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Paper Citation Record · LEDGER

A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.10249.

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

pith.paper-citation-record.v1
2403.10249 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:58:46.938761Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.468044Z

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 a7e411f2-4e15-4c4b-8fdb-e7cd637ea077 · inbound

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios cites this paper.

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-11T21:58:46.938761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:58:46.938761Z digest=sha256:bfd9f4ce65299688b173230b4eb145678a88e8ae1b71fe8a93c637238dfb216c

Observation 64866c6f-6117-4ae2-95ef-e9b628981719 · inbound

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset cites this paper.

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T23:39:19.505234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:39:19.505234Z digest=sha256:5098d362e4b7baaf00a6f2672ace05373002c12c9a71538543a138538813e9bf

Observation a6e9e9cc-3981-461b-a2e5-1af74847a6e6 · 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 A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.471456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:a7b90f0ae4c6540135542cf5946863627ee9a55670f4e24ff28e84a4f9151afe

Observation 291a6655-4eff-4c59-b5b5-59f778ba06c7 · inbound

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning cites this paper.

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T23:27:34.307515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:27:34.307515Z digest=sha256:c9ff254543dfc84b681f0fc9eb6c8be84a3132d4bd925773caf729bcfed70e27

Observation e5d0ab07-f9a7-430c-a851-cd186750a8d4 · inbound

Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal Grounding cites this paper.

Open-Ended Video Game Glitch Detection with Agentic Reasoning and Temporal Grounding A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:41:03.772918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T18:24:23.950768Z digest=sha256:e5580a01434bb73e624b6f407e08dd14047d107a965284134b4532b1ba64a5ac

Observation d158903d-08ec-4bd9-9c8c-a2625b769af0 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges

Reference 298

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.796290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.796290Z digest=sha256:3923307a16c7c064a526f24a6b2480a07635c5b1c609453fac2994e1d2c821ca