Paper Citation Record · LEDGER

Are Large Vision Language Models Good Game Players?

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.02358.

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

pith.paper-citation-record.v1
2503.02358 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:40.579494Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:29.896833Z

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 7a376b86-59df-4aeb-b987-b5ce65fecef5 · inbound

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning cites this paper.

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning Are Large Vision Language Models Good Game Players?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:21:40.579494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02fe79c-1624-437b-8b49-0ee96d2f2def · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments Are Large Vision Language Models Good Game Players?

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:57:16.260439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 13890d53-bbb2-41f5-aaca-ccddb212759b · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games Are Large Vision Language Models Good Game Players?

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:02:16.612341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1ce07bc8-1df4-45d2-82ff-aaabc762d526 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Are Large Vision Language Models Good Game Players?

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-07T06:00:19.512670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ca0a40-c2fa-4da1-ab9f-7a09d8626334 · inbound

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time cites this paper.

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time Are Large Vision Language Models Good Game Players?

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:41:00.390122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a6ae204-9b8b-4ac0-a32c-3c25c34e0474 · inbound

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time cites this paper.

Mastering PokeGym: Graph-Guided Multimodal Evolution at Test Time Are Large Vision Language Models Good Game Players?

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T05:32:20.439029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f301212-2bbe-4801-bce7-83d5a7ee00a1 · inbound

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics cites this paper.

OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamics Are Large Vision Language Models Good Game Players?

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.898758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.