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Paper Citation Record · LEDGER

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.07964.

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

pith.paper-citation-record.v1
1904.07964 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:50.714926Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:21:39.787424Z

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 35dfb33a-f03e-48e3-a609-486a229010bc · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models 3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:50.714926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:50.714926Z digest=sha256:a08b2f7011c56bc7511c682c23874124c14f8f5d00cc44abbf41e5b4594f4484

Observation 56be04cd-fd43-4ac8-b560-8bc8be711c24 · inbound

SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI cites this paper.

SketchConcept: Sketching-based Concept Recomposition for Product Design using Generative AI 3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:21:39.792330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:21:39.640899Z digest=sha256:480254e0fe59a0256b9bc235c439c8a0bf637c39a00ca30726d087614cfdb410