Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GameGPT: Multi-agent Collaborative Framework for Game Development
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2310.08067.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:27:37.280318Z
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.
Observation cd91e442-f3b4-43cf-83a1-b389b7bc7ab8 · inbound
Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development cites this paper.
Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development GameGPT: Multi-agent Collaborative Framework for Game Development
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:27:37.280318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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.