Paper Citation Record · LEDGER

StarCraft II: A New Challenge for Reinforcement Learning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:1708.04782.

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

pith.paper-citation-record.v1
1708.04782 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:36:15.462731Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

685
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d0273461-0999-4404-ba80-a2ac269a3c0d · inbound

On Multi-Agent Learning in Team Sports Games cites this paper.

On Multi-Agent Learning in Team Sports Games StarCraft II: A New Challenge for Reinforcement Learning

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T15:56:01.083402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c1a135e8-97c2-4348-b5b8-8bb4ced94a95 · inbound

On the notion of number in humans and machines cites this paper.

On the notion of number in humans and machines StarCraft II: A New Challenge for Reinforcement Learning

Reference 67

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T15:00:57.476299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06e99ac3-fe0a-4ed6-b238-a3534fdbba75 · inbound

Growing Action Spaces cites this paper.

Growing Action Spaces StarCraft II: A New Challenge for Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T13:25:52.321518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35e75a83-3d24-4313-a2d7-1f86f895855d · inbound

Why Build an Assistant in Minecraft? cites this paper.

Why Build an Assistant in Minecraft? StarCraft II: A New Challenge for Reinforcement Learning

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:24:48.301430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5bbccb0-2ae1-48a0-bc6a-915220e915df · inbound

Arena: a toolkit for Multi-Agent Reinforcement Learning cites this paper.

Arena: a toolkit for Multi-Agent Reinforcement Learning StarCraft II: A New Challenge for Reinforcement Learning

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T18:36:19.029469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9bcdcb0-802e-4441-84fb-064b766c5d51 · inbound

On the Measure of Intelligence cites this paper.

On the Measure of Intelligence StarCraft II: A New Challenge for Reinforcement Learning

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T13:05:34.246284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4a229d33-acbc-40af-a90f-f670dfd602d6 · inbound

PyTorch: An Imperative Style, High-Performance Deep Learning Library cites this paper.

PyTorch: An Imperative Style, High-Performance Deep Learning Library StarCraft II: A New Challenge for Reinforcement Learning

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T15:14:37.086856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a615c1f-66db-42b6-82eb-928eaa70934f · 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 StarCraft II: A New Challenge for Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:12:28.494471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2ce40946-0517-48f3-80c3-2264f19c5da5 · inbound

A Survey of Continual Reinforcement Learning cites this paper.

A Survey of Continual Reinforcement Learning StarCraft II: A New Challenge for Reinforcement Learning

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:27:11.200227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73ff22d3-c7c3-48d1-953f-a0b2b2609ca5 · inbound

IPR-1: Interactive Physical Reasoner cites this paper.

IPR-1: Interactive Physical Reasoner StarCraft II: A New Challenge for Reinforcement Learning

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:55:14.975569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e74255b-5665-4594-95d9-a444c91c232d · inbound

IPR-1: Interactive Physical Reasoner cites this paper.

IPR-1: Interactive Physical Reasoner StarCraft II: A New Challenge for Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T21:29:36.422499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac265728-4253-471e-8af7-15834ae13a00 · inbound

Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Game cites this paper.

Switch-JustDance: Benchmarking Whole Body Motion Tracking Controllers Using a Commercial Console Game StarCraft II: A New Challenge for Reinforcement Learning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-17T06:39:10.386962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 97f471f9-1bc0-4763-a86e-55caebe366d5 · inbound

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents cites this paper.

TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents StarCraft II: A New Challenge for Reinforcement Learning

Reference 2017

Resolution: malformed identifier; no resolver link, observed 2026-08-03T11:34:15.008621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 632aa44b-fc82-4fa7-a48b-6500e5f4c9e9 · inbound

RAMP: Hybrid DRL for Online Learning of Numeric Action Models cites this paper.

RAMP: Hybrid DRL for Online Learning of Numeric Action Models StarCraft II: A New Challenge for Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:35:58.090609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7472ead7-3b43-4085-9065-6a680560dba0 · inbound

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL cites this paper.

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL StarCraft II: A New Challenge for Reinforcement Learning

Reference 236

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:30:58.230035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 13d15c3f-9fbf-4f32-8182-40d3ad2a5d0c · inbound

Approximation-Free Differentiable Oblique Decision Trees cites this paper.

Approximation-Free Differentiable Oblique Decision Trees StarCraft II: A New Challenge for Reinforcement Learning

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:40:53.745981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fc3b084-9943-4ab5-a6ef-862454ba4e2c · inbound

WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing cites this paper.

WebCQ: Cooperative Multi-Agent Deep Reinforcement Learning for Scalable Web GUI Testing StarCraft II: A New Challenge for Reinforcement Learning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:29:44.151813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58d66827-551c-4d64-9bdc-0f3b65458729 · inbound

SAT-RTS: A systematic framework for tactical knowledge extraction and visualization-based analysis in real-time strategy games cites this paper.

SAT-RTS: A systematic framework for tactical knowledge extraction and visualization-based analysis in real-time strategy games StarCraft II: A New Challenge for Reinforcement Learning

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:04:20.409447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba9d1d9b-71c7-463d-8eb5-9b8cc00973b6 · inbound

Play Like Champions: Counterfactual Feedback Generation in Latent Space cites this paper.

Play Like Champions: Counterfactual Feedback Generation in Latent Space StarCraft II: A New Challenge for Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:47:18.891339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b8400634-b611-4eb0-9d7d-0024ad964428 · inbound

A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space cites this paper.

A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space StarCraft II: A New Challenge for Reinforcement Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:04:31.485558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb921b60-8587-4df8-a10a-236f5ba8dce5 · inbound

EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming cites this paper.

EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming StarCraft II: A New Challenge for Reinforcement Learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-04T21:36:15.462731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.