), 9957– 9974

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:48:39.324485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:48:38.899810Z digest=sha256:9050eaefd1e61c844b63366b8c5be5af44daa0473f4ed7fa040a1169ad355245

Pith citing papers

No inbound Pith citation observations are available.