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Paper Citation Record · LEDGER

CSGNet: Neural Shape Parser for Constructive Solid Geometry

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1712.08290.

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

pith.paper-citation-record.v1
1712.08290 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:12.610896Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:22:02.193336Z

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 8ef2b1d1-f947-4386-95ee-da9ac6bb4649 · inbound

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools cites this paper.

Formalizing Linear Motion G-code for Invariant Checking and Differential Testing of Fabrication Tools CSGNet: Neural Shape Parser for Constructive Solid Geometry

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:12.610896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:12.610896Z digest=sha256:421036444f0a4aafab933055d6aff72279d57c7409f716b9d98c2961a9798381

Observation 1de04cf4-3c41-4257-b3da-04041f701b5b · inbound

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes cites this paper.

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes CSGNet: Neural Shape Parser for Constructive Solid Geometry

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:39:41.778956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:19:04.708277Z digest=sha256:b014e545ab2a60bf86684b1ef716af772c9845ffeaff56d334ad5000c0d7f792