Paper Citation Record · LEDGER

GameGPT: Multi-agent Collaborative Framework for Game Development

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.08067.

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

pith.paper-citation-record.v1
2310.08067 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:24.635723Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:21.455495Z

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 d74514b8-0867-4b62-bccd-5156c79c994f · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.580541Z

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.

Observation 72c351fa-a10d-4d82-bc76-d963b06524f8 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 291

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.063207Z

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.

Observation 7f54e707-c08b-4bf8-9a78-2f1c016b84a3 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:24.635723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27db0869-1524-4cfb-8485-95df6fc64692 · inbound

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs cites this paper.

Communicative Agents for Slideshow Storytelling Video Generation based on LLMs GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:23.430674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55207d5a-87a0-42ba-b492-73abf76da459 · inbound

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs cites this paper.

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T23:54:26.314854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeb906d8-e9ce-47d1-b132-ad580d9d45af · inbound

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:57:46.900899Z

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.

Observation c5a5fd06-f20e-4fd7-b966-b029165a260c · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:58:14.250457Z

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.

Observation d21653f4-5898-429d-be1c-3ee6797f1c7f · inbound

UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development cites this paper.

UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:21.456942Z

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.

Observation 2db56037-5f95-4bb9-97f6-4314e5ad9bda · inbound

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective cites this paper.

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective GameGPT: Multi-agent Collaborative Framework for Game Development

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:18:04.511605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.