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Paper Citation Record · LEDGER

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.12463.

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

pith.paper-citation-record.v1
1811.12463 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T16:05:44.121550Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T16:06:15.435055Z

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 92489a43-2af3-44fa-a793-16d6a8f108ae · inbound

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation cites this paper.

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-24T16:06:15.437678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T16:05:44.121550Z digest=sha256:567794283159519c1da295853c9a1d58e7eb599577c4125dcb6df1a6aff7e37d

Observation e6ee81f7-8283-472e-bd82-a4d48d5b0ddf · inbound

Learning to Place Objects with Programs and Iterative Self Training cites this paper.

Learning to Place Objects with Programs and Iterative Self Training Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-23T01:22:21.530367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T01:17:51.623280Z digest=sha256:35a602d5fb9e136f02c68f477bfdde933f2c8a8c4f6b3e68745f59004fd6a639