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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 2026-08-08T06:32:00.761636+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=sha256:0cc6847c159b2b0221b9cbc9edb58d8ed99e3142f0ca1774b4b8c0571d8c9056

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T03:09:26.256999Z digest=sha256:8a0b965757f1e95788558298b6cbcd9afa76f6f4b2746b79c4207ada550542d0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T03:09:43.596964Z digest=sha256:ce4cb538d44d0f2d6e62944e4aa141f895df6db5cd1cb6a017093f427be23bde

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=sha256:4a47306677113eda14d66c0936ea18de8c7edf5eb2678573c960949b4180cde9

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=sha256:0e43c8da016c16a5ba17af1f1fc7ee911828ef7211be3a09b3c8f991ca8574d9

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:ca9f7bea1323cff6698671be8bb7eb6a5205bbfeafbb9706c8f855fbe4f34ed3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T09:42:43.553869Z digest=sha256:405ba9b8fd389b8c9f60a5f609dd73f12426f410d0744876de2a58140f3faba9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T09:13:55.624609Z digest=sha256:58e878705b2eab27bacf4304c9639e84bf43bb4390133f8b68a525df28c64192