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Paper Citation Record · LEDGER

Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.05674.

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

pith.paper-citation-record.v1
2007.05674 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:57:01.650297Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9edbeefb-bb2c-4ffc-8ffa-cf93eae90455 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:31.490436Z

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=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:a2c1eb139b792d7a7667ca1e8d7c90a9eef48e10a9db32879089124e76bca61e

Observation 9fd70db5-bffe-460b-8a3f-43f1eea54535 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T22:57:01.650297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:01.650297Z digest=sha256:b0dbfef548f94958b2a5e8470e9ae22146041cae14440433d292b5d6f35b508e