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Paper Citation Record · LEDGER

Synthetic Dataset Generation for Partially Observed Indoor Objects

As of 22 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 0 inbound Pith citation observations for arXiv:2604.07010.

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

pith.paper-citation-record.v1
2604.07010 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:13:20.546407Z

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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 exact2
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33c2e346-020c-45f8-8a20-77e22b915d86 · outbound

This paper cites Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items.

Synthetic Dataset Generation for Partially Observed Indoor Objects Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:51.394149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:13:20.546407Z digest=sha256:e59b252171731fd2c6fef6afb96e74e44ef3a655581ef19eed859d403cdd9373

Observation ea815dd6-ed50-4748-9608-30f3b8eb5a9f · outbound

This paper cites DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.

Synthetic Dataset Generation for Partially Observed Indoor Objects DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:20:51.401877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T19:13:20.546407Z digest=sha256:ca1c04cea45aa90343917c3996d802a5133b3fbf3d8dc1999b0e212805a001d2

Pith citing papers

No inbound Pith citation observations are available.