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Paper Citation Record · LEDGER

FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models

As of 18 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2506.16627.

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

pith.paper-citation-record.v1
2506.16627 v2

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:28:02.158865Z

measured 2 of 2 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 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

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 990fde48-291b-4e8b-ae33-c748a316573f · outbound

This paper cites ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.

FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

Reference 2017

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T19:28:02.205867Z

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=pdf_text observed=2026-08-15T19:28:02.154176Z digest=sha256:0ae16d9c5b4612593a631e133627effa937487d2debfa4d860b72efd2a3c4605

Observation 52a74495-5cb7-49c5-8ed0-a4daa94e4d6e · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:02.158865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:28:02.158865Z digest=sha256:ecf47e9a61439ca86fcddf2dc2f7f3e5495d4f168e218bf92d7baf16e09f5686

Pith citing papers

No inbound Pith citation observations are available.