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Paper Citation Record · LEDGER

Game Generation via Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08706.

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

pith.paper-citation-record.v1
2404.08706 v2

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:46:57.741714Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T21:01:25.345492Z

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 860ed6ef-4872-41eb-8a12-8fad47f5ee92 · inbound

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control cites this paper.

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control Game Generation via Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T20:46:57.741714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:46:57.741714Z digest=sha256:94c156a15af9738a794393a0a3f76f196a98acbe52b0aae7e030b9812b441122

Observation 257b93bc-3db8-4566-b7cc-343cb9ab0305 · inbound

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making cites this paper.

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making Game Generation via Large Language Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-05T21:01:25.350657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T21:01:24.677793Z digest=sha256:f1ff6d8edc663aed872ec065b1363d589c523229b06cc6f456c1355dcfb5ee1f