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Paper Citation Record · LEDGER

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2312.11865.

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

pith.paper-citation-record.v1
2312.11865 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:58:39.450250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.722790Z

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 c31b4420-b116-4bd3-8314-4553650af079 · inbound

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization cites this paper.

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T21:58:39.450250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:58:39.450250Z digest=sha256:5f5e69304118275de1814f2986144f0ad682e031b8b57218af6927db7418f30f

Observation a4200bfa-0c1c-4be1-917e-77387fddbed6 · inbound

Closed-Loop Vision-Language Planning for Multi-Agent Coordination cites this paper.

Closed-Loop Vision-Language Planning for Multi-Agent Coordination Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.576409Z

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.

source=pdf_text observed=2026-05-23T03:09:26.256999Z digest=sha256:07ea1db2f1fcf388789012500d5820efd08d51d9f89955998e9e58da342c13d7

Observation 9d77b1f1-1c5b-435b-b392-b38480933177 · inbound

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences cites this paper.

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T03:12:28.484335Z

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.

source=pdf_text observed=2026-05-23T03:09:43.596964Z digest=sha256:9313a79e163c7232a71b51c6f0025481ddb124a7714c323e70cd5e542e8a8742

Observation dba7ae56-c724-417d-b318-3223159b3d4a · inbound

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs cites this paper.

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:46.176908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:46.176908Z digest=sha256:682636d28c6adeeafe287233a329d5db76114260a33cb23fafd9e627d21e1840

Observation 586183d7-d6bd-4604-98e1-8c51d10f2db8 · inbound

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra cites this paper.

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:45.190061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:45.190061Z digest=sha256:93b091e784c4fb01280fa83cb12d1dee881d7588335af4ca1db5628266b89b25

Observation 76ff4d3a-2290-4ff7-a32d-e0d66c1507ac · inbound

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making cites this paper.

EvoCurr: Self-evolving Curriculum with Behavior Code Generation for Complex Decision-making Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T21:01:24.720356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:01:24.720356Z digest=sha256:59de20eeb8a84ab168bff954b1a6d6815f12306780b7bedb9282b69fbb264327

Observation dbc43c42-d622-4b38-adcf-05c7e4bed081 · inbound

SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models cites this paper.

SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:32.750167Z

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.

source=pdf_text observed=2026-06-28T09:42:43.553869Z digest=sha256:648d9354e34911d9288c60e25137eb91dc966ffabe2c1f51c393606c947cd9de

Observation d75d2808-0ff6-42f9-a1de-20424c1f45c6 · inbound

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners cites this paper.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.724227Z

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.

source=pdf_text observed=2026-06-26T09:13:55.624609Z digest=sha256:59dec2bd4df8a6a088e03e4497d0ae2a6b2879e5ef219155371436453397f314