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Paper Citation Record · LEDGER

BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.08988.

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

pith.paper-citation-record.v1
2002.08988 v4

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:06:49.001023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:21:28.797151Z

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 ec9552a8-8465-4a7e-90ed-c1a94ba96ba0 · inbound

CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images cites this paper.

CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T05:06:49.001023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:06:49.001023Z digest=sha256:6255709a2a5ee7b8f3e95121cbcb07839a034b127fb5548a514c168dd0d90986

Observation f7a5b521-eb3e-4772-adc6-0554087d2008 · inbound

Learning to Theorize the World from Observation cites this paper.

Learning to Theorize the World from Observation BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Reference 212

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:21:28.852556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-07T17:15:43.429602Z digest=sha256:ee3b030b6e92438a44680cf64e716357f0f6f70e789a9f7872d7ddac786d47d3