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Paper Citation Record · LEDGER

MarioGPT: Open-Ended Text2Level Generation through Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.05981.

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

pith.paper-citation-record.v1
2302.05981 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:06:47.023906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.671221Z

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 dbf95857-d52e-4616-a7ee-becd2a568b4f · inbound

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making cites this paper.

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T01:06:47.023906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:06:47.023906Z digest=sha256:6f78e61f4a2e2a320e27b0e211661d4a42c6c84c2a163442f703f8187ec60ac1

Observation 4258b52f-c815-498e-93eb-dabac5c05264 · inbound

AI Native Games: A Survey and Roadmap cites this paper.

AI Native Games: A Survey and Roadmap MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:58.672984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T12:59:20.908659Z digest=sha256:0721c22909052422aa45fe1ca052eef5f81a987181e00d4f7d9210a4d87f9d84

Observation 6a77dc81-5ca2-483b-8be2-1a9076fb9f58 · inbound

AI Native Games: A Survey and Roadmap cites this paper.

AI Native Games: A Survey and Roadmap MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-12T09:30:07.729486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:30:07.729486Z digest=sha256:851b0f5309c0a2ebc6d09f66a8e3baef7da2b24269fbfb09447459e8df508521